Human Resource Management Business HR | HRBP | HR Operations | HRSS | RMG IT As an HR professional -looking for 10 +years of experience ,pref Masters in HR .Some with hands on and strategic thinking and analytical bend of mind. Key skillsets- Business Stakeholder Management,Workforce planning, Onboarding Induction, Performance Management, Employee Engagement Programs, Employee Relations, Retention, Employee Exit Process, Bench Management, HR Administration and Audit, Operations Management,managing Insurance | Subtitling.

Hiring Talend Engineers!Exp-8-12 yearsLocation-Hyderabad/PermanentHybrid ModeRole & responsibilities We are seeking a Data Engineer responsible for developing and implementing the IT technology strategy for the Mortgage Servicing team. This role involves collaborating with business and product teams to design, build, and deliver processes that drives our business and technology objectives within the Mortgage industry. The Data Engineer will focus on executing key initiatives and consolidating research and technologies into a unified technical roadmap to create innovative solutions for both organization and customers.Skill required:8+ years of experience in IT.Talend engineers preferably with snowflake experience.Experience in ETL processes and Data modelling.Understanding of IT concepts and methodologies.Communication: Strong communication skills to collaborate with cross-functional teams.Problem-Solving: Excellent problem-solving skills and attention to detail

Role Overview: The Junior Executive in L&D Team will assist in various HR functions, particularly within Learning & Development and Resource Management. This role offers an excellent opportunity to gain hands-on experience in HR practices, employee development programs, resource planning, and overall HR operations in a dynamic and fast-paced environment. Key Responsibilities: Assist in organizing and coordinating employee training programs, workshops, and development sessions. Support the preparation and delivery of L&D initiatives, including the creation of training materials, content, and presentations. Help track and maintain employee training records and certifications. Assist in the onboarding process by providing logistical support and ensuring resources are available for new employees. Support resource management activities, including scheduling and allocation of internal and external resources for projects and teams. Help manage internal communication regarding training schedules, resources, and HR policies. Maintain and update HR databases, spreadsheets, and reports related to L&D and resource management. Assist in research related to employee training needs, industry trends, and best practices in resource management. Qualifications: A degree in Human Resources, Business Administration, Psychology, or a related field. Strong interest in Learning & Development, Employee Engagement, and Resource Management. Excellent communication skills, both written and verbal. Basic knowledge of L&D practices, employee development, and resource management. Strong organizational skills and attention to detail. Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint). Ability to work independently and as part of a team. Enthusiastic, proactive, and willing to learn. What You Will Gain: Practical experience in HR, L&D, and resource management. Exposure to various HR tools and technologies. An opportunity to contribute to employee development and team success. Mentorship and guidance from experienced HR professionals. Insight into the HR functions and operations of a growing company.

6+ years Experience 1.Data Modeling: Kimbal Model, Start Schema, Snowflake Schema and Data Vault models 2. Any database of listed - Snowflake/My SQL/Azure SQL/Redshift 3.Snowflake schema, Snowflake modeling 4. Any ETL Tool preferred is ADF(Azure Data Factory) 5. DBT is good to have

Lead Data Engineer to design, develop, and maintain data pipelines and ETL workflows for processing large-scale structured and unstructured data. The ideal candidate will have expertise in Azure Data Services (Azure Data Factory, Synapse, Databricks, SQL, SSIS, and Data Lake) along with big data processing, real-time analytics, and cloud data integration and Team Leading Experience. Key Responsibilities: 1. Data Pipeline Development ETL/ELT Design and build scalable data pipelines using Azure Data Factory, Synapse Pipelines ,Databricks, SSIS and ADF Connectors like Salesforce. Implement ETL/ELT workflows for structured and unstructured data processing. Optimize data ingestion, transformation, and storage strategies. 2. Cloud Data Architecture Integration Develop data integration solutions for ingesting data from multiple sources (APIs, databases, streaming data). Work with Azure Data Lake, Azure Blob Storage, and Delta Lake for data storage and processing. 3. Database Management Optimization Design and maintain cloud data bases (Azure Synapse, BigQuery, Cosmos DB). Optimize SQL queries and indexing strategies for performance. Implement data partitioning, compression, and caching for efficiency. 4. Data Governance, Security Compliance Ensure data quality, lineage, and governance with tools like Purview. Implement role-based access control (RBAC), encryption, and security policies. Ensure compliance with GDPR, HIPAA, and ISO 27001 regulations. 5. Monitoring Performance Tuning Use Azure Monitor, Log Analytics, and OpenTelemetry to track performance and troubleshoot data issues. Automate data pipeline testing and validation. 6. Collaboration Documentation Document data models, pipeline architectures, and data workflows. Technical Skills: Cloud Data Services: Azure Data Factory, Azure Synapse, Databricks, SSIS, BigQuery. ETL Data Pipelines: Apache Spark, Python, SQL. Big Data Processing: Delta Lake, Parquet, Hadoop, Event Hubs. Database Management: SQL Server, Cosmos DB. Security Compliance: RBAC, Data Masking, Encryption, Purview. Scripting Automation: Python, PowerShell, Terraform for IaC.

Job Summary: We are seeking a friendly, professional, and organized Receptionist to be the first point of contact for our company. The ideal candidate will handle front desk responsibilities, provide administrative support, and ensure smooth day-to-day operations. Key Responsibilities: Greet and welcome visitors in a warm and professional manner Answer and direct phone calls efficiently Manage incoming and outgoing mail and deliveries Maintain a clean and organized reception area Schedule and manage appointments or meetings Oversee office boys and assign tasks as needed Ensure office cleanliness and tidiness is maintained at all times Assist with administrative tasks such as data entry, filing, and document preparation Handle inquiries and provide accurate information about the company s services Coordinate with different departments for smooth office operations Ensure security procedures are followed by monitoring visitor access Maintaining compliance and clearing ISO SOC audits Employee engagement Event planning and execution

Cappius Technologies Pvt. Ltd. is looking for Data Engineer to join our dynamic team and embark on a rewarding career journey. Liaising with coworkers and clients to elucidate the requirements for each task. Conceptualizing and generating infrastructure that allows big data to be accessed and analyzed. Reformulating existing frameworks to optimize their functioning. Testing such structures to ensure that they are fit for use. Preparing raw data for manipulation by data scientists. Detecting and correcting errors in your work. Ensuring that your work remains backed up and readily accessible to relevant coworkers. Remaining up-to-date with industry standards and technological advancements that will improve the quality of your outputs.

Snowflake Data Engineer Exp-5+ yearsLocation-HyderabadRole & responsibilities Key Responsibilities:Design, develop, and maintain data pipelines using Snowflake.Perform data transformations using dbt (data build tool).Implement data sharing solutions to facilitate data access across teams.Ensure data security and compliance with industry standards.Conduct data migrations and optimize data storage solutions.Collaborate with data analysts, data scientists, and other stakeholders to understand data requirements.Monitor and troubleshoot data pipeline issues to ensure data accuracy and availability.Document data processes and maintain comprehensive technical documentation.Qualifications:Bachelor's degree in Computer Science, Information Technology, or a related field.3-5 years of experience in data engineering, with a focus on Snowflake.Proficiency in SQL and experience with dbt for data transformations.Strong understanding of data warehousing concepts and best practices.Experience with data sharing, security, and compliance in a cloud environment.Familiarity with ETL/ELT processes and tools.Excellent problem-solving skills and attention to detail.Strong communication and collaboration skills.

Hiring Talend Engineers!Exp-4-10 yearsLocation-Hyderabad/PermanentHybrid ModeRole & responsibilities We are seeking a Data Engineer responsible for developing and implementing the IT technology strategy for the Mortgage Servicing team. This role involves collaborating with business and product teams to design, build, and deliver processes that drives our business and technology objectives within the Mortgage industry. The Data Engineer will focus on executing key initiatives and consolidating research and technologies into a unified technical roadmap to create innovative solutions for both organization and customers.Skill required:4+ years of experience in IT.Talend engineers preferably with snowflake experience.Experience in ETL processes and Data modelling.Understanding of IT concepts and methodologies.Communication: Strong communication skills to collaborate with cross-functional teams.Problem-Solving: Excellent problem-solving skills and attention to detail

Lead Data Scientist - GenAILocation: Hyderabad (Onsite/Hybrid)Experience: 8+ yearsOnly Immediate to 30 Days Notice Period will be preferable.About the Role:We are looking for a Project Lead - GenAI with strong expertise in AI, Machine Learning, and Generative AI to lead the development of innovative AI-driven solutions. In this role, you will drive the design, development, and deployment of LLMs, NLP models, and AI agents, ensuring they scale effectively within modern application architectures. If you are an experienced Python engineer with hands-on experience in AI/ML and MLOps, this is a great opportunity to lead impactful projects in a fast-paced environment.Key Responsibilities:Lead and oversee the development of Generative AI solutions from concept to deployment.Design and build scalable AI applications leveraging LLMs, NLP, and AI agents.Architect and optimize data pipelines for AI model training, tuning, and deployment.Implement MLOps best practices for streamlined model deployment and monitoring.Develop and integrate AI models within microservices and event-driven architectures.Stay ahead of the latest advancements in GenAI, AI frameworks, and model fine-tuning techniques.Collaborate with cross-functional teams, including data engineers, ML scientists, and software developers.Drive best coding practices, performance optimization, and AI ethics considerations in AI model development.Must-Have Skills: 8+ years of experience in AI/ML, with a focus on GenAI and NLP. Strong Python engineering skills with experience in building scalable applications. Expertise in Transformers, LLMs, NLP, Machine Learning, and AI agents. Hands-on experience in data pipelines, model training & deployment, and MLOps. Experience working with modern application architectures (Microservices, Event-Driven Systems).Preferred Skills:Knowledge of FastAPI for high-performance API development.Experience with Snowflake for data storage and processing.Hands-on experience with PyTorch or TensorFlow for deep learning model development.Familiarity with LangChain & OpenAI APIs for integrating LLMs into applications.Strong communication & interpersonal skills to lead and collaborate effectively.

Summary: We are seeking a skilled and proactive Data Engineer with a strong background in ETL development and a focus on integrating data quality frameworks. In this role, you will be responsible for designing, developing, and maintaining ETL pipelines while ensuring data quality is embedded throughout the process. You will play a crucial role in building robust and reliable data pipelines that deliver high-quality data to our data warehouse and other systems. Responsibilities: Design, develop, and implement ETL processes to extract data from various source systems, transform it according to business requirements, and load it into target systems (e.g., data warehouse, data lake) Implement data validation and error handling within ETL pipelines. Build and maintain scalable, reliable, and efficient data pipelines. Design and implement data quality checks, validations, and transformations within ETL processes. Automate data quality monitoring, alerting, and reporting within ETL pipelines. Develop and implement data quality rules and standards within ETL processes. Integrate data from diverse sources, including databases, APIs, flat files, and cloud-based systems. Utilize ETL tools and technologies (e.g., SnapLogic, Informatica PowerCenter, Talend, AWS Glue, Apache Airflow, Azure Data Factory, etc.). Write SQL queries to extract, transform, load, and validate data. Use scripting languages (e.g., Python) to automate ETL processes, data quality checks, and data transformations.

Summary: We are seeking a motivated and detail-oriented Data Quality Engineer to join our team and contribute to ensuring the accuracy, completeness, and reliability of our data. In this role, you will be responsible for implementing data quality checks, monitoring data quality, and identifying and resolving data quality issues. Experience with SODA (or similar data quality frameworks) is preferred. Responsibilities: Implement and maintain data quality checks and validations using various tools and techniques. Develop and execute data quality test plans and test cases. Automate data quality processes, including data profiling, data quality checks, and reporting. Contribute to the implementation and maintenance of data quality frameworks and tools. (Preferred) Utilize SODA (or similar frameworks) to define data quality checks, configure data sources, and generate data quality reports. Collaborate with data engineers, data analysts, and other stakeholders to ensure data quality requirements are met. Communicate data quality issues and findings to relevant stakeholders. Investigate and analyze data quality problems to determine root causes.

Anblicks Analytics, thought leader in Data and Cloud Solutions, is looking for a dynamic Assistant Manager - Content Marketing. Job Summary Assistant Manager - Content Marketing will play a crucial role in developing and executing effective content strategies to drive brand awareness, generate leads, and engage our target audience. You will work closely with our marketing team to create compelling content that resonates with our customers and positions us as a thought leader in our industry. Responsibilities Develop and implement comprehensive content marketing strategies aligned with our overall marketing goals. Create high-quality content, including blog posts, articles, whitepapers, infographics, case studies, and social media posts. Conduct thorough keyword research to optimize content for search engines and improve organic visibility. Manage content calendars and editorial workflows to ensure timely delivery of content. Collaborate with design and development teams to create visually appealing and engaging content. Track and analyze content performance metrics to measure effectiveness and identify areas for improvement. Stay up to date with industry trends and best practices in content marketing. Qualifications Excellent oral communications Passion to explore data sciences discipline Bachelor s degree/master s degree in marketing, Communications, Journalism, or a related field. 5+ years of experience in content marketing or a similar role. Work with tech practitioners to collect, collate and present data in the best possible manner. Work on internal communications and external communications Ability to write engaging social media posts Ability to write tech articles on behalf of the leadership team Strong writing and editing skills, with the ability to create clear, concise, and engaging content. Experience with content management systems (CMS) and SEO tools. Knowledge of social media platforms and best practices. Strong analytical skills and ability to measure and report on content performance. Excellent communication and interpersonal skills. Passion for storytelling and the ability to connect with audiences on an emotional level. Preferred Skills Experience with email marketing and marketing automation tools. Knowledge of graphic design or video production. Experience in B2B content marketing. What We Offer A chance to be part of a dynamic and innovative company working on cutting-edge technologies. Competitive salary and benefits package. Professional growth and development. A collaborative and supportive work environment focused on learning

About The Role As ETL Test Engineer you will be expected to perform manual and automation testing in validating data sources, extraction of data, applying transformation logic, and loading data into target tables, working closely with data engineering functions to ensure a sustainable test approach. Responsibilities Collaborate closely with Data Engineering teams to gather requirements, understand data needs, and translate them into test cases. Design, build and maintain test plan and cases for ETL and data testing. Conduct data validation and testing to ensure the accuracy, consistency, and compliance of data. Execute manual and automated tests using Azure Databricks and ADF pipelines. Conduct validations for Power BI semantic Models and reports using PBI tools. Work in an Agile environment using Azure tools. Qualifications Bachelor s degree in computer science Engineering, or a related field. Equivalent work experience will also be considered. 5+ years experience in data engineering testing, ELT testing is a must. Strong proficiency in SQL and experience with Databricks and data warehousing. Strong understanding of SQL and database concepts, with the ability to write efficient queries and optimize performance. Strong understanding of Power BI Semantic models, measures and reports. Strong programming skills, particularly in Python, with experience in automation for Data Testing. Knowledge of cloud-based data platforms (preferably Azure) and their associated data services. Exposure and knowledge on Linux/Unix platforms. Excellent problem-solving and troubleshooting skills, with a strong attention to detail. Effective communication and collaboration abilities, with a proven track record of working in cross-functional teams. Must Have Skills ETL Testing and tools. Python programming. SQL Power BI Azure Databricks and Datafactory.

Job Title: Senior Power BI Location: offshore Job Summary: We are seeking a highly skilled Senior Power BI Specialist with deep expertise in data modeling to join our analytics team. The ideal candidate will excel in Power BI, demonstrate a strong analytical mindset, and have a solid understanding of data modeling at both the Power BI and data warehouse levels. This role requires an individual capable of handling large datasets, identifying patterns, transforming raw data into insightful, actionable reports and possessing strong debugging skills Responsibilities : - Develop, design, and maintain Power BI reports, dashboards, and visualizations to support data driven decision making. - Serve as a data modeler, creating efficient and scalable data models in Power BI and at the data warehouse level. - Analyze and interpret large datasets, identifying trends, patterns, and actionable insights. - Expertly decide on Power BI connectivity modes (Direct Query, Import, etc.) based on data volume and performance requirements. - Utilise advanced DAX functions and Power Query to optimize data transformations and calculations. - Oversee the deployment and management of Power BI Service, including security, data refresh, and performance tuning. - Collaborate with stakeholders to gather requirements and design data models that support business objectives. - Perform SQL-based data extraction and manipulation to support Power BI requirements. - Debug and resolve issues in Power BI reports, SQL code, and data, ensuring data accuracy, performance optimization, and consistent issue resolution. - Apply basic knowledge of ETL processes to enhance data transformation and integration. Requirements: - 6+/7+ years of experience in Power BI, with a strong background in data modeling for both Power BI and data warehouses. - In depth understanding of Power BI tool or BI process. - Excellent communication skills. - Proven ability to design, develop, and optimize data models for large datasets and complex reporting needs. - Strong analytical and debugging skills to identify, analyze, and resolve issues within Power BI reports, SQL code, and data, ensuring data accuracy and performance. - Proficiency in DAX and Power Query, with advanced knowledge of data modeling concepts. - Strong SQL skills for querying, troubleshooting, and data manipulation. - Good understanding of ETL processes. - In-depth knowledge of Power BI Service, including workspaces, datasets, dataflows, and security configurations. Nice to have: - Familiarity with integrating Power BI reports into other applications or platforms. - Knowledge of Power Apps and Power Automate for automation. - Knowledge of Azure Data Factory (ADF) for data integration. - Basic understanding of Python programming.

Job Title: Senior Power BI Location: offshore Job Summary: We are seeking a highly skilled Senior Power BI Specialist with deep expertise in data modeling to join our analytics team. The ideal candidate will excel in Power BI, demonstrate a strong analytical mindset, and have a solid understanding of data modeling at both the Power BI and data warehouse levels. This role requires an individual capable of handling large datasets, identifying patterns, transforming raw data into insightful, actionable reports and possessing strong debugging skills Responsibilities : - Develop, design, and maintain Power BI reports, dashboards, and visualizations to support data driven decision making. - Serve as a data modeler, creating efficient and scalable data models in Power BI and at the data warehouse level. - Analyze and interpret large datasets, identifying trends, patterns, and actionable insights. - Expertly decide on Power BI connectivity modes (Direct Query, Import, etc.) based on data volume and performance requirements. - Utilise advanced DAX functions and Power Query to optimize data transformations and calculations. - Oversee the deployment and management of Power BI Service, including security, data refresh, and performance tuning. - Collaborate with stakeholders to gather requirements and design data models that support business objectives. - Perform SQL-based data extraction and manipulation to support Power BI requirements. - Debug and resolve issues in Power BI reports, SQL code, and data, ensuring data accuracy, performance optimization, and consistent issue resolution. - Apply basic knowledge of ETL processes to enhance data transformation and integration. Requirements: -5+ years of experience in Power BI, with a strong background in data modeling for both Power BI and data warehouses. - In depth understanding of Power BI tool or BI process. - Excellent communication skills. - Proven ability to design, develop, and optimize data models for large datasets and complex reporting needs. - Strong analytical and debugging skills to identify, analyze, and resolve issues within Power BI reports, SQL code, and data, ensuring data accuracy and performance. - Proficiency in DAX and Power Query, with advanced knowledge of data modeling concepts. - Strong SQL skills for querying, troubleshooting, and data manipulation. - Good understanding of ETL processes. - In-depth knowledge of Power BI Service, including workspaces, datasets, dataflows, and security configurations. Nice to have: - Familiarity with integrating Power BI reports into other applications or platforms. - Knowledge of Power Apps and Power Automate for automation. - Knowledge of Azure Data Factory (ADF) for data integration. - Basic understanding of Python programming.

Role/ Designation : PowerBI Developer (Data Engineer) Experience : 3 Years+ in PowerBI Location: Hyderabad / Ahmedabad Role Objective: We are looking for a highly motivated and experienced Senior Power BI Engineer to join our team of data experts. The ideal candidate will have a strong background in designing, developing, and maintaining PowerBi Dashboards reports. As a Power BI Engineer, you will work closely with the Lead Data Engineer and Data Architect to implement end-to-end data solutions, build, and maintain data pipelines, and ensure the quality and integrity of our organizations data. Roles Responsibilities: Study, analyze and understand business requirements in context to business intelligence. Design and map data models to shift raw data into meaningful insights. Utilize Power BI to build interactive and visually appealing dashboards and reports. Spot key performance indicators with apt objectives Analyze pervious and present data for better decision making Transform business requirements into technical publications Build multi-dimensional data models Develop strong data documentation about algorithms, parameters, models Perform detailed analysis on tested and deployed Power BI scripts Run DAX queries and functions in Power BI Define and design new systems Take care of data warehouse development Building Analysis Services reporting models. Developing visual reports, KPI scorecards, and dashboards using Power BI desktop. Connecting data sources, importing data, and transforming data for Business intelligence. Analytical thinking for translating data into informative reports and visuals. Capable of implementing row-level security on data along with an understanding of application security layer models in Power BI. Make essential technical and strategic changes to improvise present business intelligence systems. Identify the requirements and develop custom charts accordingly. SQL querying for better results Skills Experience Required: Bachelors or Masters degree in Computer Science, Information Systems, or a related field Candidate must have minimum 3 years of hands-on experience on Power BI Desktop as well as Power BI Service. Preferred candidate with PL-300 Certification Must be proficient with DAX (Data Analysis Expressions). Be familiar with MS SQL Server BI Stack tools and technologies, such as SSRS and TSQL, Power Query, MDX, PowerBI, and DAX Should be well versed with Power Query. Should have knowledge of SQL (Structured Query Language). Should be good with Data Modelling, and ETL Operations Should have experience on MSBI (Microsoft Business Intelligence) Stack - SSIS: SQL Server Integration Services,SSAS: SQL Server Analysis Services, SSRS: SQL Server Reporting Services. Experience working with Azure (ADF, Synapse, AAS). Expertise in Power BI Service Management. Proficient in doing advanced-level computations on the data set Excellent communication skills are required to communicate needs with client and internal teams successfully

Primary responsibilities include : Perform user acceptance testing from the investigation teams point of view for every feature / data / system that the technology team migrates to production. Have good analytical skills to perform analysis of transactions Be a person with excellent stakeholder management skills i.e. listen to investigation teams concerns and translate that information to the technology team. Perform discovery of newer ERP systems and become a subject matter on those Qualifications : I am thinking someone with an MBA in finance would be good to start with as they have both financial/business experience and technology exposure Preferably worked as an analyst in companies like pwc, Deloitte, EY etc. Should know SQL language to perform UAT (This is a must have)

Snowflake Engineers with 5-8yrs of experience with good work ethics and attitude Strong SQL syntax, Query Optimization and ability to script Complex queries Data Orchestration with ETL tools such as Snaplogic and etc., Design, Build and Manage Data Pipelines within Snowflake DW platform Ensure Effective Data ingestion, transformation using Schema Design and Data Sharing, Time travel Maintain Data Security and Compliance standards Serve adhoc Data needs to Business partners on demand basis Good Communication skills and ability to articulate results and problems.

Job Title: Sr. Data Engineer (Snowflake/DBT) Key Responsibilities Data Pipeline Development: Design, build, and maintain efficient data pipelines using Snowflake and DBT. Data Modeling: Develop and optimize data models in Snowflake to support analytics and reporting needs. ETL Processes: Implement ETL processes to transform raw data into structured formats using DBT. Performance Tuning: Optimize Snowflake queries and DBT models for performance and scalability. Data Integration: Integrate Snowflake with various data sources and third-party tools. Collaboration: Work closely with data analysts, data scientists, and other stakeholders to understand data requirements and deliver solutions. Data Quality: Implement data quality checks and testing to ensure the accuracy and reliability of data. Documentation: Document data transformation processes and maintain comprehensive records of data models and pipelines. Required Skills Proficiency in SQL: Strong SQL skills for writing and optimizing queries. Experience with Snowflake: Hands-on experience with Snowflake, including data modeling, performance tuning, and integration. DBT Expertise: Proficient in using DBT for data transformation and modeling. Data Warehousing: Knowledge of data warehousing concepts and experience with platforms like Snowflake. Analytical Thinking: Ability to analyze complex data sets and derive actionable insights. Communication: Strong communication skills to collaborate with cross-functional teams. Problem-Solving: Excellent problem-solving skills and attention to detail.

Strong Python engineering skills with experience in building scalable applications. AI GenAI expertise - Transformers, LLMs, NLP, Machine Learning, and AI agents. Hands-on experience with data pipelines, model training/deployment, and MLOps. Exposure to modern application architectures (microservices, event-driven systems). Preferred knowledge of FastAPI, Snowflake, PyTorch/TensorFlow, LangChain, and OpenAI APIs. Good communication and interpersonal skills

Job Description: We are seeking a highly skilled Senior Kafka and Scala Developer to join our dynamic team. The ideal candidate will have extensive experience in developing and maintaining scalable, high-performance systems using Kafka and Scala. You will be responsible for designing, implementing, and optimizing data pipelines and distributed systems. Key Responsibilities: Design, develop, and maintain scalable data pipelines using Kafka and Scala. Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions. Optimize and tune Kafka clusters for performance and reliability. Implement best practices for data processing, storage, and retrieval. Troubleshoot and resolve issues related to Kafka and Scala applications. Mentor and guide junior developers in the team. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. 6+ years of experience in software development with a strong focus on Kafka and Scala. Proficiency in designing and implementing distributed systems. Strong understanding of data structures, algorithms, and software design principles. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Skills: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Experience with other big data technologies such as Hadoop, Spark, and Cassandra is a plus. Knowledge of containerization technologies like Docker and Kubernetes. Familiarity with CI/CD pipelines and DevOps practices. Understanding of machine learning and data analytics.

In this role you will: As a Sr.Data Quality Engineer manages and coordinates with internal or external parties the collection, compilation, normalization, and standard analysis of data assets across diverse projects and data platforms. Develops, maintains, evaluates, and tests valuates data solutions within an organization. Develops and executes plans, policies, and practices that control, protect, deliver, and enhance the value and integrity of the organizations data and information assets and programs. Typical Functions: Manipulates and queries data by building SQL and stored procedures single handedly Writes and executes test cases for data-related release items within Agile processes Writes complex SQL queries and handle large data set quality validation Builds a Data Quality Testing Framework from scratch to monitor the quality of data Understands the basic concepts of data Warehousing, ETL to validate changes to them Executes common data quality tests to validate data accuracy, data completeness, data freshness, data integrity, data consistency Builds test cases to validate the generated data analytical report and dashboard Creates database tests to enforce data validation and constraints quality standards Applies your knowledge of dimensional modeling and data warehouse concepts, such as star schemas, snowflakes, dimensions, facts to conduct data analysis Performs statistical tests on large datasets to determine data quality and integrity Evaluates system performance and design, as well as its effect on data quality Collaborates with database developers to improve data collection and storage processes Runs data queries to identify coding issues and data exceptions, as well as cleaning data Gathers data from primary or secondary data sources to identify and interpret trends Keeps abreast of developments and trends in data quality analysis Collects, stores, processes, and analyses raw and/or complex data from multiple sources, recommends ways to apply the data, chooses and designs optimal data solutions, and builds data processing systems, using expertise in data warehousing solutions and working with the latest database technologies. Maintains, implements, and monitors the quality of the data and information with the architecture used across the company; reports on results and identifies and recommends system application changes required to improve the quality of data in all applications. Investigates data quality problems, conducts analysis to determine root causes of problems, corrects errors, and develops prototypes, process improvement plans across all programs, and proof of concepts for the selected solutions. Processes unstructured data into a form suitable for analysis, followed by doing the analysis. Integrates innovations and algorithms into the organizations data systems, working closely with engineering team. Implements complex data projects with a focus on collecting, parsing, managing, analysing, and visualising large sets of data to turn information into insights using multiple platforms. Serves as a data subject matter expert, collaborates with business owners or external clients to establish an analysis plan to answer key business questions, and delivers both reporting results and insights. Generates specific and operational reports in support of objectives and initiatives, and presents and communicates complex analytical data and results to appropriate audiences. Other duties or functions may be assigned. Requirements Bachelors Degree in Engineering, Computer Science, or equivalent experience 6+ Years of Software Quality Assurance experience which includes Data Warehouse Testing Proficiency in SQL ideally within Snowflake SQL with MySQL, SQL Server, and/or PostgreSQL Experience with Sisense or Power BI 5+ years experience developing data driven software Proficiency in programming languages, including Structured Query Language (SQL) Experience writing DBT tests Experience in Agile methods, particularly Scrum, preferred Demonstrated knowledge of critical thinking Professional experience around the data science lifecycle (feature engineering, training, model deployment)

Power BI Developer Position Title: Power BI Developer Experience Required: 6-8 Years Location: Hybrid (3/2) Employment Type: Full-Time Job Summary We are seeking a highly skilled and experienced Power BI Developer to join our dynamic team. The ideal candidate will have 6-8 years of experience in developing and implementing interactive and insightful Power BI dashboards and reports. The role requires strong expertise in SQL, excellent problem-solving skills, and the ability to communicate effectively both verbally and in writing. Key Responsibilities Design, develop, and maintain Power BI dashboards, reports, and visualizations to meet business needs. Write and optimize SQL queries to extract and transform data for reporting and analysis purposes. Collaborate with stakeholders to gather requirements and translate them into technical solutions. Create and manage data models and ensure data accuracy and reliability within Power BI. Develop and maintain Power BI DAX calculations to provide advanced analytical insights. Integrate data from multiple sources to create a consolidated and streamlined reporting framework. Ensure performance optimization of dashboards and reports, enabling fast and efficient data analysis. Support troubleshooting and debugging of Power BI reports and data-related issues. Provide documentation and training for end-users to promote self-service analytics. Work closely with cross-functional teams, including data engineers, analysts, and business users, to ensure seamless integration of data and insights. Required Skills and Qualifications 6-8 years of experience in developing reports and dashboards in Power BI. Proficiency in writing complex SQL queries for data extraction, transformation, and analysis. Hands-on experience with Power BI DAX for advanced calculations and data analysis. Strong knowledge of relational databases and data modeling principles. Familiarity with ETL processes and data integration techniques. Demonstrated ability to work on large datasets and provide actionable insights. Excellent verbal and written communication skills to interact effectively with stakeholders and team members. Strong analytical and problem-solving skills with a proactive approach to challenges. Experience with tools such as Azure Data Factory, SSIS, or other data integration tools (preferred). Understanding of Agile methodologies and the ability to work in fast-paced, collaborative environments. Preferred Qualifications Experience with cloud platforms like Azure Knowledge of other BI tools like Tableau or QlikView is a plus. Certifications in Power BI, SQL, or related technologies. Why Join Us Opportunity to work with a diverse and collaborative team. Exposure to cutting-edge data technologies and challenging projects. Growth opportunities and professional development support. Competitive salary and benefits package. If you are passionate about turning data into actionable insights and have the skills to create impactful Power BI solutions, we encourage you to apply!

Job Description Roles and responsiblities: Job Role Responsibilities: Integral team member of our Data Engineering team responsible for design and development of Big data solutions Partner with domain experts, product managers, analyst, and data scientists to develop Big Data pipelines in Hadoop or Snowflake Responsible for delivering data as a service framework Responsible for moving all legacy workloads to cloud platform Work with data scientist to build Client pipelines using heterogeneous sources and provide engineering services for data science applications Ensure automation through CI/CD across platforms both in cloud and on-premises Ability to research and assess open source technologies and components to recommend and integrate into the design and implementation Be the technical expert and mentor other team members on Big Data and Cloud Tech stacks Define needs around maintainability, testability, performance, security, quality and usability for data platform Drive implementation, consistent patterns, reusable components, and coding standards for data engineering processes Convert SAS based pipelines into languages like PySpark, Scala to execute on Hadoop and non-Hadoop ecosystems Tune Big data applications on Hadoop and non-Hadoop platforms for optimal performance Evaluate new IT developments and evolving business requirements and recommend appropriate systems alternatives and/or enhancements to current systems by analyzing business processes, systems and industry standards. Supervise day-to-day staff management issues, including resource management, work allocation, mentoring/coaching and other duties and functions as assigned Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firms reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency Skills: 3-5 years of experience: 4+ years of experience in hadoop/big data technologies. 3+ years of experience in spark. 2+ years experience in Snowflake 2+ year of experience working on Google or AWS cloud developing data solutions. Certifications preferred. Hands-on experience with Python/Pyspark/Scala and basic libraries for machine learning is required; Experience with containerization and related technologies (e.g. Docker, Kubernetes) Experience with all aspects of DevOps (source control, continuous integration, deployments, etc.) 1 year Hadoop administration experience preferred 1+ year of SAS experience preferred. Comprehensive knowledge of the principles of software engineering and data analytics Advanced knowledge of the Hadoop ecosystem and Big Data technologies Hands-on experience with the Hadoop eco-system (HDFS, MapReduce, Hive, Pig, Impala, Spark, Kafka, Kudu, Solr) Knowledge of agile (scrum) development methodology is a plus Strong development/automation skills Proficient in programming in Java or Python with prior Apache Beam/Spark experience a plus. System level understanding - Data structures, algorithms, distributed storage compute Can-do attitude on solving complex business problems, good interpersonal and teamwork skills Additional Comments Immediate positions

Job Description: Engage with business stakeholders to gather and document detailed functional requirements, identifying data transformation needs to align with business objectives and industry standards. Collaborate with business stakeholders to understand the business needs of private equity, investment banking, and syndicated lending operations. Able to collaborate closely with technology and business teams to map, analyze, and transform data that drives business decisions and supports operational needs. Work closely with IT and business teams to bridge the gap between data sources, business rules, and system requirements, ensuring that data is available for operational and strategic use. Perform data analysis to support decision-making and identify anomalies and business process changes in the private equity and asset management space. Develop test plans and perform business scenario validation. Assist in user acceptance testing. Experience working with data transformation and migration projects in financial services and asset management platforms preferred. Qualifications and Skills: Bachelor s degree in finance, Business Administration is preferred. Experience as a functional business analyst in private equity, investment banking, and syndicated lending domains. This resource should be well-versed in functional domain knowledge around loan servicing in private equity and syndicate lending space. Hands-on experience working with applications like WSO, Allvue, and ACBS is preferred. Knowledge of private equity fund administration, deal structuring, Asset management, and loan servicing. Familiarity with financial products, loan structures, and private equity life cycles. Good understanding of ETL processes and experience with data integration platforms. Translate the business requirements for the ETL build to the tech / IT team. Strong written and verbal communication skills for documenting and explaining data processes to technical and business teams.

4+ years of experience in data science, with proficiency in Agentic frameworks, Python, and SQL. Excellent communication and stakeholder management skills. Strong analytical abilities and problem-solving skills. Proven track record in delivering AI solutions and collaborating with cross-functional teams. Experience deploying ML solutions in production that generate significant value.

Stakeholder Communication Reporting: Translate complex data findings into actionable recommendations for leadership, ensuring transparency and alignment on technical and business goals. Project Planning Roadmap Execution: Develop and manage project roadmaps, define milestones, allocate resources, and ensure timely delivery of technical and data initiatives. Risk Management Issue Resolution: Identify potential project risks, implement mitigation strategies, and proactively resolve roadblocks to ensure smooth execution of data and technical programs. Technical Project Execution: Collaborate with engineering, data science, and business teams to define technical requirements, manage data pipelines, and oversee the execution of data-related initiatives. Process Optimization Automation: Identify inefficiencies in data workflows, implement automation solutions using SQL and other analytical tools, and enhance data reliability for business operations.

Senior PowerBi Developer Role Objective: We are looking for a highly motivated and experienced Senior Power BI Engineer to join our team of data experts. The ideal candidate will have a strong background in designing, developing, and maintaining PowerBi Dashboards reports. As a Power BI Engineer, you will work closely with the Lead Data Engineer and Data Architect to implement end-to-end data solutions, build, and maintain data pipelines, and ensure the quality and integrity of our organizations data. Roles Responsibilities: Study, analyze and understand business requirements in context to business intelligence. Design and map data models to shift raw data into meaningful insights. Utilize Power BI to build interactive and visually appealing dashboards and reports. Spot key performance indicators with apt objectives Analyze pervious and present data for better decision making Transform business requirements into technical publications Build multi-dimensional data models Develop strong data documentation about algorithms, parameters, models Perform detailed analysis on tested and deployed Power BI scripts Run DAX queries and functions in Power BI Define and design new systems Take care of data warehouse development Building Analysis Services reporting models. Developing visual reports, KPI scorecards, and dashboards using Power BI desktop. Connecting data sources, importing data, and transforming data for Business intelligence. Analytical thinking for translating data into informative reports and visuals. Capable of implementing row-level security on data along with an understanding of application security layer models in Power BI. Make essential technical and strategic changes to improvise present business intelligence systems. Identify the requirements and develop custom charts accordingly. SQL querying for better results Skills Experience Required: Bachelors or Masters degree in Computer Science, Information Systems, or a related field Candidate must have minimum 5 years of hands-on experience on Power BI Desktop as well as Power BI Service. Must be proficient with DAX (Data Analysis Expressions). Be familiar with MS SQL Server BI Stack tools and technologies, such as SSRS and TSQL, Power Query, MDX, PowerBI, and DAX Should be well versed with Power Query. Should have knowledge of SQL (Structured Query Language). Should be good with Data Modelling, and ETL Operations Should have experience on MSBI (Microsoft Business Intelligence) Stack - SSIS: SQL Server Integration Services,SSAS: SQL Server Analysis Services, SSRS: SQL Server Reporting Services. Experience working with Azure (ADF, Synapse, AAS). Expertise in Power BI Service Management. Proficient in doing advanced-level computations on the data set Excellent communication skills are required to communicate needs with client and internal teams successfully Education: BE/B.Tech, MCA, MSC, M.Tech

Experience-8+ yearsLocation-HyderabadJob type-PermanentRole & responsibilities Lead Data Engineer to design, develop, and maintain data pipelines and ETL workflows for processing large-scale structured and unstructured data. The ideal candidate will have expertise in Azure Data Services (Azure Data Factory, Synapse, Databricks, SQL, SSIS, and Data Lake) along with big data processing, real-time analytics, and cloud data integration and Team Leading Experience. Key Responsibilities:1. Data Pipeline Development & ETL/ELT Design and build scalable data pipelines using Azure Data Factory, Synapse Pipelines ,Databricks, SSIS and ADF Connectors like Salesforce. Implement ETL/ELT workflows for structured and unstructured data processing. Optimize data ingestion, transformation, and storage strategies.2. Cloud Data Architecture & Integration Develop data integration solutions for ingesting data from multiple sources (APIs, databases, streaming data). Work with Azure Data Lake, Azure Blob Storage, and Delta Lake for data storage and processing.3. Database Management & Optimization Design and maintain cloud data bases (Azure Synapse, BigQuery, Cosmos DB). Optimize SQL queries and indexing strategies for performance. Implement data partitioning, compression, and caching for efficiency.4. Collaboration & Documentation Document data models, pipeline architectures, and data workflows.

Technical Skills Languages: C# Frameworks: .NET 8 Cloud: Azure(App Service, Key Vault, Application Gateway, Application Insights, etc.) Databases: SQL Server Tools: Azure Devop, SonarQube Unit Test : Xunit , nUnit Concepts: Microservices, OOPS, SOLID Principles, RESTful APIs, Security (OWASP Top 10) Requirements At least 7+ years of Experience with the .NET/C# technology stack. Experience creating and consuming REST based APIs using .NET 8. Design, develop, and maintain microservices using .NET8, SQL, REST, and EF Core Able to employ best practices for designing reusable code and scalability. Proficient in object-oriented design (OOD) using SOLID design principles and patterns. Experience in delivering high quality products on time while working in Agile Teams and following Agile methodologies. Unit testing with Xunit or nUnit Nice to haves Develop and maintain Azure services (e.g. App Services, Azure key vault, Azure Pipelines, Application Insights). Understanding of cloud computing technologies, business drivers, and emerging computing trends. Good understanding of CI/CD Experience with SQL Database with stored procedures. Responsibilities Work in Agile teams to deliver high quality products on time with performance and requirements in mind. Build, test and deliver high quality systems

Company Overview: Anblicks empowers businesses to become intelligent enterprises by leveraging cutting-edge data, AI & ML, and cloud technologies. Founded in 2004 and headquartered in Dallas, Texas, Anblicks transforms organizations into data-driven powerhouses equipped to excel in the digital age. With deep expertise in strategy, data engineering, AI/ML, and cloud services, Anblicks provides scalable solutions that streamline operations and transform customer experiences. The company collaborates closely with clients to overcome complex challenges and fully unlock the potential of their data Position Overview: We are seeking a skilled and experienced Data Engineer with 3-6 years of experience to join our dynamic team. The ideal candidate will have a strong background in data engineering, with a focus on problem-solving and effective communication. This role requires proficiency in core technical skills and project-specific tools, with a preference for candidates who have experience in AI, machine learning, and business intelligence. Key Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes. Collaborate with cross-functional teams to understand data requirements and deliver solutions. Optimize and manage data storage solutions in cloud environments. Implement and maintain data models to support business analytics and reporting. Ensure data quality and integrity through rigorous testing and validation. Utilize SQL, Python, and Spark to process and analyze large datasets. Work with Databricks, or other project-specific tools like Snaplogic or Talend. Required Qualifications: 4-6 years of experience in data engineering or a related field. Strong problem-solving skills and effective communication abilities. Proficiency in SQL, Python, Spark, and cloud technologies. Solid understanding of data modeling and ETL processes. Experience with Databricks, or other relevant tools. Preferred Qualifications: Knowledge of AI and machine learning techniques. Experience with business intelligence tools and practices.

Job Role: Front office Receptionist - Male candidate only Location : AhmedabadJob Summary: We are seeking a friendly, professional, and organized Receptionist to be the first point of contact for our company. The ideal candidate will handle front desk responsibilities, provide administrative support, and ensure smooth day-to-day operations. Key Responsibilities: Greeting and welcome visitors in a warm and professional manner Answer and direct phone calls efficiently Manage incoming and outgoing mail and deliveries Maintain a clean and organized reception area Schedule and manage appointments or meetings Oversee office boys and assign tasks as needed Ensure office cleanliness and tidiness is always maintained Assist with administrative tasks such as data entry, filing, and document preparation Handle inquiries and provide accurate information about the companys services Coordinate with different departments for smooth office operations Ensure security procedures are followed by monitoring visitor access Maintaining compliance and clearing ISO & SOC auditsEmployee engagement Event planning and execution

Role & responsibilities Role Objective:We are looking for a highly motivated and experienced Senior Power BI Engineer to join our team of data experts. The ideal candidate will have a strong background in designing, developing, and maintaining PowerBi Dashboards & reports. As a Power BI Engineer, you will work closely with the Lead Data Engineer and Data Architect to implement end-to-end data solutions, build, and maintain data pipelines, and ensure the quality and integrity of our organization's data.Roles & Responsibilities:Study, analyze and understand business requirements in context to business intelligence.Design and map data models to shift raw data into meaningful insights.Utilize Power BI to build interactive and visually appealing dashboards and reports.Spot key performance indicators with apt objectivesAnalyze pervious and present data for better decision makingTransform business requirements into technical publicationsBuild multi-dimensional ata modelsDevelop strong data documentation about algorithms, parameters, modelsPerform detailed analysis on tested and deployed Power BI scriptsRun DAX queries and functions in Power BIDefine and design new systemsTake care of data warehouse developmentBuilding Analysis Services reporting models.Developing visual reports, KPI scorecards, and dashboards using Power BI desktop.Connecting data sources, importing data, and transforming data for Business intelligence.Analytical thinking for translating data into informative reports and visuals.Capable of implementing row-level security on data along with an understanding of application security layer models in Power BI.Make essential technical and strategic changes to improvise present business intelligence systems.Identify the requirements and develop custom charts accordingly.SQL querying for better resultsSkills & Experience Required:Bachelor's or Master's degree in Computer Science, Information Systems, or a related fieldCandidate must have minimum 3 years of hands-on experience on Power BI Desktop as well as Power BI Service. Preferred candidate with PL-300 CertificationMust be proficient with DAX (Data Analysis Expressions).Be familiar with MS SQL Server BI Stack tools and technologies, such as SSRS and TSQL, Power Query, MDX, PowerBI, and DAXShould be well versed with Power Query.Should have knowledge of SQL (Structured Query Language).Should be good with Data Modelling, and ETL OperationsShould have experience on MSBI (Microsoft Business Intelligence) Stack - SSIS: SQL Server Integration Services, SSAS: SQL Server Analysis Services, SSRS: SQL Server Reporting Services.

Data Quality EngineerExp-5-8 yearsLocation-Hyderabad Summary: We are seeking a motivated and detail-oriented Data Quality Engineer to join our team and contribute to ensuring the accuracy, completeness, and reliability of our data. In this role, you will be responsible for implementing data quality checks, monitoring data quality, and identifying and resolving data quality issues. Experience with SODA (or similar data quality frameworks) is preferred. Responsibilities:Implement and maintain data quality checks and validations using various tools and techniques.Develop and execute data quality test plans and test cases.Automate data quality processes, including data profiling, data quality checks, and reporting.Contribute to the implementation and maintenance of data quality frameworks and tools.(Preferred) Utilize SODA (or similar frameworks) to define data quality checks, configure data sources, and generate data quality reports.Collaborate with data engineers, data analysts, and other stakeholders to ensure data quality requirements are met.Communicate data quality issues and findings to relevant stakeholders.Investigate and analyze data quality problems to determine root causes.

Role & responsibilities Greet and welcome visitors in a warm and professional manner Answer and direct phone calls efficiently Manage incoming and outgoing mail and deliveries Maintain a clean and organized reception area Schedule and manage appointments or meetings Oversee office boys and assign tasks as needed Ensure office cleanliness and tidiness is maintained at all times Assist with administrative tasks such as data entry, filing, and document preparation Handle inquiries and provide accurate information about the companys services Coordinate with different departments for smooth office operations Ensure security procedures are followed by monitoring visitor access Maintaining compliance and clearing ISO & SOC auditsEmployee engagement Event planning and execution

Job Role: Admin Location : AhmedabadNote : English communication is must Job Summary: We are seeking a friendly, professional, and organized Receptionist to be the first point of contact for our company. The ideal candidate will handle front desk responsibilities, provide administrative support, and ensure smooth day-to-day operations. Key Responsibilities: Greeting and welcome visitors in a warm and professional manner Answer and direct phone calls efficiently Manage incoming and outgoing mail and deliveries Maintain a clean and organized reception area Schedule and manage appointments or meetings Oversee office boys and assign tasks as needed Ensure office cleanliness and tidiness is always maintained Assist with administrative tasks such as data entry, filing, and document preparation Handle inquiries and provide accurate information about the companys services Coordinate with different departments for smooth office operations Ensure security procedures are followed by monitoring visitor access Maintaining compliance and clearing ISO & SOC auditsEmployee engagement Event planning and execution