Purpose of the Job:- As a Data Engineer, this position requires candidate who are enthusiastic about specialized skills in any DE tools like Python/Dataiku/Spark/SAS DI and features. As a member of the team, you will help our clients, by building data pipelines that supports to progress on their Data and Analytics journey. Must have:Experience on data engineering tools like Python/Dataiku/Spark/SAS data integrationCollate data from various data sources and implement business logic while loading into data mart layerMust have strong SQL experience and extract data from various databases and perform required analysis on dataShould have BI knowledge to understand the analytics needs of business usersCommunication with business users to understand the requirements. Able to convert the business requirements into technical requirementsUnderstanding of data modeling concepts, including relational and dimensional modeling.

Key Result Areas and Activities: Architect and Design Solutions: Current state assessment for prescribing a D&A modernization strategy and data-culture transformation roadmap. Architect and Design modern, high-performance, secure, self-service, adoption driven analytics solutions incorporating people, process, and technology levers. Review analytics solutions and processes for optimization and business value acceleration.Provide Advisory and Consulting Services Drive consulting engagements in areas of expertise across projects/accounts. Support pre-sales activities including engaging prospects, conducting workshops, developing point of views/solutions/scoping, writing proposals, engaging partners, and supporting sales and marketing enablement.Systematically Develop and Maintain Offerings Support offering development and lead its pilot implementation. Create implementation methodologies, processes, templates are defined, enhanced, and internalized for the prioritized solutions.Contribute to Organizational Strategy Provide thought leadership in the market, establish and run innovation labs, support GTM partnerships with channel partners, lead prioritized initiatives.Essential Skills:Should have good proficiency in SQL, DAX, Power BI Report builder, Power Query Editor & Power BI ServicesShould be able to design and implement data models to support reporting and analytics, including the creation of semantic models.Should be able to develop interactive and visually appealing reports and dashboardsStrong analytical and problem-solving skills, able to troubleshoot data discrepancy issuesShould be able to develop and maintain semantic models to ensure consistency and accuracy in reportingEnsure the performance optimization and scalability of Power BI solutions. Work closely with business stakeholders to understand their requirements and translate them into technical solutions, give recommendationsDesirable Skills:Able to lead a team of developers MicroStrategy to Power BI migration experienceExperience of working with AgileSnowflake experienceRequire minimal hand-holding and work independently.Should be accountable for the delivery quality ad timelines set for the teamQualifications:BE Degree in Computer Science, Computer Engineering, MIS or other technical disciplines.6-9 years industry relevant experience in Power BI development projects.Qualities:Proven ability to develop successful relationships with external and internal partnersExcellent oral and written communication skillsDemonstrated problem solving, multi-tasking, troubleshooting skills with a high degree of flexibilityDemonstrated self-leadership with the ability to work independently, lead team and manage conflictProven learning agility as data technologies and capabilities evolve rapidlyShould be able to provide technical support to other team members as required

As a Data Architect, you will be responsible for designing and optimizing complex Big Data solutions using AWS services, ensuring a balance between cost and performance. Responsibilities include assessing existing technology, performing impact assessments, optimizing designs, and documenting projects. The role involves effective communication of architectural decisions, conducting Proof-of-Concepts and design solutions, suggesting automation and providing expert advice. Location: Nagpur/Pune/Chennai/Bangalore Type of Employment: Full-time Key Result Areas and Activities: Technology Assessment and Impact Analysis : Evaluate existing technology and data integration frameworks, and conduct impact assessments based on requirements. Big Data Use Case Design: Create complex Big Data use cases using AWS services, focusing on cost, performance, and durability. Optimization and Performance: Recommend optimizations to balance cost and performance in existing designs. Architectural Communication and Proof-of-Concepts: Communicate architectural decisions to stakeholders, conduct Proof-of-Concepts, document findings, and lead design reviews. Process Improvement and Automation: Implement automation to improve processes and enhance team productivity, while providing expert advice, troubleshooting, and support for client proposals. Essential Skills: Experience of AWS services (S3,EC2, EMR, Athena, AWS Glue, Lambda) and AWS VPC, subnets, security groups, and route tables Expertise in MPP databases (AWS Redshift, Snowflake, SingleStore) and Data Warehousing concepts Proficient in Big Data technologies, specifically Apache Spark, and table formats like Delta Lake or Apache Iceberg Strong programming skills in Scala and Python, along with SQL proficiency and experience with orchestration tools like Apache Airflow Skilled in developing ETL workflows with complex transformations (SCD, deduplication, aggregation) Proficient in operating systems, including Linux and Windows Desirable Skills: Prior experience working in a large media company would be an added advantage. Knowledge of Data Fabric and Data Mesh concepts Programming Language: Java, Bash Cloud Databases: AWS Aurora Qualifications: Bachelors degree in computer science, engineering, or related field (Masters degree is a plus) Demonstrated continued learning through one or more technical certifications or related methods 9 years of IT experience with minimum 5 years of experience on cloud-related projects Qualities: Hold strong technical knowledge and experience with the capability to deep dive and research in various technical fields Self-motivated and focused on delivering outcomes for a fast-growing team and organization Able to communicate persuasively through written, verbal and client presentations Effective and self-organized in cross-functional team and across different time zones

To provide client with Senior AWS Administrator capacity to support their AWS landscape spread across multiple accounts and with annual multimillion $ spending. This position is part of Infocepts Cloud Ops support team, which is responsible for AWS administration, optimization & automation, & security. Location: Nagpur/Pune/Chennai/Bangalore Type of Employment: Full-time Key Result Areas and Activities: Deploy, manage, and operate AWS cloud environments Identify appropriate use of cloud operational best practices Good understanding of cloud automation for environment provisioning i.e. IaC tool knowledge (e.g. Terraform) Define and monitor the health/utilization of cloud resources Resource tagging to allocate costs and for carefully planning of budgeting, governance, and reporting Solving access issues related to role, policies and users Working on POC activities Should be able to create technical artefacts Essential Skills: Sound knowledge on cloud technologies, cloud services including the templates and CLI. Must have experience of CICD / DevOps tools (e.g. Gitlab, Jenkins) Experience of managing all aspects of the enterprise cloud environments, apply best practices, as well as assisting teams to leverage technologies and troubleshooting problems Experience in IaC tools like Terraform Experience in Monitoring patches, permissions, and repair deployments Experience in Creating policies for cloud computing systems Experience in Integrating cloud systems into current environments Experience in S3, IAM, SQS, SNS, ECS, EC2, ALB, VPC, NAT, NACL, Lambda and other AWS services Experience in Networking basics, security groups, vertical and horizontal scaling Knowledge on AWS monitoring tools CloudWatch, trusted adviser, cloud tail, cloud configuration Experience in cloud cost optimization & allocation Desirable Skills: Able to work in a self-organized and cross-functional team and able to lead a team of 5 resources Experience in Documenting systems infrastructure Experience in Evaluating and implementing new technologies Knowledge of ticketing tool e.g. ServiceNow Knowledge of Infra monitoring tool e.g. Datadog Knowledge of scripting language e.g. Python Qualifications: Bachelor s degree in computer science, engineering, or related field (Masters degree is a plus) At least 5 years of IT experience; minimum 3 years of experience on AWS Cloud Administration Demonstrated continued learning through one or more technical certifications or related methods Qualities: Self-motivated and focused on delivering outcomes for a fast-growing team and firm Able to communicate persuasively through speaking, writing, and client presentations Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Research focused mindset

You will be a critical member of the Infocepts Cloud Data Architect Team. This position requires a sound knowledge on Big Data using Cloud technologies, EMR, Athena, PySpark, S3, AWS Lambda etc. Strong foundation on database concepts and SQL is also required. Location: Nagpur/Pune/Chennai/Bangalore Type of Employment: Full-time Key Result Areas and Activities: Technology Assessment and Design: Study existing technology landscape and understand current data integration frameworks and do impact assessment for the requirements. Should be able to design complex Big Data use cases using AWS Services under guidance of Architect. Should be able to assist the architect in reasoning about various architecture choices in terms of cost, performance & durability. Should be able to suggest optimizations in existing designs. Ensure optimal balance between cost and performance. Documentation and Stakeholder Communication: Project documentation, adheres to quality guidelines & schedules. Works hand in hand with Architect & PM for successful delivery of project and provide estimation, scoping, scheduling assistance. Articulate design decisions very clearly with stakeholders. Perform Proof-of-Concepts and document all observations before proposing a new solution. Conduct design review sessions with other teams and identify scope of improvement. Process Improvement and Automation: Suggests automation to improve existing processes. Assist junior Data Engineers by providing expert advice or troubleshooting steps whenever required. Keep suggesting new ways to improve team productivity. Training and Knowledge Sharing: Create technology-focused training plans whenever required. Deliver technology-focused training sessions with team members whenever required. Conduct Expert Knowledge Sharing sessions with Client Stakeholders whenever required. Assist in designing case study documents whenever required. Essential Skills: In-depth knowledge of the following AWS services: S3, EC2, EMR, Athena, AWS Glue, Lambda Experience with at least one MPP database: AWS Redshift, Snowflake, SingleStore Proficiency in Big Data technologies: Apache Spark, Databricks Must have strong programming skills in Python Responsible for building data pipelines in AWS And Databricks Experience with Big Data table formats, such as Delta Lake (open source) Must have very strong SQL skills Experience with orchestration tools like Apache Airflow Expertise in developing ETL workflows with complex transformations such as SCD, deduplications, aggregations, etc. Should be a quick and self-learner, ready to adapt to new AWS services or Big Data technologies as required Strong understanding of data warehousing concepts Desirable Skills: Cloud Databases - Snowflake, AWS Aurora Big Data - Hadoop, Hive Cloud Databases- AWS Aurora Associate Level or Professional Level AWS Certification Qualifications: Overall, 7+ years of IT experience 5+ years of relevant experience in AWS related project Bachelors degree in computer science, engineering, or related field (Masters degree is a plus) Demonstrated continued learning through one or more technical certifications or related methods Qualities: Should have the capability to deep dive and research in various technical related fields Self-motivated and focused on delivering outcomes for a fast growing team and firm Able to communicate persuasively through speaking, writing, and client presentations Able to work in a self-organized and cross-functional team

This role seeks candidates who are passionate about data and motivated to address the organization?s analytics challenges. You will play a crucial role in assisting our clients on their data and analytics journey by building robust data pipelines, enhancing data consistency, and developing the necessary infrastructure to support their analytics platform. Location: Chennai/ Nagpur/ Pune/ Bangalore Type of Employment: Full time Key Result Areas and Activities: Technical Expertise : Develop and optimize ETL processes using Snowflake capabilities Develop and maintain advanced data models and ETL processes using DBT (Data Build Tool) Ensure efficient data transformation and integration within the data warehouse Collaboration : Work closely with data analysts, engineers, and stakeholders to understand business requirements and translate them into technical solutions Facilitate effective communication and collaboration across teams Quality Assurance : Implement and oversee data quality checks and testing procedures Ensure data accuracy, consistency, and compliance with governance policies Documentation and Reporting : Create and maintain comprehensive documentation for ETL processes, and project workflows Provide regular updates and reports on project progress and performance metrics Compliance and Security : Ensure all data engineering activities comply with data governance and security policies Implement measures to protect data integrity and confidentiality Essential Skills: Proficient in SQL, including CTE and database table design, with the ability to write efficient queries on large data sets Experienced in Snowflake or database experience, including SQL tuning Skilled in developing and optimizing ETL processes using Snowflake and other tools Familiar with DBT Core/DBT Cloud and fundamental data modeling concepts (3NF, Star, Snowflake) Experienced in data analysis and profiling tasks Qualifications: Overall work experience of more than 5 years with minimum of 2-3 years experience on Snowflake/ DBT Bachelor degree in computer science, engineering, or related field (master degree is a plus) Qualities: Influences and implements change with confidence and sound decisions Tackles problems head-on with a logical, systematic, and practical approach; follows up with developers Consults, writes, and presents persuasively Works effectively in self-organized, cross-functional teams

As a Senior Data Integration Developer/ Architect (DBT), this role seeks candidates passionate about specialized skills in Snowflake technology and features. You will be instrumental in assisting our clients by developing models that facilitate their advancement in utilizing Snowflake effectively. Location: Nagpur/Pune/Chennai/Bangalore Type of Employment: Full-time Key Result Areas and Activities: Expertise and Knowledge Sharing : Develop and share expertise in DBT & Snowflake Data Modelling and Development. Actively mine and disseminate organizational experience and expertise across teams and clients. Support and Collaboration : Support Cloud and Data Engineering COE initiatives. Collaborate with management to understand and align with company objectives. Real-Time Data and Performance : Ensure DBT solutions are correctly built for collecting real-time data. Perform and deliver effectively in large and complex environments. Pipeline and Architecture Design : Design, build, test, and maintain Snowflake architectures and data pipelines. Compliance and Security : Ensure compliance with data governance and security policies. Essential Skills: Expertise in Snowflake architecture, understanding of models, cloud platforms integration with snowflake ETL Development, SQL Scripting, working knowledge of stored procedures Proficiency in designing and maintaining data warehouses and data marts. Strong skills in ETL processes and tools (e.g., Informatica, Talend, Snaplogic) Experience working on Datawarehouse/ETL projects 4+ years of Snowflake ETL experience and 3+ DBT experience or equivalent Experience with cloud data platforms (e.g., AWS, Azure) Desirable Skills: Understanding of Finance/Pharma industry Good to have experience in migrating from on premise and other cloud databases to Snowflake Snowflake and other Cloud technologies certifications Qualifications: Overall work experience of more than 9 years with minimum of 3-4 years experience on Snowflake Development, 2 years of DBT Degree in Computer Science, Software Engineering, or a related field Qualities: Can influence and implement change; demonstrates confidence, strength of conviction and sound decisions Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work seamlessly with clients across multiple geographies Research focused mindset

The IT recruiter will be responsible for executing end-to-end recruitment processes to identify, attract, and onboard top talent. This role involves collaborating with hiring managers, developing sourcing strategies, mentoring junior recruiters, and ensuring a seamless candidate experience. Location: Nagpur/Pune/Chennai/Bangalore Type of Employment: Full-time Key Result Areas and Activities : Candidate Sourcing and Screening: Utilize multiple sourcing channels (job boards, social media, referrals) to attract IT professionals using LinkedIn, naukri, Indeed, etc. Screen resumes and conduct initial screening to assess technical skills and cultural fitment of candidates Talent Acquisition Strategy: Develop and implement effective recruitment strategies tailored to IT roles and business requirements Collaborate with hiring managers to understand the job requirements Prepare & share findings on the market intelligence, as per the requirements Process Management: Manage the entire recruitment lifecycle from job posting to offer acceptance and candidate onboarding Maintain accurate candidate records and track recruitment metrics to report on progress Adhere to established recruitment SLAs & job posting guidelines Stakeholder Management: Build and maintain strong relationships with candidates, ensuring a positive candidate experience Partner closely with hiring managers to understand their staffing needs and provide timely recruitment updates Essential Skills: 5+ years of relevant experience in IT recruitment preferable in Data and Analytics Proven experience in full-cycle recruitment for mid-to-senior-level roles Expertise in sourcing channels, including LinkedIn, job boards, employee referrals, and social media Strong relationship-building and negotiation skills Data-driven approach to measure and refine recruitment performance Ability to manage relationships with recruitment agencies, staffing vendors Strong communication, interpersonal, and stakeholder management skills Qualifications: Bachelor s degree in computer science, engineering, or related field/ master s degree in human resources At least 5 years of IT recruitment experience Qualities: Self-motivated and focused on delivering outcomes for a fast-growing team and firm Able to consult, write, and present persuasively Able to iterate based on new information, peer reviews, and feedback Able to work with teams and clients in different time zones

You will be a critical member of the Infocepts Cloud Data Administrator Team. This position requires a deep understanding of Amazon Redshift, database performance tuning, and optimization techniques. Strong foundation in database concepts, SQL, and experience with AWS services is essential. Location: Nagpur/Pune/Bangalore/Chennai Type of Employment: Full-time Key Result Areas and Activities: Design and Development: Design, implement, and manage Redshift clusters for high availability, performance, and security. Performance Optimization: Monitor and optimize database performance, including query tuning and resource management. Backup and Recovery: Develop and maintain database backup and recovery strategies. Security Enforcement: Implement and enforce database security policies and procedures. Cost-Performance Balance: Ensure an optimal balance between cost and performance. Collaboration with Development Teams: Work with development teams to design and optimize database schemas and queries. Perform database migrations, upgrades, and patching. Issue Resolution: Troubleshoot and resolve database-related issues, providing support to development and operations teams. Automate routine database tasks using scripting languages and tools. Continuous Learning: Stay updated with the latest Redshift features, best practices, and industry trends. Deliver technology-focused training sessions and conduct expert knowledge sharing with client stakeholders as needed. Documentation and Proposals: Assist in designing case study documents and collaborate with Centre of Excellence/Practice teams on proposals. Mentorship and Recruitment: Mentor and groom junior DBAs and participate in conducting interviews for the organization. Value-Added Improvements: Propose improvements to the existing database landscape. Product Team Collaboration: Collaborate effectively with product teams to ensure seamless integration and performance. Essential Skills: Strong understanding of database design, performance tuning, and optimization techniques Proficiency in SQL and experience with database scripting languages (e.g., Python, Shell) Experience with database backup and recovery, security, and high availability solutions Familiarity with AWS services and tools, including S3, EC2, IAM, and CloudWatch Operating System - Any flavor of Linux, Windows Desirable Skills: Knowledge of other database systems (e.g., Snowflake, SingleStore, PostgreSQL, MySQL) AWS Certified Database - Specialty or other relevant certifications Prior experience of working in a large media company would be added advantage Qualifications: Bachelor s degree in computer science, engineering, or related field (Master s degree is a plus) 7-10 years of experience as a Database Administrator, with at least 5 years of experience specifically with Amazon Redshift Demonstrated continued learning through one or more technical certifications or related methods Experience with data warehousing concepts and ETL processes Qualities: Should be a quick and self-learner and be ready to adapt to new technologies as and when required Should have the capability to deep dive and research in various technical related fields Able to communicate persuasively through speaking, writing, and client presentations Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback

Analytics Lifecycle Management: Work on end-to-end activities of analytics lifecycle. Create user stories based on business needs and objectives. Participate in discovery and data storytelling sessions with customers. Incorporate and propose best practices for design and development. Develop varying fidelity wireframes and mockups using PowerPoint or any other relevant tools. Design and Development: Develop prototypes/POCs for complex use cases. Design and develop semantic models for self-service and enterprise reporting. Develop rich, interactive, performant, secure reports and dashboards for desktop/mobile platforms. Testing and Support: Support data culture activities (data catalog, governance, and user adoption). Migrate semantic models/reports/dashboards from one BI platform to another. Develop test cases and perform Unit and Performance testing. Offer deployment and post-production support. Innovation and Automation: Estimate efforts for user stories and deliverables. Identify automation opportunities (CLI/API based) and propose innovation avenues. Work and Technical Expertise: Essential Skills: Ability to take ownership and drive end-to-end activities alone or as part of team in agile teams Analytical thinking for translating data into informative visuals and reports Deep experience with traditional/modern analytics. Understanding of data literacy, data catalogs, data culture is a plus Experience with writing and optimizing SQL queries is must Experience with formal dimensional modelling techniques, cloud native databases like Snowflake, Google Big Query is a big plus Experience in deployment & integration which includes setting up configuration management, developing components, peer reviews Desirable Skills: Knowledge of monitoring tools, auditing, and administration Knowledge of incorporating data privacy and security solutions in the implementation Knowledge of visual design, data storytelling, dashboard design techniques Qualifications: Bachelor s degree in computer science, engineering, or related field (Master s degree is a plus) Demonstrated continued learning through one or more technical certifications or related methods 7+ years of total IT experience 5+ years of experience on any of these BI Tools (MSTR / Tableau / Power BI / Qlik / Domo / SSRS) Qualities: Ability to think strategically and align discussions with broader business objectives Actively mentor and coach junior team members, helping them develop their skills and grow professionally and foster a collaborative learning environment Stay up-to-date with industry trends and demonstrate thought leadership Promote best practices, identify areas for optimization and drive initiatives to enhance processes, efficiency and quality Able to work with teams and clients in different time zone

ETL/ELT Solutions Development : Design, develop, and deploy ETL/ELT solutions both on-premise and in the cloud. Data Transformation : Perform data transformation using stored procedures to ensure data is accurately processed and formatted. Report Development : Develop comprehensive reports using tools like MicroStrategy and Power BI to support business decision-making. Documentation and Data Management : Create and maintain detailed documentation for data pipelines, configurations, and processes, ensuring data quality and integrity through effective management practices. Performance Monitoring and Issue Resolution : Monitor and optimize the performance of data pipelines, and troubleshoot and resolve any data-related issues promptly. Essential Skills: Good experience in Talend Suit (Talend Data Integration, Talend Cloud). Good experience in Snowflake & Stored Procedures. Experience with ETL/ELT processes, data warehousing, and data modelling. Experience with data quality frameworks, monitoring tools, and job scheduling. Knowledge of data formats like JSON, XML, CSV, and Parquet. Agile methodology & tools like JIRA. Desirable Skills: Good experience in MicroStrategy and PowerBI. Experience in scripting languages such as Python, Java, or Shell scripting. Familiarity with cloud platforms (AWS, Google Cloud, Azure) and cloud data services. Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field. 6+ years of experience in Talend. Qualities: Able to consult, write, and present persuasively. Able to work in a self-organized and cross-functional team. Able to iterate based on new information, peer reviews, and feedback. Able to work seamlessly with clients across multiple geographies. Research focused mindset.

This position will play a primary role in planning, implementing, leading, and executing all aspects of QA automation l ead the effort to build new test frameworks and or extend existing frameworks to perform end-to-end testing. Key Result Areas and Activities: Work with cross-functional teams (Project Manager, Developers, QA) by providing technical support and help in test automation Help investigate, evaluate, select, and integrate best available framework/tool solutions as required for test automation success Helps and designs test automation framework based on past experience and demand of current project Monitors, enhances, improves automation activities as per demand of project Collaborates with team in mentoring and training team members for automation Designs, develops, maintains, and troubleshoots automated suites of tests through continuous integration for value-added feedback if required Customer engagement as required Work and Technical Expertise: Strong QA concepts and QA lifecycle understanding Experience in Automation Testing on Data, ETL and BI landscape Experience in either BI reporting testing (MSTR/Qlik/Tableau, etc.) or in ETL/Data testing Must have experience with Test processes, open-source test frameworks, test design strategies, writing test cases, and automating tests using automated testing tools like Selenium, Katalon, etc. Experience in design and development of Test Frameworks Experience in any scripting language (Core Java, Python, JavaScript) and user-level test automation Experience in CI/CD tools like Jenkins Running Governances like regular status reporting, Triage meetings, etc. Strong requirement assessment skills Good SQL knowhow Knowledge of Agile and Scrum methodologies, Jira tool knowledge preferable Good to have exposure with any one of the Cloud technologies (Azure, AWS, Google) Good to have experience in any Performance testing tool like Jmeter Qualifications: Bachelor s degree in computer science, Information Technology, or a related field Atleast 5 years of IT experience Qualities: Excellent verbal and written communication Collaboration skills to work in a self-organized and cross-functional teams Strong troubleshooting and problem-solving abilities Excellent analytical, presentation, reporting, documentation, and interactive skills

To improve trust on critical data domains such as customer, supplier, product by building master data assets which contain accurate, complete and consistent information about these entities.. Design solutions to consolidate and streamline data from multiple source systems into a standard format to provide the needed single view of business entities. Key Result Areas and Activities: Advance Master Data Management Capabilities ? Advance the foundational capabilities in Master Data Governance technology choices at Infocepts specifically Profisee and Informatica. Proactively analyze market trends, drive innovations and technology evaluations, engage teams and customers to determine top challenges. Lead key engagements to co-create and support successful delivery of Infocepts solutions. Architect and Design Solutions ? Architect and Design modern Master Data Management solutions for critical data domains such as customer, supplier, product. Create implementation methodologies, processes, templates are defined, enhanced, and internalized for the prioritized solutions. Drive Advisory and Consulting Services ? Drive and execute consulting engagements in Master Data Management for Infocepts clients. Focus on fit for purpose MDM technology evaluation, architectural patterns (analytical or operational) aligned with client?s business objectives and provide a roadmap for reaching the desired state. Provide Advisory, Sales, and Marketing Support ? Support pre-sales activities including engaging prospects, conducting workshops, developing point of views/solutions/scoping, writing proposals, engaging partners, and supporting sales and marketing enablement. Build Capacity and Develop Talent for the Competency Center ? Coach and mentor talent, manage flex and matrixed resources in the competency center. Anchor architects who are associated with Master Data Management. Leverage CoPs (Community of Practitioners) to support research and expertise sharing.??????? Contribute to Organizational Strategy ? Provide thought leadership in the market, establish and run innovation labs, support GTM partnerships with channel partners, lead prioritized initiatives. Essential Skills: Strong knowledge of data modelling principles, SQL and data integration techniques Strong knowledge of MDM concepts such as match/merge, survivorship, hierarchy management, data governance workflow, data quality, and data stewardship Ability to perform data profiling, data modeling, identify and map the data sets associated with the business use cases outlining meta data, and definitions associated with those elements required by the business to be under master data management Well versed with MDM Architectural patterns including operational and analytical MDMs Experience in synchronous as well as asynchronous integration of master data with various source and downstream applications Desirable Skills: Hands-on experience with Profisee tools and utilities such as Data Controls, Data Director and Data Quality Consultative Skills Prior experience with a data stewardship program Prior experience with other MDM platforms or cloud-based MDM solutions is advantageous Professional Certifications on MDM Developer and Architect roles are desirable Qualifications : 12+ years of experiences in Master Data Management advisory and implementation for one or more data domains Bachelors Engineering Degree in Computer Science, Information Systems or other related scientific or technical discipline Qualities: Excellent problem-solving and analytical skills to troubleshoot MDM-related issues Good presentation and technical writing skills Self-motivated and focused on delivering outcomes for a fast-growing team and organization Able to communicate persuasively through written, verbal and client presentations Effective and self-organized in cross-functional team and across different time zones

Architect and Design Solutions - Current state assessment for prescribing a D&A modernization strategy and data-culture transformation roadmap. Architect and Design modern, high-performance, secure, self-service, adoption driven analytics solutions incorporating people, process, and technology levers. Review analytics solutions and processes for optimization and business value acceleration. Provide Advisory and Consulting Services - Drive consulting engagements in areas of expertise across projects/accounts. Support pre-sales activities including engaging prospects, conducting workshops, developing point of views/solutions/scoping, writing proposals, engaging partners, and supporting sales and marketing enablement. Systematically Develop and Maintain Offerings - Support offering development and lead its pilot implementation. Create implementation methodologies, processes, templates are defined, enhanced, and internalized for the prioritized solutions. Identify and Exploit New Technologies for New and Existing Accounts - Establish and drive COEs (Centre of Excellence) to further the technical and functional capabilities in the core solutions, platforms. Proactively maintain market trends, drive innovations and technology evaluations, engage teams and customers to determine top challenges. Lead key engagements to co-create and support successful delivery of InfoCepts solutions. Build Capacity and Develop Talent for the Competency Center - Coach and mentor talent, manage flex and matrixed resources in the competency center. Anchor and mentor architects who are associated with ADM (Analytics & Data Management). Run CoPs (Community of Practitioners) to support research and expertise sharing. Contribute to Organizational Strategy - Provide thought leadership in the market, establish and run innovation labs, support GTM partnerships with channel partners, lead prioritized initiatives. Work and Technical Expertise: Essential Skills: Experience in providing analytics solutions while maintaining balance between architecture requirements, effort estimations and customer specific needs Executed consulting engagements for customer such as BI architecture assessment, BI Roadmap advisory Expertise in multiple analytics platforms such as MSTR / Tableau / Power BI / Qlik / ThoughtSpot / Domo / SSRS Experience in developing reusable artifacts/frameworks, re-usable assets, industry solutions, reference architecture, etc. Desirable Skills: Expertise in leading learning and capability development initiatives at scale Experience in establishing and leading communities, interest groups and center of excellence Well-versed with the latest trends in analytics, business intelligence and data visualization Qualifications: Bachelors degree in computer science, engineering, or related field (masters degree is a plus) Demonstrated continued learning through one or more relevant certifications or related methods At least 9 years of relevant experience; two years may be substituted for a masters degree Qualities: Self-motivated and focused on delivering outcomes for a fast growing team and firm Able to communicate persuasively through speaking, writing, and client presentations Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work with teams and clients in different time zones Research focused mindset

ITIL Processes and Tech Modernization: Objectively support the setup of ITIL-driven processes and tech modernization initiatives while adhering to governance standards and reducing costs through automation. Focus on lowering costs by identifying and implementing automation opportunities and leveraging modern technologies. Promote and support democratization of technology to enable broader access and utilization across the organization. BI Platform Architecture and Setup: Design reference BI platform architecture blueprints for both on-premises and cloud deployments to ensure a robust and scalable setup. Install and configure BI platforms on-premises or on cloud IaaS/PaaS/SaaS environments, coordinating with relevant cloud teams to provision necessary resources and capacities. Establish security controls for interactive and service usage, including monitoring and delegated administration to safeguard the environment. Monitoring, Maintenance, and Support: Use built-in tools, custom reports, and external agents to monitor usage, performance, and resource utilization of the BI platform. Perform regular health checks and audits, providing health and sizing recommendations to ensure optimal performance. Offer priority support during outages, planned deployments, and maintenance. Troubleshoot issues, conduct root cause analysis, and provide recommendations to prevent future problems. Automation and Documentation: Identify opportunities for automating manual tasks and develop scripts using CLI/APIs. Explore DevOps practices such as containerization and automated access approvals through ticketing integrations. Perform regular backups, simulate restores, and conduct disaster recovery (DR) exercises to ensure compliance and data protection. Maintain comprehensive documentation of configurations, standard operating procedures (SOPs), issues and root cause analyses (RCAs), and critical observations and recommendations. Work and Technical Expertise: Essential Skills: Proficient in Linux including shell scripting and various system/networking/security commands Basic hands on on cloud platform infrastructure components like EC2, VPC, Load Balancers in AWS and/or VMs, Containers, Virtual Networks in Azure Desirable Skills: Knowledge on Web Servers like IIS and Tomcat Knowledge on RDBMS and SQL skills Knowledge of enterprise technologies - Active Directory, SAML, SSO, DNS, Load balancer, etc. Qualifications: Bachelor s degree in computer science, engineering, or related field (Master s degree is a plus) Demonstrated continued learning through one or more technical certifications or related methods At least 7 years of IT experience; relevant 5 years of experience on Business Intelligence/Analytics Platform Administration Qualities: Self-motivated and focused on delivering outcomes for a fast growing team and firm Able to communicate persuasively through speaking, writing, and client presentations Able to consult, write, and present persuasively Able to work in a self-organized and cross-functional team Able to iterate based on new information, peer reviews, and feedback Able to work with teams and clients in different time zones

The candidate will work with the project team, team leaders, project delivery leads, and client stakeholders to create the right solutions based on business needs. The candidate will define components of SAP Convergent Mediation (CM). The successful candidate will design and develop interfaces for applications to collect data using design methodologies and tool-sets, developing software (JavaScript) in CM, and conducting tests. Key Result Areas and Activities: System Analysis and Design - Conduct thorough system analysis to understand business requirements and design effective solutions. Develop and maintain system architecture documentation. Ensure system scalability, performance, and reliability. Implementation and Integration - Lead the implementation of SAP Convergent Mediation solutions, ensuring seamless integration with other SAP BRIM components. Provide technical support and troubleshooting for SAP Convergent Mediation issues. Consultative Skills and Business Knowledge - Utilize consultative skills to understand client needs and provide tailored solutions. Apply business knowledge to optimize technology integration and achieve desired business outcomes. Functional Expertise in BRIM - Demonstrate functional expertise in BRIM process areas, including Subscription Order Management, Convergent Mediation, Convergent Charging, Convergent Invoicing, FI-CA, and Customer Financial Management. Essential Skills: 1+ year(s) with SAP Convergent Mediation (CM) 3+ years of functional/technical proficiency with at least 2 full lifecycle SAP implementations 4+ years of experience in developing and maintaining highly scalable and resilient systems in SaaS business models 1+ year of experience in SAP BRIM or Hybris Billing, including components like Subscription Billing, Subscription Order Management (SOM), Convergent Mediation (CM), Convergent Charging (CC), Convergent Invoicing (CI), or contract accounting (FICA). Desirable Skills: Experience with the SAP S/4HANA Subscription Order Management module is a plus Experience with SAP CRM Subscription Order Management module is an acceptable substitute Experience with data migration between Hyperion and SAP SAC systems Familiarity with industry best practices in financial planning and analytics Qualifications: Bachelors degree in computer science, engineering, or related field (Masters degree is a plus) Demonstrated continued learning through one or more technical certifications or related methods Qualities: Excellent analytical and problem-solving skills, with a focus on driving financial planning accuracy and operational efficiency. Strong communication skills, with the ability to collaborate effectively across finance, IT, and business teams Able to work in a self-organized and cross-functional team Able to work with teams and clients in different time zones Ability to handle complex data scenarios and ensure seamless data movement Take ownership of data delivery processes, ensuring timely and accurate data access for end users

This role is to help our end clients build sustainable reporting, analytic and data solutions to meet business needs, create business value and drive outcomes. Solutions will be designed, developed, and implemented utilizing enterprise technologies including MicroStrategy with underlying databases including MS SQL server, SSIS etc. Key Result Areas and Activities: Stakeholder Collaboration and Technical Design - Interact with Architects, Lead Engineers, and business area teams to build detailed technical design documents and meet business needs for complex projects, considering capabilities, risks, and system dependencies Full Lifecycle Reporting and Analytic Solutions - Accountable for the design, build, test and deployment of full lifecycle Reporting and Analytic solutions Project Planning and Estimation - Work with the lead Architect to create a work breakdown structure and project estimates to meet client needs for critical project delivery Development Best Practices and Strategic Roadmap - Champion efforts to ensure appropriate development best practices and assist with strategy and roadmap development Work and Technical Experience: Essential Skills: Good technical skills with thorough understanding of Data Warehouse Concepts & MSTR Architecture Has strong experience on creating Schema and reporting objects, is able to work independently with business stakeholders to transform requirements into technical requirements Strong experience in MicroStrategy development, including the design and implementation of RSD?s & Dashboards, Dossiers Proficient in writing SQL, Good experience on MicroStrategy. Any other BI tool exposure is good to have Understanding of business intelligence, data warehousing, data modelling, architectures, and terminology Desireable Skills: Working knowledge of MicroStrategy report performance tuning and optimization techniques Proven experience in Software Development Life Cycle (SDLC) / Agile development to plan and organize work activities for team execution Proven analytical skills with the ability to understand key business processes and related issues Domain knowledge in Legal industry Qualifications : BS Degree in Computer Science, Computer Engineering, MIS or other technical disciplines 4+ years of hands-on experience of BI tools, primarily on MicroStrategy Qualities: Proven ability to develop successful relationships with external and internal partners Excellent oral and written communication skills Demonstrated problem solving, multi-tasking, troubleshooting skills with a high degree of flexibility Demonstrated self-leadership with the ability to work independently and manage conflict Proven learning agility as data technologies and capabilities evolve rapidly Is able to provide technical support to other team members as required

Purpose of the Position: As a Talend Data Engineer you will be responsible for designing, implementing, and managing scalable data pipelines. Location: Mumbai Type of Employment: Full-time Key Result Areas and Activities: ETL/ELT Solutions Development : Design, develop, and deploy ETL/ELT solutions both on-premise and in the cloud. Data Transformation : Perform data transformation using stored procedures to ensure data is accurately processed and formatted. Report Development : Develop comprehensive reports using tools like MicroStrategy and Power BI to support business decision-making. Documentation and Data Management : Create and maintain detailed documentation for data pipelines, configurations, and processes, ensuring data quality and integrity through effective management practices. Performance Monitoring and Issue Resolution : Monitor and optimize the performance of data pipelines, and troubleshoot and resolve any data-related issues promptly. Essential Skills: Good experience in Talend Suit (Talend Data Integration, Talend Cloud, etc.) Good experience in Snowflake & Stored Procedures Experience with ETL/ELT processes, data warehousing, and data modelling Experience with data quality frameworks, monitoring tools, and job scheduling Knowledge of data formats like JSON, XML, CSV, and Parquet. Agile methodology & tools like JIRA Desirable Skills: Good experience in MicroStrategy and PowerBI Experience in scripting languages such as Python, Java, or Shell scripting Familiarity with cloud platforms (AWS, Google Cloud, Azure) and cloud data services Qualifications: Bachelors or Masters degree in Computer Science, Engineering, or a related field 6+ years of experience in Talend Qualities: Experience with or knowledge of Agile Software Development methodologies Can influence and implement change; demonstrates confidence, strength of conviction and sound decisions

Position: Senior Data Scientist Location: Chennai/Bangalore/Pune/Nagpur Type of Employment: Full time Purpose of the Position: The Machine Learning Engineer will design, develop, and implement machine learning models and algorithms to solve complex business problems. This role involves working closely with data scientists, software engineers, and business stakeholders to deploy scalable and efficient machine learning solutions that drive innovation and improve business outcomes. Key Result Areas and Activities: Model Development and Optimization: Develop, train, and optimize machine learning models to meet business objectives. Ensure models are accurate, efficient, and scalable. Data Pipeline and Infrastructure: Design and maintain robust data pipelines and infrastructure to support machine learning workflows. Ensure data quality and integrity throughout the data lifecycle. Deployment and Monitoring: Deploy machine learning models into production environments. Monitor model performance and implement improvements as needed. Collaboration and Communication: Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. Communicate complex technical concepts to non-technical stakeholders. Research and Innovation: Stay updated with the latest advancements in machine learning and artificial intelligence. Experiment with new techniques and technologies to enhance the organizations machine learning capabilities. Essential Skills : Machine Learning Frameworks: Experience in ML Frameworks - TensorFlow, PyTorch, Scikit-learn Programming Languages: Strong skills in Python R Data Processing: Experience in data processing tools like Pandas, NumPy, Spark Model Deployment: Experience in Docker, Kubernetes, MLflow, FastAPI Should have strong experience in data bases like Snowflake, MongoDB, Cosmo DB Statistical Analysis: Strong foundation in statistics and probability. Establish Model Management, Model Monitoring, Support and Maintenance frameworks Setup ML lifecycle process and governance policies Provide L0 Support (Monitoring jobs/processes, triaging and fixing operational issues), L1 Support (Minor changes to the code/framework), and some aspects of L2 support (Significant changes to the code/framework) Desired Skills: Deep Learning: Familiarity with deep learning frameworks like TensorFlow or PyTorch. Natural Language Processing (NLP): Understanding of NLP techniques and applications. Cloud Computing: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Big Data Technologies: Knowledge of big data technologies like Hive, Pig, or Cassandra. Software Engineering: Skills in software development and version control systems like Git. Qualifications: Education: Masters degree or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience: Over 5 years of experience in machine learning, with a proven track record of developing and deploying models. Certifications: Relevant certifications in machine learning or data science are a plus. Qualities: Analytical Thinking: Strong analytical and problem-solving skills. Communication: Excellent verbal and written communication skills. Team Player: Ability to work effectively in a collaborative team environment. Adaptability: Flexibility to adapt to changing business needs and technologies. Innovation: A proactive approach to exploring new ideas and technologies.

Position : Lead Data Scientist Location: Nagpur/Pune/Chennai/Bengaluru Type of Employment: Fulltime Purpose of the Position: The Senior Data Scientist will lead the development and implementation of advanced data analytics and machine learning models to drive strategic decision-making and innovation. This role involves collaborating with cross-functional teams to identify business opportunities, optimize processes, and deliver actionable insights that enhance business performance and customer experience. Key Result Areas and Activities: Model Development and Deployment: Develop, validate, and deploy advanced machine learning models to solve complex business problems. Ensure models are scalable, efficient, and maintainable. Data Strategy and Management: Lead the design and implementation of data strategies, including data collection, storage, and processing. Ensure data quality, integrity, and security across all data sources and systems. Business Insights and Decision Support: Translate data findings into actionable business insights and recommendations. Collaborate with stakeholders to drive data-driven decision-making and strategic initiatives. Team Leadership and Development: Mentor and guide junior data scientists, fostering a culture of continuous learning and innovation. Lead cross-functional teams in data science projects, ensuring timely and successful delivery. Innovation and Continuous Improvement: Stay updated with the latest advancements in data science and machine learning. Proactively explore and implement new technologies and methodologies to enhance data analytics capabilities. Essential Skills: Advanced Statistical Analysis: Proficiency in statistical methods and tools for data analysis. Machine Learning: Expertise in developing, deploying, and optimizing supervised and unsupervised machine learning models and Gen AI Data bases: Experience in Snowflake, Mongo DB Cosmos DB Programming Languages: Strong skills in Python, R, and SQL. Tools: Experience on Jupiter Notebook, GIT etc. Big Data Technologies: Experience with Hadoop, Spark, or other big data frameworks. Data Engineering: Knowledge of data warehousing, ETL processes, and data pipeline development. Desirable Skills: Deep Learning: Familiarity with neural networks and frameworks like TensorFlow or PyTorch. Cloud Computing: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Data Visualization: Ability to create compelling visualizations using tools like Streamlit, Tableau, Power BI, or similar. Natural Language Processing (NLP): Understanding of NLP techniques and applications. Business Acumen: Ability to translate complex data insights into business strategies. Project Management: Skills in managing data science projects from conception to deployment. Qualifications: Education: Ph.D. or Masters degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. Experience: Over 10 years of experience in data science, with a proven track record of leading complex projects and teams. Certifications: Relevant certifications in data science, machine learning, or big data technologies are a plus. Qualities: Leadership: Strong leadership skills with the ability to mentor and guide junior data scientists. Problem-Solving: Exceptional analytical and problem-solving abilities. Communication: Excellent verbal and written communication skills to convey complex information clearly. Collaboration: Ability to work effectively in a team-oriented environment. Innovation: A proactive approach to exploring new technologies and methodologies. Business Understanding: Should be able to understand the business problem and build the DS use cases for retail clients

Position: Data Engineer- AWS Database Location: Nagpur/Pune/Chennai/Bangalore Type of Employment: Full-time Purpose of the Position: We are seeking a highly skilled Data Engineer to join our engineering team. As a Data Engineer, you will be responsible for building and maintaining scalable, reliable, and high-performance platform infrastructure. Your role will focus on automating infrastructure, ensuring platform stability, optimizing performance, and supporting a cloud-native environment. Key Result Areas and Activities: Platform maintenance and updation: Maintain and update client AI platform configurations, services, and components to ensure smooth operations and timely updates Performance optimization and integration: Optimize platform performance and efficiency through code and infrastructure improvements. Integrate with third-party applications to enhance platform capabilities. Automated Deployment and Monitoring: Implement and manage automated deployment pipelines to streamline application releases. Monitor platform systems and troubleshoot issues to ensure high availability and performance. Cross-Functional Collaboration and Support: Work closely with cross-functional teams to support platform-related requirements and initiatives. Ensure platform security and compliance with industry standards and best practices. Continuous Enhancement and Innovation: Continuously enhance platform features and capabilities through innovation and adoption of modern technologies. Essential Skills: Experience managing cloud infrastructure on AWS Proven expertise in automation tools Strong background in Linux/Unix systems administration and troubleshooting Familiarity with continuous integration/continuous deployment (CI/CD) practices Desirable Skills: Familiarity with DevOps practices and tools Ability to understand and interpret data, along with a solid grasp of machine learning concepts and algorithm Qualifications: 5+ years of experience as a Platform Engineer, DevOps Engineer, or in a similar role Bachelors degree or higher in Computer Science, Engineering, Mathematics, Statistics, or a related field. Advanced degree preferred Qualities: Excellent analytical, problem-solving, and decision-making skills Strong communication and interpersonal skills, with the ability to influence and collaborate with stakeholders at all levels Ability to think strategically while maintaining attention to detail Ability to work in a fast-paced, dynamic environment and manage multiple priorities effectively