Develop user interfaces and user experiences using front-end technologies such as HTML, CSS, JavaScript, and popular libraries and frameworks (e.g., React, Angular, or Vue.js). Ensure responsive design for a seamless experience on various devices and screen sizes. Design, develop, and maintain server-side applications, APIs, and databases using programming languages like Python, Ruby, Java, or JavaScript (Node.js). Manage and optimize database systems (e.g., SQL or NoSQL databases) to ensure data integrity and performance. Deploy and manage web applications on various server environments, including cloud platforms (e.g., AWS, Azure, or Google Cloud) and on-premises servers. Monitor server performance, security, and scalability. Implement security best practices to protect web applications from vulnerabilities and threats, such as cross-site scripting (XSS), SQL injection, and data breaches. Secure data storage and transmission through encryption and authentication mechanisms. Collaborate with other team members (e.g., UI/UX designers, back-end developers, and QA engineers) to ensure the seamless integration of front-end and back-end components. Write unit tests and conduct end-to-end testing to identify and fix issues and bugs. Debug and optimize application performance for better user experience. Create clear and comprehensive documentation for code, APIs, and system architecture. Keep documentation up to date for the benefit of other team members and future maintenance. Qualifications: Bachelors degree in Computer Science, Software Engineering, or a related field. Proven experience as a Full Stack Developer or similar role. Proficiency in front-end and back-end technologies, including HTML, CSS, JavaScript, and popular frameworks, as well as server-side scripting and database management. Knowledge of web security practices. Strong problem-solving and communication skills. Ability to work in a team and collaborate effectively.

Job Title: Senior Java Engineer Location: Mumbai / PuneJob Type: Full-time Experience: 4-12yearsAbout the Role: We are looking for an experienced Senior Java Engineer to join our development team. You will be responsible for designing, developing, and maintaining scalable, high-performance Java applications. This role requires collaboration with cross-functional teams and a focus on delivering quality solutions. Responsibilities: • Design, develop, and maintain Java-based applications with a focus on scalability and performance. • Collaborate with teams to define and implement new features. • Perform unit testing, integration testing, and code reviews. • Troubleshoot issues and optimize application performance. • Mentor junior engineers and contribute to technical discussions. • Continuously improve software architecture and development processes. Qualifications: • Bachelors degree in Computer Science or related field. • 4+ years of hands-on Java development experience. • Strong knowledge of Java 8+ and OOP principles. • Experience with Spring, Hibernate, and building RESTful APIs. • Familiarity with databases like MySQL, PostgreSQL, or NoSQL. • Experience in Agile development methodologies.

Job Description As a Senior Data Consultant, you will serve as a trusted advisor and subject matter expert, using data to drive actionable business insights. In this role, you will not only lead client engagements and deliver high-quality data solutions but also work closely with our sales teams to create accelerators, architectural artifacts, and pre-sales assets for RFPs. Role Summary Lead strategic data consulting projects and work directly with clients to design and implement data-driven solutions. Develop and maintain a library of accelerators, frameworks, and artifacts that support sales proposals and RFP responses. Collaborate with cross-functional teams to ensure successful client delivery and seamless handoffs between sales and project implementation. Key Skills / Technologies Must-Have: Data Analytics Visualization (Tableau, Power BI, etc.) Advanced SQL and data querying skills Strong statistical and analytical expertise Experience in data integration, cleansing, and modeling Excellent communication and stakeholder management skills Good-to-Have: Familiarity with programming languages (Python, R) for advanced analytics Knowledge of data warehousing and big data platforms Experience in a consulting or client-facing role Familiarity with data governance and business intelligence frameworks Responsibilities Client Consulting Delivery: Lead data analysis projects and work directly with clients to define requirements and deliver actionable insights. Design data models and visualizations that support strategic decision-making across multiple business areas. Advise clients on best practices for data management and analytics to optimize their business processes. Sales Pre-Sales Support: Create accelerators, consulting frameworks, and architectural artifacts that can be used in RFP responses and sales proposals. Support the sales team by participating in client presentations, technical workshops, and pre-sales engagements. Provide expert insights and technical recommendations that bridge the gap between client needs and technology solutions. Collaboration Mentoring: Work closely with technical teams, sales, and delivery teams to ensure cohesive strategies and smooth client handoffs. Mentor junior consultants and share best practices in data analysis and consulting methodologies. Required Qualifications Bachelor s or Master s degree in Data Science, Business Analytics, Statistics, or a related field. 5+ years of experience in data consulting or analytics roles, with significant client-facing responsibilities. Demonstrated ability to develop data-driven solutions that positively impact business performance. Excellent problem-solving and communication skills, with experience supporting both sales and client delivery. Why Join Us Be at the forefront of transforming businesses through data by working on diverse, high-impact projects. Play a dual role in driving sales success and ensuring high-quality client delivery. Collaborate with a passionate team of experts and enjoy continuous professional growth in a dynamic environment with competitive benefits.

Job Description: At Go Digital Technology Consulting LLP (GDTC), we are redefining the future of data consulting and services. Our expertise spans Data Engineering, Analytics, and Data Science, enabling us to craft cutting-edge cloud data solutions tailored to our clients unique needs. Specializing in AWS, Azure, and Snowflake, we empower organizations to harness the full potential of their data, transforming it into actionable insights that drive impact. Our team is a dynamic mix of technologists, product managers, thinkers, and architects, unified by the vision to deliver exceptional value. By blending technological expertise with a deep understanding of business needs, we create solutions that not only meet expectations but set new industry benchmarks. Join us on a transformative journey where your skills and vision will directly shape the future of cloud data architecture. Role Summary: As a Cloud Data Architect , you will play a pivotal role in designing and implementing scalable, high-performance cloud-native data architectures. You will lead the architecture of complex, large-scale data environments while fostering innovation and delivering robust solutions that drive business value. Key Technologies / Skills: Mastery of SQL, Python, PySpark, and Shell scripting. Expertise in data modeling and big data ecosystems (e.g., Hadoop, Hive) and ETL pipelines. Deep understanding of cloud-native data solutions across AWS, Azure, or GCP, with experience in Snowflake. Strong knowledge of modern data architectures, including serverless computing, data lakes, and analytics solutions. Responsibilities: Design and implement innovative cloud-native data architectures, translating business needs into scalable and sustainable solutions. Lead technology selection, ensuring alignment with client needs and organizational standards. Develop comprehensive high-level design documents and frameworks to guide project execution. Architect and optimize ETL pipelines, ensuring efficient data ingestion, transformation, and storage in the cloud. Champion best practices for data governance, security, and compliance in cloud environments. Conduct performance tuning and optimization of cloud-based data platforms. Collaborate with stakeholders to align architectural solutions with business objectives. Support pre-sales efforts by providing technical insights and creating compelling proposals. Mentor and coach technical leads, enabling their growth into future data architects. Stay ahead of emerging technologies and trends, driving continuous innovation in data engineering and architecture. Required Qualifications: 10+ years of experience in data engineering and architecture, with a focus on cloud hyperscalers (AWS, Azure, GCP). Proven expertise in cloud-native data solutions, including Snowflake and modern data lake architectures. Advanced proficiency in Python, PySpark, and SQL, with experience in NoSQL databases. Extensive experience with data warehousing, ETL pipelines, and big data ecosystems. Strong knowledge of ITIL service management practices and design processes. Demonstrated leadership and collaboration skills, with the ability to engage diverse stakeholders. A bachelor s or master s degree in Computer Science, Engineering, or a related field. Why Join Us: Be part of a forward-thinking organization that values innovation, collaboration, and excellence. Work on pioneering projects using state-of-the-art technologies in cloud data engineering. Enjoy competitive compensation, comprehensive benefits, and flexible work arrangements. Thrive in an environment that encourages personal growth and career advancement. As a Cloud Data Architect at GDTC, your expertise will shape the future of data solutions, empowering clients to unlock the full potential of their data. Together, let s build a smarter, data-driven world.

We are seeking an experienced and highly skilled Senior GIS Developer to join our team. The ideal candidate will be well-versed in ESRI products and have over 5 years of experience in GIS development. This role will focus on creating and implementing advanced GIS solutions for our projects in the clean/green energy and utility sectors, including virtual power plants and data strategy initiatives. Key Responsibilities: Design, develop, and maintain GIS applications using ESRI products such as ArcGIS, ArcGIS Online, and ArcGIS Server. Develop custom geospatial solutions and tools using Python, JavaScript, and other relevant programming languages. Integrate GIS applications with other data systems and technologies to support comprehensive data analysis and visualization. Perform spatial data analysis and create high-quality maps, reports, and dashboards to support decision-making processes. Work closely with cross-functional teams to gather requirements, define project scope, and deliver GIS solutions that meet business needs. Provide technical guidance and mentorship to junior GIS developers and analysts. Stay updated with the latest advancements in GIS technology and best practices, and incorporate them into projects. Ensure the quality, accuracy, and integrity of spatial data and GIS applications. Qualifications: Bachelors degree in Computer Science, Engineering, or a related field. 5+ years of professional experience in GIS development, with a strong focus on ESRI products. Proficiency in programming languages such as Python, JavaScript, and SQL. Experience with web GIS development using ESRI Web AppBuilder, ArcGIS API for JavaScript, or similar frameworks. Strong understanding of spatial data management, geoprocessing, and spatialanalysis techniques. Experience with database systems such as PostgreSQL/PostGIS, SQL Server, or Oracle. Excellent problem-solving skills and attention to detail. Strong communication and teamwork skills. Passion for clean/green energy and sustainability. Preferred Qualifications: Masters degree in a related field. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with open-source GIS tools and libraries. Knowledge of the energy sector, particularly in areas such as renewable energy, utilities, or virtual power plants. What We Offer: A dynamic and collaborative work environment with opportunities for growth and development. Exposure to cutting-edge technologies and innovative projects in the energy sector. Mentorship and training from experienced professionals. Competitive salary and benefits package.

Create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet functional / non-functional business requirements. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Responsible for performing data analytics and present meaningful recommendations and insights for all other teams both on-shore and off-shore. Skills Required: Basic understanding of the Big data tools: Hadoop, Spark, Kafka, etc. Excellent understanding of T-SQL programming and Microsoft SQL Server or any other similar tools. Demonstrated knowledge of large, relational databases and data structures. Analytical and problem-solving skills to identify defects or inconsistencies. Understanding of ETL concepts. Communication and presentation skills with demonstrated ability to converse with all levels of staff and management

1.AWS Infrastructure Setup with the help Terraform Enterprise and Concourse (CI/CD) Pipeline 2.Setting up tools and required infrastructure 3.Encouraging and building automated processes wherever possible 4.Configuration and managing understanding of databases such as PostgreSQL, DynamoDB, Glue 5.Working knowledge of various tools, open-source technologies, and cloud services 6.Troubleshooting techniques and fixing the code bugs 7.Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline) 8.Incidence management and root cause analysis of different cloud (AWS) issues Requirements and skills: 1.M. Sc in Computer Science, Computer Engineering or relevant field 2.Work experience as a DevOps Engineer or AWS Cloud Engineer 3.Working experience on Terraform and Terraform Enterprise. 4.Working experience on AWS based infrastructure 5.Excellent knowledge AWS Services 6.Understanding of Python, PySpark and Agile Methodology 7.Working experience of databases and PostgreSQL, DynamoDB, Glue etc.

Role- AWS DevOps Engineer Location: Mumbai, India Experience: 4-8 Years Role Overview- We are seeking a skilled AWS DevOps Engineer with 4-8 years of experience to join our team in Mumbai. The ideal candidate will have a strong background in DevOps practices, extensive experience with Terraform, and proficiency in managing AWS infrastructure. You will play a pivotal role in designing, implementing, and managing robust and scalable cloud solutions while ensuring seamless CI/CD processes and infrastructure automation. Key Responsibilities Design, deploy, and manage scalable, secure, and highly available AWS environments. Automate infrastructure provisioning, configuration, and deployment using Terraform. Implement and optimize CI/CD pipelines to support efficient code deployment processes. Collaborate with development teams to ensure seamless integration of DevOps practices. Monitor system performance, troubleshoot issues, and ensure high uptime. Manage and optimize AWS services, including EC2, S3, RDS, Lambda, CloudFormation, and more. Implement security best practices in cloud infrastructure and applications. Develop scripts and tools to enhance automation processes (e.g., Bash, Python). Leverage Infrastructure as Code (IaC) principles to manage cloud resources. Work closely with cross-functional teams to align infrastructure with application requirements. Maintain clear documentation of system architecture, workflows, and procedures. Key Skills and Qualifications Strong hands-on experience with AWS cloud services. Proficiency in Terraform for Infrastructure as Code (IaC). Sound knowledge of DevOps tools and technologies like Jenkins, Git, Docker, and Kubernetes. Experience with CI/CD pipeline creation and management. Scripting experience (e.g., Python, Shell, or Bash). Experience: 4-8 years of relevant experience in DevOps, AWS cloud management, and infrastructure automation. Demonstrated ability to troubleshoot and resolve complex system issues. Excellent communication and teamwork skills. Ability to handle multiple tasks and prioritize effectively in a fast-paced environment. A proactive attitude toward learning and problem-solving. Preferred Qualifications AWS certifications (e.g., AWS Certified DevOps Engineer, Solutions Architect). Experience with monitoring tools like Prometheus, Grafana, or CloudWatch. Exposure to container orchestration tools like Kubernetes or ECS. Why Join Us Be part of a dynamic team working on cutting-edge technologies. Opportunity to enhance your technical skills in a supportive environment. Competitive salary and benefits. Hybrid working model based in Mumbai. Application Process: If you are passionate about cloud technologies and DevOps practices, and you thrive in challenging environments, we would love to hear from you. Apply Now!

We are seeking a highly skilled Mobile Developer with a minimum of 3 years of experience to join our team. As a Mobile Developer, you will be responsible for developing and maintaining mobile applications using Angular 14+ and the Ionic Mobile Framework. You will also be involved in deploying these apps to the Apple and Android app stores. Additionally, its crucial to note that the mobile app youll be working on also runs as a webapp, so experience in web development is a plus. Responsibilities: 1. Develop and maintain mobile applications using Angular 14+ and the Ionic Mobile Framework. 2. Design and implement user-friendly interfaces for mobile apps. 3. Collaborate with cross-functional teams to define, design, and ship new features. 4. Ensure the performance, quality, and responsiveness of mobile applications. 5. Identify and correct bottlenecks and fix bugs. 6. Help maintain code quality, organization, and automation. Requirements: 1. Minimum of 3 years of experience as a Mobile Developer. 2. Strong experience with Angular 14+ and the Ionic Mobile Framework. 3. Proficiency in deploying mobile apps to the Apple App Store and Google Play Store. 4. Familiarity with web technologies such as HTML5, CSS3, and JavaScript. 5. Experience with responsive design principles and mobile-first development. 6. Knowledge of RESTful APIs and asynchronous programming. 7. Ability to work in a fast-paced environment. 8. Excellent communication and teamwork skills. 9. Bachelor s degree in computer science or a related field (preferred).

We are seeking a Sr. Data Scientist/ Sr. Machine Learning Engineer with experience in Computer Vision to join our team. You will be responsible for building and maintaining models including but not limited to Vision Transformer neural networks. This role involves collaborating with data engineers and backend developers to deliver quality AI solutions. Responsibilities : Design and implement end-to-end machine learning workflows for image and computer vision applications, from data collection to model deployment. Collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to define and prioritize machine learning initiatives. Document technical designs and model specifications, ensuring clarity and accessibility for stakeholders and team members. Ensure adherence to best practices in model development, deployment, and monitoring, in alignment with the overall AI strategy. Monitor model performance and implement strategies for continuous improvement and retraining as needed. Develop scalable and efficient deep learning models using PyTorch, optimizing for performance and resource utilization. Qualifications : Bachelor s degree in Computer Science or a related field. 4-7 years of hands-on experience in developing and deploying machine learning models, particularly in computer vision tasks. Proficient in using PyTorch for developing deep learning models, with a strong understanding of CNNs, transfer learning, vision transformers, and data augmentation techniques. Solid understanding of computer vision concepts, including image classification, object detection, and image segmentation. Strong programming skills in Python, with experience in data manipulation libraries such as NumPy and Pandas. Experience with version control systems like Git. Excellent analytical and problem-solving skills, strong communication abilities, and a collaborative mindset. Preferred Qualifications : Experience with cloud platforms (e.g., AWS, GCP, Azure) and their ML services, particularly those related to model deployment and GPU training. Understanding of MLOps principles and practices, including model monitoring, versioning, and governance. Knowledge of GPU computing and tools for managing GPU resources (e.g., CUDA, cuDNN).

We are looking for a skilled Manual Automation Tester to join our QA team. You will be responsible for testing Angular 14+ applications, ensuring they meet high-quality standards through both manual and automated testing. The ideal candidate has experience with front-end testing tools, strong attention to detail, and a solid understanding of Angular applications. Responsibilities : Design, develop, and execute test cases for Angular 14+ applications. Perform both manual and automated testing to ensure application functionality and performance. Identify, document, and track software defects and issues. Work closely with developers and other QA team members to resolve issues. Develop and maintain automation scripts for regression and functional testing. Ensure test coverage by writing and executing test cases for new and existing features. Continuously improve testing strategies and processes. Qualifications : Bachelor s degree in Computer Science, Engineering, or a related field. 3+ years of experience in software testing, including both manual and automation testing. Strong experience in testing Angular applications (Angular 14+ preferred). Proficiency in automation tools such as Selenium, Protractor, or Cypress. Familiarity with version control systems (e.g., Git). Strong analytical skills and attention to detail. Understanding of Agile methodologies and testing within Agile frameworks.

Job Description: We are seeking a seasoned Senior Data Quality Engineer with expertise in designing and implementing robust data quality solutions for enterprise data systems. This is a development-focused role requiring a deep understanding of data engineering, data governance, and data cataloging. As a Senior Data Quality Engineer, you will be responsible for ensuring the accuracy, consistency, and reliability of data across platforms, empowering business teams with trusted insights. Key Responsibilities: Data Quality Frameworks and Implementation: Design, implement, and maintain data quality frameworks, standards, and best practices. Develop workflows for data profiling, validation, and cleansing to enhance data accuracy, consistency, and completeness. Leverage tools and technologies to automate data quality checks and streamline processes. Data Engineering for Quality Assurance: Collaborate with data engineering teams to design and implement ETL pipelines that embed data quality validations. Write efficient Python and SQL scripts for data quality checks and monitoring. Utilize data warehousing expertise to ensure robust data storage and access standards. Data Governance and Cataloging: Define and enforce data governance principles, policies, and quality rules. Implement and manage data cataloging tools to ensure data discoverability, lineage, and metadata management. Collaborate with stakeholders to establish data stewardship and ownership protocols. Collaboration and Issue Resolution: Work with cross-functional teams, including data scientists, analysts, and business users, to align data quality requirements with business needs. Investigate and resolve data anomalies, ensuring prompt resolution of quality issues. Provide technical guidance on best practices for data quality and governance. Monitoring and Reporting: Establish and monitor data quality metrics and KPIs to track improvements and identify potential issues. Deliver insights and recommendations through dashboards and reports, fostering a culture of data excellence. Required Skills Qualifications: Technical Proficiency: Advanced expertise in Python and SQL for data manipulation, quality checks, and automation. Strong knowledge of data warehousing concepts, ETL processes, and data pipelines. Hands-on experience with data quality tools such as Informatica Data Quality (IDQ) , Ataccama , Trifacta , or similar platforms. Familiarity with data governance frameworks, metadata management, and cataloging tools (e.g., Alation , Collibra , or similar). Cloud and Big Data Knowledge: Experience with cloud platforms such as AWS , Azure , or GCP is preferred. Exposure to tools like Databricks , Snowflake , or BigQuery is an added advantage. Analytical and Problem-Solving Skills: Ability to troubleshoot data inconsistencies and anomalies using an analytical and systematic approach. Communication and Collaboration: Strong verbal and written communication skills to interact with technical and non-technical stakeholders. Demonstrated ability to work in cross-functional teams to achieve data quality objectives. Educational Qualifications: Bachelor s or Master s degree in Computer Science, Data Science, Information Technology, or a related field. Preferred Qualifications: Certifications in data quality tools, data governance, or cloud platforms. Familiarity with machine learning or AI-powered data quality solutions is a plus. Previous experience in a data-driven, fast-paced organization. Why Join Us Work on cutting-edge data technologies and frameworks. Collaborate with a team of experts in an innovative and supportive environment. Competitive salary, comprehensive benefits, and opportunities for career growth. Be part of an organization that values data integrity and fosters a culture of excellence. As a Senior Data Quality Engineer , your contributions will directly impact the integrity and reliability of our data ecosystem, empowering data-driven decision-making across the organization. Join us in driving excellence in data quality and governance!

Job Summary: We are seeking an experienced Advanced Distribution Management System (ADMS) Engineer to support ADMS solutions for electric utility operations. The ideal candidate should have in-depth knowledge of power distribution systems, OMS (Outage Management Systems), DMS (Distribution Management Systems), DERMS (Distributed Energy Resource Management Systems) and related utility automation technologies. This role involves close collaboration with utility operators and IT teams to ensure optimal system performance and integration with other enterprise applications. Key Responsibilities: ADMS Implementation Support: Lead the configuration, deployment, and testing of ADMS solutions, including OMS and DMS. Work with stakeholders to define functional requirements, workflows, and system configurations based on utility needs. Ensure seamless integration of ADMS with GIS, AMI, EMS, DERMS, and other enterprise systems. Grid Analytic: Analyze system performance using real-time and historical grid data, identifying trends and operational improvements. DER Integration Grid Modernization: Support DERMS functionalities within ADMS for solar, wind, battery storage, and demand response programs.Develop and execute test plans for new ADMS functionalities and upgrades. Provide user training and support for system operators, engineers, and field personnel. Maintain detailed documentation of configurations, processes, and system changes. Compliance Cybersecurity: Ensure compliance with NERC CIP, IEEE, IEC, and other relevant industry standards. Work with IT and security teams to implement cybersecurity best practices for ADMS infrastructure. Qualifications Skills: Education Experience: Bachelor s or masters degree in electrical engineering, Power Systems, Computer Science, or a related field. 5+ years of experience in ADMS, SCADA, OMS, DMS, or related utility automation systems. Experience with utility grid operations, protection systems, and network modeling. Technical Skills: Strong knowledge of ADMS platforms such as GE Grid Solutions, Schneider Electric, Siemens Spectrum, Survalent, OSI, or equivalent. Familiarity with GIS, AMI, DERMS, EMS, and asset management systems is an add on. Proficiency in SQL, Python, or scripting languages for data analysis and automation is desired. Soft Skills: Strong problem-solving and analytical skills. Ability to work collaboratively in a cross-functional team environment. Excellent verbal and written communication skills. Ability to handle multiple projects and deadlines effectively.

Role: Senior Data ConsultantExperience: 5+yrsLocation: Mumbai & PuneAs a Senior Data Consultant, you will serve as a trusted advisor and subject matter expert, using data to drive actionable business insights. In this role, you will not only lead client engagements and deliver high-quality data solutions but also work closely with our sales teams to create accelerators, architectural artifacts, and pre-sales assets for RFPs. Role Summary Lead strategic data consulting projects and work directly with clients to design and implement data-driven solutions. Develop and maintain a library of accelerators, frameworks, and artifacts that support sales proposals and RFP responses. Collaborate with cross-functional teams to ensure successful client delivery and seamless handoffs between sales and project implementation. Key Skills / Technologies Must-Have: Data Analytics & Visualization (Tableau, Power BI, etc.) Advanced SQL and data querying skills Strong statistical and analytical expertise Experience in data integration, cleansing, and modeling Excellent communication and stakeholder management skills Good-to-Have: Familiarity with programming languages (Python, R) for advanced analytics Knowledge of data warehousing and big data platforms Experience in a consulting or client-facing role Familiarity with data governance and business intelligence frameworks Responsibilities Client Consulting & Delivery: Lead data analysis projects and work directly with clients to define requirements and deliver actionable insights. Design data models and visualizations that support strategic decision-making across multiple business areas. Advise clients on best practices for data management and analytics to optimize their business processes. Sales & Pre-Sales Support: Create accelerators, consulting frameworks, and architectural artifacts that can be used in RFP responses and sales proposals. Support the sales team by participating in client presentations, technical workshops, and presales engagements. Provide expert insights and technical recommendations that bridge the gap between client needs and technology solutions. Collaboration & Mentoring: Work closely with technical teams, sales, and delivery teams to ensure cohesive strategies and smooth client handoffs. Mentor junior consultants and share best practices in data analysis and consulting methodologies. Required Qualifications Bachelors or Masters degree in Data Science, Business Analytics, Statistics, or a related field. 5+ years of experience in data consulting or analytics roles, with significant client-facing responsibilities. Demonstrated ability to develop data-driven solutions that positively impact business performance. Excellent problem-solving and communication skills, with experience supporting both sales and client delivery. Why Join Us Be at the forefront of transforming businesses through data by working on diverse, high-impact projects. Play a dual role in driving sales success and ensuring high-quality client delivery. Collaborate with a passionate team of experts and enjoy continuous professional growth in a dynamic environment with competitive benefits.

Job Title: Sr. Data Scientist Location: Mumbai / PuneJob Type: Full-time Experience: 4-7 years About the Role: We are seeking a Sr. Data Scientist with experience in Computer Vision to join our team. You will be responsible for building and maintaining models including but not limited to Vision Transformer neural networks. This role involves collaborating with data engineers and backend developers to deliver quality AI solutions. Responsibilities: Design and implement end-to-end machine learning workflows for image and computer vision applications, from data collection to model deployment. Collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to define and prioritize machine learning initiatives. Document technical designs and model specifications, ensuring clarity and accessibility for stakeholders and team members. Ensure adherence to best practices in model development, deployment, and monitoring, in alignment with the overall AI strategy. Monitor model performance and implement strategies for continuous improvement and retraining as needed. Develop scalable and efficient deep learning models using PyTorch, optimizing for performance and resource utilization. Qualifications: Bachelors degree in Computer Science or a related field. 4-7 years of hands-on experience in developing and deploying machine learning models, particularly in computer vision tasks. Proficient in using PyTorch for developing deep learning models, with a strong understanding of CNNs, transfer learning, vision transformers, and data augmentation techniques. Solid understanding of computer vision concepts, including image classification, object detection, and image segmentation. Strong programming skills in Python, with experience in data manipulation libraries such as NumPy and Pandas. Experience with version control systems like Git. Excellent analytical and problem-solving skills, strong communication abilities, and a collaborative mindset. Preferred Qualifications: Experience with cloud platforms (e.g., AWS, GCP, Azure) and their ML services, particularly those related to model deployment and GPU training. Understanding of MLOps principles and practices, including model monitoring, versioning, and governance. Knowledge of GPU computing and tools for managing GPU resources (e.g., CUDA, cuDNN).

Job Title: Senior Java Engineer Location: Mumbai / PuneJob Type: Full-time Experience: 4-12yearsAbout the Role: We are looking for an experienced Senior Java Engineer to join our development team. You will be responsible for designing, developing, and maintaining scalable, high-performance Java applications. This role requires collaboration with cross-functional teams and a focus on delivering quality solutions. Responsibilities: • Design, develop, and maintain Java-based applications with a focus on scalability and performance. • Collaborate with teams to define and implement new features. • Perform unit testing, integration testing, and code reviews. • Troubleshoot issues and optimize application performance. • Mentor junior engineers and contribute to technical discussions. • Continuously improve software architecture and development processes. Qualifications: • Bachelors degree in Computer Science or related field. • 4+ years of hands-on Java development experience. • Strong knowledge of Java 8+ and OOP principles. • Experience with Spring, Hibernate, and building RESTful APIs. • Familiarity with databases like MySQL, PostgreSQL, or NoSQL. • Experience in Agile development methodologies.

Role: Senior Data Engineer Location: Mumbai & PuneExperience: 3yrs to 8yrs Technologies / Skills: Advanced SQL, Python and associated libraries like Pandas, NumPy etc., Pyspark , Shell scripting, Data-Modelling, Big data, Hadoop, Hive, ETL pipelines. Responsibilities: • Proven success in communicating with users, other technical teams, andsenior management to collect requirements, describe data modeling decisions and develop dataengineering strategy. • Ability to work with business owners to define key business requirements and convert to user stories with required technical specifications. • Communicate results and business impacts of insight initiatives to key stakeholders tocollaboratively solve business problems. • Working closely with the overall Enterprise Data & Analytics Architect and Engineering practice leads to ensure adherence with the best practices and design principles. • Assures quality, security and compliance requirements are met for supported area. • Design and create fault-tolerance data pipelines running on cluster • Excellent communication skills with the ability to influence client business and IT teams • Should have design data engineering solutions end to end. Ability to come up with scalable andmodular solutions. Required Qualification: • 3+ years of hands-on experience Designing and developing Data Pipelines for Data Ingestion orTransformation using Python (PySpark)/Spark SQL in AWS cloud • Experience in design and development of data pipelines and processing of data at scale. • Advanced experience in writing and optimizing efficient SQL queries with Python and Hive handling Large Data Sets in Big-Data Environments • Experience in debugging, tunning and optimizing PySpark data pipelines • Should have implemented concepts and have good knowledge of Pyspark data frames, joins,caching, memory management, partitioning, parallelism etc. • Understanding of Spark UI, Event Timelines, DAG, Spark config parameters, in order to tune thelong running data pipelines. • Experience working in Agile implementations • Experience with building data pipelines in streaming and batch mode. • Experience with Git and CI/CD pipelines to deploy cloud applications • Good knowledge of designing Hive tables with partitioning for performance. Desired Qualification: • Experience in data modelling. • Hands on creating workflows on any Scheduling Tool like Autosys, CA Workload Automation.• Proficiency in using SDKsfor interacting with native AWS services. • Strong understanding of concepts of ETL, ELT and data modeling.

Job Title: Manual & Automation Tester (Angular 14+)Location: Mumbai / PuneJob Type: Full-timeExperience: 3+ yearsAbout the Role: We are looking for a skilled Manual & Automation Tester to join our QA team. You will be responsible for testing Angular 14+ applications, ensuring they meet high-quality standards through both manual and automated testing. The ideal candidate has experience with front-end testing tools, strong attention to detail, and a solid understanding of Angular applications.Responsibilities:Design, develop, and execute test cases for Angular 14+ applications.Perform both manual and automated testing to ensure application functionality and performance.Identify, document, and track software defects and issues.Work closely with developers and other QA team members to resolve issues.Develop and maintain automation scripts for regression and functional testing.Ensure test coverage by writing and executing test cases for new and existing features.Continuously improve testing strategies and processes.Qualifications:Bachelors degree in Computer Science, Engineering, or a related field.3+ years of experience in software testing, including both manual and automation testing.Strong experience in testing Angular applications (Angular 14+ preferred).Proficiency in automation tools such as Selenium, Protractor, or Cypress.Familiarity with version control systems (e.g., Git).Strong analytical skills and attention to detail.Understanding of Agile methodologies and testing within Agile frameworks.

Role: Cloud Data ArchitectExperience: 5+yrsLocation: Mumbai.As a Cloud Data Architect, you will design, implement, and evangelize scalable, secure data architectures in a cloud environment. In addition to driving technical excellence in client delivery, you will collaborate with our sales and pre-sales teams to develop reusable assets, accelerators, and artifacts that support RFP responses and help win new business. Role Summary • Architect, design, and deploy end-to-end cloud data solutions while also serving as a technical advisor in sales engagements. • Create accelerators, solution blueprints, and artifacts that can be leveraged for client proposals and RFP responses. • Collaborate across multiple teams to ensure seamless integration of technical solutions with client delivery and business goals. Key Skills / Technologies • Must-Have: o Cloud Platforms (AWS, Azure, or Google Cloud) o Data Warehousing & Data Lakes (Redshift, BigQuery, Snowflake, etc.) o Big Data Technologies (Hadoop, Spark, Kafka) o SQL & NoSQL databases o ETL/ELT tools and pipelines o Data Modeling & Architecture design • Good-to-Have: o Infrastructure-as-Code (Terraform, CloudFormation) o Containerization & orchestration (Docker, Kubernetes) o Programming languages (Python, Java, Scala) o Data Governance and Security best practices Responsibilities • Technical Architecture & Delivery: o Design and build cloud-based data platforms, including data lakes, data warehouses, and real-time data pipelines. o Ensure data quality, consistency, and security across all systems. o Work closely with cross-functional teams to integrate diverse data sources into a cohesive architecture. • Sales & Pre-Sales Support: o Develop technical assets, accelerators, and reference architectures that support RFP responses and sales proposals. o Collaborate with sales teams to articulate technical solutions and demonstrate value to prospective clients. o Present technical roadmaps and participate in client meetings to support business development efforts. • Cross-Functional Collaboration: o Serve as a liaison between technical delivery teams and sales teams, ensuring alignment of strategies and seamless client hand-offs. o Mentor team members and lead technical discussions on architecture best practices. Required Qualifications • Bachelors or Masters degree in Computer Science, Information Systems, or a related field. • 5+ years of experience in data architecture/design within cloud environments, with a track record of supporting pre-sales initiatives. • Proven experience with cloud data platforms and big data technologies. • Strong analytical, problem-solving, and communication skills. Why Join Us • Influence both our technical roadmap and sales strategy by shaping cuttingedge, cloud-first data solutions. • Work with a dynamic, multi-disciplinary team and gain exposure to high-profile client engagements. • Enjoy a culture of innovation, professional growth, and collaboration with competitive compensation and benefits.

Role- AWS DevOps Engineer Location: Mumbai, India Experience: 4-8 Years Role Overview- We are seeking a skilled AWS DevOps Engineer with 4-8 years of experience to join our team in Mumbai. The ideal candidate will have a strong background in DevOps practices, extensive experience with Terraform, and proficiency in managing AWS infrastructure. You will play a pivotal role in designing, implementing, and managing robust and scalable cloud solutions while ensuring seamless CI/CD processes and infrastructure automation. Key Responsibilities- • Design, deploy, and manage scalable, secure, and highly available AWS environments. • Automate infrastructure provisioning, configuration, and deployment using Terraform. • Implement and optimize CI/CD pipelines to support efficient code deployment processes. • Collaborate with development teams to ensure seamless integration of DevOps practices. • Monitor system performance, troubleshoot issues, and ensure high uptime. • Manage and optimize AWS services, including EC2, S3, RDS, Lambda, CloudFormation, and more. • Implement security best practices in cloud infrastructure and applications. • Develop scripts and tools to enhance automation processes (e.g., Bash, Python). • Leverage Infrastructure as Code (IaC) principles to manage cloud resources. • Work closely with cross-functional teams to align infrastructure with application requirements. • Maintain clear documentation of system architecture, workflows, and procedures. Key Skills and Qualifications- • Strong hands-on experience with AWS cloud services. • Proficiency in Terraform for Infrastructure as Code (IaC). • Sound knowledge of DevOps tools and technologies like Jenkins, Git, Docker, and Kubernetes. • Experience with CI/CD pipeline creation and management. • Scripting experience (e.g., Python, Shell, or Bash). Experience- • 4-8 years of relevant experience in DevOps, AWS cloud management, and infrastructure automation. • Demonstrated ability to troubleshoot and resolve complex system issues. • Excellent communication and teamwork skills. • Ability to handle multiple tasks and prioritize effectively in a fast-paced environment. • A proactive attitude toward learning and problem-solving. Preferred. Qualifications- • AWS certifications (e.g., AWS Certified DevOps Engineer, Solutions Architect). • Experience with monitoring tools like Prometheus, Grafana, or CloudWatch. • Exposure to container orchestration tools like Kubernetes or ECS. Why Join Us? • Be part of a dynamic team working on cutting-edge technologies. • Opportunity to enhance your technical skills in a supportive environment. • Competitive salary and benefits. • Hybrid working model based in Mumbai. Application Process- If you are passionate about cloud technologies and DevOps practices, and you thrive in challenging environments, we would love to hear from you. Apply Now!

Role: Senior Software EngineerLocation: Lower Parel, MumbaiExperience: 3+ yearsKey responsibilities:1. Technical Leadership:a. Lead a team of 5-10 software engineers, providing technical guidance and mentorship.b. Drive technical excellence and best practices within the development team.c. Collaborating with architects and other teams leads to ensure consistency and alignment with overall technical strategy.2. Software Development:a. Design, develop, test, and maintain high-quality software solutions using .NET technologies.b. Work closely with product managers, designers, and other stakeholders to understand requirements and deliver solutions that meet business needs.c. Ensure code quality, performance, and scalability of applications.3. Problem Solving:a. Demonstrate strong problem-solving skills to address complex technical challenges.b. Investigate and resolve issues reported in production and provide timely solutions.4. Team Management:a. Manage and mentor a team of software engineers, providing regular feedback and performance evaluations.b. Foster a collaborative and innovative team culture.5. Emergency Response:a. Be part of the team responsible for responding to and mitigating IT emergencies, such as system outages or security incidents.6. Quick Learnera. Should be quick to pick up new skills and comprehend new technologies when needed. Should be able to adjust to new design patterns.It's important to note that these responsibilities can be adjusted based on the organization's specific requirements and the size and scope of its IT infrastructure.Mandatory Skills:1. Extensive front-end development experience, particularly in Angular or similar JavaScript frameworks.2. Specialized in writing, optimizing, and debugging complex SQL queries for efficient data retrieval and manipulation.3. Proven leadership and management experience, leading teams of software engineers.4. Strong problem-solving and analytical skills.5. Excellent communication and interpersonal skills.6. Ability to thrive in a fast-paced and dynamic work environment.7. Should understand firewall, VPC, Azure Identity.8. Should have excellent understanding of SQL Server and be able to work on designing/optimizing complex queries.Technological Skills.NET, C#, Web APIs, WCF Services, Console App, Angular, Typescript, Desing Patterns, OOPS, Azure Build and Release Pipelines, Logic Apps, Hangfire, Function Apps, App service, SQL Server

Job Title: Functional Data Analyst - Electrical Domain Location: Mumbai Experience: 4-8 years Job Summary: We are seeking a highly analytical and detail-oriented Functional Data Analyst with a strong background in Electrical Engineering and expertise in the Electric Domain . The ideal candidate will have experience working with power systems, grid infrastructure, or electrical distribution networks and will be responsible for leveraging data analytics to drive operational efficiency and decision-making. Key Responsibilities: Analyze and interpret electrical system data, including power distribution, grid performance, and asset utilization. Work closely with business and technical teams to define data requirements and ensure accurate data collection. Develop dashboards, reports, and visualizations to support business intelligence and decision-making. Identify patterns, anomalies, and insights from large datasets related to power grids, electrical assets, and energy consumption. Collaborate with engineers and stakeholders to optimize electrical operations through data-driven strategies. Ensure data quality, validation, and consistency across multiple sources. Utilize statistical models, machine learning techniques, and analytical tools to predict electrical system failures and inefficiencies. Support regulatory compliance and reporting requirements using data analytics. Required Skills & Qualifications: Bachelor s/Master s degree in Electrical Engineering, Power Systems, or a related field . Proven experience in data analysis within the electrical or power sector . Proficiency in SQL, Python, or other data analysis tools. Hands-on experience with BI tools (Power BI, Tableau, or similar). Knowledge of electrical grid operations, SCADA, smart meters, and energy management systems. Strong understanding of statistical methods and predictive analytics. Excellent problem-solving skills and the ability to translate technical data into business insights. Strong communication and stakeholder management skills. Why Join Us Opportunity to work in a high-growth, technology-driven environment . Contribute to cutting-edge projects in the electric power industry . Competitive salary, benefits, and career growth opportunities. If you are passionate about data analytics and the electrical domain , we encourage you to apply!

Location : Mumbai Experience : 4yrsto 8yrs Technologies / Skills: Advanced SQL, Python and associated librarieslike Pandas, Numpy etc., Pyspark , Shell scripting, DataModelling, Big data, Hadoop, Hive, ETL pipelines. Responsibilities : Proven successin communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and develop data engineering strategy. Ability to work with business ownersto define key businessrequirements and convert to user stories with required technical specifications. Communicate results and businessimpacts of insight initiatives to key stakeholders to collaboratively solve business problems. Working closely with the overall Enterprise Data & Analytics Architect and Engineering practice leads to ensure adherence with the best practices and design principles. Assures quality, security and compliance requirements are met forsupported area. Design and create fault-tolerance data pipelinesrunning on cluster Excellent communication skills with the ability to influence client business and IT teams Should have design data engineering solutions end to end. Ability to come up with scalable and modular solutions Required Qualification: 3+ years of hands-on experience Designing and developing Data Pipelinesfor Data Ingestion or Transformation using Python (PySpark)/Spark SQL in AWS cloud Experience in design and development of data pipelines and processing of data at scale. Advanced experience in writing and optimizing efficient SQL queries with Python and Hive handling Large Data Sets in Big-Data Environments Experience in debugging, tunning and optimizing PySpark data pipelines Should have implemented concepts and have good knowledge of Pyspark data frames, joins, caching, memory management, partitioning, parallelism etc. Understanding of Spark UI, Event Timelines, DAG, Spark config parameters, in order to tune the long running data pipelines. Experience working in Agile implementations Experience with building data pipelinesin streaming and batch mode. Experience with Git and CI/CD pipelines to deploy cloud applications Good knowledge of designing Hive tables with partitioning for performance. Desired Qualification: Experience in data modelling Hands on creating workflows on any Scheduling Tool like Autosys, CA Workload Automation Proficiency in using SDKsfor interacting with native AWS services Strong understanding of concepts of ETL, ELT and data modeling.

Technologies / Skills: Java8, Spring MVC, Springboot JPA/Hibernate, Angular/React, AWS Cloud Services, Terraform, Advance SQL, Python Responsibilities: - Communicating with users and other technical teams and develop Web Application. - Develop API using AWS API Gateway and AWS Lambda. - Develop API using Java Springboot and dockerize using AWS ECS Fargate. - Develop CI/CD using concourse/jenkins to build/deploy application in AWS Cloud. - Frontend development using Angular/React(any one) - Performs software design and code reviews - Works on complex problems having broad impact that require in depth analysis and judgment to obtain results or solutions - Defines and documents business requirements for complex system development or testing - - Comfortable working with agile / scrum / kanban - Collaborate with designers, development team, security and product team to deliver best in class enterprise ready solutions using industry standard development tools and practices - Willingness to join a distributed team operating across different time-zones - Maintain high ethical and performance standards Required Qualification: - 4+ years of relevant IT experience - 2+ years of hands-on experience developing Web Application in AWS cloud - Experience in JavaScript, Angular or React for building single-page applications - Experience implementing REST APIs in AWS Cloud - At least 2 years hands-on server development experience (Java/Python/C#) - Hands on in Java Springboot, Python, Hibernate/JPA, relational DB, DynamoDB, AWS Docker services like ECS, ECR - Experience with CI/CD pipeline implementation using concourse/jenkins - Bachelor s and/or Master's Degree in Computer Science related field

Key responsibilities: 1. Technical Leadership: a. Lead a team of 5-10 software engineers, providing technical guidance and mentorship. b. Drive technical excellence and best practices within the development team. c. Collaborating with architects and other teams leads to ensure consistency and alignment with overall technical strategy. 2. Software Development: a. Design, develop, test, and maintain high-quality software solutions using .NET technologies. b. Work closely with product managers, designers, and other stakeholders to understand requirements and deliver solutions that meet business needs. c. Ensure code quality, performance, and scalability of applications. 3. Problem Solving: a. Demonstrate strong problem-solving skills to address complex technical challenges. b. Investigate and resolve issues reported in production and provide timely solutions. 4. Team Management: a. Manage and mentor a team of software engineers, providing regular feedback and performance evaluations. b. Foster a collaborative and innovative team culture. 5. Emergency Response: a. Be part of the team responsible for responding to and mitigating IT emergencies, such as system outages or security incidents. 6. Quick Learner a. Should be quick to pick up new skills and comprehend new technologies when needed. Should be able to adjust to new design patterns. It's important to note that these responsibilities can be adjusted based on the organization's specific requirements and the size and scope of its IT infrastructure. Mandatory Skills: 1. Extensive front-end development experience, particularly in Angular or similar JavaScript frameworks. 2. Specialized in writing, optimizing, and debugging complex SQL queries for efficient data retrieval and manipulation. 3. Proven leadership and management experience, leading teams of software engineers. 4. Strong problem-solving and analytical skills. 5. Excellent communication and interpersonal skills. 6. Ability to thrive in a fast-paced and dynamic work environment. 7. Should understand firewall, VPC, Azure Identity. 8. Should have excellent understanding of SQL Server and be able to work on designing/optimizing complex queries. Technological Skills .NET, C#, Web APIs, WCF Services, Console App, Angular, Typescript, Desing Patterns, OOPS, Azure Build and Release Pipelines, Logic Apps, Hangfire, Function Apps, App service, SQL Server