Job Description Design, develop, and maintain enterprise data solutions supporting Dealer Systems applications and critical business reporting functions across multiple data sources. Engineer and enhance backend data models, including the design and maintenance of logical and physical data models to improve scalability, performance, and data integrity. Develop, optimize, and support database objects including stored procedures, views, functions, and database jobs, while performing data analysis, profiling, validation, and root cause investigations to ensure the accuracy and reliability of business-critical data assets. Build, support, and optimize ETL/ELT processes using Qlik Replicate (Attunity) and related integration technologies, while leading data migration and modernization initiatives involving Oracle, PostgreSQL, AWS, and Snowflake platforms. Support batch processes that synchronize and update critical dealer and enterprise data sources, and work closely with business stakeholders, analysts, and application teams to translate business requirements and user stories into scalable data engineering solutions. Collaborate as part of an Agile team through sprint planning, backlog refinement, estimation, testing, and production deployment activities, while identifying dependencies, risks, and integration points across enterprise applications and data platforms. Provide production support, troubleshoot data-related issues, implement enhancements, and take ownership of deliverables by providing accurate estimates and delivering high-quality solutions with minimal supervision. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal prospect/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion,



sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [email protected] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 7+ years of hands-on Data Engineering experience Strong expertise with Oracle, PostgreSQL, SQL Server, and relational database design Strong Data Modeling experience, including logical and physical data model design Experience supporting and enhancing enterprise data platforms and backend application data models Hands-on experience with Qlik Replicate (Attunity) for data migration, ETL, replication, and modernization initiatives Experience designing, building, and supporting ETL/ELT pipelines Production support, SSIS development experience Experience working with AWS services such as S3 and Lambda Experience working with Snowflake and modern cloud data platforms Python or comparable scripting/programming experience Ability to analyze business requirements and translate them into scalable data solutions Experience working in Agile/Scrum environments, including participation in sprint planning, backlog grooming, estimation, and retrospectives Strong communication skills with both technical and business stakeholders usses: SSRS reporting experience Power BI development and dashboarding experience Experience with Visual Studio development tools Experience supporting large-scale data modernization or legacy system migration initiatives

📌 Data Engineer (Pune)
🏢 Insight Global
📍 Pune