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Senior Data Engineer – Data Mapping & Integration

at puma|wd502|jobs_at_puma

Bangalore, India Posted 2026-05-13

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About this role

About the Team and Role   We are looking for a   hands-on Senior Data Engineer   with strong   data mapping and integration   expertise   to join our   international   data engineering function. This role combines deep technical delivery with upstream data analysis and mapping, helping ensure that complex source data is accurately modelled, integrated, and made available to downstream consumers in a consistent and governed way.   You will work at the intersection of   data mapping, data engineering, and data management , collaborating closely with business stakeholders, data analysts, product teams, and other engineers   across multiple   timezones . The role plays a key part in delivering   high ‑ quality ,   well ‑ governed   data solutions that underpin digital channels, analytics, and operational reporting.     Key Responsibilities   Data Mapping & Analysis   Own and deliver   source ‑ to ‑ target   data mappings   for inbound and outbound data flows aligned to the enterprise common data model   Work with business and technical stakeholders to   gather, evaluate,   validate , and document data requirements   Plan and   facilitate   mapping workshops , including preparation, gap analysis,   follow ‑ ups , and incorporation of change requests   Perform   impact analysis   on data model and mapping changes and   maintain   mapping documentation and metadata   Validate mapping outcomes using SQL queries and provide data quality feedback and metrics   Act as a bridge between   data engineering, data governance, and business teams   Data Engineering & Integration   Design, develop, and maintain   ETL / ELT processes   supporting both project delivery and   business ‑ as ‑ usual   workloads   Develop and enhance data pipelines using   SQL, SSIS, and/or modern cloud-based tooling   Monitor and support production data processes, including batch runs, releases, and issue resolution   Troubleshoot complex data and performance issues within relational database environments   Contribute to improvements in   code quality, performance, tooling, and ways of working   Support and evolve data integration patterns as the platform moves towards   cloud ‑ native   solutions   Collaboration & Governance   Work within   Agile delivery teams , contributing to planning, estimation, and delivery   Maintain strong stakeholder relationships and communicate clearly on progress, risks, and dependencies   Ensure solutions adhere to   data governance, security, and quality standards   Contribute to the continual improvement of data management and data engineering practices     Essential Skills and Experience   Minimum 5   years   experience   in   data engineering and data integration   roles   Proven experience delivering   data mapping /   source ‑ to ‑ target   mappings   against a common data model   Advanced   SQL   skills, including complex queries, views, stored procedures, and performance tuning   Experience building and supporting   ETL processes   Solid understanding of   relational data models , OLTP and OLAP environments   Experience working in   Agile teams   and collaborating with   cross ‑ functional   stakeholders   Excellent analytical,   problem ‑ solving , and communication skills   Ability to work independently, manage multiple priorities, and see work through   end ‑ to ‑ end     Desirable / Nice to Have   Experience with   cloud platforms   (AWS and/or Azure)   Python, Databricks, or modern data engineering frameworks   Experience with   metadata or data management tools   (e.g. Collibra or similar)   Knowledge of source control (Git) and CI/CD pipelines   Experience across SQL Server, Oracle, and/or Postgres   Exposure to   AI ‑ assisted   development or data tooling   Experience in regulated or   data ‑ intensive   industries (e.g. healthcare, insurance, financial services)     The Person   We’re   Looking For   A proactive,   detail ‑ oriented   engineer who enjoys working   from requirements through to production   Comfortable operating between   business language and technical implementation   Confident facilitating workshops and influencing stakeholders   Passionate about data quality, structure, and doing things the “right way”   Curious, adaptable, and keen to grow with evolving data platforms     About The Cigna Group Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. Join us in driving growth and improving lives.

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