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Niche senior data role with metro location and moderate brand yields lower competition.
Core data engineering skills transferable, but healthcare and client-facing experience increases domain specificity.
Mandatory 7+ years, domain expertise and specific tech stack increase shortlisting strictness.
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Lead a global team of data engineers responsible for end-to-end client implementations, ensuring timely and high-quality delivery aligned with client expectations.
Provide hands-on technical leadership for ETL workflows, data mapping, and clinical data integration in complex healthcare data scenarios.
Own operational execution including resource planning, performance metrics, and continuous improvement across cross-functional and distributed teams.
Minimum 7 years experience in data engineering, including client-facing implementations.
Proficiency in Python, PySpark, advanced SQL, and experience with AWS, Databricks, and Snowflake.
Bachelor's or Master’s degree in Computer Science, Engineering, Data Science, or related field.
Location requirement: Based in Pune, hybrid work model with 3 days onsite per week.
Experienced leader balancing technical depth and operational excellence in data engineering for healthcare-related data.
Strong background in building scalable ETL and data integration pipelines and leading distributed teams globally.
Strategic focus on client delivery, operational rigor, and continuous improvement in data engineering practices within healthcare domain.