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Senior, highly specialized Snowflake/data-platform role reduces applicant density despite Pune location.
Data engineering skills transferable across industries but Snowflake and platform-specific governance increase domain specificity.
Explicit 12+ years requirement plus deep Snowflake, CI/CD, and data governance mandates strict filtering.
Own end-to-end delivery of enterprise-scale production data pipelines, including ingestion, transformation, orchestration, and serving layers.
Lead technical standards creation, mentoring, and design reviews to establish consistent engineering frameworks and conformance criteria across data engineering teams.
Design and implement DataOps CI/CD pipelines, data quality monitoring frameworks, observability instrumentation, and incident response workflows for data quality breaches.
12+ years work experience in data engineering or related fields.
Degree requirement: B.E. or M.Tech in Electrical, Electronics, or Computer Science.
Strong proficiency in SQL and Python, with hands-on Snowflake expertise including data sharing, zero-copy cloning, dynamic tables, streams and tasks, RBAC, and query optimization.
Experience with GitHub for version control and CI/CD automation (GitHub Actions) and knowledge of both batch and streaming data processing paradigms.
Experienced technical leader capable of influencing engineering direction and setting technical standards without formal management authority.
Proficient in modern data engineering architectures such as medallion architecture, dimensional modeling, and lakehouse/warehouse patterns with a track record of leading modernization initiatives.
Strong background in data quality frameworks, observability, testing frameworks, and automation of deployment workflows, with familiarity or experience in GenAI tools to enhance data engineering workflows.