Specialist - Data Engineer
Sourceo12+ yrsPuneOn-siteDirect career pageEst. 28–45 LPA
Posted on 6 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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.
Ideal Candidate Profile
- 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.