Sr Data Engineer
Capco, a Wipro company (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 18–30 LPA
Posted 1h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and support enterprise production data pipelines, including ETL and batch processing.
- Work across Azure data engineering components and lakehouse architecture; performance enhancement and delivery impact are not further specified in the JD.
Minimum Requirements
- Work Experience Required: Not explicitly mentioned in the JD.
- Technical skills listed: Python, PySpark, Spark SQL, Databricks, Azure, REST APIs, CI/CD, Delta Lake, lakehouse architecture, ADLS, and Terraform/IaC.
- JD also lists Spark fundamentals (partitioning, caching, distributed processing, performance enhancement) and exception handling.
Ideal Candidate Profile
- Best aligned with production data engineering work involving pipeline development and ongoing support.
- A strong fit for roles combining Spark-based batch processing with Azure, Databricks, and lakehouse technologies.