Senior Data Engineer
Citi (company site, opens in a new tab)8+ yrsChennaiOn-siteDirect career pageEst. 22–35 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead the modernization and refactoring of legacy Hadoop Spark pipelines to Databricks native architectures on AWS.
- Design, build, and optimize scalable, maintainable data processing solutions using Apache Spark (Scala) and Databricks features including Delta Lake and workflows.
- Analyze and improve Spark job performance while simplifying complex pipelines; contribute to architectural decisions and engineering standards.
Minimum Requirements
- 8+ years of experience in data engineering or distributed systems.
- Strong expertise in Apache Spark (ScalaSpark/JavaSpark/PySpark), Databricks on AWS, and Delta Lake.
- Experience modernizing legacy data platforms to cloud-based architectures and Spark performance tuning.
- Bachelor’s degree or equivalent experience.
Ideal Candidate Profile
- Technical leader skilled in translating architecture into detailed design and implementation for large-scale distributed data platforms.
- Experienced in performance optimization and pipeline simplification within high-impact, time-bound environments.
- Comfortable collaborating with senior architects, platform teams, and cross-functional global teams to drive modernization initiatives.