Senior Data Engineer
Citi (company site, opens in a new tab)8+ yrsChennaiOn-siteDirect career pageEst. 30–45 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead engineering and modernization of data processing pipelines on Databricks on AWS, transitioning from legacy Cloudera Hadoop platform.
- Design, develop, and optimize scalable Spark (ScalaSpark) pipelines and Databricks-native solutions including Delta Lake and orchestration workflows.
- Contribute to architecture and design, implement performance enhancements, enforce engineering standards, and support testing and release activities.
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 in modernizing legacy data platforms to cloud-native architectures with Spark performance tuning skills.
- Bachelor’s degree or equivalent experience.
Ideal Candidate Profile
- Skilled in translating high-level architecture into detailed, implementable designs with understanding of data modeling and pipeline patterns.
- Experienced in optimizing large-scale batch processing and simplifying complex data pipelines for efficiency and maintainability.
- Able to collaborate with architects and platform teams, providing technical inputs in high-impact, time-bound environments.