Senior Data Engineer - Apache Spark and SQL - Vice President
Citi (company site, opens in a new tab)11+ yrsPuneOn-siteDirect career pageEst. 30–48 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead the modernization and continuous evolution of data processing pipelines from legacy Hadoop to Databricks on AWS.
- Design, implement, and optimize Spark (JavaSpark/PySpark) solutions using Databricks native features including Delta Lake and workflow orchestration.
- Contribute to architecture and design decisions ensuring scalability, maintainability, and performance of data platform solutions.
Minimum Requirements
- 11+ years of experience in data engineering or distributed systems.
- Strong expertise in Apache Spark (JavaSpark/PySpark), Databricks on AWS, and Delta Lake.
- Experience with SQL and AWS large-scale distributed data processing services.
- Bachelor’s degree or equivalent experience.
Ideal Candidate Profile
- Proven capability to refactor legacy data platforms into cloud-native architectures with modernization focus.
- Experienced in translating high-level architecture into detailed technical designs and reusable pipeline components.
- Able to work in high-impact, time-bound environments providing technical leadership and collaborating across global teams.