Data Engineer Pyspark
Citi (company site, opens in a new tab)5–8 yrsChennaiHybridDirect career pageEst. 18–30 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Build, test, optimize, and support batch and real-time data pipelines using Apache Spark, Databricks, Kafka, Scala, Python, and SQL within a data engineering team.
- Analyze Spark execution plans and metrics to troubleshoot failures and improve performance, while maintaining Lakehouse architecture solutions like Iceberg or Delta Lake.
- Take ownership of delivery outcomes including quality and timelines, providing oversight and guidance on execution, and resolving production issues under technical leads' supervision.
Minimum Requirements
- 5-8 years of relevant experience in Financial Services industry in Applications Development or Data Engineering role.
- Proficiency in Apache Spark, Databricks, Scala, Python, SQL, and experience with Kafka, Spark Structured Streaming, and Lakehouse architectures (Iceberg, Delta Lake).
- Bachelor’s degree or equivalent experience.
- Work Experience Required: 5-8 years in relevant role; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in developing and optimizing data-processing workflows in distributed data environments using Spark and related technologies.
- Able to independently exercise judgment and decision-making for delivery and production support in a complex financial services environment.
- Skilled in applying structured analytical thinking and domain expertise to evaluate complex business requirements and operational challenges aligned with established standards.