Data Engineer
Citi (company site, opens in a new tab)2–5 yrsPuneOn-siteDirect career pageEst. 12–20 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, develop, test, and maintain scalable PySpark / Apache Spark data pipelines for batch and streaming workloads.
- Manage and monitor Spark Streaming Jobs and Spark Batch Jobs ensuring data quality checks, auditing, Kafka integration, and timely execution.
- Work with large-scale data sources across Oracle, Hadoop, Impala, and SAS Server; support schema creation and access management; support legacy app retirement and adoption of modern data engineering technologies.
Minimum Requirements
- 2-5 years of relevant experience in programming and debugging business applications.
- Proficiency in Python and PySpark for distributed data engineering and experience with Apache Spark (Streaming and Batch) in production.
- Strong SQL skills with experience in relational (Oracle) and columnar (Impala, Hive) databases; familiarity with Kafka and job scheduling/monitoring tools (e.g., Autosys, ITRS).
- Bachelor’s degree in information technology, engineering, or equivalent experience.
Ideal Candidate Profile
- Experience working within full SDLC environments including Development, UAT, and Production.
- Strong operational focus demonstrated by managing pipeline monitoring, job scheduling, and incident response for large-data platforms.
- Comfortable with hybrid technology stacks involving Hadoop ecosystem, SAS analytics, Oracle databases, and Kafka event streaming.