Senior Data Engineer
Citi (company site, opens in a new tab)7–10 yrsPuneHybridDirect career pageEst. 22–32 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Own the design and maintenance of scalable, secure data warehouse architecture, data products, models and semantic layers for reporting, downstream applications, AI and regulatory use.
- Build and operate high-volume data pipelines and integrations; implement data quality, governance, lineage and security controls so data is reliable for consumption.
- Contribute to technical direction, CI/CD and testing, and production stability through process documentation, monitoring and health checks in partnership with business and technology teams.
Minimum Requirements
- Work Experience Required: 7–10 years of relevant experience is recommended in the JD; it is not stated as a strict minimum.
- Financial services experience and understanding of trading data are required.
- Bachelor’s degree or equivalent experience; the JD does not state that a degree is mandatory if equivalent experience is held.
- Strong data engineering capability is required, including complex data integration and scalable pipelines; listed technologies include Python, Airflow, Spark, Java, Kafka, Trino/Starburst and S3.
Ideal Candidate Profile
- Has enterprise data engineering experience in complex, highly matrixed environments, with a track record of designing distributed, high-availability pipelines and large-scale data models.
- Can cover both platform engineering and data controls: performance tuning, security, quality and reconciliation, lineage, observability, and production support.
- Brings hands-on exposure to modern data and cloud platforms such as Oracle, Databricks, Snowflake, AWS/Docker and microservices; these platforms are listed as preferred or relevant experience, not all as strict requirements.