Senior PySpark Python Data Engineer - Assistant Vice President
Citi (company site, opens in a new tab)8–12 yrsPuneHybridDirect career pageEst. 28–44 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Consult with business stakeholders to define and validate data requirements, data flows, and architecture for regulatory reporting and liquidity risk projects.
- Design, develop, and maintain robust data models and large-scale data processing solutions using PySpark, Python, and SQL to support reporting, analytics, and AI/ML initiatives.
- Lead complex data analysis to identify trends, ensure data quality, and produce insights via data visualization tools (Tableau, Power BI, QlikView) focusing on regulatory and risk domains.
Minimum Requirements
- 8-12 years of experience as a PySpark Python Data Engineer or similar role in Financial Services, with focus on regulatory reporting and liquidity risk.
- Advanced proficiency in PySpark, Python, and SQL; strong experience with relational databases and Big Data technologies including Hadoop, Spark, Kafka, AWS S3, and Databricks.
- Bachelor’s degree or equivalent experience required; Master’s degree preferred.
- Experience with data modeling, data visualization tools (Tableau, Power BI, QlikView), and full SDLC involvement in data-centric projects.
Ideal Candidate Profile
- Experienced professional capable of bridging technical and business teams, specifically in compliance-driven environments like Basel and CCAR.
- Technically proficient with hands-on expertise in PySpark, Python, SQL, Big Data ecosystems, and AI/ML data preparation workflows.
- Able to manage complex data processes and architectures for high-impact, regulatory financial projects, demonstrating strong communication and leadership for guiding junior analysts.