Senior Data Test Analyst
Citi (company site, opens in a new tab)10–12 yrsHybridDirect career pageEst. 28–45 LPA
Posted 14h ago
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Job description
Structured overview of role & requirements
About This Role
- Own end-to-end quality assurance of complex Wealth data pipelines from ingestion through transformation to consumption.
- Lead and improve User Acceptance Testing (UAT) processes and product rollout into production, recommending solutions and improvements.
- Design, build, and maintain automated validation frameworks using Python/PySpark with AI/ML-assisted testing techniques such as anomaly detection and predictive defect analysis.
Minimum Requirements
- 10-12 years of experience in an IT Quality role.
- Proficiency with Python/PySpark for test automation and validation frameworks on cloud and on-prem environments.
- Strong domain knowledge of Wealth systems and data architecture related to the consumption layer pipeline.
- Experience with Databricks, Snowflake, Hadoop/ETF framework, and test automation tools.
Ideal Candidate Profile
- Experienced in high-velocity, complex data environments requiring integration of financial domain expertise and modern data engineering skills.
- Capable of leading and mentoring teams with sound judgment to evaluate risks, analyze complex issues, and recommend process improvements.
- Demonstrated ability to implement AI/ML techniques for testing and quality assurance in a fast-paced, compliance-driven environment.