QA Automation Engineer (Data)
MumbaiFull-timeHybrid2–5 yrsPosted 1 week ago
Mid-level QA and testing role at Morningstar in Mumbai. Needs 2+ years and a degree. Hybrid.
About the role
The Data Quality Automation Engineer will join the Systematic Strategies team in the Research & Investment group. This experienced professional wil l design and implement automated data quality controls, validation frameworks, reconciliation processes, and monitoring solutions across enterprise-scale data platforms.
What you'll do
- Design, build, and maintain enterprise-scale automated data quality frameworks like Great Expectations, AWS Glue Data Quality, Amazon Deequ
- Experience implementing and maintaining data quality controls by establishing quality metrics for multi-asset class financial datasets
- Develop automated monitoring controls capable of identifying anomalies, outliers, missing data, stale data, and reconciliation breaks
- Develop automated source-to-target reconciliation frameworks across ingestion, transformation, and reporting layers
- Collaborate with Data Engineering teams to embed data quality controls throughout ETL/ELT pipelines
What you need
- SQL
- Python
- Reconciliation
- AWS
- Root cause analysis
- Spark
Good to have
- Git
- ETL
- Bloomberg
- Capital markets