Data Quality Engineer, Enterprise Data Platform - Data Quality & Data governance) , AWS , SQL & Python , Cloud, Power BI
Tasks
- Build and maintain data validation frameworks
- Build semantic layer for BI and AI
- Define data certification workflows
- Develop tests for schema drift anomalies and reconciliation
- Enable certified dashboards and reporting
- Ensure data meets nine quality dimensions
- Integrate LLM query interfaces with enterprise data
- Leverage metadata management and lineage tools
- Monitor data quality and drift
- Prepare datasets for conversational analytics
- Provide datasets for ML training and inference
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | Athena | Atlan | BigEye | DAX | DataDogs | Databricks | Deequ | Delta Lake | Glue | Grafana | Great Expectations | Iceberg | Langchain | Monte Carlo | OpenAI | Power BI | Presto | PySpark | Python | S3 | SQL | SageMaker | Soda | Trino | Unity Catalog
Education
Roles
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