About the Role
Key Responsibilities:
Data Engineering & Pipeline Management
Data Engineering & Pipeline Management
- Design, build, and optimize T-SQL stored procedures, functions, and scripts for high-volume data processing and ECM scoring.
- Develop, deploy, and monitor end-to-end ETL/ELT workflows (e.g., SQL Server Agent, SSIS, Azure Data Factory, or Airflow) with checkpoint/rollback, job tracking, and recovery capabilities.
- Perform data cleansing, preparation, and transformation to support business intelligence and machine learning workflows.
- Engineer and maintain reusable feature store tables (per entity/tax type) for ML models and operational scoring.
- Model and maintain data warehouse structures (3NF, dimensional/star/snowflake), ensuring proper documentation of data lineage.
- Prepare and deliver curated, scored datasets for downstream consumption in Power BI dashboards and analytics environments.
- Develop and maintain audit...
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