ML Data Engineer (100% On-Site |Contract-to-hire)
Tasks
- Apply data governance and access controls
- Build machine learning ready datasets and feature pipelines
- Collaborate to deliver production ready data solutions
- Define data requirements and metrics
- Design, build, and maintain scalable data pipelines
- Develop centralized data lake or lakehouse
- Implement ELT/ETL processes
- Improve data platform performance and cost efficiency
- Monitor data quality and freshness
- Support BI dashboards and reporting
Perks/Benefits
Skills/Tech-stack
Access Control | Airflow | Dagster | Data Governance | Data Lakehouse | Data Modeling | Data Quality | Data Security | Data pipeline | ELT | ETL | Prefect | Python | SQL | Schema Design
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