Data Engineer
GM Global Technical Center - Michigan IT Innovation Center, United States
USD 138K-206K Mid-level Full Time
Tasks
- Build Bronze Silver Gold data products
- Collaborate on data transformations semantic structures and curated assets
- Design scalable data pipelines in Databricks
- Develop ETL/ELT workflows
- Develop pipeline logic for standardization cleansing enrichment joins aggregations and publishing
- Implement data integration into and between enterprise applications
- Implement data quality validation reconciliation and documentation
- Ingest transform validate and publish trusted data products
- Modernize legacy integrations by migrating to enterprise data platform
- Monitor troubleshoot and optimize pipeline health runtime performance cost and stability
- Support secure data delivery access controls and governance
- Use GitHub for version control and promotion across environments
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Data Documentation | Data Governance | Data Modeling | Data Quality | Data Reconciliation | Data Validation | Data Warehousing | DataStage | Databricks | Databricks Notebooks | Dimensional Modeling | ELT | ETL | GitHub | Medallion Architecture | Metadata Management | Observability | Performance optimization | Python | SQL | Scheduling | Version control | Workflow Orchestration
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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