Data Engineer
GM Global Technical Center - Michigan IT Innovation Center, United States
USD 138K-206K Mid-level Full Time
Tasks
- Apply data quality validation reconciliation and documentation
- Build Bronze Silver Gold data products with governance
- Design data pipelines in Databricks for analytics reporting AI
- Develop ETL ELT workflows using Databricks notebooks Python Spark SQL
- Implement data integration patterns into and between enterprise applications
- Implement pipeline logic for ingestion standardization cleansing enrichment joins aggregations publishing
- Ingest transform validate publish trusted data products
- Modernize legacy integrations by migrating to enterprise data platform
- Monitor troubleshoot and optimize pipeline health performance cost efficiency
- Use GitHub for version control code review and environment promotion
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Agile | Apache Spark | Bronze Silver Gold | CMDB | Data Governance | Data Lineage | Data Modeling | Data Quality | Data Warehousing | DataStage | Databricks | Databricks Notebooks | Dimensional Modeling | ELT | ETL | Error Handling | GitHub | ITSM | Medallion Architecture | Metadata Management | Observability | Performance optimization | Permissions | Python | SQL | ServiceNow | Workflow Orchestration
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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