Manager, Data Engineering
Tasks
- Build reusable data frameworks
- Conduct architecture reviews
- Conduct code reviews
- Design data models
- Establish data engineering standards
- Implement RBAC
- Implement bronze silver gold layers
- Implement data quality controls
- Implement data testing
- Implement lineage
- Implement observability
- Implement reconciliation
- Implement security controls
- Integrate APIs
- Integrate SAP data
- Integrate Salesforce data
- Integrate relational databases
- Lead and coach data engineers
- Maintain reporting continuity during migrations
- Manage source control
- Migrate and integrate legacy data
- Monitor production data pipelines
- Perform knowledge transfer
- Plan and deliver data engineering initiatives
- Provide hands-on technical leadership
- Resolve incidents
- Set up CI/CD
- Translate business requirements into data pipelines
- Troubleshoot data platform issues
Perks/Benefits
- 401k
- Dental insurance
- Life and disability coverage
- Medical insurance
- Paid time off
- Tuition reimbursement
- Vision insurance
- Wellness programs
Skills/Tech-stack
AWS | Apache Spark | Automated testing | CI/CD | Code review | Data Modeling | Data Warehousing | Databricks | Databricks Unity | Databricks Unity Catalog | Databricks Workflows | Delta Lake | Delta Live Tables | Delta Live) | Dimensional Modeling | Git | IAM | Lakehouse | Lambda | Medallion Architecture | Networking | Pull Requests | PySpark | Python | Relational modeling | S3 | SQL | Secrets Manager | Unity Catalog
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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