Manager, Data Engineering
Tulsa Office, United States
USD 120K-198K (estimate) Senior-level Full Time
Tasks
- Build ETL/ELT pipelines
- Define data warehouse and data engineering strategy
- Design enterprise data lake and lakehouse architecture
- Enable advanced analytics and AI ML initiatives
- Ensure data quality governance security
- Lead and mentor data engineering teams
- Migrate legacy platforms to cloud
- Support enterprise BI reporting KPI dashboards
Perks/Benefits
- 401k match
- Disability coverage
- Disability insurance
- Educational assistance
- Employee assistance program
- Flex Scheduling
- Flexible spending account
- Health savings account
- Learning and development
- Medical/dental/vision/life insurance
- Paid leave
- Parental & Adoption benefits
Skills/Tech-stack
Apache Spark | Azure Data | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | Azure Synapse | Azure Synapse Analytics | CI/CD | Change Data Capture | Data Capture | Data Governance | Data Lake | Data Lake Storage | Data Management | Data Modeling | Data Warehouse | DataOps | Databricks | Databricks SQL | Delta Lake | Delta Live Tables | Delta Live) | ELT | ERP integration | ETL | Git | GitHub | IBM Cognos | Lakehouse | MLflow | Master Data | Master Data Management | Microsoft Dynamics | Microsoft Fabric | Oracle EBS | Power BI | PySpark | Python | Real Time | Real-time analytics | SAP | SQL | Streaming Data | Synapse Analytics | Tableau | Unity Catalog | Workday
Education
N/A
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