Data Engineering Supervisor
USD 96K-119K Senior-level Full Time
Tasks
- Assign prioritize and track delivery tasks
- Build and maintain ETL/ELT pipelines
- Build reporting and data products for business users
- Collaborate with business stakeholders to translate requirements
- Design develop and maintain cloud native data pipelines
- Develop reusable tools and frameworks for data platform
- Ensure data governance data quality lineage schema documentation
- Monitor data pipelines performance troubleshoot issues
- Organize and structure data for querying and secure access
- Oversee data operations team
- Participate in hiring interviews
- Perform root cause analysis for pipeline failures
- Provide performance feedback and development planning
- Provide technical guidance for data engineering best practices
Perks/Benefits
- 401k plan
- Company paid life insurance
- Dental insurance
- Medical insurance
- Paid time off
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
ADLS Gen2 | Analysis Services | Azure Analysis | Azure Analysis Services | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure DevOps | Azure Functions | Azure Key Vault | Azure SQL | Azure Synapse | Data Factory | Data Governance | Data Lake | Data Lake Storage Gen2 | Data Lineage | Data Modeling | Data Pipelines | Data Quality | Data lake performance | Databricks | Dataflows Gen2 | Delta Lake | Denormalized Data | ELT | ETL | Fabric Data Pipelines | Fabric Dataflows | Fabric Dataflows Gen2 | Git | GitHub | Hudi | Iceberg | JSON | Key Vault | Kubernetes | Lakehouse | Microsoft Azure | Microsoft Fabric | Microsoft Purview | Normalized Data | OneLake | Parquet | Power BI | PySpark | Python | Query Optimization | SQL | Schema management | Semantic models | Spark | Star Schema | T-SQL | Tabular models | Terraform | Warehouse
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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