Data Warehouse Engineer
Tasks
- Build data warehouse pipelines
- Design Azure Data Platform
- Implement Change Data Capture
- Implement incremental loads
- Integrate data lineage and catalog
- Maintain data dictionary and metadata
- Maintain runbooks and troubleshooting guides
- Monitor sla and pipeline health
- Operate data pipelines reliably
- Optimize query performance
- Optimize synapse cost
- Perform root cause analysis
- Support power bi connectivity
- Support security and compliance reviews
- Train stakeholders on sql and data requests
- Troubleshoot data integration failures
Perks/Benefits
- 401k matching
- Career development
- Dental insurance
- Health insurance
- Paid Holidays
- Paid sick leave
- Paid time off
- Remote work option
- Vision insurance
Skills/Tech-stack
ACL | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Gen2 | Azure DevOps | Azure Key Vault | Azure Monitor | Azure Purview | Azure Synapse | Azure Synapse Analytics | CI/CD | COPY INTO | Change Data Capture | Data Capture | Data Factory | Data Lake Gen2 | Data Modeling | Delta Lake | Dimensional Modeling | Git | Incremental loads | Indexing | Infrastructure as Code | KQL | Key Vault | Log Analytics | Managed Identity | Network Security | Parquet | Partitioning | PolyBase | Power BI | Private Endpoint | Query Optimization | RBAC | SCD Type-2 | SQL | Snowflake Schema | Star Schema | Synapse Analytics | T-SQL | Type 2) | Workload management | “as-code”
Education
N/A
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