Azure Data Engineer
Tasks
- Alert on data pipeline issues
- Apply Data Governance policies
- Build Azure Data Factory pipelines
- Configure Databricks clusters
- Design data architecture standards
- Design end-to-end data pipelines
- Develop Azure Functions
- Develop Logic Apps
- Develop data models
- Document architecture decisions
- Implement data quality checks
- Implement data transformation logic
- Implement medallion architecture
- Ingest data from REST APIs
- Ingest data from flat files
- Ingest data from relational databases
- Maintain operational runbooks
- Manage Azure Data Lake Storage Gen2
- Manage Databricks Workspace
- Manage access controls
- Orchestrate and schedule data workflows
- Track data lineage
- Troubleshoot pipeline failures
- Use PySpark in Databricks notebooks
- Validate data quality
Perks/Benefits
- N/A
Skills/Tech-stack
Access Control | Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Functions | Azure Storage | CSV | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Lineage | Data Modeling | Data Quality | Databricks | Logic Apps | Medallion Architecture | PySpark | Python | REST APIs | SQL | XML
Education
N/A
Roles
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