Azure Data Engineer
Tasks
- Apply RBAC security
- Build ETL/ELT pipelines
- Configure network security
- Design Lakehouse schemas
- Design and maintain dimensional data models
- Design data ingestion pipelines
- Develop PySpark transformation logic
- Develop Python transformation logic
- Implement CI CD for Databricks using Databricks Asset Bundles
- Implement CI/CD pipelines
- Implement OAuth based authentication
- Implement SCD Type 1 and Type 2 models
- Implement batch and streaming data transformations
- Integrate REST Graph and custom APIs
- Maintain data documentation and best practices
- Manage data storage using data lake and Delta tables
- Optimize data ingestion and ETL ELT pipelines
- Tune SQL query performance
- Use Azure Key Vault and managed identities
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Kafka | Asset bundles | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure DevOps | Azure Key Vault | Big Data | Big data processing | CI/CD | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Processing | Databricks (asset) | Databricks Asset Bundles | Delta Lake | Dimensional Modeling | Distributed Systems | Event Hub | Key Vault | Lakehouse | Managed Identities | Microsoft Graph | OAuth | OAuth token | OAuth token based authentication | Parquet | Partitioning | PySpark | Python | RBAC | REST APIs | SCD Type 1 | SCD Type-2 | SQL | SQL CTE | SQL window functions | Structured Streaming | Token-based authentication | Type 1 | Type 2) | Window Functions
Education
N/A
Roles
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