Data Analytics Engineer IV. 4P/796
Tasks
- Build bronze/silver/gold data layers
- Build business applications using Power Apps Power Automate and OutSystems
- Build ingestion frameworks for batch streaming and structured data
- Design develop maintain enterprise ETL ELT data pipelines
- Develop Databricks notebooks workflows and reusable data products
- Develop PySpark and Spark SQL solutions
- Implement CI CD practices with GitHub and Azure DevOps
- Implement Delta Lake and Unity Catalog
- Implement data quality checks monitoring lineage metadata and exception handling
- Ingest data using Azure Data Factory Kafka CDC APIs files and databases
- Integrate Databricks data products with business applications
- Optimize lakehouse performance scalability and cloud costs
- Support architecture reviews solution design governance security and documentation
Perks/Benefits
- N/A
Skills/Tech-stack
API | Azure Data | Azure Data Factory | Azure DevOps | CDC | CI/CD | Data Factory | Data Lake | Data Warehousing | Data orchestration | Data pipeline | Databricks | Delta Lake | DirectQuery | ELT | ETL | Exception Handling | GitHub | Kafka | Lakehouse | Lineage | Metadata | Monitoring | Outsystems | Power Apps | Power Automate | Power BI | Power Platform | PySpark | Python | SQL | SQL Server | Spark SQL | Unity Catalog
Education
N/A
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