Middle Data Engineer (Azure Databricks)
Tasks
- Build and optimize data transformations using PySpark and Spark SQL
- Collaborate with BI teams for Power BI reporting
- Contribute to cloud based data architecture design
- Design and develop data pipelines using Azure Databricks
- Design and maintain data models for analytics
- Develop ETL and ELT pipelines with Azure Data Factory
- Ensure data quality, scalability, and performance
- Implement Lakehouse architectures using Delta Lake
- Integrate data from multiple sources
- Support SQL Server data platforms and SSIS solutions
Perks/Benefits
- Health insurance
- Internal mobility
- Internship opportunities
- Mentorship
- Professional development
- Relocation program
- Work from anywhere
Skills/Tech-stack
Apache Spark | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | Big Data | CI/CD | Data Factory | Delta Lake | Distributed Computing | ELT | ETL | Lakehouse | Power BI | PySpark | SQL | SQL Server | SSIS | Spark SQL | Structured Streaming
Education
N/A
Roles
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