Data Engineer (Azure Databricks)
Tasks
- Build and optimize data transformations using PySpark and SQL
- Collaborate with BI teams to support Power BI
- Design and develop data pipelines using Azure Databricks
- Design cloud-based data architectures
- Design data models and data warehouse structures for analytics
- Develop ETL and ELT pipelines with Azure Data Factory
- Ensure data quality, scalability, and performance
- Implement and maintain Lakehouse architectures using Delta Lake
- Integrate data from multiple sources
- Support and evolve SQL Server data platforms and SSIS
Perks/Benefits
- Health insurance
- Internal mobility
- Internship opportunities
- Mentorship program
- Professional development
- Relocation program
- Remote work
Skills/Tech-stack
Apache Spark | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | CI/CD | Data Factory | Data Modeling | Data Quality | Data Warehousing | Delta Lake | ELT | ETL | Lakehouse | Performance optimization | Power BI | PySpark | SQL Server | Spark SQL | Structured Streaming | T-SQL
Education
N/A
Roles
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