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