Middle Data Engineer (Azure Databricks)
Tasks
- Build lakehouse architectures with Delta Lake
- Design data models and data warehouse structures for analytics
- Design data pipelines using Azure Databricks
- Develop data transformations using PySpark and SQL
- Ensure data quality, scalability, and performance
- Evolve cloud based data architectures
- Implement ETL/ELT pipelines with Azure Data Factory
- Integrate multi source data into analytics layers
- Maintain SQL Server data platforms and SSIS solutions
- Support Power BI reporting platforms
Perks/Benefits
- Certification programs
- Health insurance
- Internal mobility
- Mentorship
- Professional development opportunities
- Relocation program
- Remote work flexibility
- Talent investment programs
Skills/Tech-stack
Apache Spark | Azure Data | Azure Data Factory | Azure Databricks | Azure DevOps | CI/CD | Data Factory | Data Modeling | Data Processing | Data Warehouse | Delta Lake | Distributed data | Distributed data processing | ELT | ETL | Lakehouse | Power BI | PySpark | SQL Server | Spark SQL | Structured Streaming | T-SQL
Education
N/A
Roles
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