Data Engineering Developer - Assistant Manager
Tasks
- Apply coding testing and CI CD best practices
- Build ingestion transformation and validation frameworks
- Design scalable data pipelines
- Develop ETL and ELT frameworks
- Develop and optimize Spark jobs
- Implement data architecture and integration solutions
- Manage Databricks workflows and scheduling
- Optimize cluster utilization and Spark execution plans
- Support production environments and incident resolution
- Troubleshoot production pipeline failures
Perks/Benefits
Skills/Tech-stack
Apache Spark | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure DevOps | CI/CD | Data Factory | Data Lake Storage | Data Modeling | Data Processing | Data Quality | Data Validation | Data Warehousing | Databricks | Delta Lake | Distributed data | Distributed data processing | ELT | ETL | Git | GitHub | Kafka | Lakehouse | Microsoft Azure | Performance Tuning | PySpark | SQL | Scala | Snowflake | Spark SQL | Spark Structured Streaming | Structured Streaming | Unity Catalog
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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