Related skills
azure aws sql python databricks📋 Description
- Data pipeline development end-to-end for ingestion and processing
- Develop robust ETL processes from diverse sources
- Implement data quality validation checks
- Design and maintain data models and schemas
- Design and manage data warehouses or data lakes
- Optimize pipelines and queries for performance
🎯 Requirements
- Bachelor's or Master's in CS, Engineering, or related field
- 3+ years in data engineering or similar
- Python proficiency
- Strong SQL skills and database modeling knowledge
- Experience with Hadoop, Spark and cloud platforms (AWS, Azure)
- ETL tools such as SSIS and Databricks
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