Data Engineer

Data pipeline development, ETL/ELT processes, data integration and transformation, SQL and database management, Python/Spark development, data validation and testing, data quality assurance, cloud data engineering, technical documentation, troubleshooting, version control (Git), knowledge transfer, collaboration, and problem-solving skills.

The Mid-Level Data Engineer shall provide engineering and development support, including:
- Data pipeline development and maintenance
- Data integration and transformation activities
- Data validation and testing support
- Technical documentation support
- Participation in knowledge transfer activities

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