- Develop efficient Python and SQL solutions for data processing.
- Design and maintain data warehouses, data lakes, and lakehouse architectures.
- Perform data cleansing, transformation, validation, and quality checks.
- Optimize data pipelines and SQL queries for performance and scalability.
- Integrate data from APIs, relational databases, cloud systems, and enterprise applications.
- Implement monitoring, logging, error handling, and data-quality controls.
- Collaborate with Data Analysts, Data Scientists, Architects, Business Analysts, and application teams.
- Support data migration and modernization initiatives.
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Databricks Data Engineer 10+ only
Visionary Innovative Technology Solutions LLC
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