- Design, develop, and maintain scalable and robust ETL/ELT processes and data pipelines using various tools and technologies.
- Build and optimize data warehouses, data lakes, and other data storage solutions to support analytical and operational needs.
- Implement data quality checks and monitoring to ensure the accuracy, completeness, and consistency of data.
- Work with large datasets, performing data modeling, schema design, and performance tuning.
- Create data models that are easy for BI tools to consume and build dashboard.
Qualifications needed:
- Proficiency in Python, SQL and data engineering concepts.
Technologies used :
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