- Collect, clean, and transform data from different sources.
- Write SQL queries for data extraction and processing.
- Use Python for data processing and automation.
- Maintain databases and data warehouses.
- Perform data quality checks and fix data issues.
- Monitor pipelines and troubleshoot errors.
- Support ETL/ELT processes and data integration.
- Work with Data Analysts and other technical teams.
- Document data processes and pipelines.
Key Requirements
- Bachelor’s degree in Computer Science, IT, Data Science, Engineering, or a related field.
- Good knowledge of SQL.
- Basic to intermediate Python skills.
- Understanding of ETL/ELT and data pipelines.
- Knowledge of databases and data warehousing.
- Basic understanding of cloud platforms such as Azure or AWS.
- Familiarity with Git/version control.
- Good analytical and problem-solving skills.
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Data Engineer: ETL & Data Warehousing Pro employer: Spait Infotech
At Spait Infotech, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our employees benefit from continuous professional development opportunities, competitive compensation, and a supportive environment that values work-life balance. Located in a vibrant tech hub, our team enjoys access to cutting-edge resources and a network of like-minded professionals, making it an ideal place for passionate developers to thrive.
