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Data Engineer

Summary

Designs and maintains scalable data pipelines and ETL/ELT processes for a digital bank, ensuring data quality and integrity while optimizing performance and leveraging AI tools.

- Build monitoring for data pipelines - Collaborate with stakeholders on data requirements - Design end-to-end data solutions - Design scalable big data pipelines - Develop ETL/ELT processes - Ensure data quality and integrity - Implement data models schemas and documentation - Optimize pipeline performance - Stay updated on data engineering best practices - Troubleshoot complex data pipeline issues - Use AI tools to automate development tasks

See also

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