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Job Description

Description :

- Design, build, and maintain robust, scalable ETL processes for data acquisition, transformation, and delivery;

- Collaborate with Data Analysts, Architects, and Compliance stakeholders to translate requirements into efficient ETL solutions;


- Ensure data quality, integrity, lineage, and traceability across large-scale datasets;

- Optimize ETL workflows for performance, scalability, and maintainability;

- Perform data profiling, troubleshooting, and root cause analysis to resolve pipeline or quality issues;


- Deploy, monitor, and support ETL jobs across development, QA, and production environments;


- Contribute to the development of technical standards, documentation, and operational best practices.

What youll bring :

- Hands-on ETL development experience in enterprise data environments;

- Proven expertise in designing and optimizing complex data pipelines;

- Strong understanding of data modeling, data integration, and data warehousing concepts;


- Experience with modern ETL tools (e.g., Informatica, Talend, DataStage, or equivalent);


- Advanced SQL skills and familiarity with scripting (Python, Shell, etc.) for workflow automation;

- Knowledge of data governance, quality, and lineage frameworks;

- Experience working in regulated industries (financial services or similar) is a strong plus;

- Excellent performance tuning and troubleshooting skills;

- Strong communication skills and proven success in agile, cross-functional teams.


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