Job Description
You will drive the development of scalable data architectures, deliver advanced analytics, and lead machine learning initiatives that support strategic business needs. You will collaborate closely with engineering, governance, and business teams to build a robust data ecosystem and promote data‑driven decision making.
Global end client company
Description
- Build and optimize scalable, production-grade data pipelines using AWS (Glue, S3, Athena, Redshift)
- Support the transition from legacy DWH to a lakehouse architecture (bronze/silver/gold)
- Ensure documentation, data quality and efficient ETL/ELT processes
- Translate complex findings into actionable business recommendations and stakeholder report
- Design, deploy, and maintain ML models (supervised, unsupervised, time‑series)
- Develop reproducible pipelines and monitor model performance for continuous improvement
- Build dashboards and self‑servi...
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