Job Description

Your job

  • Build, enhance, and maintain scalable data ingestion, processing, and transformation pipelines using Databricks, PySpark, Python, and SQL.
  • Support the team in developing and optimizing enterprise data platforms and metadata/governance solutions with tools like Informatica and Azure Purview.
  • Participate in code reviews, testing, and deployment to ensure reliability, quality, and performance of data solutions.
  • Collaborate within a Scrum/DevOps team to deliver cloud‑based data engineering capabilities.
  • Continuously learn and expand your skills in modern data engineering, Azure cloud services, ETL/ELT frameworks, and best practices.

    • Your working environment


    The Data Management Engineering department is responsible for designing, building, and maintaining the bank’s end‑to‑end data management solutions. Our mission is to enable dat...

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