You will be responsible for the development, maintenance, and optimization of data processing solutions within the Client Contribution platform.

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Key responsibilities

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• Designing and developing ETL/data transformation processes, implementing and maintaining Spark-based pipelines, supporting data integration initiatives, analyzing and troubleshooting data-related issues, and ensuring data quality and performance across the platform.
  
• The role requires hands‑on experience with Spark, SQL, (with Scala Python or Java), Databricks or similar Big Data environments, and DevOps practices.
  
• The candidate should be comfortable working in Agile teams, collaborating with functional and technical stakeholders, analyzing requirements, and contributing proactively to the con...