Found Description
You will be responsible for the development, maintenance, and optimization of data processing solutions within the Client Contribution platform.
Key responsibilities
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 continuous improvement of data solutions.
Mandatory skills
3+ years of experience in data and programming
Good SPARK basis + programming language that could be: Scala, Python or Java
Azure Databrick...
Key responsibilities
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 continuous improvement of data solutions.
Mandatory skills
3+ years of experience in data and programming
Good SPARK basis + programming language that could be: Scala, Python or Java
Azure Databrick...