Big Data Developer
Job Description
About the role
We are looking for a Big Data Developer to join an Agile environment and work on the design, development and evolution of data lake solutions for Market Risk use cases.
You will work with technologies such as Spark, Scala and SQL, developing large-scale data processing pipelines and contributing to the ingestion, transformation, validation and publication of critical data.
The role combines hands-on technical development with problem-solving and collaboration across Agile squads, functional teams and production support teams.
What will you do?
• Design, develop and maintain data lake pipelines using Apache Spark, Scala and SQL.
• Build and maintain scalable data processing solutions for large volumes of data.
• Orchestrate batch workflows and dependencies using tools such as Control-M and Airflow.
• Implement data ingestion, transformation, validation and publication processes for Market Risk use cases.
• Analyse and optimise the performance, reliability and scalability of Spark-based workloads.
• Analyse technical and functional requirements, identify gaps and propose effective solutions.
• Contribute to delivery planning and collaborate with different teams to ensure successful implementation.
• Support production incidents, perform root-cause analysis and contribute to continuous improvement of operational processes.
• Work closely with Agile squads, functional teams and production support teams to deliver high-quality solutions and business value.
• Follow software engineering and data development best practices to ensure robust, maintainable and production-ready solutions.
Requirements
Department: Engineering & Development IT
Function: Consulting
Experience Level: Mid-Senior Level