About the position
Mission Overview
Keystone Solutions is seeking a Senior Data Engineer with expertise in the Azure Data environment for a consultancy mission at a client site. This role involves working closely with the Data Management team to enhance their capabilities in data governance and tooling.
Key Responsibilities
- Analyze, implement, and maintain ETL processes using Data Factory, mapping Data Flow, and PySpark in Databricks based on functional requirements.
- Prepare and execute testing activities.
- Design performant solutions.
- Fix bugs in pipelines during daily operations.
As a consultant representing Keystone Solutions, you will engage in dynamic projects that offer diverse challenges across various client environments, ensuring a turbo-charged learning experience and opportunities for career growth.
Requirements
- Education: Master’s degree in Informatics or equivalent experience.
- Language Skills: Fluent in English; proficiency in Dutch and/or French is preferred.
- Personal Skills: Must work well independently and collaboratively, solution-driven, strong problem-solving skills, proactive, and flexible.
- Business Experience: 2-5 years in analytics use cases; experience in the insurance or financial domain is a plus.
- Technical Experience: 2-5 years in Azure Cloud Data platform, DevOps, Azure Data Skills (Data Lake Gen2, Synapse), DataBricks, Data Factory, Python, Data Flow, and Power BI.
- Functional Experience: Database modeling via tools like Erwin or Visio; ability to interact with business teams and translate business requirements into functional and technical requirements.