Senior Data Engineer Consultant
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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. At Keystone Solutions, we value our consultants as K-Stones, bringing core values to every engagement. If you are ready to tackle technical and strategic challenges in a dynamic consultancy environment, apply today at Keystone Solutions Career Portal.
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