Azure Data Engineer — Big Data, Databricks & DWH Expert
Capgemini
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Benefits offered by this job
Job summary
Capgemini is seeking a Senior Azure Data Engineer to design and implement Azure-based data solutions handling large and unstructured datasets. You will work with Azure Databricks, Data Factory, Data Lake Gen2 and participate in building DWH/Big Data architectures within a CD/CI environment.
You will mentor junior engineers, collaborate with solution architects, and apply best practices across Python/SQL, Power BI, and API Azure, while enjoying a hybrid work model and extensive training
Qualifications
- Experience designing and implementing Azure Data solutions for large datasets.
- Practical knowledge of Python and SQL; Azure cloud services across compute/storage.
- Azure certifications (DP-900/DP-200/201/AZ-204/AZ-400) preferred.
Responsibilities
- Design and implement Azure Data solutions for large/unstructured data.
- Leverage Azure Databricks and related services for processing, analytics, ML.
- Collaborate with solution architects to promote data engineering best practices.
- Implement, optimize and test DWH/Big Data on Azure with CI/CD pipelines.
- Drive data processing efficiency and migrations to cloud; mentor juniors.
Skills
Education
Tools
Job description
Capgemini is seeking a Senior Azure Data Engineer to design and implement Azure-based data solutions handling large and unstructured datasets. You will work with Azure Databricks, Data Factory, Data Lake Gen2 and participate in building DWH/Big Data architectures within a CD/CI environment.
You will mentor junior engineers, collaborate with solution architects, and apply best practices across Python/SQL, Power BI, and API Azure, while enjoying a hybrid work model and extensive training
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