Job Description
- Design and implement scalable data pipelines and transformations primarily using Databricks. Experience with Microsoft Fabric tools such as Azure Data Factory, PySpark notebooks, Spark SQL, and Python is a plus.
- Develop ETL processes to extract, transform, and load data from various sources into data warehouses or analytical systems within Databricks.
- Optimize big data processing workflows to improve performance and efficiency using Databricks capabilities.
- Ensure data security and compliance with data privacy regulations throughout the data engineering process.
- Collaborate with stakeholders to gather requirements and develop technical solutions using Microsoft Fabric.
Key Skills
- Proficiency in SQL and Python for data modeling and querying within Microsoft Fabric.
- Experience with Databricks and Microsoft Fabric components like Azure Synapse, Data Lake, and Databricks.
- Knowledge of data warehousing and data governance within the Fabric ecosystem.
- Understanding of ETL development and data transformation processes using Fabric tools.
- Familiarity with cloud-based data engineering solutions, especially Azure.
Life at Capgemini
Capgemini supports all aspects of your well-being throughout your career and life stages. For eligible employees, we offer:
- Flexible work arrangements
- Healthcare including dental, vision, mental health, and well-being programs
- Paid time off and holidays
- Paid parental leave
- Family building benefits such as adoption assistance, surrogacy, and cryopreservation
- Social well-being benefits like subsidized backup child/elder care and tutoring
- Mentoring, coaching, and learning programs
- Employee Resource Groups
- Disaster Relief support
About Capgemini
Capgemini is a global leader in business and technology transformation, helping organizations accelerate their digital and sustainable transitions while creating tangible impact. With a heritage of over 55 years, Capgemini employs more than 50,000 professionals across 50+ countries. It leverages strengths in AI, generative AI, cloud, and data, combined with deep industry expertise and a strong partner ecosystem. The group reported revenues of €22.1 billion.
Join us to shape the future you want.
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