Job Description

Job Title Azure Data Engineer working 3 days in North York, Ontario
:

• Design and implement scalable data pipelines and transformation primarily using Databricks. Nice to have experience on Microsoft Fabric tools such as Azure Data Factory, PySpark notebooks, Spark SQL, and Python.
• Develop ETL processes to extract, transform, and load data from diverse sources into data warehouses or analytical systems within Databricks.
• Optimize big data processing workflows to enhance 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 create 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 and its 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, particularly Azure

Life at Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:

• Flexible work
• Healthcare including dental, vision, mental health, and well-being programs
• Paid time off and paid holidays
• Paid parental leave
• Family building benefits like adoption assistance, surrogacy, and cryopreservation
• Social well-being benefits like subsidized back-up child/elder care and tutoring
• Mentoring, coaching and learning programs
• Employee Resource Groups
• Disaster Relief

About Capgemini
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to
engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of xe2x82xac22.1 billion.
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Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
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Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in Canada by Capgemini. '