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About the Role
Join Capgemini to empower your career, be supported by a global community, and reimagine what's possible. Help leading organizations unlock technology's value to build a more sustainable and inclusive world.
Responsibilities
- Design, develop, and maintain data pipelines using Apache Airflow DAGs.
- Build and optimize ETL/ELT workflows using Databricks (PySpark/Spark).
- Develop and manage data warehousing solutions in Snowflake and SQL.
- Lead technical design, code reviews, performance tuning, and production support.
- Collaborate with cross-functional teams to deliver reliable and high-quality data solutions.
- Mentor team members and drive engineering best practices.
Requirements
- 10-12+ years of Data Engineering experience
- Experience in production Support environment with rotational shift
- Experience with Agile methodologies, Git, and CI/CD practices
Experience Level
- 10-12+ years
Salary/Compensations
- 98,890 - 140,720
Benefits
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
- Company paid holidays
- Personal Days
- Sick Leave
- Medical, dental, and vision coverage
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
About the Company
- 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.
Equal Opportunity
- Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace.
- Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.
- We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment.
- 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 accommodation does not pose an undue hardship.
- Capgemini is committed to providing reasonable accommodation during our recruitment process.
- If you need assistance or accommodation, please reach out to your recruiting contact.
- Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
- Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law