Job Description

We are looking for a Data Engineer to explore design. The ideal candidate should hold an advanced degree in a quantitative discipline and has experience in Python, AWS environment. The position requires good communication skills ability to work together in cross-functional technical teams in different areas of the organization.

Key Responsibilities

• Designing, building, and maintaining scalable and efficient data pipelines to collect, process, and store data from various sources.
• Developing and managing Extract, Transform, Load (ETL) processes to ensure data is transformed and loaded into data warehouses or data lakes.
• Integrating data from multiple heterogeneous sources, including APIs, databases, and third-party platforms.
• Using cloud platforms (e.g., AWS, Azure, GCP) and big data tools (e.g., Hadoop, Spark) to manage and process large volumes of data efficiently.

Skills Required

• Proficient in Java or Python APIs and SQL with experience in the data space (data integration/ transformation jobs)
• Experience with Cloud technologies including AWS EKS Kubernetes etc.
• Strong understanding of CI/CD tools such as GitHub Jenkins Artifactory uDeploy DataDog deploying applications in a DevOps environment
• Data Management capabilities exposure at least one position of the two needs to have this skill.
• Nice to have exposure to NiFi Snaplogic3- 5 years experience with the below required soft skills as well.
• Good data engineering knowledge, Solves difficult problems utilizing the data skill, Guides / teaches other data engineers.
• Expert data and process modeling knowledge.
• Performs complex tasks independently reaching out in & out side the team scope and contribute in discussions.

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.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

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.

Applicants for employment in Canada 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.
Equal Employment Opportunity is the Law - Capgemini
Equal Employment Opportunity is the LawPrivate Employers, State and Local Governments, Educational Institutions, Employment Agencies and Labor