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About the Role

Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery. Develop and manage DBT models to transform raw data into clean, tested, and documented datasets. Write complex and optimized SQL queries for data extraction, transformation, and analysis. Implement and maintain data warehousing solutions, ensuring performance, scalability, and reliability. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions. Monitor and troubleshoot data pipeline performance and data quality issues. Automate data workflows and tasks using Python scripts where necessary. Ensure data governance, security, and compliance standards are met.

Responsibilities

Design, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.
Develop and manage DBT models to transform raw data into clean, tested, and documented datasets.
Write complex and optimized SQL queries for data extraction, transformation, and analysis.
Implement and maintain data warehousing solutions, ensuring performance, scalability, and reliability.
Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality solutions.
Monitor and troubleshoot data pipeline performance and data quality issues.
Automate data workflows and tasks using Python scripts where necessary.
Ensure data governance, security, and compliance standards are met.

Requirements

Bachelor's degree in Computer Science, Information Systems, or a related field.
4-5 years of experience in data engineering or a similar role.
Strong expertise in SQL with the ability to write efficient, complex queries.
Proficiency in DBT for data modeling and transformation.
Hands-on experience with BigQuery and other GCP data services.
Solid understanding of data warehousing principles and best practices.
Basic to intermediate skills in Python for scripting and automation.
Familiarity with version control systems like Git.
Excellent problem-solving and communication skills.

Skills

Google Cloud Platform (GCP)
BigQuery
DBT (Data Build Tool)
SQL
Data Warehousing
Python
Git

Experience Level

4-5 years of experience in data engineering or a similar role

Education Level

Bachelor's degree in Computer Science, Information Systems, or a related field

Salary/Compensations

$83,951 to $156,310

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 (or provincial healthcare coordination in Canada)
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