Optimum - Data Engineer GCP

Capgemini; New York (NY); Hybrid; USD 77,000 - 151,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Paid time off

Job summary

Capgemini is seeking a GCP Data Engineer in a hybrid role based in Atlanta, GA. You will design and maintain scalable data pipelines on BigQuery, build DBT models, and write complex SQL to support analytics and reporting.

The role requires strong SQL, a solid understanding of data warehousing, and Python scripting for automation. Collaboration with data teams and governance compliance is essential.

Qualifications

• Bachelor's degree in a related field.
• 5+ years of data engineering experience.
• Strong SQL skills and data warehousing knowledge.

Responsibilities

• Design, build, and maintain scalable data pipelines on GCP (BigQuery).
• Develop and manage DBT models for transformed datasets.
• Write complex SQL for data extraction and analytics.
• Collaborate with analysts and stakeholders to meet data needs.
• Automate workflows with Python and ensure data governance.

Skills

GCP Data Engineer

BigQuery

DBT

SQL

Python

Telco Data

Education

Bachelor's degree in CS/IS

Tools

DBT

BigQuery

Git

Python

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.Job Location:This is a hybrid role in Atlanta, GA.About the job you're consideringWe are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be experienced in DBT for data transformation and modeling. This role requires strong SQL skills, a solid understanding of data warehousing concepts, and light proficiency in Python for scripting and automation. Strong understanding of Telco - CES and Network Data. Calls, Chats, Network data.Your roleDesign, build, and maintain scalable data pipelines on GCP, primarily using BigQuery.Nice to have the experience to 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.Skills and experienceBachelor's degree in Computer Science, Information Systems, or a related field.5 years of experience in data engineering or a similar role.Strong expertise in SQL with the ability to write efficient, complex queries.Nice to have knowledge in DBT for data modeling and transformationHands-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.'The base compensation range for this role in the posted location is: $76,730 - $150,800.Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.It is not typical for candidates to be hired at or near the top of the posted compensation range.In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: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 LeaveMedical, 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 insuranceEmployee assistance programsOther benefits as provided by local policy and eligibilityImportant Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.DisclaimersCapgemini 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-lawCapgemini 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.