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GCP Data Engineer

Responsibilities

  • Contribute to the migration of legacy data warehouse to a google cloud-based data warehouse for a Telecom Major..
  • Collaborate with Data Product Managers, Data Architects to design, implement, and deliver successful data solutions
  • Help architect data pipelines for the underlying data warehouse and data marts
  • Design and develop very complex ETL pipelines in Google cloud Data environments.
  • Our legacy tech stack includes Teradata and new tech stack includes GCP Cloud Data Technologies like BigQuery and Airflow and languages include  SQL , Python
  • Maintain detailed documentation of your work and changes to support data quality and data governance
  • Support  QA and UAT data testing activities
  • Support Deployment activities to higher environments
  • Ensure high operational efficiency and quality of your solutions to meet SLAs and support commitment to our customers (Data Science, Data Analytics teams)
  • Be an active participant and advocate of agile/scrum practice to ensure health and process improvements for your team

 

Basic Qualifications

  • 8+ years of data engineering experience developing large data pipelines in very complex environments
  • Very Strong SQL skills and ability to build Very complex transformation data pipelines using custom ETL framework in Google BigQuery environment
  • Exposure to Teradata and ability to understand complex Teradata BTEQ scripts
  • String Python programming skills
  • Strong Skills on build Airflow Jobs and Debug issues
  • Ability to Optimize the Query in BigQuery
  • Hands-on experience on Google Cloud data Technologies ( GCS , BigQuery, Dataflow, Pub sub, Data Fusion , Cloud Function)

 

Preferred Qualifications

  • Experience with cloud data warehouse technology BigQuery.
  • Nice to have experience with Cloud technologies like GCP (GCS , Data Proc, Pub/sub, Data flow, Data Fusion, Cloud Function)
  • Nice to have exposure to Teradata
  • Solid experience with Job Orchestration Tools like Airflow and ability to build complex Jobs.
  • Writing and maintaining large Data Pipelines using Custom ETL framework
  • Ability to Automate Jobs using Python
  • Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and practices
  • Very good experience with Code Version control repository  like Github
  • Good Scripting skills, including Bash scripting and Python
  • Familiar with Scrum and Agile methodologies
  • Problem solver with strong attention to detail and excellent analytical and communication skills
  • Ability to work in Onsite / Offshore model  and able to lead a Team.

Job Description

Data engineers are responsible for building reliable and scalable data infrastructure that enables organizations to derive meaningful insights, make data-driven decisions, and unlock the value of their data assets.

Job Description - Grade Specific

The involves leading and managing a team of data engineers, overseeing data engineering projects, ensuring technical excellence, and fostering collaboration with stakeholders. They play a critical role in driving the success of data engineering initiatives and ensuring the delivery of reliable and high quality data solutions to support the organizations data driven objectives.

The base compensation range for this role in the posted location is:$76,200 to $187,740

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 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

Important 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.

 

Disclaimers

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

 

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.

 

Ref. code:  396972
Posted on:  30 Jan 2026
Experience Level:  Experienced Professionals
Contract Type:  Permanent
Location: 

New York, NY, US

Brand:  Capgemini
Professional Community:  Data & AI


Nearest Major Market: Manhattan
Nearest Secondary Market: New York City

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