GCP Data Engineer - Python

# GCP Data Engineer - Python Columbia Apply  for this job
* Permanent* Experienced Professionals
* Data & AI
* -en US 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 - Charlotte NC (Day One Onsite - Hybrid)##

Key Responsibilities
* We are looking for a motivated Data Engineer with experience on Google Cloud Platform GCP using Python programming
* This role is ideal for someone eager to build scalable data pipelines and grow in distributed data processing and cloud technologies## Required Skill
* Good understanding Python programming
* Exposure to GCP services such as IAM KMS GCS Big Query Big Lake Bigtable Cloud Composer GKE Cloud SQL Cloud Functions Data Catalog Dataplex  Dataproc and Dataflow.
* Familiarity with Git for version control
* Clear understanding of CICD concepts
* Strong problem solving and debugging skills
* Troubleshoot provisioning issues related to IAM permissions API enablement quotas state management dependencies or resource conflicts
* Optimize logging and monitoring configurations to balance observability cost efficiency and operational performance## Life At Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
* Flexible work
* Healthcare including dental, vision, mental health, and well-being programs
* Financial well-being programs such as 401(k) and Employee Share Ownership Plan
* Paid time off and paid holidays
* Paid parental leave
* Family building benefits like adoption assistance, surrogacy, and cryopreservation
* Social well-being benefits like subsidized back-up child/elder care and tutoring
* Mentoring, coaching and learning programs
* Employee Resource Groups
* Disaster Relief## 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  Salary Transparency The primary focus is to help organizations design, develop, and optimize their data infrastructure and systems. They help organizations enhance data processes, and leverage data effe Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future.

The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or…