Job Location Job Location - Job is located in NY / NC - Onsite Hybrid
Your Role We are seeking a highly skilled GCP Platform Engineer with strong Python development and Data Engineering expertise to design build automate and support cloud native data platforms on Google Cloud Platform GCP The ideal candidate will have experience designing platform for scalable data pipelines implementing cloud infrastructure and enabling enterprise analytics and AIML workloads
Key ResponsibilitiesDesign implement and maintain scalable cloud infrastructure on Google Cloud Platform GCP
Develop Infrastructure as Code IaC solutions using Terraform
Automate cloud provisioning deployment and monitoring processes
Implement security governance networking and IAM best practices
Support DR Design and build batch and realtime data pipelines
Build and optimize data lakes and data warehouses
Ensure data quality lineage governance and observability
Develop Pythonbased POC solutions for new requests
Troubleshoot tenant issues and perform root cause analysis
Support platform upgrades and cloud modernization initiatives
Collaborate with analytics AIML network internal products and business teams to support data consumption
Required Technical SkillsCloud Storage Big Query Cloud Composer Airflow Cloud Functions Gen2 Cloud Run PubSub Dataflow Dataproc Cloud SQL IAM VPC Networking Cloud Monitoring Logging
Python Programming advanced
SQL advanced
Shell scriptingBash
ETLELT design and implementation
Data Engineering Data warehousing concepts Experience with data mesh or Lakehouse architectures
Required Experience5 years of cloud engineering experience
3 years of Google Cloud Platform experience
3 years of Python development experience
3 years of Data Engineering experience
We are seeking a highly skilled GCP Platform Engineer with strong Python development and Data Engineering expertise to design build automate and support cloud native data platforms on Google Cloud Platform GCP The ideal candidate will have experience designing platform for scalable data pipelines implementing cloud infrastructure and enabling enterprise analytics and AIML workloads
Key ResponsibilitiesDesign implement and maintain scalable cloud infrastructure on Google Cloud Platform GCP
Develop Infrastructure as Code IaC solutions using Terraform
Automate cloud provisioning deployment and monitoring processes
Implement security governance networking and IAM best practices
Support DR Design and build batch and realtime data pipelines
Build and optimize data lakes and data warehouses
Ensure data quality lineage governance and observability
Develop Pythonbased POC solutions for new requests
Troubleshoot tenant issues and perform root cause analysis
Support platform upgrades and cloud modernization initiatives
Collaborate with analytics AIML network internal products and business teams to support data consumption
Required Technical SkillsCloud Storage Big Query Cloud Composer Airflow Cloud Functions Gen2 Cloud Run PubSub Dataflow Dataproc Cloud SQL IAM VPC Networking Cloud Monitoring Logging
Python Programming advanced
SQL advanced
Shell scriptingBash
ETLELT design and implementation
Data Engineering Data warehousing concepts Experience with data mesh or Lakehouse architectures
Required Experience5 years of cloud engineering experience
3 years of Google Cloud Platform experience
3 years of Python development experience
3 years of Data Engineering experience
The base compensation range for this role in the posted location is: 80420 -106050
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.
