Job LocationJob is located in Dallas, TX / Charlotte - Onsite Hybrid
Your Role Required Skills10 experience in IT with minimum 5 years in Data Engineering and 2 years in GCP
Strong hands-on experience in Python SQL Spark PySpark and UNIX Linux
Expertise in GCP Data Services Big Query Composer Airflow GCS Dataproc and Dataflow
Experience building batch and Realtime data pipelines using Kafka
Good understanding of Data Warehousing Data Lakes and Big Data platforms
Experience working with Oracle Exadata and onprem Big Data ecosystems
Hindson experience with workflow orchestration tools such as Airflow Composer and Autosys
Strong knowledge of GitHub GitHub Actions Harness and CICD practices
Experience deploying and managing workloads on OpenShift Container Platform OCP
Strong understanding of Event Driven Architecture EDA streaming platforms data governance and data quality practices
Ability to lead technical design discussions perform code reviews and mentor engineering teams
Experience leveraging AI build tools and building Agentic AI based solutions and utilities accelerators
ResponsibilitiesDesign develop and support scalable data pipelines and data platforms on GCP
Lead the implementation of batch and streaming data solutions
Drive cloud modernization and migration initiatives
Optimize data processing performance reliability and cost
Collaborate with architects business stakeholders and cross functional teams
Provide technical leadership to onshore and offshore engineering teams
PreferredGoogle Cloud Professional Data Engineer Certification
Experience in Banking or Financial Services domains
The base compensation range for this role in the posted location is: 110000 - 120000
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.
