Bachelors Degree or equivalent in a technology related field eg Computer Science Engineering etc required
5 to 9 years of demonstrable experience in full stack engineering
Proven experience designing building and deploying data pipelines ETLELT workflows and AIML data solutions including experience supporting model development and productionization
Experience designing and consuming datacentric APIs and microservicesto support AIML model integration and downstream analytics use cases
Experience designing and implementing data architectures supporting AIML workloads and model data pipelines
Outstanding Python and SQL skills with deep experience in data engineering
Extensive experience working with cloudbased data platformsAWS Microsoft Azure with exposure to Snowflakebased data warehousing
Consistent record of accomplishment of working in collaborative teams to deliver high quality data engineering and analytics solutionsin a multideveloper agile environment following coding standard methodologies and DevOps practices
Strong analytical technical and problemsolving skills to understand complex customer needs and transactions
Ability to learn and experiment with new technologies and patterns'
The base compensation range for this role in the posted location is: 75000 to 96900
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.
