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Spark Engineer

Full-time

Capgemini

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 Description

0AT27R Wells Fargo WF_CDO_DSS_Spark_System Engineer (US L4) Charlotte US B2 ID-FSNA "ClientTeam Overview
Our financial services client oversees within a large US bank with presence internationally the Data Pipelines and Automation Services within a Chief Data Office The team our client is leading is responsible for enterprise data platform modernization initiatives spanning data movement automation platform engineering and operational transformation The client is responsible for the bank for enterprise ETL platforms data pipeline frameworks and automation services that enable secure governed and scalable data delivery across hybrid cloud environments The team is executing strategic modernization programs including legacy platform retirement cloudnative platform adoption containerization CICD implementation and operational process automation The team for this project is leading the development of a greenfieldbest of breed from scratch nextgeneration enterprise data pipeline platform that unifies data engineering standards governance lineage and deployment across multiple data processing technologies and environmentsThe project team is building a platform to unify data pipeline execution across the enterprise and leading greenfield platform that requires for engineer roles on the team a strong understanding of APIs Python Sparkflow DocketK8s Automated CICD with Github Actions or other tools composable services data governance and distributed systems The goal is to turn complex systems into clean reusable services via Python

Role Overview
Seeking a System Engineer US L4 to support a greenfield platform initiative with a focus on building integrations with Spark Engine and Spark Flow This role requires strong expertise in system design and development distributed computing and API integrations along with the ability to work independently with minimal guidance in a highly regulated enterprise environment
Key Responsibilities
Design and develop scalable integrations with Spark Engine and Spark Flow for the Unity platform
Develop and consume RESTful APIs and services to enable seamless system interoperability
Work with largescale distributed compute frameworks to process and manage highvolume data
Drive performance tuning optimization and scalability improvements

Qualifications
Experience with Apache Spark Spark Engine Spark Flow
Familiarity with big data ecosystems Hadoop Hive SQL Kafka
Exposure to cloud platforms AWS Azure or GCP
Handson experience building and integrating APIs and microservices
Strong problemsolving and debugging skills"

The base compensation range for this role in the posted location is: 62,000 - 72,000

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.  

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.

Vacancy posted 10 hours ago
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