Java Spark Developer

Capgemini
United States
17 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Compensation
$80,000.0 - $90,000.0
Working hours
Regular working hours
Job source

Tech stack

Clean Code Principles Java (Programming Language) Agile Methodology Big Data Code Review Relational Databases Software Design Patterns DevOps Distributed Computing Environment Enterprise Messaging Systems Object-Oriented Software Development Oop Languages
+7 more
Data Processing Apache Spark Containerization Apache Kafka Restful APIs Databricks Microservices

Job description

  • We are looking for a Senior Java Spark Developer who is passionate about coding building scalable systems and driving engineering excellence to support the transformation and modernization of Citis data processing platforms
  • This role is ideal for someone who takes pride in writing clean efficient highquality code enjoys solving complex distrib data problems and is motivated to build robust scalable and maintainable systems You will play a key role in translating business requirements into productiongrade solutions while continuously improving platform performance reliability a development practicesResponsibilities
  • Design and develop scalable highperformance applications using Java and Apache Spark
  • Translate business requirements into clean efficient and reliable technical solutions
  • Write modular testable and maintainable code following OOP principles and design patterns
  • Continuously refactor and optimize applications for performance scalability and maintainability
  • Troubleshoot and resolve complex data processing and performance issues
  • Perform and participate in code reviews promoting engineering best practices
  • Collaborate with architects product owners DevOps and Agile teams for highquality delivery
  • Mentor junior developers and contribute to a culture of craftsmanship and continuous improvement

Requirements

  • 7 years of handson experience in Java and Apache Spark Big Data development
  • Strong foundation in objectoriented programming design patterns and clean coding practices
  • Proven experience building and optimizing largescale distributed data processing systems
  • Experience with REST APIs RDBMS and Kafka or similar messaging systems
  • Exposure to microservices and containerization DockerKubernetes is preferred
  • Experience in Databricks is preferred
  • Familiarity with or interest in Alpowered solutions Al agents is a plus
  • Experience working in Agile environments with strong collaboration and ownership mindset’

Benefits & conditions

The base compensation range for this role in the posted location is: 80,000 - 90,000

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.

About the company

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., 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.

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