Java Spark Developer

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 bya 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.

• 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 high quality 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 production grade solutions while continuously improving platform performance reliability a development practices Responsibilities
• Design and develop scalable high performance 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 Dev Ops and Agile teams for high quality delivery
• Mentor junior developers and contribute to a culture of craftsmanship and continuous improvement Qualifications
• 7 years of handson experience in Java and Apache Spark Big Data development
• Strong foundation in object oriented programming design patterns and clean coding practices
• Proven experience building and optimizing large scale distributed data processing systems
• Experience with REST APIs RDBMS and Kafka or similar messaging systems
• Exposure to microservices and containerization Docker Kubernetes 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"

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.

• Paid time off based on employee grade (A-F), defined by policy:
  Vacation: 12-25 days, depending on grade, Company paid holidays,…