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 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.

Long Description

• Key ResponsibilitiesApplication Development
• Design, develop, and maintain high-performance Java-based applications and data processing solutions.
• Build scalable backend services and distributed processing frameworks using Core Java and Apache Spark.
• Develop reusable, maintainable, and testable code following software engineering best practices.
• Participate in architecture discussions and contribute to technical design decisions.
• Data Engineering & Distributed Computing
• Design and develop batch and real-time data processing pipelines using Apache Spark.
• Process and analyze large-scale datasets efficiently across distributed environments.
• Optimize Spark jobs for performance, scalability, resource utilization, and reliability.
• Work with structured, semi-structured, and unstructured data sources.
• Develop data transformation, enrichment, and aggregation solutions to support business analytics and operational needs.
• Database & SQL Development
• Design, develop, and optimize complex SQL queries.
• Analyze large datasets and identify opportunities for improving data quality and performance.
• Perform query tuning and database optimization for high-volume workloads.
• Collaborate with data architects and business stakeholders to define data models and processing requirements.
• Analytical & Problem-Solving
• Analyze business requirements and translate them into scalable technical solutions.
• Conduct root-cause analysis for production issues and implement long-term fixes.
• Identify performance bottlenecks within applications, Spark workloads, and database systems.
• Support data validation, quality assurance, and reconciliation efforts.
• AI-Assisted Development & Emerging Technologies
• Leverage modern AI-assisted development tools to improve engineering productivity and code quality.
• Build and support applications through effective prompt engineering, contextual data management, and foundational model evaluation.
• Participate in testing and validation of AI-enabled workflows and solutions.
• Collaborate with teams exploring generative AI and intelligent automation use cases.
• Collaboration & Leadership
• Collaborate with architects, product owners, data engineers, analysts, and business stakeholders.
• Mentor junior developers and provide technical guidance across projects.
• Participate in Agile ceremonies including sprint planning, estimation, code reviews, and retrospectives.
• Contribute to engineering standards, documentation, and best practices.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field.
• 7+ years of professional software development experience.
• Strong expertise in Core Java application development.
• Hands-on experience developing and optimizing Apache Spark applications.
• Experience building enterprise-grade distributed systems and large-scale data processing solutions.
• Strong understanding of object-oriented programming principles and software design patterns.
• Strong SQL development skills with experience writing and optimizing complex queries.
• Experience analyzing and manipulating large datasets.
• Knowledge of data modeling and data pipeline design principles.
• Strong understanding of Linux/Unix environments.
• Experience with source control systems such as Git.
• Technical Skills
• Programming
• Core Java (Java 8/11/17+)
• Collections Framework
• Multithreading & Concurrency
• JVM Performance Tuning
• Object-Oriented Design
• Big Data & Distributed Processing
• Apache Spark
• Spark SQL
• Spark DataFrames and Datasets
• Distributed Computing Concepts
• Large-Scale Data Processing
• Performance Optimization
• Databases & Data Technologies
• SQL
• Oracle
• SQL Server
• PostgreSQL
• MySQL
• Data Warehousing Concepts
• Query Optimization
• Development & DevOps
• Git
• Maven / Gradle
• CI/CD Pipelines
• Linux / Unix

The base compensation range for this role in the posted location is: 70000 to 95000

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