Java Spark Developer

Capgemini • Montreal, QC

1d • CA$70,000 - CA$95,000 • Onsite

About The Position

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.

Requirements

• 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.
• 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

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior