Java Spark Developer

Capgemini; Mississauga; On-site; CAD 110,000 - 160,000; Full time

Job summary

Capgemini in Mississauga, Canada, is seeking a Senior Java Spark Developer to design and develop scalable data processing platforms. You will translate business requirements into production-grade solutions while improving performance and reliability across the platform.

The role emphasizes clean, high-quality code, solve complex distributed data problems, and collaborate with cross-functional teams to deliver robust systems.

Qualifications

• 7 years of hands-on experience in Java and Apache Spark Big Data development.
• Experience with REST APIs, RDBMS and Kafka or similar messaging systems.
• Exposure to microservices and containerization (Docker, Kubernetes) is preferred.

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, DevOps and Agile teams for high quality delivery.
• Mentor junior developers and contribute to a culture of craftsmanship and continuous improvement.

Skills

Java

Apache Spark

OOP

Design patterns

Code reviews

Agile

Mentoring

Distributed systems

Tools

Docker

Kubernetes

Databricks

REST APIs

RDBMS

Kafka

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 high quality code enjoys solving complex distribute 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 DevOps and Agile teams for high quality delivery.
• Mentor junior developers and contribute to a culture of craftsmanship and continuous improvement.

Qualifications

• 7 years of hands on 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 largescale 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 Al powered solutions Al agents is a plus.
• Experience working in Agile environments with strong collaboration and ownership mindset.