Senior Java Spark Engineer — Big Data & AI Tools

Capgemini; Montreal (administrative region); On-site; CAD 38,000 - 59,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Retirement benefits

Job summary

Capgemini in Montreal, Canada, is seeking a Senior Java & Apache Spark Developer to design, develop, and support large-scale enterprise applications and distributed data processing solutions. The role emphasizes Core Java, Apache Spark, SQL, and working with high-volume data environments.

You will build and optimize batch and real-time pipelines, tune complex SQL, and collaborate across engineering teams. The ideal candidate has 7+ years of software development experience, Linux/Unix, Git, and

Qualifications

• Bachelor's degree in Computer Science, IT, Engineering, Mathematics, or related field.
• 7+ years of software development experience.
• Strong hands-on experience with Core Java and Apache Spark.
• Experience building distributed systems and large-scale data processing applications.
• Advanced SQL development and query optimization skills.
• Strong OO programming, design patterns, and software engineering best practices.
• Experience with Linux/Unix and Git.
• Strong analytical, troubleshooting, and communication skills.

Responsibilities

• Design, develop, and maintain Java-based applications and distributed processing solutions.
• Build and optimize batch and real-time data processing pipelines using Apache Spark.
• Develop, tune, and support complex SQL queries and database workloads.
• Process and analyze large-scale structured and unstructured datasets.
• Troubleshoot and resolve application, data, and performance issues.
• Participate in architecture discussions and technical design decisions.
• Collaborate with architects, product owners, analysts, and engineering teams.
• Contribute to code reviews, Agile ceremonies, development standards, and best practices.
• Utilize AI-assisted development tools to improve productivity and code quality.

Skills

Multithreading & Concurrency

Apache Spark, Spark SQL, DataFrames, &

SQL and Database Optimization

Oracle, SQL Server, PostgreSQL, or MyA

Git, Maven/Gradle, CI/CD

Agile Methodologies

Education

Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a related field

Tools

Databricks

Kafka

Spark Streaming

Azure, AWS, or Google Cloud Platform

Delta Lake and Lakehouse

Python

Docker and Kubernetes

Airflow

GenAI development concepts

Job description

Capgemini in Montreal, Canada, is seeking a Senior Java & Apache Spark Developer to design, develop, and support large-scale enterprise applications and distributed data processing solutions. The role emphasizes Core Java, Apache Spark, SQL, and working with high-volume data environments.

You will build and optimize batch and real-time pipelines, tune complex SQL, and collaborate across engineering teams. The ideal candidate has 7+ years of software development experience, Linux/Unix, Git, and