Senior Java Spark Developer

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

Oracle (SQL)

Role Overview

We are seeking a Senior Java & Apache Spark Developer to design, develop, and support large-scale enterprise applications and distributed data processing solutions. The ideal candidate will have strong experience with Core Java, Apache Spark, SQL, and high-volume data environments, along with the ability to optimize performance and solve complex technical problems.

Key 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.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, or a 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 understanding of object‑oriented programming, design patterns, and software engineering best practices.
• Experience working with Linux/Unix environments and Git.
• Strong analytical, troubleshooting, and communication skills.

Technical Skills

• Multithreading & Concurrency
• Apache Spark, Spark SQL, DataFrames, and Datasets
• SQL and Database Optimization
• Oracle, SQL Server, PostgreSQL, or MySQL
• Git, Maven/Gradle, CI/CD
• Agile Methodologies

Preferred Qualifications

• Databricks
• Kafka or Spark Streaming
• Azure, AWS, or Google Cloud Platform
• Delta Lake and Lakehouse architectures
• Python
• Docker and Kubernetes
• Airflow
• AI coding assistants and GenAI development concepts

The pay range that the employer in good faith reasonably expects to pay for this position is $27.41/hour - $42.82/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.