Senior Java Spark Engineer, Data Pipelines & AI-Enabled Dev
Capgemini
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Job summary
Capgemini in Montreal is seeking a senior software engineer to design, develop, and maintain high-performance Java applications and data processing pipelines using Apache Spark. You will build scalable backend services, optimize Spark workloads, and contribute to architectural decisions within a distributed team.
The role requires 7+ years of experience in Java and big data, strong SQL skills, and proficiency with Linux, Git, and CI/CD.
Qualifications
- Bachelor's degree required in a relevant field.
- 7+ years of professional software development experience.
- Strong expertise in Core Java development.
- Hands-on experience with Apache Spark and big data processing.
- Strong SQL development and data modeling knowledge.
- Experience building enterprise-grade distributed systems.
- Linux/Unix proficiency and Git experience.
Responsibilities
- Design, develop, and maintain high-performance Java applications and data processing solutions.
- Build scalable backend services and distributed processing pipelines using Core Java and Apache Spark.
- Engage in architecture discussions and contribute to technical design decisions.
- Collaborate with data engineers and analysts to meet business needs.
Skills
Education
Tools
Job description
Capgemini in Montreal is seeking a senior software engineer to design, develop, and maintain high-performance Java applications and data processing pipelines using Apache Spark. You will build scalable backend services, optimize Spark workloads, and contribute to architectural decisions within a distributed team.
The role requires 7+ years of experience in Java and big data, strong SQL skills, and proficiency with Linux, Git, and CI/CD.
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