Posted 19 days ago
Spark Developer (With Java)
@ Capgemini
Mississauga, Ontario
Overview
Capgemini is hiring a Spark Developer with strong Java skills to build and optimize large-scale data processing applications. The role involves batch and near real-time pipelines, Spark job tuning, and collaboration with engineers, architects and business stakeholders. The posting requires 4 to 8 years of experience and offers full-time employment in any location.
Responsibilities:
- Design and maintain Spark and Java data processing applications
- Build batch and near real-time data pipelines
- Optimize Spark jobs for performance and resource use
- Troubleshoot production issues and tune performance
Requirements summary:
- 4+ years software development, 2+ with Spark and Java
- Core Java 8 or above
- Apache Spark: Core, SQL, DataFrames, Datasets
- Experience with HDFS, Hive and Hadoop ecosystem
- Strong SQL and relational database skills
- Bachelor's or Master's in a related field
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-10-22
- First seen by our source
- 2026-11-11
- Source record updated
- 2026-11-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Mid level |
| Department | Software development |
| Experience | 4+ years |
| Hours per week | 40 (estimated) |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Education | Bachelor’s degree (required), Master’s degree (preferred) |
| Fields of study | Computer Science, Information Technology |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Capgemini
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Full company description
Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | www.capgemini.com
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Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organizations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise…
| Field | Value |
|---|---|
| Industry | IT Services and IT Consulting |
| Company size | 10,001+ employees |
| Headquarters | Paris, France |
| Organization type | Public Company |
| Specialties | OutsourcingProcess ConsultingPackage Based SolutionsCustom Solution DevelopmentApplication ManagementArtificial IntelligenceBusiness ConsultingCloudDigitalManaged Services |
| Open jobs on Jobsy | 194 |
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Job Title: Spark Developer (Java)
Experience: 4 to 8 Years
Location: Any
Employment Type: Full-time
Job Summary
We are seeking a highly skilled Spark Developer with strong Java expertise to design, develop, and optimize large-scale data processing applications. The ideal candidate will have hands-on experience with Apache Spark, Core Java, distributed computing, and big data technologies. The candidate will work closely with data engineers, architects, and business stakeholders to build scalable and high-performance data solutions.
Key Responsibilities
- Design, develop, and maintain scalable data processing applications using Apache Spark and Java.
- Develop batch and near real-time data pipelines for large datasets.
- Optimize Spark jobs for performance, memory management, and resource utilization.
- Write efficient and reusable code using Java 8/11 features.
- Work with distributed data processing frameworks and big data ecosystems.
- Collaborate with cross-functional teams to gather requirements and deliver data solutions.
- Troubleshoot production issues and provide performance tuning recommendations.
- Implement best practices for coding, testing, deployment, and monitoring.
- Participate in code reviews and technical design discussions.
- Ensure data quality, reliability, and scalability of applications.
Required Skills
- Strong programming experience in Core Java (Java 8 or above).
- Hands-on experience with Apache Spark (Spark Core, Spark SQL, DataFrames, Dataset APIs).
- Good understanding of distributed computing concepts.
- Experience with HDFS, Hive, Hadoop Ecosystem.
- Strong SQL skills and experience with relational databases.
- Experience with data ingestion and transformation frameworks.
- Familiarity with Linux/Unix environments.
- Knowledge of REST APIs and microservices architecture.
- Experience with Git and CI/CD processes.
Preferred Skills
- Experience with Spark Streaming, Kafka, Scala, or PySpark.
- Exposure to cloud platforms such as AWS, Azure, or GCP.
- Experience with Airflow, Oozie, or similar workflow orchestration tools.
- Understanding of Delta Lake, Iceberg, or Data Lake architectures.
- Knowledge of containerization tools such as Docker and Kubernetes.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
- 4+ years of software development experience.
- 2+ years of hands-on experience developing applications using Apache Spark and Java.
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