Full-time jobs in Oakville, Ontario

Find full-time jobs in Oakville, Ontario and nearby towns within 25 km. Read the full details and apply.

Newest first

Within 25 km of Oakville

Added 1 day ago
Service Coordinator
Ingersoll Rand
Mississauga, ON
Added 1 day ago
Human Resources Analyst
Linde
Mississauga, ON
Added 1 day ago
B
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Mississauga, ON
- $65,000 to $75,000 CAD / year
Added 1 day ago
Customer Service Representative
Food Service Solutions Canada
Milton, ON
Added 1 day ago
SC
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Staples Canada
Mississauga, ON
- $19 USD / hour
Added 1 day ago
Spark Developer (With Java)
Capgemini
Mississauga, ON
Added 1 day ago
Office Manager
EBC Inc.
Mississauga, ON
Added 1 day ago
Document Control Coordinator
EBC Inc.
Mississauga, ON
Added 1 day ago
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Trillium Health Partners
Mississauga, ON
Added 1 day ago
Operating Engineer Trainee I (Term - Up to 12 Months)
University of Toronto
Mississauga, ON
Added 1 day ago
Delivery Driver - Burlington (Temporary)
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Burlington, ON
Added 1 day ago
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Mississauga, ON
- $19.65 to $22.15 CAD / hour
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Business Development Manager
Grantek Systems Integration
Burlington, ON
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Burlington, ON
Added 1 day ago
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Burlington, ON
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Mississauga, ON
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Mississauga, ON
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Mississauga, ON
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Mississauga, ON
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Key Account Manager, Quebec & Eastern Region
Shearer's Foods
Mississauga, ON
Added 1 day ago
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Zanchin Automotive Group
Oakville, ON
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Junior Service Advisor - Acura of Oakville (26328)
Zanchin Automotive Group
Oakville, ON
Added 1 day ago
Senior Safety Specialist
Ganotec
Oakville, ON
Added 1 day ago
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Ganotec
Oakville, ON

Capgemini

Spark Developer (With Java)

Mississauga, ON, Canada

Full-time

Within 25 km of Oakville · About 14.1 km from the city centre

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Job details

Job type: Full-time
Apply by: Nov 22, 2026
Experience: Experience: 4 to 8 Years
Posted: Oct 23, 2026

Original job description

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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More about this job

Responsibilities

Design, develop, and maintain scalable Spark and Java applications and batch or near-real-time data pipelines. Optimize performance and resource use, troubleshoot production issues, and collaborate with teams to deliver reliable, high-quality data solutions.

Requirements

Requires strong Core Java skills, hands-on Apache Spark experience, knowledge of distributed computing and the Hadoop ecosystem, and strong SQL skills. Applicants need 4 or more years of software development experience, including at least 2 years developing applications with Spark and Java; a bachelor's or master's degree in a related field is listed.

Skills

Core Java
Apache Spark
Spark Core
Spark SQL
DataFrames
Dataset APIs
Distributed Computing
HDFS
Hive
Hadoop
SQL
Data Ingestion
Data Transformation
Linux/Unix
REST APIs
Git

Visa sponsorship

Not detected in the job text

Keywords

Apache Spark
Java 8
Java 11
Spark Core
Spark SQL
DataFrames
Dataset APIs
Distributed Computing
Big Data
HDFS
Hive
Hadoop Ecosystem
SQL
Relational Databases
Data Ingestion
Data Transformation
Batch Processing
Real-Time Data Pipelines
Spark Streaming
Kafka
Scala
PySpark
AWS
Azure
GCP
Airflow
Oozie
Delta Lake
Iceberg
Docker

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