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Developer; Spark and Scala Exp

Job in Toronto, Ontario, C6A, Canada
Listing for: Confiar Services
Seasonal/Temporary position
Listed on 2026-09-24
Job specializations:
  • Software Development
    Java Developer, Software Engineer, Data Engineering
Salary/Wage Range or Industry Benchmark: 110000 - 150000 CAD Yearly CAD 110000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Developer (Spark and Scala Exp)

Job Title:
Spark with Scala Developer (Java Background)

Location:
Toronto, Canada

Duration:
Long Term Contract

Job Summary

We are looking for an experienced Spark with Scala Developer with a strong Java background to design, develop, and optimize large-scale data processing applications. The ideal candidate will leverage their Java expertise and transition seamlessly into Scala-based Spark development, building high-performance, scalable, and reliable data solutions.

Key Responsibilities
  • Design and develop big data applications using Apache Spark and Scala.
  • Build and optimize ETL/data processing pipelines for large datasets.
  • Develop scalable, high-performance solutions on distributed data platforms.
  • Utilize Java expertise to enhance Spark applications and integrate existing Java libraries.
  • Troubleshoot performance issues and optimize Spark jobs.
  • Work closely with data engineers, architects, and business stakeholders.
  • Ensure code quality through testing, code reviews, and best practices.
  • Participate in system design, performance tuning, and production support.
Required Skills
  • 5+ years of software development experience.
  • Strong hands-on experience with Java development.
  • Experience with Apache Spark and Scala.
  • Good understanding of distributed computing concepts.
  • Knowledge of JVM internals, memory management, and performance tuning.
  • Experience with SQL and large-scale data processing.
  • Familiarity with Hadoop ecosystem and cloud platforms is a plus.
  • Strong problem-solving and analytical skills.
Preferred Qualifications
  • Experience with Databricks, Kafka, or streaming technologies.
  • Exposure to AWS, Azure, or Google Cloud platforms.
  • Knowledge of CI/CD, Git, and Agile methodologies.
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