Position Title: Spark Scala Developer

Location: Montreal, Canada _ Hybrid

Job Type: Contract

Experience: 7-10 Years

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Job Description:

We are seeking an experienced Scala/Spark Developer with a strong background in distributed computing and a passion for solving complex data problems. The ideal candidate will have 7-10 years of experience in back-end development, particularly using Scala and Apache Spark in production environments. This role demands a self-motivated, hands-on technologist who thrives in a fast-paced, Agile environment.

Key Responsibilities:

• Develop scalable, reliable, and high-performance data processing applications using Scala and Apache Spark
• Build, test, and deploy code following Agile and CI/CD practices
• Optimize Spark jobs for large-scale data pipelines and troubleshoot performance issues
• Collaborate with cross-functional teams including Data Engineers, Architects, and Product Owners
• Follow clean code practices, write unit tests, and contribute to automated testing frameworks
• Participate in design discussions and code reviews, ensuring code quality and system scalability
• Stay current with emerging tools and technologies in the big data ecosystem

Must-Have Skills:

• Strong hands-on experience with Scala
• Proven expertise in Apache Spark for distributed data processing
• Proficiency in object-oriented and functional programming
• Strong debugging and performance tuning skills in Spark/Scala applications
• Experience with unit testing, Git, and continuous integration tools
• Exposure to Agile/Scrum development practices
• Excellent problem-solving and communication skills

Good to Have:

• Experience with cloud platforms (AWS, GCP, or Azure)
• Knowledge of other Big Data technologies like Kafka, Hive, or HDFS
• Experience working in the finance or telecom domain is a plus