Senior Big Data Developer (Spark / Scala / Java / Docker)

Job Title: Senior Big Data Developer (Spark / Scala / Java / Docker)

Company: Cogency

Location: Toronto

Work Model: Hybrid – 4 Days Office(Mandatory)

Interview Process: In-Person Technical Evaluation Required

Job Summary

Cogency is seeking a highly skilled and independent Senior Big Data Developer with strong hands-on expertise in Spark, Scala, Java, and Docker. The ideal candidate will design and build scalable big data solutions and provide hands-on support for production deployments and releases.

This role requires strong ownership, independent execution capability, and the ability to support end-to-end delivery in a fast-paced environment.

Key Responsibilities

• Design and develop large-scale data processing applications using Apache Spark
• Build, optimize, and maintain data pipelines using Scala and Java
• Process high-volume structured and unstructured datasets in distributed environments
• Develop scalable, reusable, and high-performance Spark jobs
• Containerize applications using Docker and support deployment processes
• Independently manage and support PROD releases, including deployment validation and post-release stabilization
• Troubleshoot production issues and perform root cause analysis
• Collaborate with architecture, DevOps, and data engineering teams
• Ensure performance tuning, code optimization, and adherence to best practices
• Maintain technical documentation and deployment procedures

Required Technical Skills

• Strong hands-on experience with Apache Spark (Core, SQL, DataFrames/Datasets)
• Advanced proficiency in Scala (mandatory)
• Strong Java programming skills
• Experience with Docker and container-based deployments
• Experience working within Big Data ecosystems (HDFS, Hive, etc.)
• Understanding of distributed systems and performance optimization
• Familiarity with CI/CD pipelines and release management

Candidate Profile

• Able to work independently with minimal supervision
• Strong experience supporting production environments and release cycles
• High ownership mindset with strong accountability
• Strong analytical and problem-solving skills
• Clear and confident communication abilities

Mandatory Requirements

• Must be available to work onsite in Toronto four (4) days per week.
• In-person interview and technical evaluation is required.