Spark Scala Developer

Role: Spark Scala Developer

Location: Toronto ON (4 Days/Week Onsite)
Contract: 6 12 Months

• Domain: Banking / Financial Services (Must Have)
• Experience: 8 10 Years

Job Summary: Our client is looking for an experienced Spark Scala Developer with strong expertise in Big Data technologies and distributed data processing. The ideal candidate should have hands-on experience in Apache Spark Scala Hadoop ecosystem and enterprise-level data engineering projects within the Banking/Financial Services domain. The candidate will be responsible for designing developing and optimizing large-scale data pipelines and high-performance data processing applications for mission-critical banking systems.

Must Have Skills

• Bachelors degree in Computer Science Engineering or related field
• 8 10 years of IT experience with strong Big Data development background
• Must have strong hands-on / coding expertise in Scala and Apache Spark
• Strong experience with Hadoop ecosystem (HDFS Hive Yarn MapReduce)
• Experience building scalable ETL/data processing pipelines
• Strong SQL and database knowledge
• Experience with Kafka or other streaming technologies
• Experience working in Banking / Financial Services domain
• Strong understanding of distributed computing concepts
• Experience with cloud platforms such as AWS/Azure/GCP is a plus
• Familiarity with CI/CD pipelines Git Jenkins and Agile methodologies

Key Responsibilities

• Design develop and maintain scalable Spark-Scala applications
• Build high-performance batch and real-time data processing pipelines
• Optimize Spark jobs for performance scalability and reliability
• Work closely with data architects business analysts and downstream teams
• Analyze large datasets and implement data transformation logic
• Integrate data from multiple enterprise systems and APIs
• Troubleshoot production issues and provide timely resolutions
• Participate in code reviews and enforce development best practices
• Ensure compliance with banking security and data governance standards

Nice to Have

• Experience with Databricks
• Exposure to Python/PySpark
• Knowledge of Airflow or workflow orchestration tools
• Understanding of Capital Markets or Risk/Compliance systems
• Experience with containerization tools like Docker/Kubernetes