Elevate your career as a Scala Spark Developer with SPECTRAFORCE, focusing on robust data processing solutions for liquidity reporting. Your expertise will enhance data reliability and analytics.
This position is geared towards experienced developers with 5 to 10 years in Scala and Apache Spark. You will be responsible for designing, developing, and optimizing data pipelines integral to MRA reporting. This role necessitates strong technical skills in performance tuning and data validation, pivotal for maintaining data integrity.
Key Responsibilities:
• Develop and optimize data pipelines using Scala and Apache Spark
• Implement transformations for accurate liquidity reporting
• Ensure scalability and reliability of data processing jobs




• Integrate data from various source systems efficiently
• Support deployment and production issue resolution
Requirements:
• Minimum 5 years of Scala Spark development experience
• Familiarity with banking or regulatory reporting is beneficial
• Experience in liquidity reporting is a plus
• Knowledge of SDLC and enterprise development standards
• Robust skills in data validation and error handling
Utilize your Scala and Spark expertise to drive significant data projects at SPECTRAFORCE.
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📌 Scala Spark Developer at SPECTRAFORCE (Toronto)
🏢 SPECTRAFORCE
📍 Toronto