The Scala Spark Developer is responsible for designing, developing, and maintaining scalable data processing solutions to support Liquidity MRA reporting, analytics, and data quality controls.
Responsibilities
- Develop, enhance, unit test and optimize data pipelines using Scala and Apache Spark with big data technologies (HDFS, Spark, Casandra) and SQL experience.
- Implement transformations, aggregations, and calculations required for liquidity reporting.
- Ensure performance, scalability, and reliability of large-scale data processing jobs.
- Integrate data from multiple source systems (e.g., transactional, risk, financial data).
- Apply data validation, reconciliation, and error-handling mechanisms.
- Support deployment, code reviews, and production issue resolution.
- Adhere to TD SDLC enterprise development standards, security, and governance policies
📌 Scala/Spark Developer (Toronto)
🏢 Hays
📍 Toronto
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