Senior Data Engineer at TD Securities
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Summary
Senior Data Engineer on TD Securities' Counterparty Credit Risk team in Toronto: designs distributed data processing systems and builds/optimizes batch and streaming pipelines, working alongside data scientists and analysts. Core stack includes Scala, Apache Spark, Python, Akka/Pekko, SQL, and Azure Databricks.
Elevate your career as a Senior Data Engineer with TD Securities in Toronto, Ontario. This role emphasizes building scalable data pipelines using Scala, Spark, and Python in a collaborative environment.
Join the Counterparty Credit Risk group within TD Securities as a Senior Data Engineer. You will design and develop robust data processing systems, optimize large-scale pipelines, and collaborate closely with data scientists and analysts. Your role is essential in ensuring data integrity while pushing forward innovative data solutions.
Key Responsibilities: • Design distributed data processing systems using Scala and Apache Spark • Build and optimize data pipelines for batch and streaming • Collaborate with stakeholders to gather data requirements • Maintain real-time data processing solutions with Akka/Pekko • Develop and enhance ETL processes from varied data sources
Requirements: • 5+ years of experience in data engineering with Scala, Spark, Python • Bachelor’s or Master’s degree in Computer Science or related field • Experience with cloud data platforms like Azure Databricks • Understanding of data warehousing and modeling concepts • Proficiency in SQL and relational NoSQL databases
Take your data engineering expertise to new heights at TD Securities in Toronto.
Join the Counterparty Credit Risk group within TD Securities as a Senior Data Engineer. You will design and develop robust data processing systems, optimize large-scale pipelines, and collaborate closely with data scientists and analysts. Your role is essential in ensuring data integrity while pushing forward innovative data solutions.
Key Responsibilities: • Design distributed data processing systems using Scala and Apache Spark • Build and optimize data pipelines for batch and streaming • Collaborate with stakeholders to gather data requirements • Maintain real-time data processing solutions with Akka/Pekko • Develop and enhance ETL processes from varied data sources
Requirements: • 5+ years of experience in data engineering with Scala, Spark, Python • Bachelor’s or Master’s degree in Computer Science or related field • Experience with cloud data platforms like Azure Databricks • Understanding of data warehousing and modeling concepts • Proficiency in SQL and relational NoSQL databases
Take your data engineering expertise to new heights at TD Securities in Toronto.