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About the role
This role is hybrid and time.requires you to be at our downtown Toronto and/or Client office at a minimum 4 days per week - subject to change at any We are seeking a Senior Data Engineer to join a high-performing data engineering team responsible for building and maintaining scalable data pipelines and modern data platforms. The successful candidate will play a key role in designing, developing, and optimizing large-scale data processing solutions while collaborating closely with data architects, software engineers, and business stakeholders. The ideal candidate brings strong expertise in Spark 3, Scala, and Python, with experience building distributed data processing solutions in enterprise environments. Experience with Kafka is considered a strong asset. The successful candidate will also be expected to learn and adopt Q as part of the role, with training provided.
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