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Data Engineer

Michael Page CA

This is a Contract position in Toronto, ON posted September 11, 2019.

Build large-scale batch and real-time data pipelines using the latest technologies.

Apply design thinking and an agile mindset in working with other engineers, data scientists and business stakeholders to continuously experiment, iterate and deliver on new initiatives.

Leverage best practices in continuous integration and delivery.

Help drive transformation by continuously looking for ways to automate existing processes and testing and optimize data quality.

Explore new capabilities and technologies to drive innovation.

2 years of Experience in a Data Engineering role Experience leveraging big data technologies (one or more of Hadoop, Spark, Kafka, Cassandra, ElasticSearch) to build data products Experience writing clean and concise code using Java/Scala/Python Experience building APIs and exposing services through APIs Experience with cloud environments Knowledgeable about containers and orchestration (e.g.

Docker, Kubernetes, Mesos); knowledgeable about data modeling, data access and data storage techniques.

Understanding of machine learning fundamentals Data Engineer position in an exciting team in one of Canada’s leading wealth management institutions A comprehensive compensation package including bonuses and flexible benefits, competitive compensation, and commissions