Senior Data Engineer
Michael Page
Toronto, CA
3d ago

Working in a close knit technical team, the person will :

  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Build large-scale batch and real-time data pipelines using the latest technologies.
  • Help drive transformation by continuously looking for ways to automate existing processes and testing and optimize data quality.
  • 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.
  • Explore new capabilities and technologies to drive innovation.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
  • Experience leveraging big data technologies (one or more of Hadoop, Spark, Kafka, Cassandra, ElasticSearch) to build data products
  • Knowledgeable about containers and orchestration (e.g. Docker, Kubernetes, Mesos);
  • Experience building APIs and exposing services through APIs
  • Experience writing clean and concise code using Java / Scala / Python
  • Experience with public cloud environments
  • A passion for simplifying and automating work, making things better, continuous learning, open-ended problems, efficiency and helping others
  • Knowledgeable about data modeling, data access and data storage techniques.
  • Understanding of machine learning fundamentals
  • Our client is a well renowned name in the software / technology industry, and is looking for a critical resource in the strategic team(s).

    Its coming up with newer capabilities and is always transforming / aspiring to become the best in what it does !

    In addition to an excellent remuneration, be part of a well renowned organization and grow with it.

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