Data Engineer
Technology Development Corp
Toronto, ON, CA
6d ago
source : CareerPlug

Our client located in downtown Toronto is looking for a Big Data Engineer who will be responsible for developing new system stacks and tools for big data ingestion, processing, and analytics.

This position is perfect for a developer whose passion is to apply cutting-edge technologies to solve complex business and engineering problems.

This individual will work on a team of talented engineers responsible for the full life-cycle of production systems, software, tools, and flows.


  • Design, develop, and maintain the software and systems that make up the data platform that runs our entire business
  • Participate in multi-disciplinary projects
  • Partner with the Data Science and Engineering teams who use our platform to by diagnosing, predicting and correcting scaling problems
  • Contribute to our teams growing set of development platforms, tools, and processes
  • Required Skills

  • Hands-on experience with Big data technologies (HBASE, HDFS, SPARK, and / or HADOOP)
  • Demonstrated proficiency with Spark, Scala, Python
  • Experience in building stream processing systems using spark streaming or Storm.
  • Experience in integration of data from multiple sources
  • Experience with NoSQL cluster databases, such as HBase, Cassandra, Druid
  • Experience with various messaging systems such as KAFKA, or RabbitMQ
  • Proficient understanding of distributed computing principles.
  • Preferred Skills

  • Experience with other highly scalable, low latency big data systems is a plus
  • Experience with Hortonworks / Cloudera distributions is a plus
  • Experience with Cloud technology and containerization (docker / kubernetes) is a plus
  • Who you are

  • Able to learn and apply new technologies quickly
  • Proven excellent problem-solving abilities
  • Able to work both independently and as part of a team
  • Able to multi-task in a dynamic environment
  • Have Excellent verbal and communication skills
  • Qualifications

  • Software development experience using mainstream languages such as Java, Scala and / or C++
  • Experience architecting, deploying and operating mission-critical big data clusters.
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