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Data Engineer

Saint-Laurent, QC

Looking to be a part of a worldwide leading company in your next career!? Our top client is currently seeking a Data Engineer to join the team. If you are looking for a new challenge, professional growth and the opportunity to work within an environment like no other, we have the role you’ve been dreaming of!

  • Create and maintain optimal and scalable data pipeline architecture
  • Assemble large, complex data sets that meet functional / non-functional business requirements
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources and ‘big data’ technologies.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, CX and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep data separated and secure across national boundaries through multiple data centers.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

  • 3+ years of industry experience working with data, coding and scripting (Python/Java/Scala/SQL/JS/Bash), design and testing
  • Experience developing and administering large data systems
  • Solid knowledge of CS fundamentals in algorithms and data structures
  • Experience/Knowledge of TensorFlow
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with Microsoft cloud services: Azure, Databrick, etc.
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
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