Data Engineering Specialist

4 days ago


Greater Toronto Area, Canada Capgemini Full time

Transforming Operations with Data Engineering

Salary Range: $25.43/hour - $39.73/hour

About the Role:

We are seeking a skilled Data Engineer to join our team and play a pivotal role in ensuring high-quality data and efficient tooling for our operations.

Key Responsibilities:

  • Design, document, build, and maintain robust data pipelines to collect, process, and store data from various sources, including user interactions, listing details, and external feeds.
  • Develop data models that support efficient data analysis for merchandising optimization, ensuring data quality, consistency, and accuracy.
  • Build scalable data pipelines using technologies like SparkSQL, Scala, and Python within an Airflow scheduling framework.
  • Collaborate with cross-functional teams to define data requirements and deliver impactful data solutions for merchandising and sales.
  • Analyze large data sets to identify gaps, inconsistencies, and provide actionable insights.
  • Contribute to the broader Data Engineering community, influencing tools and standards to enhance productivity and code quality.
  • Implement effective monitoring and logging practices to maintain high-performance systems.

Required Skills and Qualifications:

  • Bachelor's degree or equivalent practical experience.
  • Proficiency in relational databases and query authoring with SQL, Scala, and Python.
  • Experience with Big Data technologies such as Hadoop, Hive, Spark, Presto, Flink, and Kafka.
  • Ability to architect and develop solutions to complex, ambiguous problems with integrations across multiple teams.
  • Experience in creating high-performance systems with reliable monitoring and logging.
  • Strong collaborative skills to work effectively with cross-functional teams.

Benefits:

  • Competitive salary range of $25.43/hour - $39.73/hour.
  • Comprehensive benefits package including medical, dental, vision, and retirement benefits.


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