Lead Data Engineer, Public Markets

2 months ago

Old Toronto, Ontario, Canada CPP Investments Full time
Job Title: Lead Data Engineer, Public Markets

At CPP Investments, we're seeking a highly skilled Lead Data Engineer to join our team in Public Markets. As a key member of our data engineering team, you will be responsible for designing, implementing, and deploying data pipelines to transform vendor data into our standard format.

Key Responsibilities:

  • Lead the design and implementation of data pipelines using Amazon Web Services (AWS) for Cloud development
  • Participate in the development life cycle from start to completion - requirements analysis, development, testing, and deployment
  • Design and implement the data model and enriched strategy-neutral data
  • Design and implement the data service using Amazon Web Service (AWS)
  • Address daily data exceptions on a timely basis and provide L3 operation support
  • Stay current with new data vendor product offerings and how they might be used by our quantitative investment groups
  • Manage and enhance investment data infrastructure through initiatives such as improving metadata and data integrity

Requirements:

  • Bachelor's degree in computer science or engineering
  • Hands-on experience with data engineering technologies such as AWS Glue, EMR, Athena, Redshift, Lake Formation, Apache Spark, Apache Hive, Apache Airflow, S3, CloudWatch, Lambda, Apache Hudi, API Gateway, GraphQL, Elastic Search, Elastic Cache, and Trino
  • Hands-on experience with CI/CD pipeline using Terraform, Jenkins, Github actions, Gitflow
  • Experience working with RESTful APIs. Familiarity with microservices architecture
  • Strong programming skills in Python, PySpark, SQL, Java with professional programming experience in a data context is a must (data extraction, data manipulation, joins, data analysis, data model design etc.)
  • Experience of building data pipelines using an orchestration tool like Apache Airflow
  • Experience in ML and Generative AI is a big plus
  • Ability to deliver time-sensitive deadlines
  • Good understanding of financial data; CFA is a plus
  • Passionate to learn new technology

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