Lead Data Engineer, Public Markets and Alternative Assets

1 month ago

Toronto, Ontario, Canada CPP Investments Full time

About CPP Investments

CPP Investments is a global investment management organization that invests the funds of the Canada Pension Plan (CPP) to ensure long-term sustainability. With assets under management valued in excess of $500 billion, we are one of the most respected and fastest-growing institutional investors in the world.

Job Description

We are seeking a Lead Data Engineer to join our team in the Data Service Applications for Public Markets and Alternative Assets. As a key member of our team, you will be responsible for designing, implementing, and deploying data pipelines to transform vendor data into CPPIB 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 the 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, and GitFlow
  • Experience working with RESTful APIs and familiarity with microservices architecture
  • Strong programming skills in Python, PySpark, SQL, and Java with professional programming experience in a data context
  • Experience of building data pipelines using orchestration tools like Apache Airflow
  • Experience in ML and Generative AI is a plus

What We Offer

  • Diverse and inspiring colleagues and approachable leaders
  • Stimulating work in a fast-paced, intellectually challenging environment
  • Accelerated exposure and responsibility
  • Global career development opportunities
  • A flexible/hybrid work environment combining in-office collaboration and remote working
  • A deeply rooted culture of Integrity, Partnership, and High Performance

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