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Lead Engineer, Data Transformation

2 months ago

Toronto, Ontario, Canada CPP Investments Full time

About CPP Investments

CPP Investments is a professional investment management organization that globally invests the funds of the Canada Pension Plan (CPP) to help ensure long-term sustainability.

We are a dynamic and fast-paced organization that attracts and selects high-calibre individuals from top-tier institutions around the globe.

Job Summary

We are seeking a highly skilled Lead Engineer to join our Data Service Applications team for Public Markets and Alternative Assets.

Key Responsibilities

  • Design, implement, and deploy data pipelines to transform vendor data into CPPIB standard format
  • Design solutions aligned with long-term architecture and technology strategy 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)
  • Design and implement data related tools and analytics, in addition to operational processes
  • 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, 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 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

What We Offer

We offer a dynamic and collaborative work environment, opportunities for career growth and development, and a competitive compensation package.

How to Apply

Please submit your application through our website.