Lead Data Engineer, Public

1 month ago

Toronto, Canada CPP Investments Full time
Job Description

As a Lead Data Engineer, you will be working on the Data Service Applications for Public Markets and Alternative Assets. The role will involve -

Role-Specific Accountabilities:

  • Leading the design, implementation and deployment of data pipelines to transform (structure and map) 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
  • Work in a fast-paced environment collaborating with business users, engineers, architects, researchers, and data scientists

Qualifications

  • A 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 (e.g. 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


Additional Information

Visit our LinkedIn Career Page or Follow us on LinkedIn. 

At CPP Investments, we are committed to diversity and equitable access to employment opportunities based on ability.

We thank all applicants for their interest but will only contact candidates selected to advance in the hiring process. 

Our Commitment to Inclusion and Diversity:

In addition to being dedicated to building a workforce that reflects diverse talent, we are committed to fostering an inclusive and accessible experience. If you require an accommodation for any part of the recruitment process (including alternate formats of materials, accessible meeting rooms, etc.), please let us know and we will work with you to meet your needs.

Disclaimer:

CPP Investments does not accept resumes from employment placement agencies, head-hunters or recruitment suppliers that are not in a formal contractual arrangement with us. Our recruitment supplier arrangements are restricted to specific hiring needs and do not include this or other web-site job postings. Any resume or other information received from a supplier not approved by CPP Investments to provide resumes to this posting or web-site will be considered unsolicited and will not be considered.  CPP Investments will not pay any referral, placement or other fee for the supply of such unsolicited resumes or information.

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