Lead Full Stack Data Engineer

7 days ago

Toronto, Ontario, Canada CPP Investments Full time

Company Overview

CPP Investments is a leading global investment organization that manages the funds of the Canada Pension Plan. With a strong commitment to long-term sustainability, we invest in a wide range of asset classes, including public equity, private equity, real estate, infrastructure, and fixed-income instruments.

We are a dynamic and fast-paced organization that attracts high-calibre individuals from top-tier institutions around the world. Our team is passionate about delivering exceptional results and making a meaningful impact.

Job Summary

We are seeking an experienced Full Stack Data Engineer to join our team and contribute to the development of our next-generation data platform. The ideal candidate will have a strong background in data engineering, with expertise in building scalable and efficient data platforms using technologies such as AWS Glue, EMR, Athena, Redshift, Lake Formation, Apache Spark, Hive, HDFS, and Trino.

Key Responsibilities

  • Design, build, and maintain scalable and efficient data platforms using data engineering technologies.
  • Build and manage data pipelines, and common data-related cross-cutting concerns such as data catalog, data lineage, data quality, data profiling, data discovery, and metadata management.
  • Develop and maintain web applications using AngularJS and Python.
  • Build and manage BI/analytical dashboards to reduce time to insight for business stakeholders.
  • Implement CI/CD pipelines using Terraform, Jenkins, GitHub Actions, and GitFlow.
  • Collaborate with cross-functional teams to develop and implement new features.
  • Write clean, reusable, and efficient code.
  • Participate in code reviews and ensure code quality.
  • Develop and maintain APIs using Python and ensure API security and best practices are implemented.
  • Implement SSO integration with Microsoft Azure AD using OAuth, OIDC, and SAML.
  • Implement integration with AWS Cognito for user authentication and authorization.
  • Ensure the application is optimized for maximum speed and scalability.
  • Troubleshoot and debug issues as they arise.
  • Implement DevOps best practices to ensure efficient application deployment and management.
  • Collaborate with data scientists and analysts to integrate data analytics solutions with web applications.
  • Stay up to date with emerging trends and technologies.

Requirements

  • Hands-on experience with data engineering technologies such as AWS Glue, EMR, Athena, Redshift, Lake Formation, Apache Spark, Apache Hive, Apache Airflow, S3FS, Apache Hudi, and Trino.
  • Extensive experience of building data pipelines using orchestration tools like Apache Airflow.
  • Hands-on experience of building cross-cutting concerns such as data catalog, data lineage, data quality, data profiling, data discovery, and metadata management.
  • Proven experience as a Full Stack Developer with AngularJS and Python.
  • Strong understanding of web development technologies including HTML, CSS, and JavaScript.
  • Experience working with RESTful APIs and JSON. Familiarity with microservices architecture.

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