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    Lead Full Stack Data Engineer, Data Foundation, Data Platforms - Toronto, Canada - CPP Investments

    CPP Investments
    CPP Investments Toronto, Canada

    2 weeks ago

    Default job background
    Full time
    Description

    Company Description

    Make an impact at a global and dynamic investment organization

    When you invest your career in CPP Investments, you join one of the most respected and fastest growing institutional investors in the world. With current assets under management valued in excess of $500 billion, 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. The CPP Fund is projected to reach $3 trillion by 2050. CPP Investments invests in all major asset classes, including public equity, private equity, real estate, infrastructure and fixed-income instruments, and is headquartered in Toronto with offices in Hong Kong, London, Luxembourg, Mumbai, New York City, San Francisco, São Paulo and Sydney.

    CPP Investments attracts and selects high-calibre individuals from top-tier institutions around the globe. Join our team and look forward to:

  • Diverse and inspiring colleagues and approachable leaders
  • Stimulating work in a fast-paced, intellectually challenging environment
  • Accelerated exposure and responsibility
  • Global career development opportunities
  • Being motivated every day by CPP Investments' important social purpose and unshakable principles
  • A flexible/hybrid work environment combining in office collaboration and remote working
  • A deeply rooted culture of Integrity, Partnership and High Performance

    • If you share a passion for performance, value a collegial and collaborative culture, and approach everything with the highest integrity, here's an opportunity for you to invest your career at CPP Investments.

    Job Description

    We are looking for an experienced Full Stack Data Engineer to join our team for building a next generation data platform built on Data Mesh architecture/principles. The ideal candidate should have extensive hands-on experience of building a big data platform, Big Data Technologies, Data Pipelines, backend development using Python, BI/Analytics tools as well as experience with DevOps, AWS, and UI Development in Angular JS. You will be responsible for designing, developing, and maintaining our web applications and data pipelines, as well as implementing CI/CD best practices.

    Responsibilities:

  • Design, build, and maintain scalable and efficient data platform using data engineering technologies such as Glue, EMR, Athena, Redshift, Lake Formation, Apache Spark, Hive, HDFS and Trino.
  • Build/manage data pipelines, and common data related cross cutting concerns like data catalog, data lineage, data quality, data profiling, data discovery, metadata management
  • Develop and maintain web applications using AngularJS and Python.
  • Build/manage BI/Analytical dashboard reducing time to insight for the business stakeholders.
  • Implement CI/CD pipelines using Terraform, Jenkins, Github actions, 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.

    • Qualifications

  • 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 tool like Apache Airflow. Hands on experience on building cross cutting concerns like data catalog, data lineage, data quality, data profiling, data discovery, 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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