Search jobs > Toronto, ON > Data engineer

Lead Full Stack Data Engineer, Data Foundation, Data Platforms

CPP Investments
Toronto, ON, CA
$120K a year (estimated)
Full-time

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.
  • 30+ days ago
Related jobs
Promoted
Ripple Labs
Mississauga, Ontario

Minimum of 7 years of experience in software engineering, with a focus on full-stack development. Are you a highly skilled and motivated individual with a passion for Engineering? Look no further! Ripple is seeking a Senior Software Engineer to join our exceptional team and contribute to the develop...

Kumaran Systems
Toronto, Ontario

Develop a comprehensive technical plan for the migration, including data ingestion, transformation, storage, and access control in Azure's Data Factory and data lake. Design and implement scalable and efficient data pipelines to ensure smooth data movement from multiple sources using Azure Databrick...

Services de Gestion Quantum Ltée
Toronto, Ontario

Position: Data Scientist Location: Toronto Job Type: 6-month contract + possibility of extension Schedule: Hybrid, 2 days onsite We are searching for a Data Scientist with experience in Cloud Computing, AI, GenAI, Machine Learning. Key Responsibilities:- Lead and inspire a team of data scientists, o...

iManage
Toronto, Ontario

Here is what one of our leaders, Senior Manager of Engineering ( Jacob Nelson ), has to say about the role: “In a typical week, you will implement and maintain the iManage Closing Folders data ecosystem. Being a Staff Data Engineer at iManage Means… You will play a key role for our Closi...

Movable Ink
Toronto, Ontario

As a Lead Data Scientist, you will be part of our Applied AI and Machine Learning team. Movable Ink scales content personalization for marketers through data-activated content generation and AI decisioning. This includes running a/b tests and conducting deep dives into data to identify opportunities...

Scotiabank
Toronto, Ontario

Scotiabank's Data Engineering, under CBT, is responsible for delivering data integration solutions for a variety of business lines. Contributes to the overall success of the Data Engineering and Data Services in Canada. Contribute to the delivery of data ingestion, transformation and extraction solu...

S.i. Systems
Toronto, Ontario

Senior Director of Analytics to lead data-driven initiatives for utility clients undergoing digital transformation. Lead cross-functional teams in delivering data analytics solutions tailored to client needs. Define and implement data strategies based on client requirements and data maturity levels....

Oak Valley Health
Markham, Ontario

The coordinator will work closely with the clinical team and physicians to ensure proper and accurate data is captured and recorded in the Hospital Information System (HIS), proactively monitor data, communicate a list of data quality issues to providers, and collaborate with the IT team to implemen...

Scotiabank
Toronto, Ontario

Collaborate with Data Office and Data Steward, liaising with data owners to maintain data governance standards and resolve data-related issues. Utilize Data Governance tools to maintain data catalogs, data lineage, and metadata management, facilitating easy access to data assets. Lead and execute Da...

NTT Data
Mississauga, Ontario

NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technolo...