Data Engineer

IT - Application & Software Development
Toronto, ON
Oct 06, 2022

Must Have:

Before going through the qualifications please understand that we are flexible! If you feel you have other expertise/experience that would make you a good fit, please apply, and tell us why in a cover letter.

  • Knowledge of Data Management standard methodologies and frameworks (eg. DAMA), with experience in data analysis processes & tools.
  • Knowledge and expertise with conceptual modelling, metadata, reference data management and master data management (MDM), data quality and analysis.
  • Knowledge of software engineering practices for SDLC, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Eager to learn and build both technical and analytical skills.
  • Self-starter with ability to work independently and balance multiple projects simultaneously.
  • Ability to prioritize, run, and handle work independently in a fast-paced environment.

Technical Qualifications:

  • Strong C# programming skills in a large system/application environment including the practical knowledge of availability, scalability, multi-threaded development, and performance design patterns.
  • Strong competent understanding of RESTful, SOAP, GraphQL, WebSocket services.
  • Extensive experience with various database technologies, such as RDBMS (MS SQL), NoSQL (Elastic Search), Graph (Neo4j).
  • Experience with Messaging Services such as RabbitMQ
  • Experience with data cleansing tools such as OpenRefine
  • Knowledge of Web Services, XML technologies, SOA, and Enterprise Integration Patterns.
  • Experience with building data ingestion pipelines both real-time and batch using standard methodologies.
  • Experience using source control technology such as GitHub.
  • Familiarity with CI/CD orchestration tools such as Azure DevOps, GitHub Actions, Argo CD, Maven or similar.
  • Experience with Docker and Kubernetes an asset.

Our client…
is a professional sports and commercial real estate company based in Toronto, Ontario.


  • Maintain our client’s Data Fabric using CluedIn.
  • Ingest data into platform using CluedIn’s .NET Core Crawler framework.
  • Create and maintain entities, edges, and vocabulary using a graph modelling framework.
  • Normalize, standardize, harmonize, and clean the data for further aggregation and analysis, using CluedIn Clean.
  • Implement data enrichers to further improve the data quality.
  • Aggregate data using GraphQL, and stream out for various uses such as, reporting, analysis, and insert golden record into the CRM ecosystem.
  • Assist with developing roadmaps for comprehensive data solutions to address reporting, analysis, and decision-making needs. This includes standard methodologies for data mapping and data integration processes to improve existing systems.
  • Partners with other teams like infrastructure, CRM, and business intelligence to define technical solutions, and efficient integrations within existing landscape.

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