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Senior Data Engineer

2 months ago


Mississauga, Ontario, Canada Mattamy Homes Limited Full time
About the Role

We are seeking a highly skilled Senior Data Engineer to join our team at Mattamy Homes Limited. As a Senior Data Engineer, you will play a crucial role in designing, developing, and maintaining data storage, processing, and integration solutions focused on the customer portfolio of applications.

Key Responsibilities
  • Implement data solutions and capabilities required for optimal pipelines within the customer portfolio of applications.
  • Build, maintain, and optimize data pipelines and data processing workflows to ensure the integrity of data across systems and ensuring the source of truth for governed data.
  • Integrate data from/to different sources, including databases, data warehouses, application programming interfaces (APIs), and external systems.
  • Create and maintain data quality standards and analysis to ensure consistency and integrity across integrated systems.
  • Transform raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques.
  • Establish governance and policies supporting the data pipelines to ensure quality standards are met and timeliness of data meets business needs.
  • Monitor and tune data solutions, identify and resolve performance bottlenecks, and implement caching and indexing strategies to enhance data performance.
  • Implement data quality checks and validations within data pipelines to ensure the accuracy, consistency, and completeness of data in transit between systems.
  • Document and maintain data object mapping across the portfolio, maintaining the flow of key data objects across systems.
Requirements
  • A bachelor's degree in computer science, data science, software engineering, information systems, or related field.
  • 5 years of work experience in data management disciplines, including data integration, modeling, optimization, and data quality, or other areas directly relevant to data engineering responsibilities and tasks.
  • Experience with data management within Azure and the Microsoft power platform required, preferably with Dynamics Customer Engagement modules and customer data.
Preferred Qualifications
  • Proficiency and experience with a combination of the below with specific experience using the Microsoft ecosystem for data management – Azure, Fabric, Dynamics:
  • Data Management: Skills and proficiency in modeling, cataloging, and integrating data across systems.
  • Azure Data Services: A combination of experience with tools and concepts within the Azure data services framework.
  • Ability to write scripts for data manipulation, automation, and integration within Fabric.
  • Data Integration and APIs: Experience integrating data with APIs and data pipelines.