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    Senior Data Engineer - Mississauga, Canada - goeasy Ltd.

    goeasy Ltd.
    goeasy Ltd. Mississauga, Canada

    Found in: Talent CA C2 - 1 hour ago

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    Description

    Embark on a journey with one of Canada's fastest growing companies – welcome to goeasy We have been honored with recognitions such as Waterstone Canada's Most Admired Corporate Cultures , the 2022 Report on Business Women Lead Here , Report on Business for Canada's Top Growing Companies and TSX30 as one of the best performing companies on the TSX . We've also received the Greater Toronto Top Employers Award and certified as a Great Place to Work . We're on the lookout for the best and brightest to join our team

    Our vision is to provide everyday Canadians a path to a better tomorrow, today. As one of Canada's leading non-prime consumer lenders, we offer a full suite of products including non-prime leasing, unsecured and secured loans as well as point-of-sale-financing though easyhome, easyfinancial, and LendCare.

    As our new Senior Data Engineer , you will play a key role in designing, developing, and maintaining our data architecture on the Azure platform. You can expect to collaborate with cross-functional teams, leverage your technical proficiency, and contribute to the successful implementation of data solutions.

    What will you be doing?

  • Design and implement scalable, reliable, and high-performance data architectures on the Azure Cloud platform.
  • Collaborate with data architects and other stakeholders to define data requirements and architecture standards.
  • Develop end-to-end data pipelines, ensuring efficient and reliable data movement across various stages, from ingestion to consumption.
  • Utilize Azure Data Factory, Azure Databricks, and other relevant services to orchestrate and optimize data workflows.
  • Design and implement data models that support business requirements and enable efficient querying and analysis.
  • Optimize data storage and retrieval processes for performance and cost-effectiveness.
  • Integrate diverse data sources into a unified data platform, ensuring data consistency, accuracy, and reliability.
  • Implement data integration patterns using Azure services such as Azure Data Factory, Azure Logic Apps, and Azure Functions.
  • Ensure compliance with data governance and privacy regulations.
  • Monitor data pipeline performance and proactively identify and resolve bottlenecks or issues.
  • Implement performance tuning strategies to optimize data processing and reduce latency.
  • Document data engineering processes, data flows, and system architecture for knowledge sharing and future reference.

    • What experience do you have?

  • Bachelor's degree in Computer Science, Information Technology, or a related field.
  • Proven experience (5+ years) as a Data Engineer, with a focus on Azure Cloud technologies.
  • In-depth knowledge of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Storage.
  • 5+ years experience working with large volumes of data (structured and unstructured).
  • Strong proficiency in programming languages such as Python, SQL, and familiarity with tools like Spark.
  • Hands on experience on designing, developing, and implementing Enterprise Data Warehousing, ETL and real-time/batch data exchanges and working with related technologies such as SSIS, Azure Data Factory, Synapse Spark, Azure DevOps, Databricks.
  • Strong SQL skills, knowledge of RDBMS and Data Lake concepts.
  • Strong knowledge of data warehousing architecture, data mining methodologies and business intelligence.
  • Knowledge of AI and ML developments/solutions/implementations is a plus.
  • Knowledge of data security, compliance, and governance best practices.

    • We offer a Flexible Work Program that provides you the ability to work three days onsite per week , between our Mississauga and downtown Toronto office.

    Internal Applicants: please apply through the link and provide written endorsement from your current manager.

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