Senior Data Engineer

Found in: Talent CA C2 - 1 week ago

Mississauga, Canada goeasy Ltd. Full time

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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