Job Title: Data EngineerContract Duration: 6+ months
Pay range: C$80 - 90/hr
Location: Toronto, ON
Work Type: Hybrid - 2 days in office, Monday is the anchor day, 2nd is flex, usually Wednesday.
Summary of day-to-day Responsibilities:

• Reporting to the Manager, the Data Engineer (DE) supports Fraud data migration and Business Intelligence projects by designing and building data management and analytics solutions, ensuring high quality and trusted data is available and accessible to Fraud Performance Management team to make informed business decisions on our registrants, including developing reporting and analytics systems and self-serve reports.
• The DE is responsible for working with data and product owners and various stakeholders from the business, IT, and external teams to ensure the successful delivery of the Data Projects.
• Scope and Complexity
• The DE is responsible for developing and maintaining data pipelines in the Azure data platform, designing and managing data repositories, lakes, and data warehouses. The DE supports the data governance and data quality strategies on the operational level, maintaining the various artifacts on the data assets, including the data dictionary, lineage, ownership, and business rules.
• The DE works closely with the other data engineers and the data analysts (DA), business analysts (BA), product owners, I,T and business SME's. Specifically, for the Data migration project, the DE designs the source-to-target mapping, extracts the data from the current systems, transforms it, and loads the data into the new cloud-based solution. The DE also works closely with the Application and QA teams to validate the data, ensuring quality and alignment with the data architecture.

Job Duties/Accountabilities:

• Work together with other data engineers, data analysts, business analysts, business SME's, records analysts, and privacy analysts to understand the needs for data and create effective, secure data workflows.
• The Data Engineer is responsible for designing, building, and maintaining secure and compliant data processing pipelines using various Microsoft Azure data services and frameworks including but not limited to Azure Databricks, Data Factory, ADLS Storage, and PySpark.
• Build databases, data marts, or data warehouses and perform data migration work.
• Build reporting and analytical tools to utilize the data pipeline, provide actionable insight into key business performance metrics.
• Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Microsoft Azure Cloud.
• Create and maintain data storage solutions, including Azure SQL Database, Azure Data Lake, and/or Azure Blob Storage.
• Utilize Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations.
• Implement data validation and cleansing procedures to ensure the quality, integrity, and dependability of the data.
• Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
• Monitor and resolve data pipeline problems to ensure the consistency and availability of the data.
• Identify, design, and implement internal process improvements, including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes.
• Adapt and learn new technologies per business requirements.
• Ensure compliance with data governance, privacy, and security policies.
• Fosters and maintains an organizational culture that promotes equity, diversity, and inclusion, mutual respect, teamwork, and service excellence.

Must-Haves:

• Architectures, and datasets using Microsoft Azure technologies, including Spark.
• Experience with data migration projects within Microsoft and Azure
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytical skills related to working with unstructured datasets.
• A successful history of manipulating, processing, and extracting value from large, disconnected datasets.
• Ability to plan, prioritize, and manage workload within a time-sensitive environment.

Nice to have:

• Experience with a similar project – graph database
• Banking experience

About The Company:
Top 10 bank in Canada and North America offering comprehensive financial solutions. Providing retail, commercial, wealth management, and wholesale banking services, we help clients thrive in today's evolving market.
About GTT:
GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. As a Native American-owned, economically disadvantaged corporation, we highly value diverse and inclusive workplaces. Our clients are Fortune 500 banking, insurance, financial services, and technology companies, along with some of the nation's largest life sciences, biotech, utility, and retail companies across the US and Canada. We look forward to helping you land your next great career opportunity!
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