Lead Trolley’s data platform, pipelines, and data team. Power finance, fraud, reporting, and AI for the internet economy payouts platform.
About the role
- Data Engineer building Azure data pipelines, warehouses, and analytics infrastructure. Supporting Innovation Federal Credit Union’s mission to simplify banking for Canadians.
Responsibilities
- Integrate data by building data pipelines and supporting data architecture on Azure
- Support BI developers, database architects, data analysts, and data scientists on data initiatives
- Ensure data is accurate, accessible, secure, and fit for purpose
- Design and build reusable data extraction, transformation, and loading processes
- Develop Modern Data Warehouse solutions using Azure Data Factory, Azure Data Lake, Azure Synapse, and Databricks
- Optimize data warehouse performance, data models, and reusable data structures
- Develop DevOps CI/CD, automation, and deployment processes
- Participate in metadata management and data governance initiatives
- Solve complex data challenges and deliver insights supporting organizational goals
- Work with Executive, Product, Data, and Design teams on technical data issues and infrastructure needs
- Create data tools for analytics and data science teams
- Collaborate with data and analytics experts to improve data system functionality
Requirements
- Completion of a post-secondary diploma or degree in Computer Science, Data Analytics, Information Systems, or a related field
- Microsoft Azure Data Engineer Associate Certification preferred
- Advanced working SQL knowledge
- Experience working with relational databases, query authoring (SQL), and performance tuning
- Experience building and optimizing big data pipelines, architectures, and data sets with Azure Data Factory
- Hands-on experience with Azure Synapse
- Experience performing root cause analysis on internal and external data and processes
- Strong analytic skills with unstructured datasets
- Some experience with Python
- Ability to build processes supporting data transformation, data structures, metadata, dependency, and workload management
- Knowledge of SQL and relational databases
- Knowledge of data integration and transformation concepts
- Power BI or similar analytics tools
- Microsoft 365 ecosystem; Excel, Teams, and Power Platform exposure an asset
- Ability to write clear documentation and technical notes
Benefits
- 7% employer-matched pension
- Extended health and wellness benefits
- Employee and family assistance program
- Preferred staff loan rates
- Commitment to Community: $1.1 million invested in local organizations last year
- Diversity & Inclusion initiatives
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