Data Operations Engineer
Role Overview
Supports, maintains, and improves goeasy's enterprise data platform and production data services.
Works under the guidance of the Data Operations Team Lead on business-critical workloads across Azure Databricks, Azure Data Factory, SQL Server, the EDW, and SFTP platforms.
Key Skills for This Role
Full Job Posting
Role overview
Supports, maintains, and improves goeasy's enterprise data platform and production data services.
Works under the guidance of the Data Operations Team Lead on business-critical workloads across Azure Databricks, Azure Data Factory, SQL Server, the EDW, and SFTP platforms.
Responsibilities
- Support production workloads and maintain SSIS packages and ETL processes while contributing to modernization with Azure Data Factory and Databricks.
- Monitor pipelines, workflows, integrations, and batch processing; investigate incidents, failures, data quality issues, bottlenecks, and integration challenges.
- Deliver ad hoc data requests, enhancements, and reporting requirements with BI, Data Engineering, and business stakeholders.
- Onboard sources from applications, databases, APIs, vendor platforms, and file-based interfaces; optimize the EDW and reporting platforms.
- Perform SQL development and operational support; participate in root-cause analysis and continuous improvement.
- Automate repetitive tasks, collaborate across technical teams, and participate in deployments and validation, including outside business hours.
- Ensure solutions meet security, governance, and change-management standards.
Experience and qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, or equivalent practical experience.
- 2–4 years supporting and developing enterprise data solutions, including data warehouses, operational data stores, integration platforms, and cloud environments.
- Hands-on Azure Databricks and strong SQL development experience, including Microsoft SQL Server.
- Experience with ETL/ELT, data warehousing, data quality, APIs, file-based integrations, SFTP, and system integrations.
- Experience with Azure or AWS and source control/deployment tools such as Azure DevOps, Git, or similar.
- Strong troubleshooting, analytical, communication, and collaboration abilities.
- Data platform transformation experience is required; Generative AI familiarity and relevant professional certifications are assets.
Work arrangement
- Flexible Work Program provides for three onsite days per week at the Mississauga office.
Compensation
- Posted compensation range is $88,000.00–$104,500.00 CAD and includes base salary and bonus.
Benefits
- Benefits include RRSP matching, an Employee Share Purchase Plan, annual bonus, employee discounts, leave top-up, flexible benefits, virtual doctor appointments, volunteer days, tuition assistance, matched charitable donations, and development programs.
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