Data & Integration Developer

Join our team as a Data & Integration Developer, where you will play a crucial role in developing and supporting system integrations and establishing our enterprise data platform. You will work closely with business and technology stakeholders to improve data movement and quality, and make trusted information available for reporting, analytics, automation, and AI initiatives. Your responsibilities will include designing and configuring integrations, developing and maintaining ETL/ELT pipelines, and monitoring production integrations and data pipelines. You should have at least 5 years of experience in system integrations, data pipelines, or data platforms, and a strong understanding of REST APIs, SQL, and relational databases.

• Develop and support system integrations, establish the organization’s enterprise data platform, and improve the movement and quality of data.
• Design, configure, test, deploy, and support integrations between enterprise applications, databases, and data sources using various platforms.
• Develop and maintain ETL/ELT pipelines, curated datasets, and data models for reporting, analytics, automation, and AI use cases.

• Knowledge of authentication, authorization, service accounts, certificates and secure system-to-system connectivity
• Excellent analytical, troubleshooting, organizational and interpersonal skills
• 5+ years of experience developing and supporting system integrations, data pipelines, enterprise applications or data platforms
• Strong experience working with REST APIs, JSON, XML, SQL, relational databases and secure file-based integrations
• University Degree or College Diploma in Computer Science, Information Technology or a related field, or equivalent practical experience
• Excellent written and oral communication skills, with the ability to work with both business and technical stakeholders
• Practical experience developing ETL/ELT pipelines, data models and data warehouse or modern data platform solutions
• Demonstrated experience designing, implementing and supporting production integrations using an enterprise integration platform such as Microsoft Azure Logic Apps, DataBridge Pro, Apache NiFi, or a comparable technology
• Experience with Microsoft Azure data services, Microsoft Fabric, Azure Data Factory, SQL Server, Power BI or comparable technologies is preferred
• Experience with source control, testing, deployment pipelines, monitoring and technical documentation is an asset
• Understanding of engineering design processes and an appreciation of the importance of Quality Assurance Programs in the nuclear industry; nuclear industry experience is an asset