June 11
🔄 Hybrid – Ottawa
•Data Engineer will design, develop, implement and support data solutions and integration frameworks within Telesat, ensuring secure seamless data storage, flow and communication. •Collect and analyze business & system requirements. Create project documentation as required. •Assemble sets of data that meet non-functional and functional business requirements. •Participate in the planning of integration projects. Work and collaborate with stakeholders and project team members. •Design, develop, and deploy data and integration solutions following organization’s architectural principles, policies, and guidelines. •Research and make recommendations on data and integration products and services. •Test and troubleshoot integration solutions, identify and resolve system issues. •Implement audit, logging, and monitoring solutions of integration systems. •Ensure compliance with data governance and security policies.
•5+ years of experience in enterprise-level application integration, including design, testing, deployment and support. •Experience with business and technical requirements analysis, business process modeling and methodology development, and data mapping. •Experience in overseeing the linking of cross-functional applications between disparate business units and systems. •Experience with real-time streaming solutions design and development, including Apache Kafka, ksqlDB, Event Hub, Azure Data Explorer, Python. •Experience with cloud technologies, including Azure Data Factory, Data Lake, Data Lakehouse, MS Fabric. Professional certification is desirable. •Knowledge of relational database design and management techniques, TSQL, PostgreSQL. •Knowledge of data warehouse solutions design and implementation. •In-depth experience with securing integrations, encryption, Azure Key Vault. •Direct, hands-on experience with automated integration tools and process orchestration. •Familiarity with API protocols. •Knowledge of project management methodologies and tools, Jira, Confluence, Smartsheets. •Strong knowledge of system and software SDLC cycle, DevOps, quality assurance best practices and methods. •Existing Security clearance is an advantage.
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