Senior Data Engineer

Job not on LinkedIn

🕒 September 23

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

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Pathlion

WebsiteAll Job Openings

- employees

🏛️ Government

💼 Consulting

🏢 Enterprise

Government • Consulting • Enterprise

Pathlion is a professional services firm focused on public-sector digital transformation. It delivers end-to-end project management for ServiceNow implementations and financial-system projects for Ontario government clients, provides senior organizational change management for Alberta consumer-licensing modernization (including AI enablement and adoption), and offers DevOps and automation services for Alberta government digital services. Pathlion’s work centers on program delivery, stakeholder engagement, compliance with government standards and procurement rules, training and adoption, and building CI/CD, monitoring, and production operations for public-sector IT systems.

📋 Description

• Provide development, operational support, and continuous improvement services for the Data Management Platform's enterprise integration environment • Design, develop, test, and deploy Talend integration jobs, services, APIs, and reusable components • Translate business and data requirements into technical designs, data mappings, transformation logic, and reconciliation processes • Develop ETL/ELT solutions integrating databases, files, APIs, cloud platforms, and enterprise applications • Build reusable, parameterized, and environment-aware integrations for development, test, and production environments • Implement scalable batch and near real-time integration solutions • Participate in solution design, estimation, and release planning • Deploy, schedule, orchestrate, and monitor Talend jobs, services, and platform components • Investigate and resolve integration issues, production incidents, data load failures, and performance bottlenecks • Perform root cause analysis and implement corrective actions • Monitor platform health, job execution, throughput, and failures • Implement and maintain logging, monitoring, alerting, and automated recovery processes • Support production releases, platform upgrades, patching, and environment maintenance • Collaborate with infrastructure teams, vendors, business stakeholders, data engineers, solution architects, platform administrators, and application teams • Use AI and automation tools to streamline pipeline development, testing, monitoring, and documentation • Leverage AI-assisted tools to improve code generation, optimization, review, development efficiency, and code quality • Perform other duties as needed

🎯 Requirements

• Demonstrated hands-on experience developing data integration solutions with Talend (Data Integration / Data Fabric / Talend Studio) • Strong Talend and SQL development skills • Experience with job scheduling, monitoring, error handling, and incident resolution • Experience designing, developing, testing, and deploying Talend integration jobs, services, APIs, and reusable components • Experience translating business and data requirements into technical designs, data mappings, transformation logic, and reconciliation processes • Experience developing ETL/ELT solutions across databases, files, APIs, cloud platforms, and enterprise applications • Experience building reusable, parameterized, and environment-aware integrations • Experience implementing scalable batch and near real-time integration solutions • Experience with solution design, estimation, and release planning • Experience deploying, scheduling, orchestrating, and monitoring Talend jobs, services, and platform components • Experience troubleshooting integration issues, production incidents, data load failures, and performance bottlenecks • Experience performing root cause analysis and implementing corrective actions • Experience implementing and maintaining logging, monitoring, alerting, and automated recovery processes • Experience supporting production releases, platform upgrades, patching, and environment maintenance • Experience working with infrastructure teams, vendors, and business stakeholders • Experience utilizing AI and automation tools for data engineering workflows • Experience with AI-assisted code generation, optimization, and review

🏖️ Benefits

• Remote work arrangement

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