Senior Data Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Design, develop, manage, and provide support for Talend data integration solutions across various ministry systems, cloud services, analytics environments, and operational systems.

• Convert business and data requirements into technical designs, incorporating data mapping, transformation, and reconciliation logic.

• Create parameterized, reusable, and context-aware jobs suitable for development, testing, and production environments.

• Implement integration patterns that are scalable and performance-optimized for both batch and near-real-time data movement.

• Design and expose secure data services and APIs utilizing Azure API Management.

• Enforce data governance practices, which include metadata management, data classification, and lineage tracking.

• Design, develop, and conduct unit tests for Talend integration jobs, routes, and reusable components.

• Schedule, orchestrate, deploy, and monitor Talend jobs; track execution metrics, throughput, and failures.

• Provide operational support by diagnosing issues, troubleshooting problems, and resolving integration incidents and data-load failures within established service levels.

• Monitor and troubleshoot data pipelines and integrations to ensure reliability, scalability, and performance.

• Utilize AI and automation tools for the development, testing, monitoring, documentation, code generation, optimization, and review of pipelines.

• Support the Digital Regulatory Assurance System program and potentially engage in additional enterprise data initiatives.

• Perform other responsibilities as required.

⛳️ Requirements

• Practical experience in developing data integration solutions using Talend Data Integration, Data Fabric, or Talend Studio.

• Proficient SQL skills.

• Familiarity with relational databases such as Oracle, SQL Server, or PostgreSQL.

• Experience in designing ETL/ELT processes, data mappings, and transformation logic for enterprise data.

• Background in operating and supporting integration jobs in production, including scheduling, monitoring, and resolving incidents.

• Understanding of data governance, metadata management, data classification, and lineage tracking.

• Knowledge of privacy and regulatory compliance standards, such as POPA.

• Familiarity with role-based access controls, encryption, and data masking.

• Experience with Azure API Management.

• Capability to utilize AI-assisted tools for code generation, optimization, review, testing, monitoring, and documentation.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Opportunities for professional development and training.

• Comprehensive health and wellness benefits.

• Flexible work arrangements.

• Collaborative and supportive team environment.