Senior Talend data engineer supporting Alberta’s DRAS environmental regulatory transformation program.
Building and operating secure, scalable integrations across legacy systems, cloud services, databases, APIs, and analytics platforms.
Responsibilities
Design, build, operate, and support Talend data integration solutions across ministry systems, cloud services, analytics environments, and operational systems
Translate business and data requirements into technical designs with data mapping, transformation, and reconciliation logic
Build parameterized, reusable, and context-aware jobs for development, test, and production environments
Implement scalable, performance-tuned integration patterns for batch and near-real-time data movement
Design and expose secure data services and APIs using Azure API Management
Implement data governance practices, including metadata management, data classification, and lineage tracking
Design, develop, and unit-test Talend integration jobs, routes, and reusable components
Schedule, orchestrate, deploy, and monitor Talend jobs; track execution, throughput, and failures
Provide operational support, triage issues, troubleshoot problems, and resolve integration incidents and data-load failures within service levels
Monitor and troubleshoot data pipelines and integrations for reliability, scalability, and performance
Use AI and automation tools for pipeline development, testing, monitoring, documentation, code generation, optimization, and review
Support the Digital Regulatory Assurance System program and potentially additional enterprise data initiatives
Perform other duties as needed
Requirements
Hands-on experience developing data integration solutions with Talend Data Integration, Data Fabric, or Talend Studio
Strong SQL skills
Experience with relational databases such as Oracle, SQL Server, or PostgreSQL
Experience designing ETL/ELT processes, data mappings, and transformation logic for enterprise data
Experience operating and supporting integration jobs in production, including scheduling, monitoring, and incident resolution
Knowledge of data governance, metadata management, data classification, and lineage tracking
Knowledge of privacy and regulatory compliance standards such as POPA
Knowledge of role-based access controls, encryption, and data masking
Experience with Azure API Management
Ability to use AI-assisted tools for code generation, optimization, review, testing, monitoring, and documentation
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