Data & Analytics Engineer building scalable data platforms for Ledgebrook, an insurance company. Designing pipelines, governance, and cloud data systems while partnering with technical and insurance teams.
About the role
- 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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