Data Engineer

This is a remote position.

A public sector organization is seeking an experiencedData Engineerto support a large-scale initiative modernizing environmental and natural resource regulatory processes.

The Data Engineer will design, develop, maintain, and support enterprisedata integration, ETL/ELT, and data pipeline solutionsusingTalend, SQL, Azure, and relational databases.

Requirements

• Design, develop, test, and support enterprise data integration and ETL/ELT solutions usingTalend.
• Build data mappings, transformations, reconciliation processes, and reusable integration components.
• Develop and optimize SQL queries, stored procedures, and database processes usingSQL Server, Oracle, or PostgreSQL.
• Administer and supportTalend Management Console (TMC)and Talend Remote Engine.
• Schedule, monitor, troubleshoot, and resolve production data pipeline and integration issues.
• Develop scalable batch and near-real-time data pipelines.
• Design and integrateREST APIsusingAzure API Management.
• Support data quality, governance, metadata, lineage, security, and data privacy requirements.
• Work across development, testing, and production environments following establishedSDLCpractices.
• Collaborate with data engineers, architects, business stakeholders, platform teams, and vendors.
• LeverageAI and automation toolsfor code generation, testing, data analysis, documentation, and pipeline optimization.

Required Qualifications

• Post-secondary degree, diploma, or certificate inComputer Science, Engineering, or a related field.
• 3+ yearsof experience designing, developing, testing, and supporting enterprise data integration solutions.
• 3+ yearsof experience withTalend Management Console/Talend Administration Center.
• 3+ yearsof experience installing, configuring, supporting, and troubleshootingTalend Remote Engine.
• 2+ yearsof production support experience for enterprise integration solutions.
• 4+ yearsworking within a matureSoftware Development Lifecycle (SDLC).
• 1+ yearof experience usingAI for code generation, data analysis, automation, or development productivity.

Preferred Qualifications

• 6+ yearsof experience in business/data requirements analysis.
• 6+ yearsof strongMicrosoft SQL Serverexperience.
• Experience building scalable ETL pipelines, implementing data quality, and working with cloud platforms.
• 3+ yearsof experience integratingRESTful APIs.
• 3+ yearsof experience withmessage queuing technologies.
• Experience withServiceNow and Azure-based data management integrations.
• Experience with data governance, metadata management, data classification, and data lineage.