Senior Data Engineer

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PATH

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1977

💰 Grant - PATH on 2025-07

PATH is a global nonprofit dedicated to health equity. With nearly 50 years of experience forging multisector partnerships, and with expertise in science, economics, technology, advocacy, and dozens of other specialties, PATH develops and scales up innovative solutions to the world’s most pressing health challenges.

📋 Description

• 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