Integration Engineer

The Integration Engineer is responsible for designing, developing, and supporting data integrations across enterprise systems, ensuring accurate, reliable, and scalable data exchange between internal and external platforms. This role contributes to the organization’s evolution toward modern, API-driven integration architecture. The successful candidate will support both existing Talend-based integrations and the transition to RESTful, API-first integration patterns, aligned with the company’s long-term data strategy. Key Responsibilities • Design, build, and maintain Talend data integration jobs supporting critical business processes • Support system-to-system integrations across platforms such as ERP, CRM, finance, and external partners • Develop, maintain, and enhance RESTful API integrations, including authentication mechanisms (OAuth, tokens) • Maintain and improve file-based integrations (SFTP, flat files, CSV exchange processes) • Perform data mapping, transformation, validation, and reconciliation across systems • Monitor and support integration operations, including error handling and performance optimization • Collaborate with cross-functional teams (IT, Data, Business) to gather requirements and deliver solutions • Document integration architecture, processes, and operational procedures • Troubleshoot issues and take ownership of integration-related incidents end-to-end • Contribute to the modernization of integration architecture, moving from legacy ETL toward API-first and scalable solutions Required Qualifications & Experience • Experience and familiarity with Talend (Open Studio or similar Talend platform) • Strong understanding of ETL concepts and data integration patterns • Hands-on experience with REST APIs (development or consumption) • Knowledge of authentication standards (OAuth, API keys, token-based authentication) • Experience with: o File-based integrations (SFTP, CSV, flat files) o Data transformation and mapping • Solid knowledge of SQL and relational databases • Experience working in Linux/Unix environments (basic scripting and job execution) • Understanding of job scheduling, orchestration, and dependency management • Programming/scripting experience (e.g., Python) Preferred Qualifications • Experience with enterprise integration and middleware platforms, such as: o Boomi (Dell Boomi) o MuleSoft (Anypoint Platform) o Apache Kafka (event streaming / real-time integration) • Experience integrating enterprise systems such as: o ERP (e.g., QAD or similar) o CRM (e.g., Salesforce APIs) o Finance/expense platforms (e.g., Rydoo or similar) • Exposure to middleware architecture and integration frameworks • Experience with cloud-based data platforms (Azure Data Factory, Databricks, etc.) • Familiarity with event-driven architectures and real-time data streaming Key Competencies • Strong analytical and problem-solving skills • Ownership mindset with accountability for end-to-end integration processes • Ability to work in a global, cross-functional environment • Strong communication skills (technical and business stakeholders) • Attention to detail and focus on data accuracy and reliability Success Criteria • Reliable and scalable integration processes across enterprise systems • Reduction in manual data handling and improved automation • Improved monitoring, ownership, and traceability of integrations • Progression toward standardized and modern integration architecture ------------- All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, or any other characteristic protected by law. Genfinity as an Equal Opportunity Employer, believes in each person’s potential, and we’ll help you achieve yours. All information will be kept confidential according to EEO guidelines. Privacy Notice & Consent We value your privacy. By submitting your information through this form, you are applying for a position at Genfinity Philippines, Inc. and voluntarily providing personal information, including your name, contact details, and resume. This information will be collected and processed solely for recruitment purposes , including evaluating your qualifications, assessing your skills, verifying your background, and contacting you about your application. As part of the recruitment process, identity verification may be conducted at a later stage i.e. post-offer stage, which may require the collection and review of valid identification documents. Your personal data will be processed in accordance with the Data Privacy Act of 2012 . 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