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
o Boomi (Dell Boomi) o MuleSoft (Anypoint Platform) o Apache Kafka (event streaming / real-time integration)
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.
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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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