3 Fivertran Jobs

Role & responsibilities Data Integration Development: Develop, implement, and maintain robust and scalable data integration solutions on designated middleware platforms, adhering to project timelines and technical specifications. Apply a DevOps mindset to development, contributing to the optimization of processes and tasks through automation (e.g., CI/CD pipelines, Jenkins, GitLab). Operational Excellence: Provide operational support for integrations running on the integration platforms, ensuring high availability and performance. Adhere to company-wide ITIL processes (incident, change, problem management) within a 24/7 support window. Documentation & Standards: Create and maintain comprehensive documentation of integration flows, system interfaces, and adhere to established standards and design patterns. Solution Implementation & Best Practices: Collaborate with data architects and integration specialists to implement data integration solutions that are robust, scalable, and performant, aligning with overall data architecture principles. Ensure adherence to technical best practices and coding standards. Stakeholder Collaboration: Collaborate effectively with project stakeholders, including business users and IT teams, to understand requirements and deliver solutions. Communicate technical details and progress clearly. Process Contribution: Contribute to the identification and implementation of opportunities to optimize data integration processes, improve efficiency, and enhance data quality through automation, standardization, and new tool adoption. Risk & Issue Management: Identify and escalate project risks and issues, and contribute to the development of mitigation strategies to ensure successful project outcomes. Quality Assurance: Assist in executing testing strategies with different stakeholders for data integration solutions, ensuring data accuracy, completeness, and adherence to business rules before deployment. Technical Expertise: Stay abreast of the latest trends and technologies in data integration, ETL/ELT, data streaming, and cloud data services, applying relevant innovations to projects. Preferred Skill Set- Bachelor's or Master's degree in Computer Science, Information Systems, or a related technical field. 5+ years of hands-on experience in data integration development and support with a major expertise on the Kong platform Strong understanding and hands-on experience with following integration and ETL tools OIC, Kafka, Fivetran, Boomi, Workato or willing to master these platforms as well Experienced in applying DevOps principles and practices. Solid analytical, problem-solving, and debugging abilities with a keen eye for detail. Strong communication and interpersonal skills, with the ability to collaborate effectively with various teams. Ability to manage multiple technical priorities in a fast-paced environment. Actively participate in a 24/7 support rotation schedule to ensure continuous operational coverage.

Role & responsibilities Data Integration Development: Develop, implement, and maintain robust and scalable data integration solutions on designated middleware platforms, adhering to project timelines and technical specifications. Apply a DevOps mindset to development, contributing to the optimization of processes and tasks through automation (e.g., CI/CD pipelines, Jenkins, GitLab). Operational Excellence: Provide operational support for integrations running on the integration platforms, ensuring high availability and performance. Adhere to company-wide ITIL processes (incident, change, problem management) within a 24/7 support window. Documentation & Standards: Create and maintain comprehensive documentation of integration flows, system interfaces, and adhere to established standards and design patterns. Solution Implementation & Best Practices: Collaborate with data architects and integration specialists to implement data integration solutions that are robust, scalable, and performant, aligning with overall data architecture principles. Ensure adherence to technical best practices and coding standards. Stakeholder Collaboration: Collaborate effectively with project stakeholders, including business users and IT teams, to understand requirements and deliver solutions. Communicate technical details and progress clearly. Process Contribution: Contribute to the identification and implementation of opportunities to optimize data integration processes, improve efficiency, and enhance data quality through automation, standardization, and new tool adoption. Risk & Issue Management: Identify and escalate project risks and issues, and contribute to the development of mitigation strategies to ensure successful project outcomes. Quality Assurance: Assist in executing testing strategies with different stakeholders for data integration solutions, ensuring data accuracy, completeness, and adherence to business rules before deployment. Technical Expertise: Stay abreast of the latest trends and technologies in data integration, ETL/ELT, data streaming, and cloud data services, applying relevant innovations to projects. Preferred candidate profile Bachelor's or Master's degree in Computer Science, Information Systems, or a related technical field. 5+ years of hands-on experience in data integration development and support with a major expertise on the Kafka platform Strong understanding and hands-on experience with following integration and ETL tools OIC, Kong, Fivetran, Boomi, Workato or willing to master these platforms as well Experienced in applying DevOps principles and practices. Solid analytical, problem-solving, and debugging abilities with a keen eye for detail. Strong communication and interpersonal skills, with the ability to collaborate effectively with various teams. Ability to manage multiple technical priorities in a fast-paced environment. Actively participate in a 24/7 support rotation schedule to ensure continuous operational coverage.

Role & responsibilities Key Responsibilities: Data Integration Development: Develop, implement, and maintain robust and scalable data integration solutions on designated middleware platforms, adhering to project timelines and technical specifications. Apply a DevOps mindset to development, contributing to the optimization of processes and tasks through automation (e.g., CI/CD pipelines, Jenkins, GitLab). Operational Excellence: Provide operational support for integrations running on the integration platforms, ensuring high availability and performance. Adhere to company-wide ITIL processes (incident, change, problem management) within a 24/7 support window. Documentation & Standards: Create and maintain comprehensive documentation of integration flows, system interfaces, and adhere to established standards and design patterns. Solution Implementation & Best Practices: Collaborate with data architects and integration specialists to implement data integration solutions that are robust, scalable, and performant, aligning with overall data architecture principles. Ensure adherence to technical best practices and coding standards. Stakeholder Collaboration: Collaborate effectively with project stakeholders, including business users and IT teams, to understand requirements and deliver solutions. Communicate technical details and progress clearly. Process Contribution: Contribute to the identification and implementation of opportunities to optimize data integration processes, improve efficiency, and enhance data quality through automation, standardization, and new tool adoption. Risk & Issue Management: Identify and escalate project risks and issues, and contribute to the development of mitigation strategies to ensure successful project outcomes. Quality Assurance: Assist in executing testing strategies with different stakeholders for data integration solutions, ensuring data accuracy, completeness, and adherence to business rules before deployment. Technical Expertise: Stay abreast of the latest trends and technologies in data integration, ETL/ELT, data streaming, and cloud data services, applying relevant innovations to projects. Preferred candidate profile Bachelor's or Master's degree in Computer Science, Information Systems, or a related technical field. 5+ years of hands-on experience in data integration development and support with a major expertise on the Fivetran platform Strong understanding and hands-on experience with following integration and ETL tools OIC, Kong, Kafka, Boomi, Workato or willing to master these platforms as well Experienced in applying DevOps principles and practices. Solid analytical, problem-solving, and debugging abilities with a keen eye for detail. Strong communication and interpersonal skills, with the ability to collaborate effectively with various teams. Ability to manage multiple technical priorities in a fast-paced environment. Actively participate in a 24/7 support rotation schedule to ensure continuous operational coverage.