
Data Integration Delivery
1 day ago
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.
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