(HQ) Integration Engineer

As an Integration Engineer within the Global Enterprise Applications team, this role is responsible for building, testing, and maintaining Python-based data pipelines and system integrations on AWS, with a strong focus on data accuracy and platform stability. Working closely with System Analysts and fellow engineers, this role turns business and system requirements into reliable, well-tested, and well-documented integration solutions, and helps maintain servers and production services.

KEY RESPONSIBILITIES
－Data Pipeline & Integration Development: Design, develop, and maintain Python-based data pipelines and system integrations (APIs and structured data such as XML/JSON/CSV) that move data reliably between enterprise systems.
－Data Testing & Validation: Build automated tests and data validation/reconciliation checks to ensure the completeness, accuracy, and consistency of data across systems; investigate and resolve data discrepancies at the root cause.
－Cross-Functional Collaboration: Work closely with System Analysts, teammates, and business stakeholders to clarify requirements, share progress openly, take part in code reviews, and exchange knowledge to improve team delivery quality.
－AWS Cloud Operations: Deploy, run, and monitor integration workloads on AWS products (e.g., compute, storage, serverless, monitoring, and access management services), following security and cost best practices.
－Server Maintenance & Automation: Help maintain standalone servers and existing production services (patching, monitoring, troubleshooting), and use Ansible and scripting to make configuration and deployment repeatable and consistent.
－Scheduling, CI/CD & Documentation: Support job scheduling/orchestration (e.g., Airflow) and CI/CD practices, and keep technical, process, and troubleshooting documentation clear, current, and traceable.