Data Integration Engineer - Build Secure API Pipelines

Our Clients

Makati

Sur place

PHP 600 000 - 900 000

Plein temps

14 jours+

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Résumé du poste

Our Clients is seeking an Integration Engineer to connect software modules, databases, and APIs to create unified data flows across the firm’s infrastructure. The role involves bridging legacy systems with modern platforms, ensuring data consistency, and supporting data-driven decisions.

You will design and maintain secure data pipelines, write code to transform data, and collaborate with IT and analytics teams to optimize integrations.

Qualifications

  • Bachelor’s degree in Information Technology, Computer Science, Computer Engineering, or a related field.
  • Proven API development (REST/SOAP) experience and knowledge of middleware or ETL tools.
  • Strong proficiency in programming or scripting languages (Python, Java, JavaScript, PowerShell) and SQL database management.
  • Sharp analytical and diagnostic skills for debugging multi-layered system architectures and data mapping issues.
  • Clear verbal and written communication to collaborate with technical and non-technical partners.

Responsabilités

  • Design, build, and maintain secure data pipelines and API integrations between core platforms and cloud systems.
  • Write robust code, scripts, and queries to transform and synchronize data across environments.
  • Troubleshoot and resolve integration issues and data mismatches to minimize downtime.
  • Collaborate with business analysts, IT infrastructure teams, and DBAs to map integration workflows.
  • Create and update documentation for API endpoints, interfaces, and configurations.

Connaissances

API development
ETL tools
Scripting languages
SQL databases
Data mapping
Communication

Formation

Bachelor’s degree in IT/CS/CE or related

Outils

Middleware
ETL tools

Description du poste

Our Clients is seeking an Integration Engineer to connect software modules, databases, and APIs to create unified data flows across the firm’s infrastructure. The role involves bridging legacy systems with modern platforms, ensuring data consistency, and supporting data-driven decisions.

You will design and maintain secure data pipelines, write code to transform data, and collaborate with IT and analytics teams to optimize integrations.

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