Data Engineer

15 hours ago

Pasig, National Capital Region, Philippines Kdci Full time ₱60,000 - ₱120,000 per year
Job Summary

KDCI Outsourcing is seeking a Data Engineer - Integrations & Automation to design, implement, and maintain data pipelines connecting multiple systems - including ERP, HubSpot CRM, and operational platforms - into a Snowflake-based data environment.

This hands-on role is ideal for someone who enjoys solving data challenges, automating workflows, and building reliable integrations that power business insights and efficiency. You'll work closely with cross-functional teams to ensure seamless data flow, consistent documentation, and scalable data processes across the organization.
Key Responsibilities
  • Implement and maintain data pipelines and integrations into Snowflake, following established architecture and data standards.
  • Build and automate data workflows using tools such as Azure Data Factory, Power Automate, Python, or N8N.
  • Integrate data from ERP, HubSpot, logistics, and other business systems to support analytics and reporting.
  • Monitor, troubleshoot, and enhance data quality, synchronization, and performance across systems.
  • Collaborate with internal teams to ensure data consistency, transparency, and documentation accuracy.
  • Support dashboarding, analytics, and automation initiatives that improve operational efficiency.
  • Identify opportunities for small automation or low-code process improvements across departments.
Job Requirements
  • 5-7 years of experience in data engineering, systems integration, or process automation.
  • Strong command of SQL and hands-on experience with ETL / data pipeline tools (e.g., Azure Data Factory, dbt, Fivetran, Airbyte).
  • Skilled in Python for data transformation and automation tasks.
  • Familiarity with cloud environments, preferably Microsoft Azure.
  • Experience integrating ERP or CRM systems such as HubSpot, NetSuite, or Dynamics.
  • Understanding of data modeling, version control (GitHub), and API integrations.
  • Excellent communication, documentation, and collaboration skills.
  • Bachelor's degree in a technical field; Master's degree preferred (Data Engineering, Computer Science, Data Science, or related).
Nice to Have
  • Experience with Snowflake or modern data warehouses.
  • Familiarity with Power BI, Power Apps, or other automation tools.
  • Knowledge of CI/CD, dbt, or data-as-code best practices.
  • Exposure to data governance and documentation frameworks.

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