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
Employment Code: 11.6.25.B,C
