Senior Data Integration Engineer - Planning Solutions
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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and maintain scalable, reusable data integration pipelines for supply chain planning platforms like o9, enabling APS-ready data delivery.
Support integration of supply chain, manufacturing, ERP, and planning data into advanced planning system data models using modern data engineering tools and cloud platforms.
Lead end-to-end data integration activities including design, development, testing, deployment, and production support, collaborating with business and technical stakeholders.
Minimum Requirements
5+ years of experience in data engineering, data integration, or enterprise data delivery.
Experience integrating data for Advanced Planning Systems, preferably o9 or similar supply chain planning platforms (e.g., Blue Yonder).
Hands-on experience with data integration, data engineering, or ETL tools and working knowledge of cloud platforms such as Azure or AWS.
Work Experience Required: 5+ years relevant experience. Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced with supply chain, manufacturing, ERP, or planning data initiatives and modern integration architectures (APIs, data pipelines).
Proficient in PySpark, Delta Lake, and cloud data platforms like Snowflake, preferably familiar with o9 INT3.0 framework.
Capable of working in consulting or client-facing delivery environments with strong collaboration skills across cross-functional technical teams.
