Senior Data Integration Engineer - Planning Solutions
New Balance (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 12–22 LPA
Posted 15d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and maintain scalable, governed data integration pipelines for supply chain planning platforms like o9.
- Integrate supply chain, manufacturing, ERP data into APS-ready models to support planning and AI/ML initiatives.
- Lead end-to-end delivery including design, development, testing, deployment, and production support of enterprise data solutions.
Minimum Requirements
- 5+ years experience in data engineering, data integration, or enterprise data delivery.
- Experience with Advanced Planning Systems data integration, preferably o9 or similar supply chain planning platforms.
- Hands-on experience with data engineering or ETL tools and cloud platforms like Azure or AWS.
- Work Experience Required: 5+ years; Notice Period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in working with supply chain, manufacturing, ERP, and planning data ecosystems, preferably in a consulting or client-facing environment.
- Proficient with cloud-based data engineering technologies including APIs, PySpark, Delta Lake, and modern integration frameworks.
- Skilled at collaborating with cross-functional teams to deliver governed, reusable data pipelines aligned with strategic enterprise data objectives.