Senior Data Integration Engineer - Planning Solutions

Overview

Support the design, development, and delivery of enterprise-scale data integration solutions for supply chain planning platforms such as o9. Build reliable, governed, and reusable data pipelines for supply chain planning, enterprise data engineering, AI/ML initiatives, and APS-ready data delivery.

What you'll do

• Design, build, and maintain scalable data integration pipelines for o9 and related planning platforms.
• Support integration of supply chain, manufacturing, ERP, and planning data into APS-ready data models.
• Develop reusable data engineering assets, integration frameworks, and governed data delivery patterns.
• Work with cloud platforms, APIs, PySpark, Delta Lake, and data engineering tools to enable reliable and secure data flows.
• Support end-to-end implementation activities, including design, development, testing, deployment, and production support.
• Partner with business, functional, and technical stakeholders to translate data requirements into integration designs and technical specifications.
• Collaborate with cross-functional technical teams to ensure project timelines, milestones, and quality standards are met.

What you'll need

• 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 (Blue Yonder).
• Experience supporting supply chain, manufacturing, ERP, or planning data initiatives.
• Hands-on experience with data integration, data engineering, or ETL tools.
• Working knowledge of cloud platforms such as Azure or AWS.
• Experience with APIs, data pipelines, and modern integration architecture patterns.
• Strong analytical, problem-solving, communication, and documentation skills.
• Ability to work collaboratively in a consulting or client-facing delivery environment.

Nice to have

• Experience with the o9 INT3.0 framework powered by PySpark and Delta Lake.
• Experience with Snowflake or other modern cloud data platforms.
• Exposure to Generative AI, Agentic AI, or AI-enabled data engineering solutions.
• Experience working with consulting organizations or global delivery teams.

Details

• Location: Pune.
• Hybrid model with a particular focus on in-person teamwork and collaboration.
• North American office-based associates are expected to come into the office on Wednesdays, with other occasional in-office days for in-person meetings and events as needed.