About the role

An international consulting company serving clients across distribution, IT services, and finance is building a modern data and AI platform, and we are looking for a hands-on Data Engineer to own the inventory, supply chain, and planning data behind it. You will turn ERP operational data and external signals into decision-grade datasets for S&OP;, demand forecasting, and inventory optimization working primarily in Snowflake, alongside ERP, BI, and analytics teams. This is a permanent, build-focused role.

Role & responsibilities:
Build and maintain ETL/ELT pipelines ingesting ERP operational data — purchase orders, inventory movements, goods receipts, supplier master, intercompany flows — into Snowflake
Model supply chain and inventory domains: stock positions, lead times, demand history, fill rates, days-of-supply, and aging
Engineer the data foundations for S&OP;, demand forecasting, and inventory optimization use cases
Build curated, governed datasets feeding BI dashboards for supply chain, planning, and operations stakeholders
Integrate third-party and event-driven sources (logistics, supplier feeds, EDI flows)



into centralized operational models
Develop feature pipelines for forecasting, anomaly detection, and inventory ML models in partnership with analytics teams
Implement data quality, reconciliation, and lineage tracking for high-stakes operational and inventory data

Preferred candidate profile:
2+ years of hands-on data engineering, ideally with supply chain, inventory, manufacturing, or operations data
Robust SQL and Python; production ETL/ELT experience
Hands-on Snowflake: modeling, Snowpipe, Streams, Tasks, Energetic Tables, cost optimization
Experience integrating ERP operational data from a major enterprise ERP platform into an analytics environment
Working knowledge of supply chain concepts: demand planning, S&OP;, safety stock, lead time, fill rate, days-of-supply
Familiarity with orchestration (dbt, Airflow, Prefect) and BI delivery
Must be able to work on-site in Delhi or Hyderabad

Global footprint with offices in Canada, Europe, Singapore, and India. Full time, permanent. On-site — Delhi or Hyderabad.

📌 Data Engineer Inventory & Planning Delhi
🏢 SolM
📍 Delhi