- Build and manage scalable data pipelines (batch + real-time)

- Design and deploy LLM-powered pipelines (RAG, structured outputs, enrichment workflows)

- Implement data orchestration (Airflow/Dagster/Prefect)

- Work with vector databases for semantic search and retrieval

- Build agent-based workflows integrating APIs, databases, and tools

- Ensure data quality, governance, and MDM practices

- Optimize systems for cost, performance, and reliability (caching, prompt tuning, async processing)

- Partner with business teams on procurement and master data use cases

- Bachelor's or Master's degree in Computer Science, Data Engineering, or related field

- 10 -15+ years of experience in Data Engineering, with strong exposure to MDM and Procurement/Supply Chain data

- Strong Data Engineering (Python, SQL, ETL/ELT)

- Experience in Data Architecture & Data Warehousing

- Expertise in MDM & Data Governance

- Experience with Big Data tools (Spark, Kafka, Hadoop)

- Hands-on with Cloud platforms (AWS / GCP / Azure)

- Experience in Procurement / Supply Chain data

- Strong Data Modeling & Data Quality frameworks

- Proven Team Leadership & Stakeholder Management