Tech Stack

Description

You will build and operate the data foundation that powers analytics, machine learning, and Generative AI across the organization. This involves designing scalable data pipelines, integrating SAP and non-SAP data into a unified Data Fabric, and enabling AI/ML use cases including LLM fine-tuning and RAG.

Requirements

• Self-starter with strong communication skills and a positive outlook
• Deep understanding of SAP-centric enterprise data architecture and modern lakehouse data ecosystems
• Experience with cloud lakehouse platforms (Databricks or Snowflake)
• Proficiency in building ELT/ETL workflows for structured, semi-structured, and unstructured data
• Knowledge of vector databases, embedding generation, and RAG pipelines

Responsibilities

• Design and implement scalable ingestion pipelines across application platforms including POS, Nielsen, IoT/PLC, and unstructured data
• Model and harmonize SAP S/4HANA data structures integrating with external commercial, operational, and sensor data
• Implement data quality rules, lineage tracking, and metadata management
• Use infrastructure-as-code and CI/CD to deploy and manage data pipelines and lakehouse components
• Prepare curated datasets for ML model training, LLM fine-tuning, and enterprise GenAI applications