Job Overview :

We are seeking a hands-on Data Engineer with 3 to 5 years of experience to build and support modern Supply Chain data products using Databricks, SQL/Python, and SAP data. The role will focus on data pipelines, analytics, and reporting across Purchasing, Inventory, Production Planning, and Logistics.

Responsibilities :

- Work closely with the Data Engineering Manager to understand requirements and deliver assigned backlog items.

- Build and maintain ELT pipelines and data models in Databricks using Delta Lake and dbt.

- Ingest and harmonize SAP data (MM, IM, PP, LE) for analytics and reporting use cases.

- Develop KPI datasets and dashboards related to supplier performance, inventory health, production schedules, and logistics visibility.

- Perform data analysis to support Supply Chain decision-making.

- Prepare ML-ready datasets and support Data Science teams with feature creation.

- Support basic AI/ML and Agentic AI initiatives (data preparation, monitoring, automation support).

- Ensure data quality checks, documentation, and adherence to data governance standards.

Qualifications :

Candidate Desired Profiles :

- Bachelors degree in Computer Science, Data Engineering, Analytics, or related field.

- 3 to 5 years of experience in Data Engineering or Analytics roles.

- Strong hands-on experience with Databricks, SQL, Python.

- Experience working with SAP data (MM, IM, PP, Logistics).

- Experience with Power BI or Tableau.

Preferred :

- Exposure to MLflow, feature stores, or ML pipelines.

- Basic understanding of AI/ML or GenAI concepts.

- Agile/Scrum working experience.