Description :

We are looking for an experienced Senior Data Engineer to design and implement scalable data architectures and AI-ready data products. The ideal candidate has deep expertise in the Databricks Lakehouse Platform, strong skills in AWS cloud services, and exposure to SAP data processing.

Key Responsibilities :

- Architect and build scalable data pipelines, models, and products (Databricks, AWS).

- Manage end-to-end data lifecycle and develop enterprise data models.

- Integrate data from SAP ECC/S/4HANA and non-SAP systems.

- Develop batch, real-time, and streaming data solutions.

- Implement data governance, security, quality, and observability.

- Optimize performance and cost across platforms.

- Collaborate with cross-functional teams to deliver enterprise-ready data solutions.

Required Skills :

- 4+ years in data engineering/data architecture.

- Strong expertise in Databricks (Delta Lake, Medallion Architecture, DLT, PySpark, SQL Warehouse, Unity Catalog).

- Proficiency in Python, SQL, PySpark.

- AWS experience : S3, Lambda, EMR, Redshift, Bedrock.

- Data modeling (ER & Dimensional) and metadata management.

- CI/CD and DevOps awareness.

Preferred Skills :

- SAP S/4HANA data extraction (DataSphere, SLT, BDC).

- ABAP, CDS views, manufacturing domain experience.