Data Engineer - Databricks

Role Summary
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

• 10+ 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.

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  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.
  

Certifications
Databricks Data Engineer/Architect certification (preferred).
Skills: data architecture,sap s/4hana data extraction,sql warehouse,pyspark workbooks,databricks,python,medallion architecture,dlt pipelines,data engineering,delta lake,datasphere, slt, bdc,databricks lakehouse platform