Sr Data Engineer

10 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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.
  • 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 engineering,data architecture,delta lake,datasphere, slt, bdc,sap s/4hana data extraction,python,sql warehouse,medallion architecture,databricks lakehouse platform,pyspark workbooks,dlt pipelines,databricks

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