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Senior Data Engineer

Diggibyte

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Location:
India , Bangalore ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are seeking an experienced Senior Data Engineer with strong expertise in SAP data extraction, transformation, and migration into Databricks. The ideal candidate will have hands-on experience in building scalable data pipelines, optimizing data workflows, and delivering end-to-end migration from SAP (ECC/S/4HANA/BW) to modern cloud platforms using Databricks.

Job Responsibility:

  • Lead and execute end-to-end SAP to Databricks migration projects
  • Extract data from SAP systems (ECC, S/4HANA, SAP BW, SAP HANA) using tools such as SAP ODP, SAP SLT, BAPIs, RFCs, CDS Views, SAP Data Services, or ABAP programs
  • Design, develop, and maintain scalable ETL/ELT pipelines in Databricks using PySpark/Spark SQL
  • Build and optimize data models using Delta Lake architecture
  • Perform data cleansing, validation, and transformation to ensure quality and consistency
  • Work with cross-functional teams (SAP Functional, Architects, BI/Analytics stakeholders) to understand data requirements and solution design
  • Monitor, troubleshoot, and improve data pipeline performance
  • Ensure adherence to best practices for data security, governance, and compliance
  • Create technical documentation and support knowledge transition

Requirements:

  • 5–8 years of experience as a Data Engineer or similar role
  • Hands-on experience in SAP data extraction using OData, ODP, SLT, SAP Data Services, CDS Views, or ABAP
  • Strong expertise in Databricks, Delta Lake, Notebooks, Databricks Workflows, and Spark clusters
  • Proficiency in PySpark, Spark SQL, SQL, and ETL/ELT frameworks
  • Experience with Azure/AWS/GCP Databricks environments (any cloud is fine)
  • Strong understanding of data modeling, data warehousing, and lakehouse concepts
  • Experience in SAP to cloud migration or large-scale data migration projects
  • Knowledge of version control and CI/CD tools (Git, Azure DevOps, GitHub Actions, etc.)
  • Familiarity with data governance tools (Unity Catalog is a plus)

Nice to have:

  • Experience with Azure Data Factory / AWS Glue / GCP DataFusion
  • Knowledge of SAP BW extractors and replication techniques
  • Exposure to Databricks SQL, dashboards, or analytics
  • Experience with performance tuning of Spark jobs and pipelines
  • Certification in Databricks, Azure/AWS, or SAP data integration

Additional Information:

Job Posted:
February 19, 2026

Employment Type:
Fulltime
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