Azure Databricks Data Engineer
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Location
In office (Bengaluru)
Seniority
Middle · 4+ years exp
First seen by Alion on Nov 5, 2026. Samsung Electronics scores A on the Alion truth index.
Overview
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Samsung Electronics is a South Korean company founded in 1969 and the largest business in the Samsung group, operating across two very different halves. Its device solutions division makes memory chips, foundry services and image sensors and is one of the largest semiconductor producers in the world, while its device experience division sells Galaxy smartphones and tablets, televisions, home appliances and networking equipment to consumers. Headquartered in Suwon and listed in Seoul, it is the biggest supplier of DRAM and NAND memory and competes with TSMC in contract chip manufacturing.
Backed by ValueAdd VC, Irregular Expressions, Blue Lion
We are looking for an experienced Azure Databricks Data Engineer with strong expertise in building scalable data engineering solutions, enterprise-grade ETL/ELT pipelines, and large-scale data processing. The ideal candidate should have hands-on experience with Azure Databricks, PySpark, Python, SQL, Delta Lake, and Lakehouse architecture, as well as SAP integration.
Responsibilities:
- Design, develop, and maintain scalable ETL/ELT pipelines using Azure Databricks, PySpark, Python, and SQL.
- Implement Delta Lake and Medallion Architecture (Bronze, Silver, and Gold layers).
- Develop and manage Delta Live Tables (DLT) or Lakeflow Declarative Pipelines.
- Build real-time data processing solutions using Spark Structured Streaming, Kafka, or Azure Event Hubs.
- Work with ADLS Gen2, Azure Data Factory, Azure DevOps, and Git.
- Implement data governance, security, and access controls using Unity Catalog.
- Perform Spark performance tuning and optimize data processing workflows.
- Integrate enterprise data sources, particularly SAP, SQL Server, Power BI, and REST APIs.
- Support production pipelines, troubleshooting, and data quality.
Requirements:
- 4-8 years of experience in data engineering.
- Strong hands-on experience with Azure Databricks, PySpark, Python, SQL, and Apache Spark.
- Good understanding of Delta Lake, Lakehouse, and Medallion Architecture.
- Experience with DLT or Lakeflow Declarative Pipelines.
- Knowledge of ADLS Gen2, Azure Data Factory, and Azure DevOps.
- Practical experience with Unity Catalog and data governance.
- Experience with SAP integration and SAP data ingestion into Azure Databricks.
- Knowledge of Structured Streaming, Kafka, or Azure Event Hubs.
Preferred Qualifications:
- Microsoft Azure or Databricks certifications.
- Experience in manufacturing or industrial data environments.
- Exposure to MLflow, feature engineering, and AI/ML data pipelines.
- Bachelor's degree in computer science, IT, engineering, or a related discipline.
Skills
ADF, ADLS Gen2, Azure Data Factory, Azure Data Lake Storage, Azure Databricks, DLT, Delta Lake, Delta Live Tables, Lakeflow, Lakehouse, Medallion Architecture, PySpark, Python, SAP, SAP BW, SAP ERP, SAP HANA, SAP S/4HANA, SQL
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