Posted on: 14/04/2026
Roles & Responsibilities :
- Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF) and Databricks
- Perform data ingestion, transformation, and processing using PySpark
- Build and optimize ETL workflows on Azure Cloud
- Work with large-scale structured and unstructured datasets
- Ensure data quality, performance optimization, and reliability
- Collaborate with cross?functional teams to support analytics and business requirements
Skills Required :
- Strong hands-on experience in Azure Databricks
- Proven experience as a Data Engineer
- Proficiency in PySpark, Python, SQL, and Scala
- Solid knowledge of Azure Cloud services
- Strong understanding of ETL processes and data transformation
- Hands-on experience with Azure Data Factory (ADF)
Good to Have :
- Experience with Azure Functions
Did you find something suspicious?
Posted by
Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1628399