Job Description

Job Description

Position Overview

We seek a results-oriented Data Engineer with a minimum of  2+ years of experience in data pipeline development within cloud environments. The successful candidate shall be responsible for designing, constructing, and optimizing Azure-based data ingestion and transformation pipelines using PySpark and Spark SQL. This role requires collaboration with cross-functional teams to deliver high-quality, reliable, and scalable data solutions.

Duties and Responsibilities

  • Design, develop, and maintain high-performance ETL/ELT pipelines using PySpark and Spark SQL .
  • Build and orchestrate data workflows in AZURE .
  • Implement hybrid data integration between on-premise databases and Azure Databricks using tools such as ADF, HVR/Fivetran, and secure network configurations. ...

Apply for this Position

Ready to join Sandisk? Click the button below to submit your application.

Submit Application