Lead I - Data Engineering

About the role

Lead I - Data Engineering at UST. We are looking for a skilled Azure Data Engineer to design, develop, and optimize scalable data solutions on the Azure cloud platform.

What you'll do

• Azure Databricks - Development of scalable data pipelines
• Azure Data Factory (ADF) - Designing and orchestrating ETL/ELT workflows
• Hadoop ecosystem exposure, distributed data processing PL/SQL - Stored procedures, performance optimization Python
• Scripting, automation, and data manipulation Oracle Apps Technical
• Develop scalable data transformation logic using PySpark. Optimize data workflows for performance, scalability, and reliability

What you need

• 7–10 yrs of experience
• SQL
• Python
• ETL
• Spark
• Azure Data Factory
• Data modelling
• Any graduate

Good to have

• CI/CD
• Databricks
• AWS
• Scala
• Hadoop
• Azure