Lead I - Data Engineering

• *Role description**

Data Engineer \- Job Description We are seeking a skilled Data Engineer with strong expertise in PySpark and Databricks to design, develop, and maintain scalable data pipelines. Role Scope / Responsibilities: Design and develop new data pipelines in Databricks Support and maintain existing data pipelines in Databricks Monitor and resolve day\-to\-day job failures and performance issues Ensure data pipelines are optimized for performance and scalability Work independently while collaborating with cross\-functional teams as required Key Skills \& Qualifications: Minimum 5 years of overall experience in Data Engineering Strong hands\-on experience in PySpark and Databricks (minimum 3\+ years) Experience working with cloud platforms (AWS/Azure \- preferably AWS) Good understanding of data pipeline design and performance optimization Excellent communication skills Ability to work independently and handle production support activities Mandatory Skills: PySpark Databricks

• *Skills**

AWS, Apache Spark, Data Engineering, Databricks, ETL

• *About UST**

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future\-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.