Data Engineer - Job Description We are seeking a skilled Data Engineer with solid 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 Solid hands-on experience in PySpark and Databricks (minimum 3+ years) Experience working with cloud platforms (AWS/Azure - preferably AWS)
Valuable 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
PySpark, Databricks, AWS, Data Engineering
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.
📌 Lead I Data Engineering Bengaluru
🏢 UST
📍 Bengaluru
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