Role Description
Who we are:
At UST, we help the world’s best organizations grow and succeed through transformation. Bringing together the right talent, tools, and ideas, we work with our client to co-create lasting change. Together, with over 30,000 employees in 30+ countries, we build for boundless impact—touching billions of lives in the process. Visit us at UST.com.
Summary
We are seeking a highly skilled Data Engineer to design, develop, and deploy scalable data solutions that support both operational and product-driven business needs. The ideal candidate will have strong expertise in AWS Cloud, Apache Spark/PySpark, ETL development, workflow automation, and big data technologies. This role requires hands-on experience in building data pipelines, analysing large datasets, optimizing data processing architectures, and driving solutions from development through production deployment.
Key Responsibilities
Collaborate with cross-functional teams to design, develop, and deploy data tools that support business operations and product initiatives.
Build and maintain scalable data pipelines and ETL processes using Apache Spark and PySpark.
Perform analysis and processing of large-scale datasets leveraging AWS cloud services.
Own product features throughout the software development lifecycle, including design, development, testing, deployment, and production support.
Evaluate emerging big data technologies and prototype cutting-edge solutions to enhance data processing capabilities and architecture.
Develop and automate data workflows and pipelines to improve efficiency, reliability, and scalability.
Implement best practices for CI/CD, code quality, testing, and deployment automation.
Conduct functional testing and validation of data solutions to ensure accuracy and performance.
Monitor, troubleshoot, and optimize data processing jobs and workflows.
Work closely with stakeholders to understand data requirements and translate them into scalable technical solutions.
R
📌 Lead I (Bengaluru)
🏢 UST
📍 Bengaluru