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 solid 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 innovative 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.

📌 Lead I (Bengaluru)
🏢 UST
📍 Bengaluru