Associate Data Architect I

Role description - 6+ Years of Experience - Design and develop scalable ETL/ELT pipelines using Databricks and distributed data processing frameworks. - Build and optimize big data solutions using Apache Spark with Python, Scala, or SQL. - Develop and maintain data lakes and lakehouse architectures on cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud. - Implement batch and real-time data ingestion pipelines from multiple structured and unstructured data sources. - Optimize performance tuning, cluster management, and cost efficiency within Databricks environments. - Create reusable notebooks, workflows, and jobs using Databricks Workflows and CI/CD best practices. - Work with Delta Lake, data modeling, partitioning, and schema evolution for reliable data processing. - Collaborate with data analysts, data scientists, and business stakeholders to deliver high-quality data solutions. - Ensure data governance, security, monitoring, and compliance standards across enterprise data platforms. - Troubleshoot production issues, automate operational tasks, and support continuous improvement of data engineering processes. Skills data engineering,data processing,apache spark,databricks, 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.