Role description
• Strong expertise in SQL for complex query development, data extraction, transformation, analysis, and performance optimization. • Proficient in Python programming for data processing, automation, data cleansing, transformation, and aggregation tasks. • Hands-on experience with Microsoft Azure, including Azure Data Factory (ADF) and Azure Databricks for building scalable data solutions. • Experience developing and managing ETL/ELT pipelines to integrate data from databases, APIs, and other structured and unstructured sources. • Strong knowledge of Databricks and Apache Spark for large-scale data processing, engineering workflows, and notebook-based development. • Skilled in ensuring data quality, integrity, and governance, including troubleshooting and resolving data-related issues across enterprise platforms. • Proven ability to collaborate with business stakeholders, analysts, and data scientists to deliver data-driven solutions while maintaining and optimizing existing pipelines and reporting platforms.
Skills
SQL, Apache Spark, Microsoft Azure, 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.
