Snowflake with PySpark - Lead

Role Overview: You will be joining UST as a Snowflake Engineer with 5 to 7 years of experience to work on developing and maintaining efficient data solutions on the Snowflake cloud data platform. Your expertise in data engineering, Snowflake, and PySpark will be essential in this role. Key Responsibilities: - Design, implement, and optimize data warehouses on the Snowflake platform. - Ensure effective utilization of Snowflake features for scalable and high-performance data storage. - Develop, implement, and optimize end-to-end data pipelines on Snowflake. - Create and maintain ETL workflows for seamless data processing. - Leverage PySpark for advanced data transformations within the Snowflake environment. - Implement data cleansing, enrichment, and validation processes using PySpark. Qualifications Required: - Proven experience as a Data Engineer, with a strong emphasis on Snowflake. - Proficiency in Snowflake features and capabilities for data warehousing. - Expertise in PySpark for data processing and analytics is a must. - Experience with data modeling, ETL processes, and efficient data storage. - Proficiency in programming languages such as Python, SQL, or Scala for data processing. About the Company: UST is a global digital transformation solutions provider with over 30,000 employees in 30 countries. UST partners with clients to embed innovation and agility into their organizations, working from design to operation, and making a real impact through transformation. With deep domain expertise and a future-proof philosophy, UST touches billions of lives in the process.,