GCP with PySpark - Lead

You are a talented GCP Data Engineer with 5 to 10 years of experience who will play a crucial role in designing and implementing efficient data solutions on the Google Cloud Platform (GCP) at UST. Your strong data engineering skills, expertise in GCP services, and proficiency in data processing technologies, particularly PySpark, will be highly valued. Responsibilities: - Design, implement, and optimize end-to-end data pipelines on GCP, focusing on scalability and performance. - Develop and maintain ETL workflows for seamless data processing. - Utilize GCP services such as BigQuery, Cloud Storage, and Dataflow for effective data engineering. - Implement and manage data storage solutions on GCP. - Leverage PySpark for advanced data transformations, ensuring high-quality and well-structured output. - Implement data cleansing, enrichment, and validation processes using PySpark. Requirements: - Proven experience as a Data Engineer, with a strong emphasis on GCP. - Proficiency in GCP services such as BigQuery, Cloud Storage, and Dataflow. - Expertise in PySpark for data processing and analytics is a must. - Experience with data modeling, ETL processes, and data warehousing. - Proficiency in programming languages such as Python, SQL, or Scala for data processing. - Relevant certifications in GCP or data engineering are a plus. About UST: UST is a global digital transformation solutions provider that has been working with the world's best companies for more than 20 years. UST partners with clients from design to operation, embedding innovation and agility into their organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact, touching billions of lives in the process.,