Solution Architect - AWS & PySpark

You will be responsible for AWS Data Architecture Design, implementation, and maintenance of scalable and robust data architectures on AWS. This includes utilizing AWS services such as S3, Glue, and Redshift for data storage, processing, and analytics. You will also be involved in ETL Development using PySpark to extract, transform, and load data into AWS data storage solutions. Collaborating with cross-functional teams will be essential to ensure seamless data flow across different AWS services. To qualify for this role, you should have proven experience as a Data Engineer focusing on AWS and PySpark. Strong proficiency in PySpark for ETL and data processing tasks is required, along with hands-on experience with AWS data services like S3, Glue, Redshift, and others. A solid understanding of data modeling, SQL, and database design is also necessary. Key Skills required for this role include AWS, PySpark, and Solution Architecture. About UST: UST is a global digital transformation solutions provider that has been working with the world's leading companies for over 20 years to drive real impact through transformation. With a focus on technology, people, and purpose, UST collaborates with clients from design to operation, embedding innovation and agility into their organizations. With over 30,000 employees across 30 countries, UST aims to make a boundless impact, touching billions of lives in the process.,