Data Architect/Senior Data Engineer

Role Overview: As an AWS Data Engineer at Quest Global, your main responsibility will be to design, develop, and maintain data pipelines to ensure data quality and integrity within the MedTech industry. You will play a key role in designing scalable data solutions on the AWS cloud platform, developing data pipelines using Databricks and PySpark, collaborating with cross-functional teams to understand data requirements, optimizing data workflows for improved performance, and ensuring data quality through validation and testing processes. Key Responsibilities: - Design scalable data solutions on the AWS cloud platform - Develop data pipelines using Databricks and PySpark - Collaborate with cross-functional teams to understand data requirements - Optimize data workflows for improved performance - Ensure data quality through validation and testing processes Qualifications Required: - Bachelor's degree in Computer Science, Engineering, or a related field - At least 6 years of experience as a Data Engineer with expertise in AWS, Databricks, PySpark, and S3 - Strong understanding of data architecture, data modeling, and data warehousing concepts - Experience with ETL processes, data integration, and data transformation - Excellent problem-solving skills and ability to work in a fast-paced environment Additional Details about the Company: Quest Global is a MedTech industry leader that offers exciting opportunities for talented AWS Data Engineers to make a significant impact in the field. If you have the required qualifications and experience, we encourage you to apply and be a part of our innovative team.,