Responsibilities:

·       AWS Data Architecture Design, implement, and maintain scalable and robust data architectures on AWS.

·       Utilize AWS services such as S3, Glue, and Redshift for data storage, processing, and analytics.

·       ETL Development with PySpark Develop and implement ETL processes using PySpark to extract, transform, and load data into AWS data storage solutions.

·       Collaborate with cross-functional teams to ensure seamless data flow across different AWS services.

 Qualifications: 

·       Proven experience as a Data Engineer with a focus on AWS and PySpark.

·       Strong proficiency in PySpark for ETL and data processing tasks.

·       Hands-on experience with AWS data services such as S3, Glue, Redshift, and others.

·       Solid understanding of data modeling, SQL, and database design.