Role Description Design, implement and maintain scalable along with robust data architectures on AWS. Utilize AWS services such as S3, Glue and Redshift for data storage processing and analytics. 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. 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 and Redshift. Solid understanding of data modeling, SQL and database design. Skills Aws,Pyspark,Aws Cloud

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AWS PySpark - Lead