Aws_Python_Redshift
InfosysJob Description
Aws_Python_Redshift
• Primary skills:Technology->Cloud Platform->AWS Enviornment Provisioning,Technology->Data On Cloud - NoSQL->Amazon Dynamo DB,Technology->Data On Cloud - Platform->AWS Redshift Engineer • 5+ years of experience in Data Engineering and Data Warehousing with strong expertise in Amazon Redshift. • Design, develop, and maintain scalable Redshift data warehouses to support enterprise analytics and reporting needs. • Build and implement Dimensional Data Models (Star Schema), including fact and dimension tables for analytical workloads. • Develop, optimize, and troubleshoot complex SQL queries for large-scale data processing and performance improvement. • Design and maintain ETL/ELT pipelines using AWS Glue and other data integration tools. • Optimize Redshift performance through effective use of RA3 nodes, Distribution Keys, Sort Keys, and Redshift Spectrum. • Integrate data from multiple sources such as S3, PostgreSQL, APIs, and third-party applications into the data warehouse. • Collaborate with Data Architects, Analysts, and Business stakeholders to deliver scalable and efficient data solutions. • Ensure data quality, governance, security, and compliance across the AWS data platform. • Hands-on experience with AWS services (S3, Lambda, IAM, CloudWatch) and exposure to Python/PySparkJob role
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