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Aws_Python_Redshift
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- Posted 13 hours ago
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Job Description
- Primary skills:Technology->Cloud Platform->AWS Enviornment Provisioning,Technology->Data On Cloud - NoSQL->Amazon Dynamo DB,Technology->Data On Cloud - Platform->AWS
- 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/PySpark
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