Aws_Python_Redshift

Responsibilities :

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/PySpark

Technical and Professional Requirements:

Primary skills:Technology- Cloud Platform- AWS Enviornment Provisioning,Technology- Data On Cloud - NoSQL- Amazon Dynamo DB,Technology- Data On Cloud - Platform- AWS