• 5+ years of experience in Data Engineering and Data Warehousing with solid 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 effective 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
📌 Aws Developer Bengaluru (India)
🏢 Infosys
📍 India
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