Description

You will design and maintain data infrastructure on AWS, ensuring performance and scalability for enterprise workloads.

Responsibilities

• Architect and implement data models and schemas using Amazon Redshift.
• Build and manage ETL pipelines using AWS Glue, EMR, and S3.
• Optimize database performance, query execution, and storage efficiency.
• Develop Python scripts for data processing and automation.

Required Skills

• 5+ years of experience in data architecture or engineering.
• Strong proficiency in Python for data manipulation and scripting.
• Deep expertise with Amazon Redshift for data warehousing.
• Hands-on experience with AWS services: S3, Glue, and EMR.
• Proven track record in data modeling and database performance optimization.
• Ability to design scalable solutions in an on-site environment in Parsippany, NJ.

Key Skills

Education

Any Graduate