Description

Design, develop, and automate data warehouse and business intelligence solutions on AWS. Own the full lifecycle from infrastructure configuration to report delivery.

Responsibilities

• Build and maintain data pipelines using AWS Glue, Lambda, S3, and DMS.
• Develop complex SQL queries and optimize performance on RDBMS platforms like Microsoft SQL Server and Oracle.
• Create visual reports and dashboards using Tableau to support business intelligence needs.
• Design technology infrastructure, review patches, and plan implementation strategies for data warehouse applications.
• Coordinate work with development teams to ensure delivery commitments are met.

Required Skills

• 5+ years of experience in data engineering or related fields.
• Expert proficiency in SQL and working with RDBMS systems.
• Hands-on experience with AWS services: S3, DMS, Glue, Lambda, and Amazon Redshift.
• Proficiency in Python scripting for data automation and processing.
• Experience building dashboards and reports with Tableau.
• Bachelor’s degree in a relevant field or equivalent practical experience.

Key Skills

Education

Any Graduate