Key Responsibilities:
• Design, develop, and maintain robust ETL pipelines for data processing and analytics
• Create and optimize SQL queries for efficient data extraction and transformation
• Develop and maintain business intelligence dashboards and reporting solutions
• Collaborate with cross-functional teams to understand business requirements and implement technical solutions
• Monitor and troubleshoot data pipeline issues and AWS security alerts
• Support AI/ML projects by preparing and processing data for model training
• Implement best practices for data quality, security, and performance optimization

Required Qualifications:
• Bachelor's degree in Computer Science, Engineering, or related field
• Proven experience with complex SQL operations including joins, aggregations, and performance tuning
• Demonstrated expertise in ETL development and pipeline monitoring
• Proficiency in creating business intelligence dashboards and reporting solutions
• Hands-on experience with AWS services (S3, Athena, Redshift, Lambda)
• Strong problem-solving skills and attention to detail
• Experience in troubleshooting AWS security and data-related issues

Preferred Qualifications:
• Experience with machine learning frameworks (TensorFlow, PyTorch)
• Knowledge of AI/ML project workflows and data preparation techniques
• Familiarity with Amazon's internal AI/analytics tools
• Excellent communication skills for technical and non-technical audiences
• Adaptability to new technologies and business requirements
• Master's degree in related field is a plus

What We Offer:
• Opportunity to work on technology projects
• Professional development and growth opportunities
• Competitive compensation package
• Collaborative and innovative work environment
• Chance to make significant impact on business operations through technology