Amazon is an E-commerce and Cloud Computing company with headquarters in Seattle, Washington. Since 1995, Amazon has focused on being “the world’s most customer centric company.” Our customers are worldwide, and include not just consumers, but also our sellers and vendors (selling partners). World-class retail brands and individual sellers increase their sales and reach new customers by leveraging the power of the Amazon e-commerce platform. To meet our selling partners’ needs, our smart, diverse, customer-obsessed employees are constantly innovating and building on new ideas.
We are seeking a highly skilled Support Engineer to provide advanced technical support for our data analytics platforms, reporting systems, BI tools and applications. This role serves as an escalation point for challenging issues requiring deep technical expertise and problem-solving skills in data analysis and business intelligence solutions
Key job responsibilities
Serve as the primary escalation point for complex data and technical issues
Monitor and optimize BI platform performance
Investigate and resolve sophisticated problems with data pipelines
Collaborate with data engineering, analytics and development teams to identify and implement solutions for product issues
Create and maintain detailed technical documentation and knowledge base articles
Provide guidance on best practices for report development
Participate in on-call rotations for critical data support needs
Conduct root cause analysis for significant data incidents
Develop and implement proactive measures to prevent recurring issues
Contribute to the improvement of BI support processes and procedures
Liaison between support data engineering, analytics and development teams to ensure effective communication
Support data modeling and visualization standards
Technical Skills:
• Database management and SQL – Query optimization, Data modeling, Performance Tuning
• Data visualization tools expertise (e.g., Quicksight, PowerBI, Tableau, Looker etc.)
• ETL/ELT process and optimization knowledge – Data pipeline design, Data warehouse concepts, Data quality management
• Advanced troubleshooting and debugging techniques
• Data security and governance best practices - Data access controls, Compliance requirements, Data privacy standards
Secondary Technical Skills:
• Data and API integrations
• Scripting and automation (e.g., PowerShell, Python, Bash)
• Networking protocols and configurations
• In-depth knowledge of operating systems (Windows, Linux, macOS)