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. <br/><br/>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<br/><br/>Key job responsibilities<br/>Serve as the primary escalation point for complex data and technical issues<br/>Monitor and optimize BI platform performance<br/>Investigate and resolve sophisticated problems with data pipelines <br/>Collaborate with data engineering, analytics and development teams to identify and implement solutions for product issues<br/>Create and maintain detailed technical documentation and knowledge base articles<br/>Provide guidance on best practices for report development<br/>Participate in on-call rotations for critical data support needs<br/>Conduct root cause analysis for significant data incidents<br/>Develop and implement proactive measures to prevent recurring issues<br/>Contribute to the improvement of BI support processes and procedures<br/>Liaison between support data engineering, analytics and development teams to ensure effective communication<br/>Support data modeling and visualization standards<br/><br/><br/>Technical Skills:<br/>• Database management and SQL – Query optimization, Data modeling, Performance Tuning<br/>• Data visualization tools expertise (e.g., Quicksight, PowerBI, Tableau, Looker etc.)<br/>• ETL/ELT process and optimization knowledge – Data pipeline design, Data warehouse concepts, Data quality management<br/>• Advanced troubleshooting and debugging techniques<br/>• Data security and governance best practices - Data access controls, Compliance requirements, Data privacy standards<br/><br/>Secondary Technical Skills:<br/>• Data and API integrations<br/>• Scripting and automation (e.g., PowerShell, Python, Bash)<br/>• Networking protocols and configurations<br/>• In-depth knowledge of operating systems (Windows, Linux, macOS)

Basic qualifications

- Experience identifying and resolving complex issues<br/>- Bachelor's degree in Engineering, Data Engineering(DE), Business Intelligence, Analytics, Information Systems or related field<br/>- 1+ years of experience in BI/technical support roles.<br/>- Strong understanding of relevant technologies and systems<br/>- Experience with BI/DE ticketing systems and support processes<br/>- Excellent problem-solving and analytical skills<br/>- Strong verbal and written communication abilities

Preferred qualifications

- Master's degree in a relevant technical field<br/>- Industry-recognized certifications (e.g., Quicksight, PowerBI, Tableau, Looker, Snowflake, ITIL, CompTIA, relevant vendor certifications)<br/>- Knowledge of one or more programming languages<br/>- Familiarity with cloud technologies (AWS, Azure, GCP)<br/>- Experience with performance analysis and optimization<br/>- Experience in a SaaS or enterprise software environment<br/><br/>Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit <a href="https://amazon.jobs/content/en/how-we-hire/accommodations">https://amazon.jobs/content/en/how-we-hire/accommodations</a> for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.