Business Intelligence Engineer, Analytics & Data Engineering (ADE) - Amazon : Job Details

AWS (Utility Computing) owns the design, planning, delivery, and operation of all AWS global infrastructure. We support all AWS data centers, servers, storage, networking, power, and cooling equipment to ensure continuous access for our customers. We tackle challenging problems with thousands of variables impacting the supply chain, seeking talented individuals to join us.

You will join a diverse team of software, hardware, network engineers, supply chain specialists, security experts, operations managers, and others. Your role involves collaborating across AWS to deliver high standards of safety and security while providing extensive capacity at minimal cost. We foster an inclusive culture that welcomes bold ideas and empowers you to see them through.

If you're interested in building impactful business intelligence (BI) solutions within a team of BIEs, Data Scientists, Data Engineers, and SDEs, consider a role in AWS Hardware Engineering Services.

Our team is responsible for designing, qualifying, and maintaining server solutions for AWS and its customers. The ADE team manages data ecosystems and analytics supporting hardware development and operations. As a Business Intelligence Engineer, you will support the design, implementation, and delivery of BI solutions in a complex environment with long-term impacts on business, organization, and technology. This role offers exposure to both BIE and Data Engineering disciplines, fostering your technical skills and leadership abilities.

The ideal candidate will have experience in data and business intelligence systems, with a proven track record of developing analytical solutions from concept to launch. Skills should include SQL proficiency, ETL process development, familiarity with data visualization tools like QuickSight, and experience with scripting languages such as Python.

AWS is the most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuously innovating. Our robust suite of products and services powers startups to Global 500 companies.

We value diverse experiences and encourage candidates who may not meet all preferred qualifications to apply. If your career path is non-traditional or includes alternative experiences, don't hesitate to apply.

We prioritize work-life harmony and offer flexibility to support your success both at work and at home. Our culture of inclusion, supported by employee-led affinity groups and ongoing learning events, celebrates our differences and promotes continuous growth.

We aim to be Earth's Best Employer, providing mentorship, knowledge-sharing, and resources to help you develop professionally.

• 3+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• Experience with data visualization tools such as Tableau or QuickSight.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Experience with statistical analysis packages like R, SAS, or Matlab.
• Proficiency in SQL and scripting (Python) for data processing.

• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
• Experience in data mining, ETL processes, and handling large-scale datasets in a business environment.

Amazon is an equal opportunity employer and values diversity. If you require workplace accommodations during the application process, please visit our site for more information.

Our compensation varies by geographic location, experience, and skills, with a range from $89,600 to $185,000 annually. Additional benefits and total compensation details are available on our site. This role remains open until filled. Apply via our career site.