Help craft the future of how Amazonian’s access customer data. You and your team are charged with securing the endpoints that Amazonians use in over 100+ countries around the world.
As a Senior Business Intelligence Engineer, you lead engineering systems that extract business and security insights from sensors and devices across the world.
You will set direction, establish precedence and guide an organization to extract business and security opportunities from real-time streaming data as well as historical data-lakes.
You will find the nugget in the haystack. Your work will make a difference in this space for the thousands of representatives who use our tool and the millions of customers they support.
Key job responsibilities
- Extract actionable business and security opportunities using streaming and historical data from sensors and devices.
- Build data systems that continuously measure key performance indicators for security.
- Build self-service tools and visuals that drive troubleshooting and deep-dives into customer or security impacting issues.
- Drive cross-team projects to drive clarity and accuracy in measurements and issues.
A day in the life
We own and drive the endpoint security posture and solutions across Amazon Stores that operate customer support functions.
We own products, programs and engineering that institute security controls to protect customers and their data as Amazonians use it to solve customer issues.
You will drive implementation of tools, systems and dashboards that produce measurements, insights and opportunities using data for endpoint security programs and products.
You partner closely with Data Engineers, Data Scientists and Software Engineers to build scalable tools and
systems.
About the team
About AmSec : Diverse Experiences
Diverse Experiences
Amazon Security values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply.
If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why Amazon Security
At Amazon, security is central to maintaining customer trust and delivering delightful customer experiences. Our organization is responsible for creating and maintaining a high bar for security across all of Amazon’s products and services.
We offer talented security professionals the chance to accelerate their careers with opportunities to build experience in a wide variety of areas including cloud, devices, retail, entertainment, healthcare, operations, and physical stores.
Work / Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture.
When we feel supported in the workplace and at home, there’s nothing we can’t achieve.
Inclusive Team Culture
In Amazon Security, it’s in our nature to learn and be curious. Ongoing DEI events and learning experiences inspire us to continue learning and to embrace our uniqueness.
Addressing the toughest security challenges requires that we seek out and celebrate a diversity of ideas, perspectives, and voices.
Training and Career growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, training, and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
PREFERRED QUALIFICATIONS
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience with AWS technologies
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
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