Data Engineer, Intel & Reporting, Intel & Reporting

AWS Infrastructure Services owns the design planning delivery and operation of all AWS global infrastructure. In other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems with thousands of variables impacting the supply chain and were looking for talented people who want to help.

Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

The Worldwide Sustainability (WWS) organization capitalizes on Amazons scale speed ability to build invent and simplify a resilient and sustainable company. We manage our social and environmental impacts globally and drive solutions that enable our customers businesses and the world to become more sustainable.
The Global Network Deployment (GND) organization is looking to hire a Data Engineer to join our Intel & Reporting team (I&R) to support GNDs fast growing operations. The GND organization owns the delivery of physical network infrastructure for core data centers and Edge pointsofpresence (PoPs) globally through planning deployment and process optimization.

As a Data Engineer on this team you will drive efficiency in data handling processes setup product analytics drive advanced analysis and build new metrics which are key inputs to deliver and expand AWSs network infrastructure. You will work collaboratively with the business leaders operations and engineering teams on many nonstandard and unique business problems and support business initiatives by collecting required and related data from external/internal sources.

The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects E2E from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a selfstarter comfortable with ambiguity able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture not just code. You proactively work to improve the consistency and integration between your teams BI solutions and any related systems or artifacts.

Key job responsibilities
Own the design development and maintenance of scalable solutions for ongoing metrics reports analyses dashboards etc. to support analytical and business needs
Interface with other technology teams to extract transform and load data from a wide variety of data sources using AWS services and internal tools
Build and deliver highquality data sets to support customer reporting needs
Continually improve ongoing reporting and analysis processes automating or simplifying selfservice support for customers
Translate basic business problem statements into analysis requirements
Use analytical and statistical rigor to answer business questions and drive business decisions
Find and create ways to measure the customer experience to drive business outcomes
Develop queries and visualizations for adhoc requests and projects as well as ongoing reporting
Write efficient queries and demonstrate indepth knowledge in your area of expertise
Implement standard query syntax and identify advanced methods for query optimization
Recognize and adopt best practices in reporting and analysis: integrity design analysis validation and documentation
Troubleshoot operational quality issues
Review and audit existing jobs and queries
Recommend improvements to backend sources for increased accuracy and simplicity

About the team
Diverse Experiences
AWS 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
AWS values curiosity and connection. Our employeeled and companysponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.

Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.

EEO/Accommodations
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age or other legally protected status. For individuals with disabilities who would like to request an accommodation please let us know and we will connect you to our accommodation team. You may also reach them directly by visiting 3 years of data engineering experience
Experience with data modeling warehousing and building ETL pipelines
Experience with SQL
Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
Experience mentoring team members on best practices

Experience with nonrelational databases / data stores (object storage document or keyvalue stores graph databases columnfamily databases)
Experience operating large data warehouses

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.