Data Engineer, DC Engineering, Data Center Engineering Security Solutions

AWS Data Center Engineering is responsible for the design and planning of AWS's global data center infrastructure. In this role, you will be a key part of the team that designs and delivers the physical security environment that hosts AWS's industry-leading cloud services for our customers. This includes designing comprehensive data center security solutions that give our customers confidence their infrastructure is well-protected. You will work on complex, multifaceted challenges, balancing a myriad of data points to raise the bar on physical security and reliability. If you thrive on tackling ambitious projects at scale, this is an exceptional opportunity to make a significant impact.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re 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 we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll 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 you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

The AWS Facility Operations Center (FOC) team is seeking a Data Engineer (DE) to serve as a technical resource and leader to drive the team’s long-term vision within the Data Center Community (DCC).

Key job responsibilities
- Designing, developing, deploying, and documenting data management and business intelligence systems, enabling our internal customers to manage the business and make effective decisions.
- Building secure, available, scalable, and cost-effective data solutions using data storage technologies, distributed file system, data processing, and business intelligence best practices.
- Working with business customers in understanding the business requirements and implementing solutions to support analytical and reporting needs.
- Designing and planning for solutions in the various engineering subject areas as it relates to data storage and movement solutions: data warehousing, enterprise system data architecture, data design (e.g., Logical and Physical Modeling), data persistence technologies, data processing, data management, and data analysis.
- Ensuring completeness and compatibility of the technical infrastructure to support system performance, availability and architecture requirements
- Reviewing and participating in testing of the data design, tool design, data extracts/transforms, networks and hardware selections

About the team
The AWS Data Center Engineering team is looking for the ideal candidate who will draw upon exemplary analytical, critical thinking, and problem-solving skills, and a passion for maintaining highly reliable, distributed systems that operate 24/7/365.

As part of this team, you will collaborate effectively with internal end-users, cross-functional software development teams, and technical support/sustaining engineering teams to solve complex challenges and deliver against high operational standards of system availability and reliability. We seek engineers who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun!

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

Amazon 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.

We value work-life 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, there’s nothing we can’t achieve in the cloud.

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

#DCE_P&S

Basic Qualifications

- 1+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)

Preferred Qualifications

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.

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 https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $91,200/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.