As a Data Engineer, you will partner with Business Intelligence Engineers and

partner teams to build data pipelines and solutions to harness the vast amount

of operational data from the AWS fleet. You will own the timely delivery of such

data for use in downstream business intelligence solutions, as well as all

necessary actions to ensure the reliability of data provided for business

decision making. Data analysis is at the core Amazon’s culture, and your work

will have a direct impact on decision making and strategy for our organization.

The ideal candidates will have excellent analytical abilities, curiosity, and

strong technical skills. They will have a strong bias toward data driven

decision making, and building scalable data pipelines and systems to facilitate

such decision making. They will be a self-starter; comfortable with ambiguity;

able to think big and be creative, while exercising strong judgment and good

instincts to be right a lot. The ideal candidate is motivated by delivering

high-quality and innovative solutions within timeframes that most think are

impossible. If you are excited about using data to look around corners and drive

engineering solutions that are the foundation of AWS data centers, this role is

for you!

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.

Key job responsibilities

Collaborate with Business Intelligence Engineering team members, engineering

stakeholders, partner technical teams, and business stakeholders, to gather

business and functional requirements, and translate these requirements into a

robust, scalable, and operable data infrastructure that works well within the

overall AWS data architecture, and leads to improved engineering decisions.

Develop a deep understanding and awareness of operational data from the AWS

fleet, and build mechanisms for retrieving and aggregating such data for use by

downstream business intelligence solutions.

Develop a deep understanding of our vast data sources, and provide continuous

recommendations for use to solve specific business problems.

Take ownership of data reliability by, among other things, performing deep-dives

to find root causes of potential data anomalies, and taking subsequent action to

address these anomalies.

Continuously optimize the performance of data queries, and address extract,

transform, load (ETL) procedures.

Insist on the highest standards by recognizing and adopting best practices in

reporting and analysis: data integrity, test design, analysis, validation, and

documentation. Basic Qualifications: - 3+ years of data engineering experience

- 1+ years of developing and operating large-scale data structures for business

intelligence analytics using ETL/ELT processes experience

- 1+ years of developing and operating large-scale data structures for business

intelligence analytics using SQL experience

- Bachelor's degree or foreign equivalent in Computer Science, Engineering,

Information Systems, Mathematics, or a related field Preferred Qualifications: -

Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis,

FireHose, Lambda, and IAM roles and permissions

- Experience with non-relational databases / data stores (object storage,

document or key-value stores, graph databases, column-family databases)

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

[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.

The base salary range for this position is listed below. Your Amazon package

will include sign-on payments and restricted stock units (RSUs). Final

compensation will be determined based on factors including experience,

qualifications, and location. Amazon also offers comprehensive benefits

including health insurance (medical, dental, vision, prescription, Basic Life &

AD&D insurance and option for Supplemental life plans, EAP, Mental Health

Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy

Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at https://amazon.jobs/en/benefits

[https://amazon.jobs/en/benefits].

USA, GA, Atlanta - 132,100.00 - 178,800.00 USD annually

Data Engineer, Data Center Engineering, Data Center Engineering Analytics

About This Role

Required Skills

Data Center Operations Field Technician, Global Field Operations

Data Center CoE - Sr. Field Service Technician

Data Center Controls Tech, Data Center Capacity Delivery - Controls