Data Engineer, DCC Central InfraOps Analytics

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.

As a Data Engineer you will enable data-driven decision making within the Amazon Web Services Data Center Infrastructure Operations organization. The Infrastructure Operations Team is responsible for planning, implementing, monitoring and continuously improving the global Amazon Data Center infrastructure. The team supports all aspects of the Data Center based organizations, including but not limited to : Safety, Security, maintenance, daily operations, logistics, engineering and equipment management.

You will be developing, implementing and maintaining the information data lake and utilizing insight platforms to enable decision support systems for the overall organization. You should have excellent business and communication skills, and be able to work with business owners to understand their data and reporting requirements.

Above all, you should be passionate about working with huge data sets and be someone who is able to bring data sets together to answer business questions and drive growth. You will build ETLs to ingest the data into the data warehouse and data lake, as well as end-user facing reporting applications. You will primarily support teams within the Infrastructure environment, but will also have opportunities to support teams in the overall Amazon Web Services community.

You will work with business customers and development teams to define analytics requirements and then deliver flexible, scalable, end-to-end solutions.

You will have an opportunity to work with big data and emerging technologies while driving business intelligence solutions end-to-end: business requirements, data modeling, ETL, metadata, reporting, and dashboarding. You should have expertise in the design, creation, management, and business use of large datasets.

About the team

The Central Infrastructure Analytics Team (CIAT). We are a team of engineers and scientists committed to providing accurate, actionable data and insights that support business decisions within Infrastructure Operations.

We provide unified data sources and business intelligence solutions to the Infrastructure Operations (InfraOps) global teams. We obsess over providing low-latency, accurate, actionable data to customers throughout AWS, accomplished through self-service data access, subscription-based reporting, and comprehensive analyses. We lead the business with predictive and prescriptive analyses providing our partners the insights and the anticipatory forecasting they need to deliver best in class services to our customers, promoting cost reduction, increased sustainability, and overall efficiency.

CIAT are responsible for the sourcing, centralizing, preparing and vending both raw data and processed data/reports, to our customers across all aspects of AWS and Data Center Operations. We differ from other central teams as our remit is both cross functional and function specific depending on the individual customer requirements. We are uniquely positioned to provide an integrated perspective based on the available data feeds. We continually expand our data sources to maintain alignment with the changing business systems and requirements of our customers. We actively engage with our partner teams to grow our business knowledge so that our developed solutions reflect the collective knowledge gained through our partnerships.

We are responsible for the data quality and security, ensuring that the vended data subscribes to Amazons least privilege and business need-to-know ethos. We support direct access to >4400 data tables across >360 schemas, developed and manage >390 reports within >75 dashboards, and provide direct report and data access to >5000 unique users across AWS. Through the development and transition to LakeSQL, CIAT have enabled the user-manager access to >300 additional datalakes, via OMNI, removing CIAT data transfer pipelines as a user data access constraint.

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.

Basic Qualifications

5+ 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

Preferred Qualifications

Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

Experience operating large data warehouses

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.

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 $139,100/year in our lowest geographic market up to $240,500/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.