Data Engineer, Data Center Engineering Analytics

AWS is the world's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuously innovating.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Cloud

Description For Data Engineer, Data Center Engineering Analytics

Amazon Web Services (AWS) is seeking a highly analytical Data Engineer to join their Data Center Engineering team. This role is crucial for maintaining AWS data center availability and directly impacts customer experience. The position involves building data pipelines and solutions to harness operational data from the AWS fleet, supporting business intelligence solutions, and ensuring data reliability for decision-making processes.

The ideal candidate will join AWS Infrastructure Services, which owns the design, planning, delivery, and operation of all AWS global infrastructure. The team is responsible for keeping the cloud running, managing data centers, servers, storage, networking, power, and cooling equipment. This ensures customers have continuous access to AWS services.

As a Data Engineer, you'll collaborate with Business Intelligence Engineers and partner teams to develop scalable data infrastructure that aligns with AWS architecture. Key responsibilities include understanding operational data from the AWS fleet, building data retrieval mechanisms, optimizing query performance, and maintaining data reliability. You'll work on challenging problems involving thousands of variables affecting the supply chain.

The role offers opportunities to work with a diverse team including software, hardware, and network engineers, supply chain specialists, and security experts. AWS values work-life harmony and promotes an inclusive culture where bold ideas are welcomed. The company provides extensive career development resources, mentorship opportunities, and supports employee-led affinity groups that foster diversity and inclusion.

This position requires strong analytical abilities, technical skills, and a data-driven approach to decision-making. The ideal candidate should be comfortable with ambiguity, creative in problem-solving, and capable of delivering innovative solutions within tight timeframes. If you're passionate about using data to drive engineering solutions that form the foundation of AWS data centers, this role offers an exciting opportunity to make a significant impact.

Last updated an hour ago

Responsibilities For Data Engineer, Data Center Engineering Analytics

  • Collaborate with Business Intelligence Engineering team members and stakeholders to gather requirements
  • Build robust, scalable data infrastructure
  • Develop understanding of operational data from AWS fleet
  • Build mechanisms for retrieving and aggregating data
  • Take ownership of data reliability
  • Perform deep-dives to find root causes of data anomalies
  • Optimize performance of data queries
  • Address ETL procedures

Requirements For Data Engineer, Data Center Engineering Analytics

Python
Java
  • Bachelor's degree
  • 3+ years of data engineering experience
  • 3+ years of SQL experience
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS

Benefits For Data Engineer, Data Center Engineering Analytics

  • Work-life harmony
  • Flexible working culture
  • Mentorship opportunities
  • Career development resources
  • Employee-led affinity groups
  • Inclusive team culture

Interested in this job?

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