Quality Control jobs in United States, Ohio, Dublin

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- Ability and willingness to think outside of the box to find creative and innovative solutions to reduce costs while maintaining or improving quality, reliability, or maintainability
- The QA engineer will focus on fiber optic and optic components, cabling and interconnect products, technologies and standards at this point. The scope may expand to mechanical and electrical (M&E) and other mission critical components later.- Candidates must be responsive and communicate with technical teams to collect requirements and communicate with internal customers to describe features, technical designs and strategy.
- Identify and respond to risks and high-priority issues rapidly and effectively- Travel 40+% to review projects and coordinate with onsite personnel and contractors at AWS' Data CentersKey job responsibilities
- Drive quality through education and inspections
- Ability to effectively communicate both orally and in writing
- Stand/walk/crouch throughout the work shift
- Use Microsoft Office products efficiently
- Research and review technical documents and structural drawingsA day in the life
As a member of this team, you will work directly with engineers and managers across the company to develop structured cabling and installation standards. You will also be charged with visiting our data centers and ensuring that we are following these standards while also collecting lessons learned so we are continually improving.Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.
Mentorship & Career Growth
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.Work/Life Balance

- 3+ years of experience in QA methodology and tools
- - 3+ years of Data Center project management and/or engineering experience effectively collaborating with technical and engineering teams
- 4+years in either fiber optic cable, optic components, cabling and interconnect products, technologies and standards (Optional: M&E and other mission critical facilities).

- BICSI RCDD and/or DCDC certification, or Familiar with either ISO9001 / ISO11801, TIA568C, TIA942 and/or ANSI/BICSI 002-2014
- Experience in documenting corporate standards, best practice guidelines and/or manuals
- Quality Assurance Certifications (CQA/CQE)
- Multi-region and/or global experience

This position requires that the candidate selected be a U.S. citizen.Key job responsibilities
- Collaboration and Product Development: Interact with business and software teams to understand their business requirements and operational processes, to inform system design
- Data Modeling and Architecture: Develop robust data models and architectures that support the organization's data-driven initiatives, ensuring data quality, consistency, and accessibility.
- Data Pipeline Development: Design, build, and maintain efficient, scalable, and reliable data pipelines to ingest, transform, and load data from various sources into a unified data platform.
- Scalability and Performance: Design and implement scalable data solutions that can handle increasing data volumes and support high-performance data access and querying.
- Develop & Hire the Best: Interview, mentor, and develop Data Engineers across the organization
- Documentation & Continuous Improvement: Create, enhance, and maintain technical documentation
Utility Computing (UC)Work/Life BalanceMentorship and Career GrowthWe’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.Diverse ExperiencesAmazon 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.

- 5+ years of data engineering, database engineering, business intelligence or business analytics 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
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

- 7+ years of data engineering experience
- Experience building data products incrementally and integrating and managing data sets from multiple sources
- Experience operating large data warehouses
- Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Knowledge of distributed systems as it pertains to data storage and computing