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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.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.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.
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.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’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.
- 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
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
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