As a Business Intelligence / Data Engineer you will enable data-driven decision making within the Amazon Web Services (AWS) Data Center Infrastructure Operations organization.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 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 dash boarding.
- Build ETLs to ingest the data into the data warehouse and datalake, as well as end-user facing reporting applications.- Partner with business customers and development teams to define analytics requirements and then deliver flexible, scalable, end-to-end solutions.This position requires that the candidate selected be a US Citizen and must currently possess an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.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.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.
- 1+ years of data engineering experience and Associate's degree, or GSEC (GIAC Security Essentials)
- Experience with data modeling, warehousing, building ETL pipelines, and experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala and experience with one or more scripting language (e.g., Python, KornShell)
- Current, active US Government Security Clearance of TS/SCI or above
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
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