Amazon.com Services LLC
Database Administration, Data Engineering, operations
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Amazon.com Services LLC. Skills: Data engineering, ETL, Data warehousing, Data modeling. Design analytical infrastructure. Implement analytical infrastructure”
What You'll Achieve.
Deliver high quality results
Industry & Context.
Analytical skills
What They're Looking For.
Must Have
1+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with SQL, Experience with Python
Nice to Have
Experience with Hadoop, Experience with Hive, Experience with Spark, Experience with EMR, Experience with Informatica, Experience with ODI, Experience with SSIS, Experience with BODI, Experience with Datastage
What You'll Do.
Design analytical infrastructure
Implement analytical infrastructure
Support analytical infrastructure
Provide ad-hoc access to datasets
Provide ad-hoc access to computing power
Extract data from sources
Transform data from sources
Load data from sources
Improve reporting processes
Improve analysis processes
Automate self-service support
Simplify self-service support
Explore latest technologies
Learn latest technologies
Provide new capabilities
How You'll Work.
Team & Collaboration
Technology teams; Partner systems; Architects; BI engineers; Scientists; Business analysts; Business managers; Peers
Communication Scope
Verbal communication; Written communication
Full Job Description
At Amazon, we are working to be the most Customer-centric company on earth. If you would like to help us build an excellent delivery experience, this is your chance to make history. The Worldwide Speed team continues to innovate with delivery speed initiatives for customers with the objective ensuring Amazon continues to own ‘fast’ in the minds of our customers. The Worldwide Speed Team is looking for an experienced Data Engineer. As a Data Engineer, you will need to review technical , develop and enhance systems and pipelines supporting process optimization in reporting, planning, and monitoring activities in Engineering Services, as well as integrate in-house infrastructure with partner systems. You should be an expert in the architecture of warehousing solutions, using multiple platforms and tools. In addition, you should have strong analytical skills and excel in the , creation, management, and business use of large sets, combining raw information from different sources. Similarly, you will be responsible for designing and implementing scalable extract, transform, and load processes to support the rapidly growing and dynamic business demand for , and use it to deliver the as a service, which will have an immediate influence on day-to-day business decision making. Moreover, you will create automated alarming and dashboards to monitor integrity. Finally yet importantly, you should have very good communication skills and ability to adjust communication to different groups of stakeholders, collaborating with architects, BI engineers, scientists, business analysts/managers, to evaluate business needs and objectives in order to set up the best management environment. Overall, you will be the subject matter expert for the structures and usage, while striving for efficiency by aligning systems with business goals. Key job responsibilities - Design, implement and support an analytical infrastructure providing ad-hoc access to large datasets and computing power - Interfac
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