Amazon.com Services LLC
Data Science, Business Intel Engineer, Cloud Computing
BusinessIntelligenceEngineer,DataServices&Analytics
Neural analysis suggests this role is
optimal for Mid candidates.
“Business Intelligence Engineer, Data Services & Analytics at Amazon.com Services LLC. Skills: Data engineering, Data pipelines, Data analysis. Interface with PMs. Interface with business customers”
Industry & Context.
Analytical; Strategic
What They're Looking For.
Must Have
3+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience with Tableau, Experience with Quicksight, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines, Experience with R, Experience with SAS, Experience with Matlab, Experience using SQL, Scripting experience with Python
Nice to Have
Experience with AWS solutions, Experience with EC2, Experience with DynamoDB, Experience with S3, Experience with Redshift, Experience in data mining, Experience with ETL, Experience using databases, Experience with large-scale datasets, Experience with complex datasets
What You'll Do.
Interface with business customers
Interface with software developers
Understand requirements
Design data pipelines
Develop data pipelines
Operate data pipelines
Explore AWS big data technologies
Evaluate software products
Make decisions on software products
Design data architecture
Recognize best practices
Ensure data integrity
Document data processing
How You'll Work.
Team & Collaboration
Product managers; Software development engineers; Business intelligence engineers; Operation managers; Leaders
Full Job Description
AWS Support is one of the largest and fastest growing business units within AWS. We are a highly technical, innovative organization revolutionizing the customer engagement processes and offers topnotch technical support for the portfolio of products and features of AWS. We are comitted to redefine the word “Support” and lead the industry with best in class technology. We are looking for an experienced, self-driven, analytical, and strategic Data Engineer. In this role, you will work across a large and complex data lake/warehouse environment. You are passionate about working with disparate datasets in order to bring data together to answer business questions. You should have deep expertise in the creation and management of datasets and the proven ability to translate the data into meaningful insights through collaboration with product managers, software development engineers, business intelligence engineers, operation managers and leaders. In this role, you will have ownership of end-to-end development of data engineering solutions to complex questions and you’ll play an integral role in strategic decision-making. In this role, you will have the opportunity to display and develop your skills in the following areas: Interface with PMs, business customers, and software developers to understand requirements and implement solutions Design, develop, and operate highly-scalable, high-performance, low-cost, and accurate data pipelines in distributed data processing platforms with AWS technologies providing ad hoc access to large datasets and computing power Explore and learn the latest AWS big data technologies, evaluate and make decisions around the use of new or existing software products to design the data architecture Recognize and adopt best practices in data processing, reporting, and analysis: data integrity, test design, analysis, validation, and documentation Key job responsibilities 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. expe
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