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Business Intelligence / Data Engineer

Business Intelligence / Data Engineer

Job ID 
Posted Date 
Amazon Web Services Ireland Limited
Position Category 
Software Development
Recruiting Team 

Job Description

As a Business Intelligence / Data Engineer you will enable data-driven decision making within the Data Center Global Services (DCGS) organization.
The AWS DCGS Team is responsible for planning, implementing, monitoring and continuously improving the global Amazon Data Center infrastructure. The opportunities for providing insights are endless: from data center configuration and operations to security, from construction engineering optimization to energy strategy consumption and many more.
You’ll be designing, developing and maintaining the information and insights platform that enables data-driven decision making for the DCGS organization.
You should have expertise in the design, creation, management, and business use of large datasets.
You should have excellent business and communication skills to be able to work with business owners to understand data requirements and to build ETL to ingest the data into the data warehouse as well as end-user facing reporting applications. Above all, 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 support both external AWS customers and internal customers.
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.

Basic Qualifications

Bachelor’s Degree in Computer Science, Information Systems, Mathematics, Statistics, Finance, Business, related field or equivalent working experience
5+ years working experience with Data modeling, SQL, ETL and Data Warehousing
Expert in writing SQL scripts Expert knowledge in an enterprise class RDBMS
Experience with enterprise-class Business Intelligence tools such as Microstrategy, PowerBI, Tableau, Oracle BI, Penthao, etc.
Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.
Ability to balance and prioritize multiple conflicting requirements with high attention to detail.

Preferred Qualifications

Comfortable working in a Linux environment
Experience with scripting language such as Python, Perl, Ruby or Javascript
Experience with MPP databases such as Redshift
Knowledge of AWS products and services
Exposure to predictive/advanced analytics and tools (such as R, SAS, Matlab)
Exposure to noSQL databases (such as DynamoDB, MongoDB)