Website Amazon

Data Engineer

Job ID: 743042 | Amazon.com Services, Inc.

DESCRIPTION

Imagine being able to build the Earth’s most customer-centric company…in an organization that delivers a smile to millions of people every single day…and on a team that powers the recruitment of the most talented and motivated employees in the world through rich data insights and technological innovations. This is the reality of being part of Worldwide Operation’s Talent Acquisitions team. Everything we do is driven through analytics, and we need leaders who are owners, who have a bias for action, and who have a deep desire to build….to make the previously impossible possible.

You will provide a comprehensive platform for customers to access data and will be responsible for all aspects of enabling BI teams to retrieve and analyze data. You will work with developers, analysts, and research scientists to create reliable datasets for analysis and deliver results to customers.

Responsibilities include:
· Build and optimize database queries to increase the speed and accuracy of reporting solutions.
· Automate data extraction from multiple sources.
· Design, develop and establish KPIs to monitor analysis and provide insights
· Analyze data streams to find the best, most scalable reporting solutions
· Continually monitor the ETL processes to ensure high quality and accurate data

BASIC QUALIFICATIONS

· B.S. degree in computer science, engineering, technology or related field; or equivalent experience.
· 3+ years’ work experience in a relevant field.
· Experience working with SQL, relational databases, and Extract Transform Load (ETL) tools.
· Experience with a programming language (e.g. Java/C#) or a scripting language (Python/Perl) to process data.

PREFERRED QUALIFICATIONS

· Knowledge of data warehousing concepts.
· Knowledge and direct experience using business intelligence reporting tools. (OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes, Datanet, etc.)
· Experience supporting and working with cross-functional teams in a dynamic environment.
· Strong analytic skills related to working with unstructured datasets.
· Experience with large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, and EC2

(Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation)