Data Engineer - AWS

Job description

DESCRIPTION

Amazon Web Services (AWS) is one of Amazon's fastest growing businesses. We are passionate about thinking big, innovating on behalf of our customers, and tackling problems at scale. Cloud computing is disrupting, and we are eagerly seeking talented, entrepreneurial-minded individuals to join us as we continue build on the AWS platform.

We are looking for an experienced data engineer to support our service team: AWS Certificate Manager (ACM). This is a new role on a team with very lofty goals. We need a strong data engineering leader to help us identify trends, make better decisions, and measure our performance. It's a bold challenge with huge upside and great visibility.
The right candidate will be a self-starter, bringing together strong experience in data engineering and business intelligence, along with a roll-up-your-sleeves, entrepreneurial approach to solving problems at scale. This position requires a solution-oriented candidate with a combination of business acumen, knowledge of statistical best practices, and an analytical mindset. You should have strong working knowledge of the latest big-data systems and tools with a proven track record of delivering results. You must have the ability to work with diverse stakeholder groups to solve business problems and provide data solutions that are organized and simple to understand. You will be part of a world-class team in a fast-paced environment that has the feel of a start-up.

Amazon is an exciting environment where we “Work Hard, Have Fun, Make History.” We do not desire to simply produce good solutions here at AWS... we want to produce disruptive, history-changing innovations. This is an opportunity to join a growing AWS service team, gain top-notch experience in cloud computing, and help bring new disruptive solutions to market at massive scale.

Desired profile

BASIC QUALIFICATIONS

- B.S. degree in mathematics, statistics, computer science or a similar quantitative field
- 5+ years' work experience and detailed knowledge of data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools.
- 3+ years of work experience with very large data warehousing environment
- Experience in designing and building data warehouse solutions and integrating technical components
- Experience in gathering requirements and formulating business metrics for reporting.
- Experience in using SQL to analyze data in a database or data warehouse and a major programming (e.g. Python/Java) and/or a scripting language (Perl, Unix shell) to process data for modeling
- Experience working with a wide range of predictive and decision models and data mining techniques, as well as tools for developing such models
- Excellent communication skills, both written and verbal