Data Engineer

How can we build talent pipelines to support Amazon’s growth? What is important for talent to be successful at Amazon? How can we better predict talent movement (promotions, transfers, attrition) and quantitatively identify the root causes? When does internal movement make the biggest impact on Amazon talent? These are among the most important questions at Amazon today.
As a Data Engineer on the Worldwide Operations Talent Products Team you will have an opportunity to collaborate with a team of economists, applied research scientists, software development engineers, and user interface developers in answering these questions and developing products for use by internal operations leaders to manage these insights at scale. This team will shape the strategic direction and inform talent decisions at the highest levels of Worldwide Operations, helping us to become the world’s most scientific and technically proficient Human Resource organization.

As a Data Engineer, you should be an expert in the architecture of DW solutions for the Enterprise using multiple platforms. You should excel in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business analysts and engineers to determine how best to design the data warehouse for reporting and analytics. You will be responsible for designing and implementing scalable ETL processes in the data warehouse platform to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making. You should have the ability to develop and tune SQL to provide optimized solutions to the business.

#LTM

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



Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Basic Qualifications

· A desire to work in a collaborative, intellectually curious environment.
· Degree in Computer Science, Engineering, Mathematics, or a related field or 4+ years industry experience
· Demonstrated strength in data modeling, ETL development, and data warehousing.
· Data Warehousing Experience with Oracle, Redshift, PostgreSQL, etc.
· Query performance tuning skills
· Coding proficiency in at least one modern programming language (Python, Ruby, Java, etc)

Preferred Qualifications

· Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets.
· Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
· Experience building data products incrementally and integrating and managing datasets from multiple sources
· Experience leading large-scale data warehousing and analytics projects, including using AWS technologies – Redshift, S3, EC2, etc.
· Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space
· Linux/UNIX.
· Experience with AWS