Data Engineer

Job description

DESCRIPTION

Amazon's Product Quality team works to ensure that buyers receive authentic and safe products. We design and implement policies, tools and technology innovations to protect the buying experience on Amazon while minimizing friction for sellers.

Our team is seeking an exceptional engineer who is passionate about data and the insights that large amounts of data can provide, who thinks/acts globally, and who has the ability to contribute major novel innovations in the industry to fill the role of a Data Engineer in Product Quality team. The role will focus on working with a team of data engineers, business and tech savvy professionals to lay down a high performance data architecture to ingest large amounts of structured/unstructured data and work with stakeholders to drive business decisions based on these datasets. The ideal candidate will possess both a data engineering background and a strong business acumen that enables him/her to think strategically and add value to improve the buying experience. He/she will experience a wide range of problem solving situations, strategic to real-time, requiring extensive use of data collection and analysis techniques such as data mining and machine learning. In addition, the data engineering role will act as a foundation for the business intelligence team and be forward facing to all levels within the organization.

Desired profile

BASIC QUALIFICATIONS

Bachelor's Degree in Computer Science or a related technical field. · 2+ years of experience developing data management systems, tools and architectures using relational databases, Redshift and/or other distributed computing systems.
· Familiarity with new advances in the data engineering space such as EMR and NoSQL technologies like Dynamo DB.
· Experience designing and operating very large Data Warehouses.
· Demonstrated strong data modelling skills in areas such as data mining and machine learning.
· Skilled in presenting findings, metrics and business information to a broad audience consisting of multiple disciplines and all levels or the organizations.
· Track record for quickly learning new technologies.
· Solid experience in at least one business intelligence reporting tool.