Data Engineer

Job description

DESCRIPTION

We are seeking a Data Engineer in our AWS Training and Certification team that will drive projects and build data interface that improve the efficiency of our global operations. This role requires the ability to work comfortably with software engineers and with business stakeholders.

In this role, you will drive the development of data engineering solutions from initial experimentation to production level deployment, including:

* Identifying gaps and improvement opportunities in existing data infrastructure.

* Design, implement, and maintain a cutting-edge cloud-based data-infrastructure for large data-sets.

* Create and manage large datasets by extracting, transforming, combining, and loading data from various heterogeneous data sources.

* Maintain data integrity, availability, and auditability. Manage AWS resources. Drive the adoption of new technologies and new best practices.

As the owner of your projects, you need to clearly set the goals and communicate the latest status to internal business customers. The ideal candidate can work independently, enjoys tackling ambiguous yet complex problems, and thrives in a fast-paced environment.

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree in Computer Science, applied mathematics, engineering, or related fields
· 2 years of industry experience as a Data Engineer or related specialty with demonstrable track record in developing data solutions that are correct, stable, and high performing; provide business value; and use resources efficiently (e.g., system hardware, data storage, query optimization, AWS infrastructure etc.).
· Coding proficiency in one or more language (e.g. Python, Scala, Ruby, Java), proficiency in one or more querying languages (e.g. SQL, HiveQL, SPARQL), and familiarity with one or more schema definition languages (e.g. DDL, SDL, XSD, RDF)