Senior Data Engineer, WWDE

Description

"We see our customers as invited guests to a party, and we are the hosts. It's our job every day to make every important aspect of the customer experience a little bit better." - Jeff Bezos, Founder & CEO.

We didn’t make Amazon a multi-billion dollar company, our customers did and we want to ensure that our customers always have a positive experience that keeps them coming back to Amazon. To help achieve this, the Worldwide Defect Elimination (WWDE) team relentlessly focuses on maintaining customer trust by building products that offer appropriate resolutions to resolve issues faced by our customers. WWDE engineers solve complex problems and build scalable, cutting edge solutions to help our customers navigate through issues and eliminate systemic defects to prevent future issues.

As a Senior Data Engineer, you will partner with Software Developers, Business Intelligence Engineers, Scientists, and Program Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data. The ideal candidate has strong business judgment, good sense of architectural design, written/documentation skills, and experience with big data technologies (Spark/Hive, Redshift, EMR, +Other AWS technologies). This role involves both overseeing existing pipelines as well as developing brand new ones for ML). The operating environment is fast paced and dynamic, however has a strong team spirited and welcoming culture. To thrive, you must be detail oriented, enthusiastic and flexible, in return you will gain tremendous experience with the latest in big data technologies as well as exposure (as desired) to statistical and Natural Language modeling through collaboration with scientist on global issue detection models and development.

A day in the life

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:

Medical, Dental, and Vision Coverage Maternity and Parental Leave Options Paid Time Off (PTO) 401(k) Plan

We are open to hiring candidates to work out of one of the following locations:

Seattle, WA, USA

Basic Qualifications

5+ years of data engineering experience Experience with data modeling, warehousing and building ETL pipelines Experience with SQL Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS Experience providing technical leadership and mentoring other engineers for best practices on data engineering Bachelor's Degree

Preferred Qualifications

Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience providing technical leadership on high-impact cross-fucntional technical project

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $123,700/year in our lowest geographic market up to $240,500/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Company - Amazon.com Services LLC

Job ID: A2617769