What are the responsibilities and job description for the Data Engineer, Amazon Customer Service position at Amazon?
DESCRIPTION
Amazon is seeking a candidate that is passionate about leveraging data to deliver actionable insight that impacts business decisions to improve the customer experience within the Global Customer Service Concessions Team.
The Global Concessions Team focuses on systematically identifying and eliminating defects leading to returns and egregious experiences for customers across different marketplaces. We do this through regional programs and working with resolver teams around the world.
In Concessions we embrace our differences and are committed to furthering our culture of inclusion. We do this by attracting, developing, and retaining amazing talent from diverse backgrounds.
We are looking for an individual who is curious, motivated, and able to work effectively with diverse peers; someone who will amplify the positive and inclusive team culture we’ve been building.
Key job responsibilities
As a Data Engineer, the ideal candidate will partner with Software Developers, Business Intelligence (BI) Engineers, Scientists, and Program Managers to develop scalable and maintainable data pipelines on both structured and unstructured (text based) data.
This candidate should have strong business judgment, a good sense of architectural design, written/documentation skills, and experience with big data technologies (Spark/Hive, Redshift, EMR, Other AWS technologies).
This role involves overseeing existing pipelines as well as developing brand new ones for reporting and data warehousing. The operating environment is fast paced and dynamic, however has a strong team spirit and welcoming culture. To thrive, the ideal candidate must be detail oriented, enthusiastic and flexible, and in return they will gain tremendous experience with the latest big data technologies as well as exposure (as desired) to statistical and Natural Language modeling through collaboration with scientists on global issue detection models and development.
A day in the life
A successful Data Engineer will be highly collaborative and organized, capable of prioritizing multiple deliverables, and effective at communicating progress and blockers. This candidate should feel comfortable working across multiple data-sources and be capable of participating in and understanding how multiple systems communicate information to one another.
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:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan
About the team
We are a group that has fun at work, cares about the impact of our products, and is not just focused on the bottom line. Our growing team has the rare opportunity of directly impacting the customer experience by generating insights that improve supply chain efficiencies. We are backed by a strong leadership group dedicated to operational excellence that empowers a reasonable work-life balance. As an established, experienced team, we offer the scope and support needed to achieve substantial career growth. Come join us and innovate with the Amazon Stores Customer Services, Concessions BI Team!
BASIC QUALIFICATIONS
- 3 years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience in building pipeline in Apache Air flow or similar tools.
- Experience with one or more scripting language (e.g., Python, KornShell)
- Bachelor's Degree
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $118,900/year in our lowest geographic market up to $205,600/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.
Salary : $118,900 - $205,600
