Sr. Data Engineer, Amazon Customer Service
Amazon
DESCRIPTION
Amazon is looking for a motivated Senior Data Engineer with strong database, analytical skills and big data technology experience to join the Customer Service Worldwide Defect Elimination (WWDE) Organization. WWDE drives Amazon to provide excellent customer experiences by remediating issues in real-time, reducing defective products and purchasing experiences, and enabling others through our suite of Voice of the Customer tools. To expand and innovate on this vision, WWDE is seeking a passionate, customer obsessed, Sr. Data Engineer to manage one of our key customer experiences - concession resolutions and escalations helping us unite all of our policies across Amazon.
This is an exciting opportunity to re-envision the data architecture across our concessions systems and be hands-on to deliver your data solutions end-to-end and bring your impact to the teams immediately. As a key data solution provider, you will be partnering with business teams, leaders, engineering teams, and scientists and business intelligence analysts to design, build, expand and optimize data solutions to ensure data scalability, stability, and accuracy. You will be working with massive amount of data , and your big data solutions will be supporting our rapidly growing, complex and dynamic businesses demand for data.
Finally yet importantly, you should have excellent communication skills and the ability to adjust communication to different groups of stakeholders, collaborating with BI engineers, data scientists, software engineers, product managers, program managers, and leadership to evaluate business needs and objectives in order to set up the best data management environment.
Key job responsibilities
- Understand unique business needs, review existing tech stack and data landscape, design/re-design, implement and build an analytical data infrastructure for multiple ads businesses.
- Influence upstream and partner data teams to ensure the reliable data solutions for our team.
- Manage AWS resources including EC2, EMR, S3, Glue, Redshift, etc.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
- Explore, learn and adopt the latest AWS technologies to provide new capabilities and increase efficiency.
- Collaborate with and support Business Intelligence Engineers (BIEs) to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
- Work with stakeholders to understand the business questions and define requirements and build out scalable data solutions.
- Support and continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
A day in the life
You will work closely with senior leaders across cross-functional stakeholder teams within Amazon to drive collaboration and influence them to prioritize projects, meet objectives, and adhere to business plans towards shared objectives.
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)