Manager, Data Engineering , RING Data Services

- Experience managing a data or BI team
- 6+ years of processing data with a massively parallel technology (such as Redshift, Teradata, Netezza, Spark or Hadoop based big data solution) experience
- 6+ years of relational database technology (such as Redshift, Oracle, MySQL or MS SQL) experience
- 8+ years of developing and operating large-scale data structures for business intelligence analytics (using ETL/ELT processes) experience
- 5+ years of data engineering experience
- Experience managing a data or BI team
- Experience communicating to senior management and customers verbally and in writing
- Experience leading and influencing the data or BI strategy of your team or organization
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with AWS Tools and Technologies (Redshift, S3, EC2)

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 $129,100/year in our lowest geographic market up to $223,100/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.
RING is a new inventory and goods risk management program across WW Ops, that leverages learning, products and tools to reduce operational losses. RING engage in a wide variety of projects for customers and stakeholders, obsessing on strong success for our customers and stakeholders.
At RING DATA SERVICES, we aspire to be the business transformation platform of choice that reshapes the way our customers and stakeholders leverage technology to build and run their businesses. RING is seeking an outstanding Data Engineering Manager to join the Data and ETL team.
The RING Data team's mission is to help RING be a more data driven business. The data engineering and analytics is the backbone for how we measure what we are doing, where we are going, find new opportunities to test things, or find fresh problems to solve. We help RING to identify great metrics to define high impact projects and find drivers and components that make it succeed or fail. Finally, we arm decision makers with actionable information that can be as metrics, data tools or one-off insights to decide whenever they need to.



Key job responsibilities
• Ability to shape and build the AWS Data Platform and supporting systems for years to come
• Responsible for managing the team comprised of Data Engineers and BI Engineers
• Focus on data engineering innovation and core data platform services (Enterprise Data Lake and Data Warehouse) through self-service data products to gain business insights
• Spearhead enterprise wide data security, governance, and cost efficiency initiatives, empowered through the latest industry trends and best practices
• Experienced people manager who also possesses strong technical knowledge in data engineering, data observability, Infrastructure automation, data ops methodology, systems architecture, and development
• Experience managing an engineering team and have implemented large scale data engineering solutions consumed by a variety of applications and systems


A day in the life
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

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!


About the team
WWOS RING manages inventory and goods risk management program across WW Ops, that leverages learning, products and tools to reduce operational losses. RING engage in a wide variety of projects for customers and stakeholders, obsessing on strong success for our customers and stakeholders.