The International stores Finance Central tech team is looking for a passionate and solution oriented Data Engineering for designing and implementing the complex ETL pipelines and analytics solutions to support the rapidly growing and dynamic business demand for data, and use it to deliver the data as service which will have an immediate influence on day-to-day decision making at Amazon
We are seeking a strong, experienced Data Engineering who will lead the technical design, development and launch of a new global system that will serve finance needs worldwide. Their technical skill set will deliver a new system and services that will be at the core of making it easier for customers to do business with Amazon Retail. A strong candidate will have experience with designing and building secure, distributed systems that operate globally. They will have experience in building on AWS, and be responsible for the architecture, design and implementation that will provide availability, and latency guarantees. Finally, they will be leaders on the team, and will raise the bar for the organization by mentoring junior engineers, interviewing and setting a high bar for coding standards.
Key job responsibilities
5+ years as a Data Engineer or in a similar role
Experience managing a data or BI team
Experience with data modeling, data warehousing, and building ETL pipelines
Experience leading and influencing the data strategy of your team or organization
Experience in SQL
A Bachelor's degree in Computer Science or similar major
Hands-on experience leading delivery and operations of distributed, high quality systems
Fundamentals in data structures, algorithm, problem solving, and complexity analysis- 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 mentoring team members on best practices- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, 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 $139,100/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.
