Key job responsibilities
As a Data Engineer, you will be working in one of growing and challenging spaces of Selling Partner (SP) Support Org. You will design, implement and support scalable data infrastructure solutions to integrate diverse data sources, aggregate, curate data that can be used in reporting, analysis, machine learning models and ad-hoc data requests. You will be working on cutting edge AWS big data technologies. You should have excellent business and communication skills to be able to work with business owners and Tech leaders to gather infrastructure requirements, design data infrastructure, build up data pipelines and data-sets to meet business needs. You will be pivotal in designing scalable architecture for building robust applications and pipelines. You stay abreast of emerging technologies, investigating and implementing where appropriate.
A day in the life
A day in the life of Data Engineer is equally interesting and challenging. The interesting part is learning about business, ever expanding databases and codebases, internal tech stack for builders, AWS and many more. The challenging part of a data engineer's life is to apply these learnings in building robust and reliable data applications. A DE will be involved in driving both business and technical related discussions and making several key decisions contributing to the success of Selling Partner Operations and Business teams.
About the team
Selling Partner Insights and Analytics team's (SPIA) vision is to provide data and insights to accelerate stakeholder’s data-driven decisions. Our mission is to make it easier and faster for our internal customers to use analytics to shorten the path from data to insights
BASIC QUALIFICATIONS
- 4+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Knowledge of distributed systems as it pertains to data storage and computing
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
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 $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.