Description

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success.

Come join the Marketplace Team in our mission to change the way enterprise software are bought and sold! Marketplace enables software sellers to reach all customers; and enables software buyers to easily discover, purchase and consume software. Our goals include enriching the platform to support more diverse selection, improving buyer and seller experience and implementing new ideas to add new dimensions to the product. Our vision is to make Marketplace one stop shop for buying and selling software just like Amazon.com is for retail.

We are looking for an experienced Data Engineer to help the team take Marketplace to the next level. As a Data Engineer on the team you will own significant portions of the product and will have significant influence on our strategy by helping define the next wave of product features and system architecture. The systems are complex and there are huge opportunities to work at all levels from the front end user experience, to a set of robust platform services, to system level pieces and everything in between. You should be somebody who enjoys working on complex system software, is customer-centric, and is passionate about building quality software as well as achieving operational excellence. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are essential.

The ideal candidate will have a demonstrable track record of success delivering new features or products. They have strong and implementation experience, strong knowledge of web services and protocols, and an in-depth knowledge of systems architectures. Experience with asynchronous workflow, big-data and AWS technologies is a plus.

About the team

ABOUT AWS:

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic Qualifications

• 3+ years of data engineering experience

• Experience with data modeling, warehousing and building ETL pipelines

• Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby

• Experience with SQL

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, disability, age, or other legally protected status. If you would like to request an accommodation, please notify your Recruiter.

The base salary for this position ranges from $103,300/year up to $172,600/year. Salary is based on a number of factors 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. Applicants should apply via our internal or external career site.