DESCRIPTION
Job summary
If you aren't in Seattle but near a US Amazon corporate office and see this role as a fit, we would like to hear from you.
Do you love solving problems whose solutions make the world a better place? As the Amazon in the Community team, we are responsible for leveraging Amazon's assets for good, concentrating on the pillars of Education, Housing Equity, Disaster Relief, and Hunger. We design and build against what a child needs each day to show up at school, ready to learn and be curious: https://www.aboutamazon.com/impact/community
Our team is looking for a Data Engineer to deliver technical solutions to support Amazon’s charitable giving work around the world. As a Data Engineer, you will design, develop and enhance data systems and pipelines supporting Amazon's ability to scale our work with community partners, and to measure the activity and impact globally. You will be the subject matter expert for community impact and charitable giving data pipelines and usage that span 70+ data streams, while striving for efficiency by aligning data systems and data management approaches with organizational needs.
As a Data Engineer you will collaborate with other data engineers, software developers, business intelligence engineers as well as program and product partners to deliver end to end solutions that meet business goals. You will work with your internal customers to balance customer requirements with team requirements and develop data solutions to help your team and business evolve. A successful candidate will thrive in a highly collaborative, diverse, results-oriented environment that leverages agile planning techniques. We are looking for an engineer who is comfortable working through ambiguity and is a creative problem solver. And, of course, has a passion for the community.
BASIC QUALIFICATIONS
- 3+ years of experience as a Data Engineer or in a similar role
- Experience with data modeling, data warehousing, and building ETL pipelines
- Experience in SQL
PREFERRED QUALIFICATIONS
- Experience using AWS-based technologies including S3, Athena, Redshift, Spectrum, and Glue ETL.
- Track record of manipulating, processing, and extracting value from large and diverse datasets.
- A desire to work in a collaborative, intellectually curious environment.
- Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
- Experience building data products incrementally and integrating and managing datasets from multiple sources
- Experience providing technical leadership and mentor other engineers for the best practices in the data engineering space
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.