Key job responsibilities
- Design, implement, and deploy GO-AI data solutions that are high quality (e.g., secure, testable, maintainable, low-defects, efficient, well documented etc.) and incorporate best practices.
- Focus on operational excellence, constructively identifying problems and proposing solutions, taking on projects that improve GO-AI’s data architecture, making it better and easier to maintain.
A day in the life
Amazon offers a full range of benefits for 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!
BASIC QUALIFICATIONS
- 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
- Have a solid understanding of data design approaches and how to best use them
- Bachelor's degree in engineering, computer science or relevant field
PREFERRED QUALIFICATIONS
- Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, FireHose, Lambda, IAM roles and permissions, Athena, RDS, DynamoDB, and AWS Elastic Search
- Experience with relational and non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
- Experience coding in Python and typescript
- Experience designing and operating large data warehouses
- Experience writing REST APIs
- Experience working with cross-functional engineering teams developing artificial intelligence, machine learning, and/or robotic solutions
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.