Key job responsibilities
This role will be responsible for:
- Design and implement data pipelines to support machine learning models and critical business initiatives of AMP product across North American, Europe and Japan.
- Collaborate with peer group to build WW Installments data platform and solutions used by teams worldwide to access reporting, deep dives, and installment related insights.
- Work closely with product managers, software development engineers, scientists and business intelligence engineer to develop and execute the AMP product roadmap.
- Engage business stakeholders in constructive dialogues to convert business problems into data pipeline logic. Identify new opportunities to influence business strategy and product vision using data.
- Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service modeling and production support for customers.
- Establish and maintain best practices for the design, development, support of data integration solution, including documentation.
A day in the life
Amazon offers a full range of benefits that support 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
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- 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, 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.