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About the Role
Amazon is seeking an exceptional data engineer to build and maintain data sources that power decision-making, aiming to develop new ways to build trust and loyalty with sellers. This role offers high visibility and significant impact for individuals willing to dive deep and achieve results.
Responsibilities
- Unify fragmented data pipelines.
- Build robust data models.
- Ensure reliable data lineage across multiple product areas.
- Partner closely with software engineers, product managers, and analytics teams to develop data solutions.
- Architect and implement scalable, reliable, and secure data pipelines and infrastructure.
- Design and enforce data modeling standards, data lineage, and governance frameworks.
- Lead design and code reviews, driving engineering best practices.
- Build data platforms and frameworks supporting batch and real-time processing.
- Implement secure and compliant data solutions meeting regulatory requirements.
- Evaluate and introduce emerging technologies to improve data platform performance.
- Collaborate with cross-functional teams to gather data requirements and define solution architectures.
- Mentor junior engineers and contribute to team hiring and onboarding.
Requirements
- 3+ years of data engineering experience.
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes.
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies.
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling.
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL.
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle.
- 3+ years of experience in the job offered or a related occupation.
- 1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL (Extract, Transform, Load)/ELT (Extract, Load, Transform) processes.
- Experience with data modeling, warehousing, and building ETL pipelines.
Skills
- Big data technologies
- Data modeling
- Problem-solving
- AWS technologies (Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, IAM roles and permissions)
- Non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)
Location
- USA, WA, Seattle
Work Type
- Full-time
Experience Level
- 3+ years
Education Level
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Information Systems, Mathematics, or a related field
Salary/Compensations
- 132,100.00 - 178,800.00 USD annually
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
- 401(k) matching
- Paid time off
- Parental leave
About the Company
- Amazon strives to be Earth's most customer-centric company, reinventing how people shop online and providing sellers with a platform for growing successful businesses.
- Our inclusive culture empowers Amazonians to deliver the best results for our customers.
Equal Opportunity
- Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
- If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.