Data Engineer II, Intl. Seller Services
Analytics
AWS
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Job Description
Data Engineer II joins Amazon’s International Seller Services (ISS) Central Analytics Data Engineering team, building data and ML infrastructure for GenAI applications on AWS.
Responsibilities
- Provide technical leadership and drive data engineering initiatives for end-to-end analytical solutions
- Build highly available, scalable, stable, secure, and cost-effective analytics systems
- Design, implement, and operate large-scale, high-volume, high-performance data structures for analytics and data science
- Implement data ingestion routines using best practices in data modeling and ETL/ELT workflows
- Leverage AWS technologies and big data tools to deliver ingestion and transformation pipelines
- Collect business and functional requirements and convert them into robust, scalable, operable solutions
- Maintain a flexible, adaptable data architecture that supports evolving needs
- Collaborate with engineering teams on data system best practices, including data integrity, test design, analysis, validation, and documentation
- Spot improvement opportunities across existing data solutions and recommend enhancements
Requirements
- 3+ years of data engineering experience
- 1+ year developing and operating large-scale data structures for BI analytics using ETL/ELT processes
- 1+ year developing and operating large-scale data structures for BI analytics using OLAP technologies
- 1+ year developing and operating large-scale data structures for BI analytics using data modeling
- 1+ year developing and operating large-scale data structures for BI analytics using SQL
- 1+ year developing and operating large-scale data structures for BI analytics using Oracle
- 3+ years in the job offered or a related occupation experience
- 1+ year experience developing and operating large-scale data structures for BI analytics using ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform)
- Bachelor’s degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Mathematics, or a related field
- Experience with data modeling, warehousing, and building ETL pipelines
Technologies
- AWS, Redshift, S3
- AWS Glue, EMR
- Kinesis, FireHose, Lambda
- IAM
- OLAP, SQL, Oracle
- ETL, ELT
- Non-relational databases
- Object storage, document or key-value stores
- Graph databases, column-family databases
Location and Schedule
- Seattle, WA (onsite)
Compensation
- USD 132,100 - 178,800 per year
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- Health insurance: medical, dental, vision, prescription, Basic Life & AD&D, 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
Preferred Qualifications
- Experience with AWS technologies including 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
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