Data Engineer II, Intl. Seller Services
Analytics
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Job Description
Data Engineer II role on Amazon’s International Seller Services (ISS) Central Analytics Data Engineering team, building data and ML infrastructure for GenAI applications.
Responsibilities
- Lead data engineering initiatives and deliver end-to-end analytical solutions that are highly available, scalable, stable, secure, and cost-effective
- Design, implement, and operate large-scale, high-volume, high-performance data structures supporting analytics and data science
- Build data ingestion workflows using best practices for data modeling and ETL/ELT leveraging AWS technologies and big data tooling
- Collect business and functional requirements and convert them into robust, scalable, operable solutions using a flexible, adaptable data architecture
- Partner with other engineers to adopt best practices across data system creation, data integrity, test design, analysis, validation, and documentation
- Review existing data solutions and identify opportunities for improvement
Requirements
- 3+ years of data engineering experience
- 1+ years developing and operating large-scale data structures for business intelligence analytics using ETL/ELT
- 1+ years developing and operating large-scale data structures for business intelligence analytics using OLAP technologies
- 1+ years developing and operating large-scale data structures for business intelligence analytics using data modeling
- 1+ years developing and operating large-scale data structures for business intelligence analytics using SQL
- 1+ years developing and operating large-scale data structures for business intelligence analytics using Oracle
- 3+ years in the job offered or a related occupation experience
- 1+ years with large-scale business intelligence analytics using each of the following: 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 (Extract, Transform, Load; Extract, Load, Transform)
- Non-relational databases and object storage
- Document or key-value stores, graph databases, column-family databases
Location
- 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 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
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 such as object storage, document or key-value stores, graph databases, and column-family databases
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