Data Engineer II, Intl. Seller Services
Analytics
AWS
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Job Description
Join Amazon’s International Seller Services (ISS) Central Analytics Data Engineering team to design and build data and ML infrastructure for GenAI-powered analytics on AWS.
Responsibilities
- Provide technical leadership by leading data engineering initiatives and building end-to-end analytical solutions
- Deliver analytics systems that are highly available, scalable, stable, secure, and cost-effective
- Design, implement, and operate large-scale, high-volume, high-performance data structures for analytics and data science
- Build data ingestion routines using best practices in data modeling and ETL/ELT processes with AWS and big data tools
- Collect business and functional requirements and translate them into robust, scalable, operable solutions using a flexible, adaptable data architecture
- Collaborate with engineers on best practices for data system creation, data integrity, test design, analysis, validation, and documentation
- Find opportunities to improve existing data solutions
Requirements
- 3+ years of data engineering experience
- 1+ years developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes
- 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 of experience in the job offered or a related occupation
- 1+ years developing and operating large-scale data structures for 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 and ELT (Extract, Transform, Load) / (Extract, Load, Transform)
- Non-relational databases, object storage, document or key-value stores, graph databases, column-family databases
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 such as Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases/data stores including object storage, document or key-value stores, graph databases, and column-family databases
Location: Seattle, WA (onsite)
Compensation: USD 132,100 - 178,800 per year
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