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Data Engineer II, Intl. Seller Services

Amazon.com Services LLC - A57 Seattle, WA

Seattle, WA

Today

$132k - $179k/yr Full time Analytics AWS Aws Data Engineer

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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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