Amazon.com Services LLC

Data Science, Data Engineering, selling partner services

DataEngineerII,PerfectOrderExperience

$100–179k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Engineer II, Perfect Order Experience at Amazon.com Services LLC. Skills: Data engineering, Business intelligence, Data modeling, SQL. Design analytical platform. Build analytical platform”

Industry & Context.

Data Science, Data Engineering, selling partner services
Problems you'll solve

Problem solving; Data-driven solutions

What They're Looking For.

Must Have

5+ years of SQL experience, 5+ years of data engineering experience, 5+ years of database engineering experience, 5+ years of business intelligence experience, 5+ years of business analytics experience, Experience in data warehouse technical architectures, Experience in data modeling, Experience in ETL/ELT, Experience in reporting/analytic tools, Knowledge of databases, Knowledge of storage, Knowledge of big data concepts, Experience building/operating highly available, distributed systems, Experience with data extraction, Experience with data ingestion, Experience with processing of large data sets, Bachelor's degree in computer science, Bachelor's degree in engineering, Bachelor's degree in statistics, Advanced skills using SQL with large data sets

Nice to Have

Experience with AWS technologies, Experience with Redshift, Experience with S3, Experience with AWS Glue, Experience with EMR, Experience with Kinesis, Experience with FireHose, Experience with Lambda, Experience with IAM roles and permissions, Experience with non-relational databases, Experience with object storage, Experience with document stores, Experience with key-value stores, Experience with graph databases, Experience with column-family databases, Experience working with Batch data processing systems, Experience working with Real Time data processing systems

What You'll Do.

Design analytical platform

Build analytical platform

Maintain analytical platform

Provide access to large datasets

Provide computing power

Maintain data clusters

Provide access for business needs

Provide insights for business needs

Design data pipelines

Maintain data pipelines

Transport relevant data

Implement data structures

Collaborate with Engineering teams

Collaborate with Science teams

Implement advanced analytics algorithms

Perform statistical analysis

Perform machine learning

Adopt best practices in reporting

Adopt best practices in analysis

Ensure data integrity

Build robust data integration pipelines

Build scalable data integration pipelines

Build robust ETL pipelines

Build scalable ETL pipelines

Author Data handling best practices

Evangelize Data handling best practices

Interface with technology teams

Extract data from sources

Transform data from sources

Load data from sources

Improve reporting processes

Improve analysis processes

Automate self-service support

Simplify self-service support

How You'll Work.

Team & Collaboration

Business teams; Engineering teams; Technology teams

Full Job Description

Are you passionate about building data engineering platform and using data driven solutions to solve a variety of problems? Do you have a solid background in data engineering, statistics, and analysis? We’re looking for a Data Engineer to join our Perfect Order Experience - Centralized Analytics and Data Engineering team. This is your opportunity to be part of Perfect Order Experience (POE) team at Amazon which is responsible for providing buyers a perfect order experience so they can shop with confidence on Amazon. The team's mission is to ensure buyers receive authentic, non-infringing products in the condition and with the functionality they expect, and to quickly make things right if anything goes wrong. We do this by ensuring that Buyers receive authentic, non-infringing products in the condition and with the functionality they expect, and by giving them the confidence that Amazon stands behind every product and will quickly make it right in the rare chance anything goes wrong. We leverage leading-edge technology and AI to detect, prevent, and remediate risk at scale, collaborate deeply with brands to protect their intellectual property, and empower selling partners to build customer trust and long-term success. We’re very interested in candidates with a strong data engineering and business intelligence background. Successful candidates will have a proven track record of rapidly solving problems with data, is highly analytical and possess a strong passion for developing insights. You will work with a variety of stakeholders including business and engineering teams across the organization. You should have hands-on knowledge of various AWS technologies revolving around data storage and management. You should love working with data, be driven to dive deep, and socialize business impacts to guide the broader organization. A self-starter with keen attention to detail, ability to work in a fast-paced environment and good track record of influencing decisions. Above a

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