Amazon.com Services LLC
Data Science, Data Engineering, selling partner services
DataEngineerII,PerfectOrderExperience
Neural analysis suggests this role is
optimal for Mid candidates.
“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.
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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