Amazon.com LLC
Data Science, Data Engineering, selling partner services
DataEngineer,SellerPartnerTrustandStoreIntegrityScience
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer, Seller Partner Trust and Store Integrity Science at Amazon.com LLC. Skills: Data infrastructure, ML operations, System performance. Design scalable data pipelines. Build scalable data pipelines”
Industry & Context.
What They're Looking For.
Must Have
3+ years data engineering experience, 1+ years ETL/ELT experience, 1+ years OLAP technologies experience, 1+ years data modeling experience, 1+ years SQL experience, 1+ years Oracle experience
Nice to Have
AWS technologies experience, Non-relational databases experience
What You'll Do.
Design scalable data pipelines
Build scalable data pipelines
Maintain scalable data pipelines
Develop ETL processes
Optimize ETL processes
Implement data quality checks
Implement monitoring systems
Build model training infrastructure
Maintain model training infrastructure
Design inference pipelines
Implement inference pipelines
Productionize ML models
Translate research code
Optimize data processing workflows
Manage compute resources
Manage storage resources
Implement monitoring systems
Implement alerting systems
Implement logging systems
Maintain documentation
How You'll Work.
Team & Collaboration
Collaborate with scientists; Work with stakeholders; Partner with scientists
Full Job Description
Do you want to join an innovative team of scientists and engineers who use machine learning and artificial intelligence to help Amazon provide the best customer experience by preventing eCommerce fraud? Are you excited by the prospect of building scalable data infrastructure and pipelines that process terabytes of data, enabling state-of-the-art algorithms to solve real world problems? Do you like to own end-to-end data systems and directly impact the team's ability to deliver insights and models that drive company profitability? Do you enjoy collaborating in a diverse team environment? If yes, then you may be a great fit to join the Amazon Selling Partner Trust & Store Integrity Science Team. We are looking for a talented data engineer who is passionate about building robust data platforms and pipelines that empower scientists to develop advanced machine learning systems, helping manage the safety of millions of transactions every day and scaling up our operations with automation. Key job responsibilities DATA INFRASTRUCTURE & PIPELINE DEVELOPMENT - Design, build, and maintain scalable data pipelines that support multiple ML model training and inference workflows - Develop and optimize ETL processes to ingest, transform, and prepare terabytes of data from diverse sources for model consumption - Implement robust data quality checks and monitoring systems to ensure data integrity across all pipelines ML OPERATIONS SUPPORT - Build and maintain infrastructure for model training pipelines, including feature engineering, data versioning, and experiment tracking - Design and implement scalable inference pipelines that serve predictions for millions of transactions with low latency and high reliability - Collaborate with scientists to productionize ML models, translating research code into production-ready systems SYSTEM PERFORMANCE & RELIABILITY - Optimize data processing workflows for cost efficiency and performance, managing compute and storage resources effectively - I
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