Amazon.com Services LLC
Technology
SeniorDataEngineer,AWSInfrastructureSupplyChainAutomation
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer, AWS Infrastructure Supply Chain Automation at Amazon.com Services LLC. Skills: Data Engineering, AWS, Python, SQL. Design, build, and maintain scalable data pipelines. Develop and deploy machine learning models”
Industry & Context.
Root cause analysis; Troubleshooting
What They're Looking For.
Must Have
5+ years of experience in software development, 3+ years of experience in AWS, 3+ years of experience in Python, 3+ years of experience in SQL, Bachelor's degree in Computer Science, Computer Engineering, or related field, or equivalent
Nice to Have
Master's degree or PhD preferred, Experience with large-scale supply chain or logistics systems, Experience with data modeling and data warehousing, Experience with distributed systems, Experience with CI/CD pipelines, Experience with containerization technologies (Docker, Kubernetes), Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn), Experience with data visualization tools (e.g., Tableau, Power BI)
What You'll Do.
and maintain scalable data pipelines
Develop and deploy machine learning models
Automate supply chain processes
Optimize data storage and retrieval
Collaborate with engineering and product teams
Troubleshoot and resolve data-related issues
Ensure data quality and integrity
Develop and maintain documentation
How You'll Work.
Team & Collaboration
Engineering teams; Product teams; Cross-functional teams
Full Job Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. You’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. We’re looking for Senior Data Engineer to help us grow our Data Lake and Data Warehouse Systems, which is being built using a serverless architecture, with 100% native AWS components including Redshift Spectrum, Athena, S3, Lambda, Glue, EMR, Kinesis, SNS, CloudWatch and more! We own a world-class data lake that is used to drive multi-billion dollar decisions on a regular cadence and we're looking to improve on filling the lake quickly, with as little human intervention needed and democratize the data in the lake. Our Data Engineers build the ETL and analytics solutions for our internal customers to answer questions with data and drive critical improvements for the business. Our Data Engineers use best practices in software engineering, data management, data storage, data compute, and distributed systems. We are passionate about solving business problems with data! Key job responsibilities - Develop and maintain automated ETL pipelines (with monitoring) using scripting languages such as Python, Spark, S
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