Amazon.com Services LLC
Data Science, Data Engineering, alexa and amazon devices
DataEngineer,CompanionProduct&Servi(ComPAS)
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“Data Engineer, CompanionProduct&Servi(ComPAS) at Amazon.com Services LLC. Skills: Data engineering, ETL, Machine learning, AI. Use AWS toolkit for DE automation. Use AWS toolkit for AI/ML production systems”
What You'll Achieve.
Deliver solutions meeting business needs
Industry & Context.
Troubleshooting
What They're Looking For.
Must Have
5+ years data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with SQL, Experience building large-scale ML/AI solutions
Nice to Have
Experience with AWS technologies, Experience with non-relational databases
What You'll Do.
Use AWS toolkit for DE automation
Use AWS toolkit for AI/ML production systems
Design pipelines for data extraction
Design pipelines for data transformation
Design pipelines for data loading
Optimize data delivery
Redesign infrastructure for scalability
Manage code deployments
Manage release coordination
Establish best practices for data integration
Develop data integration solutions
Support data integration solutions
Explore new data sources
How You'll Work.
Team & Collaboration
Product teams; Data Scientists; Software developers; Business Intelligence Engineer; Business stakeholders; Technical leaders
Full Job Description
The Companion Products and Services BI team is seeking an exceptional Data Engineer for AI initiatives who is highly data-driven and committed to driving business success. You possess demonstrated expertise in a range of data engineering technologies and a passion for continuously learning new tools and techniques. Rather than being narrowly tool-centric, you astutely determine the most effective technologies to address the task at hand. Importantly, you also excel at translating complex concepts into simple, easy-to-understand terms for your non-technical customers. As a Data Engineer in this role, you will operate within one of the world's largest and most sophisticated data warehouse environments. Your responsibilities will include designing, implementing, and supporting scalable data infrastructure solutions. This will involve seamlessly integrating data from a diverse array of heterogeneous sources, aggregating and retrieving data quickly and securely, and curating high-quality datasets to power reporting, analysis, machine learning models, and ad-hoc data requests, plus you will also own and maintain our very own redshift clusters to house this data. You will have the opportunity to work extensively with cutting-edge cloud data technologies. Excellent business acumen and communication skills are essential, as you will collaborate closely with business stakeholders and technical leaders. Together, you will gather infrastructure requirements, architect data infrastructure, build data pipelines and datasets, and deliver solutions that meet evolving business needs. Importantly, you also maintain a keen awareness of emerging industry trends, proactively investigating and implementing new technologies where appropriate. This dynamic role calls for a seasoned Data Engineer who thrives in complex, fast-paced environments. If you possess the blend of technical expertise, business savvy, and the ability to translate complex technical concepts into clear and actionable i
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