Amazon Web Services, Inc.
Data Science, Data Engineering, Cloud Computing
Sr.DataEngineer,DealToolingandInsights,StrategicCustomerEngagements
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Data Engineer, Deal Tooling and Insights, Strategic Customer Engagements at Amazon Web Services, Inc.. Skills: Data engineering, Data platform development, GenAI data solutions. Build backend data infrastructure. Maintain backend data infrastructure”
Industry & Context.
Translate business problem statements; Address deficiencies
What They're Looking For.
Must Have
5+ years data engineering, Data modeling experience, Warehousing experience, Building ETL pipelines, SQL experience, Python, Java, Scala, or NodeJS experience, Mentoring team members
Nice to Have
Big data technologies experience, Hadoop experience, Hive experience, Spark experience, EMR experience, Large data warehouses experience
What You'll Do.
Build backend data infrastructure
Maintain backend data infrastructure
Optimize data for consumption
Lead architectural improvements
Simplify complex data systems
Simplify data transformations
Address data infrastructure deficiencies
Translate business problems to requirements
Partner with BIEs and product management
Monitor data pipelines
Validate data pipelines
Document data pipelines
Document data sources
Leverage AWS services
Build next-generation data solutions
Unlock analytical capabilities
Build LLM data pipelines
Create data products for GenAI
Create feature stores for GenAI
Serve GenAI applications
Participate in design reviews
How You'll Work.
Team & Collaboration
Collaboration with Product Managers; Collaboration with BIEs; Collaboration with business partners; Partnering with stakeholders
Communication Scope
Business communication skills
Full Job Description
Are you passionate about leveraging data to deliver actionable insights that impact the daily business decisions of AWS? Do you want to have an impact on making strategic deals come to life? If so, we are looking for a Sr. Data Engineer to join the Strategic Customer Engagements team to develop a scalable data analytics platform. The Strategic Customer Engagements Deal Team works with our customers on commercial private pricing opportunities to meet their desired business outcomes while ensuring alignment with AWS business objectives. In this role, you will be responsible for end-to-end development of data engineering solutions from the ground up. You should have expertise in the creation and management of datasets and the proven ability to translate data into meaningful insights through collaboration with Product Managers, Business Intelligence Engineers (BIEs), and business partners. You should be passionate about designing scalable analytics solutions for a fast-growing business. This is a high-visibility role. The right candidate will possess excellent business and communication skills, be able to work with business owners to translate business problem statements into technical requirements. You should have a solid understanding of how to build efficient and scalable data infrastructure and data models. The role will leverage generative AI and AWS services to raise the bar on how the team consumes and acts on data and build the next generation of AI-enabled data platform. Key job responsibilities - Build and maintain backend data infrastructure for analytical platforms and applications, ensuring data is clean, fresh, and optimized for downstream consumption - Lead architectural improvements that simplify complex data systems and transformations and proactively address deficiencies that create bottlenecks in the data infrastructure - Translate business problem statements into technical data requirements, partnering with BIEs and product management and stakeholder
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