Amazon Web Services, Inc.
Technology
DataEngineerII,ProfessionalServicesStrategy&Operation,Analytics&InsightsCenter(PAIC)
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer II, Professional Services Strategy & Operation, Analytics & Insights Center (PAIC) at Amazon Web Services, Inc.. Skills: Data Engineering, ETL/ELT, AWS, Data Pipelines. Develop and support ETL pipelines. Develop data models”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
3+ years developing data structures, Bachelor's degree in Computer Science, Experience with SQL and Python
Nice to Have
Experience with AWS technologies, Experience with database solutions, Experience with data warehouse solutions, Experience with data lake solutions, Experience with version control systems, Experience with CI/CD pipeline implementation, Experience with non-relational databases, Experience working with business stakeholders, Experience with big data technologies
What You'll Do.
Develop and support ETL pipelines
Aggregate data for business needs
Build data integration pipelines
Build scalable data pipelines
Implement data structures
Interface with business customers
Deliver reporting solutions
Improve reporting processes
Improve analysis processes
Automate support for customers
Simplify support for customers
Explore AWS technologies
Provide new capabilities
Increase efficiencies
Explore new data sources
Deliver new data products
Maintain data pipelines
Ensure platform reliability
Manage infrastructure as code
How You'll Work.
Team & Collaboration
Partner with product teams; Work with business teams; Work with business owners; Work with analysts; Work with BI Engineers; Collaborate with data engineers; Collaborate with BI engineers; Collaborate with data scientists
Process & Methodology
CI/CD, Infrastructure as code
Full Job Description
Amazon Web Services (AWS) is seeking an experienced Data Engineer to build next generation data products for the Professional Services - Operations Technology - Data Science and Engineering team. This is a unique opportunity to think big, insist on the highest standards, and invent and simplify data products to scale and accelerate our enterprise customers' journey to the cloud. The team builds advanced analytical products including AI/ML and generative AI tools for use by thousands of internal customers. AWS provides companies of all sizes with an infrastructure web services platform in the cloud. With AWS you can requisition compute power, storage, and many other services – gaining access to a suite of elastic IT infrastructure services as your business demands them. AWS is the leading provider for designing and developing applications for the cloud and is growing rapidly with millions of customers in over 190 countries. Many of these customers seek help from AWS Professional Services in their journey to a cloud-based IT operating model. Do you have deep expertise in the end to end development of large datasets across a variety of platforms? Are you great at designing data systems and redefining best practices with a cloud-based approach to scalability and automation? In this role, you will be responsible for scaling our existing infrastructure, incorporating new data sources, and building robust data pipelines. In partnership with product and business teams, you will work backwards from our business questions to drive scalable solutions. You will be a technical leader owning the architecture of our data platform and influence best practices across multiple teams. Above all, you should be passionate about working with data. Key job responsibilities In this role, you will have the opportunity to display and develop your skills in the following areas - Develop and support ETL pipelines with robust monitoring and alarming - Develop data models that are optimized and
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