Amazon
Software Development, Data Engineering, consumerpayments
DataEngineer
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Engineer at Amazon. Skills: Data engineering, ETL pipelines, Data modeling, Business intelligence. Design data structures. Develop data structures”
What You'll Achieve.
Successfully delivering results
Industry & Context.
Quantitative analysis; Analytical skills
What They're Looking For.
Must Have
2+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines, Experience with one or more query language, Experience with one or more scripting language
Nice to Have
Experience with big data technologies, Experience with any ETL tool
What You'll Do.
Design data structures
Develop data structures
Implement data structures
Operate data structures
Implement data structures using best practices
Model data and metadata
Work with product tech teams
Build data integration pipelines
Improve reporting processes
Simplify self-service support
Interface with business customers
Deliver reporting solutions
Collaborate with Analysts
Collaborate with Business Intelligence Engineers
Collaborate with Product Managers
Participate in planning discussions
Participate in budget processes
Communicate with business teams
Communicate with tech teams
Communicate with other Data teams
How You'll Work.
Team & Collaboration
Product tech teams; Business customers; Analysts; Business Intelligence Engineers; Product Managers; Product teams; Business teams; Tech teams; Data teams
Communication Scope
Communicate effectively
Process & Methodology
Strategic planning, Tactical planning
Full Job Description
Amazon’s Amazon Payments organization is seeking a highly quantitative, experienced Business Intelligence Engineer to drive the development of analytics and insights. You will succeed in this role if you are an organized self-starter who can learn new technologies quickly and excel in a fast-paced environment. In this position, you will be a key contributor and sparring partner, developing analytics and insights that global executive management teams and business leaders will use to define global strategies and deep dive businesses. Our team offers a unique opportunity to build a new set of analytical experiences from the ground up. You will be part the team that is focused on acquiring new merchants from around the world to payments around the world. The position is based in India but will interact with global leaders and teams in Europe, China, US, and other regions. You should be highly analytical, resourceful, customer focused, team oriented, and have an ability to work independently under time constraints to meet deadlines. You will be comfortable thinking big and diving deep. A proven track record in taking on end-to-end ownership and successfully delivering results in a fast-paced, dynamic business environment is strongly preferred. Key job responsibilities Design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics and Reporting. Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, AWS – Redshift, and OLAP technologies, Model data and metadata for ad hoc and pre-built reporting. Work with product tech teams and build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark. Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers. Interface with business customers, gathering requirements and delivering complete reporting solutions. Collaborate with Analysts, Business Intel
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