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    Data Engineer, Core Shopping Analytics - Seattle, United States - Amazon Services LLC

    Amazon Services LLC background
    Full time
    Description

    Core Shopping (CS) Analytics turns disparate, raw data into actionable insights that improve every customer's ability to securely discover, evaluate, and purchase products and services across the Amazon store.

    We own the analytics for the Navigation, Homepage, Inspire, App First, Detail Page, Cart, Checkout, Add-to-Cart, and Address experiences.

    Key job responsibilities

    You are a member of a 3 person DE team that owns the analytics infrastructure, standardize logging, and a central suite of fact and dim tables used by internal team members, CS business & tech partners, and Stores stakeholders across the globe.

    You will evolve our infrastructure to leverage latest technologies to balance accuracy and speed. You will partner with CS Tech teams to ensure new logging meets business and availability requirements. You will build and enhance central fact and dim tables to drive standardization and improve consumption by downstream consumers. Lastly, you will collaborate with DE teams across Stores to share 'best practices'.

    A day in the life
    We build in 5-week Sprints with 1 week for planning and 4 weeks for execution. Planning Week is used to groom the backlog and to scope & prioritize projects. We reserve the Friday of every Planning Week for a self-directed Learning Day. Over the 4 Execution Weeks, we have regular stand-ups and a mid-sprint demo. Projects will vary sprint to sprint among building derived/aggregate datasets, conducting analysis, and pushing learnings to customers.

    About the team

    Today, we empower 500+ Builders directly and 100+ unique partner teams via our 'Source of Truth' datasets, self-service dashboards/gits, scheduled reports, and custom metrics consumed for cross-store evaluation.

    In 2023, we supported new experiences end-to-end from logging to reporting/self-service and continued maturing our foundational service offerings to enable more bandwidth for insight generation.

    We are open to hiring candidates to work out of one of the following locations:

    Seattle, WA, USA

    BASIC QUALIFICATIONS

    • 3+ years of data engineering experience
    • Experience with data modeling, warehousing and building ETL pipelines
    PREFERRED QUALIFICATIONS

    • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
    • Experience with nonrelational databases / data stores (object storage, document or keyvalue stores, graph databases, columnfamily databases)


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