Position Details

Type Not Specified

Experience mid

Exp. Years Not specified

Education Not specified

Category Data & Analytics

About this role

This role involves designing, building, and maintaining data infrastructure for Amazon Leo's commerce platform, focusing on data quality, analytics, and AI integration.

Key Responsibilities

Collaborate on data-driven systems
Build and optimize data pipelines
Develop self-service reporting solutions
Improve data quality and availability
Support AI/ML advancements

Technical Overview

The technical environment includes AWS cloud services, SQL, data pipelines, ETL processes, and AI/ML technologies including large language models and GenAI.

Ideal Candidate

The ideal candidate is a mid-level data engineer with experience in building scalable data pipelines, proficiency in SQL and AWS cloud services, and familiarity with AI/ML technologies including large language models and GenAI. They should be skilled in data modeling, analytics, and reporting solutions.

Must-Have Skills

SQLAWSData pipelinesData modelingETL

Nice-to-Have Skills

ML/AILarge language modelsGenAIData qualityPerformance metrics

Tools & Platforms

AWSAmazon Web ServicesSQLData infrastructure tools

Required Skills

SQLAWSData pipelinesData modelingETLData infrastructureML/AIGenAI

Hard Skills

SQLStructured Query LanguageData pipelinesAWSAmazon Web ServicesData infrastructureData-driven systemsETLData qualityData availabilityAnalyticsPerformance metricsSelf-service reportingData modelingML/AILarge language modelsGenAI

Soft Skills

CollaborationCommunicationProblem-solvingAnalytical thinkingKnowledge sharingContinuous improvement

Industry & Role

Industry Telecom / Communications

Job Function Developing and maintaining scalable data infrastructure for e-commerce analytics and AI applications

Keywords for Your Resume

Data EngineerSQLAWSAmazon Web ServicesData pipelinesETLData modelingData infrastructureML/AIGenAILarge language modelsSelf-service reportingData qualityPerformance metricsData-driven systems

Deal Breakers

Lack of experience with SQL or AWS, No experience in data pipelines or ETL, Unfamiliarity with data modeling, No knowledge of ML/AI or GenAI

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Data Engineer II, Amazon Leo Commerce

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