Position Details

Type Not Specified

Experience mid

Exp. Years 3+ years

Education Not specified

Category Data & Analytics

About this role

Amazon is hiring a Data Engineer for the Risk Operations, Success, & Engagement (ROSE) Business Intelligence team. The role owns end-to-end data engineering solutions on AWS, including building data pipelines and automations that enable scalable self-service answers.

Key Responsibilities

Manage AWS resources including S3, EC2, Redshift, Kinesis, SQS, EMR, Lambda, Glue, Step Functions, Bedrock and others
Build and scale end-to-end data pipelines and infrastructure
Design data architecture and pipelines for BIEs and customer needs
Own projects to build new pipelines, migrate existing ones, and refine infrastructure
Participate in code reviews, design discussions, team planning, and operational excellence

Technical Overview

You will design and scale data pipelines and infrastructure on Amazon Web Services, managing resources across S3, EC2, Redshift, Kinesis, SQS, EMR, Lambda, Glue, Step Functions, and Bedrock. Responsibilities include data modeling, warehousing, ETL pipelines, and partnering with business intelligence engineers and engineers to extract/transform/load data.

Ideal Candidate

The ideal candidate is a data engineer with 3+ years of experience building ETL pipelines, data models, and data warehousing solutions on Amazon Web Services. They are analytical and comfortable with ambiguity, can operate end-to-end data engineering responsibilities, and can deliver scalable data pipelines and self-service capabilities for Business Intelligence customers.

Must-Have Skills

3+ years of data engineering experienceExperience with data modelingExperience with warehousingbuilding ETL pipelinesExperience programming with at least one modern language such as C++C#JavaPythonGola

Tools & Platforms

Amazon Web ServicesAWS LambdaAWS GlueAmazon RedshiftAmazon S3Amazon EC2Amazon KinesisAmazon SQSAmazon EMRAmazon Step FunctionsAmazon Bedrock

Required Skills

AWSS3EC2RedshiftKinesisSQSEMRLambdaGlueStep FunctionsBedrockdata modelingdata warehousingETL pipelinesprogramming with C++C#JavaPython

Hard Skills

AWS resourcesAmazon Web ServicesS3Simple Storage ServiceEC2Elastic Compute CloudRedshiftKinesisAmazon KinesisSQSSimple Queue ServiceEMRElastic MapReduceLambdaAWS LambdaGlueAWS GlueStep FunctionsAmazon Step FunctionsBedrockAmazon Bedrockdata modelingdata warehousingETL pipelinesend-to-end data engineering solutionsmultidimensional data modelingdata pipelinesprocess automationsself-service capabilitiescode reviewsdesign discussionsoperational excellenceinterface with technology teams to extracttransformand load dataextracttransformand load dataSQLPythonJavaC++C#GolaJavaScript

Soft Skills

self-drivenanalyticalsolving unstructured problemscomfortable with ambiguitystrong business and communication skillspartner effectively with business partners and BIEscollaborate on building the right data solutionsactively participate in code reviewsdesign discussionsteam planning

Industry & Role

Industry E-commerce

Job Function Build scalable AWS-based data engineering pipelines and infrastructure for ROSE BI

Role Subtype Data Engineer

Tech Domains Amazon Web Services, Python, SQL / PostgreSQL

Keywords for Your Resume

Data EngineerRisk OperationsSuccess& EngagementROSE Business IntelligenceBusiness IntelligenceAWSAmazon Web ServicesS3Simple Storage ServiceEC2Elastic Compute CloudRedshiftKinesisAmazon KinesisSQSSimple Queue ServiceEMRElastic MapReduceLambdaAWS LambdaGlueAWS GlueStep FunctionsAmazon Step FunctionsBedrockAmazon Bedrockdata modelingdata warehousingETL pipelinesend-to-end data solutionsdata pipelinesprocess automationscode reviews

Deal Breakers

Must have 3+ years of data engineering experience, Must have experience with data modeling, warehousing and building ETL pipelines, Must have programming experience with at least one modern language such as C++, C#, Java, Python

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Data Engineer, Risk Operations, Success, & Engagement Business Intelligence

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