Position Details

Type Not Specified

Experience senior

Exp. Years 5+ years

Education Not specified

Category Data & Analytics

About this role

Amazon Freight is looking for a Sr. Data Engineer to build scalable ETL pipelines and deliver data architecture for analytics and reporting. The role focuses on improving inbound visibility and automating reporting and analysis to enable self-service support.

Key Responsibilities

Build robust and scalable ETL pipelines using SQL, EMR, Python and Spark
Build and deliver high quality data architecture for reporting needs
Extract, transform, and load data from multiple data sources
Improve Amazon Inbound visibility with business and technology solutions
Automate or simplify self-service reporting and analysis while translating insights for stakeholders

Technical Overview

You will build robust data integration (ETL) pipelines using SQL, EMR (Elastic MapReduce), Python, and Spark. Responsibilities include data modeling, warehousing, extracting/transforming/loading data from multiple sources, and translating data into actionable insights for stakeholders.

Ideal Candidate

The ideal candidate is a senior data engineer with 5+ years of data engineering experience, strong SQL skills, and proven ability to build robust, scalable ETL pipelines using EMR and Spark. They can deliver high-quality data architecture for BI and program manager reporting needs and have experience mentoring team members.

Must-Have Skills

5+ years of data engineering experienceExperience with data modelingExperience with data warehousingbuilding ETL pipelinesExperience with SQLExperience in at least one modern scripting or programming languagesuch as PythonJavaScalaor NodeJSExperience mentoring team members on best practices

Nice-to-Have Skills

Experience with big data technologies such as: HadoopHiveSparkEMRExperience operating large data warehouses

Tools & Platforms

SQLEMRElastic MapReduceSparkHadoopHivePythonScalaNodeJSJava

Required Skills

ETL pipelinesSQLEMRPythonSparkdata architecturedata integrationextracttransformand load datadata modelingdata warehousingHadoopHivementoringlarge data warehouses

Hard Skills

data integration (ETL) pipelinesSQLEMRElastic MapReducePythonSparkdata architecturedata integrationextracttransformand load dataAmazon Inbound visibilityreporting and analysis processesautomating or simplifying self-service supportbusiness intelligence engineer reporting needsmentoring team members on best practicesdata modelingdata warehousing

Soft Skills

translate data into actionable insights for stakeholderscontinually improve ongoing reporting and analysis processeswork with program managersinterface with other technology teamsmentoring team members on best practices

Industry & Role

Industry Logistics

Job Function Design and build scalable ETL pipelines and data architecture for Amazon Freight analytics

Role Subtype Data Engineer

Tech Domains Amazon Web Services, Python, SQL / PostgreSQL

Keywords for Your Resume

Sr. Data EngineerSenior Data EngineerAmazon FreightData AnalyticsETL pipelinesSQLEMRElastic MapReducePythonSparkdata integrationdata architectureextracttransformand load dataAmazon Inbound visibilityreportinganalysisself-service supportdata modelingdata warehousingmentoring team members on best practicesHadoopHivelarge data warehousesprogram managers reporting needs

Deal Breakers

Must have 5+ years of data engineering experience, Must have experience with SQL, Must have experience building ETL pipelines and data warehousing/data modeling, Must have experience mentoring team members on best practices

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Sr. Data Engineer, Amazon Freight

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