Position Details

Type Not Specified

Experience mid

Exp. Years 1+ years

Education Not specified

Category Data & Analytics

About this role

This role involves designing and building data pipelines, data models, and data warehousing solutions at Amazon, leveraging big data tools and technologies to support business analytics and AI initiatives.

Key Responsibilities

Build data pipelines
Design data models
Develop data warehousing solutions
Partner with stakeholders
Implement AI data platforms

Technical Overview

The technical environment includes Hadoop, Hive, Spark, EMR, and ETL tools, with scripting in Python and KornShell, focusing on large-scale data processing and warehousing.

Ideal Candidate

The ideal candidate is a mid-level data engineer with at least 1 year of experience in data pipeline development, data modeling, and warehousing, with familiarity in big data technologies and ETL tools. They should be curious, problem-solvers, and collaborative.

Must-Have Skills

1+ years of data engineering experienceExperience with data modelingwarehousing and building ETL pipelinesExperience with query languages (e.g.SQLPL/SQLHiveQLSparkSQLScala)Experience with scripting languages (e.g.PythonKornShell)

Nice-to-Have Skills

Experience with HadoopHiveSparkEMRExperience with ETL tools like InformaticaODISSISBODI

Tools & Platforms

HadoopHiveSparkEMRInformaticaODISSISBODI

Required Skills

SQLHiveQLSparkSQLPythonKornShellHadoopHiveSparkEMRInformaticaODISSISBODIData modelingWarehousingETL pipelinesBig data technologies

Hard Skills

SQLStructured Query LanguagePL/SQLData modelingWarehousingETL pipelinesHiveQLSparkSQLScalaPythonKornShellHadoopHiveSparkEMRInformaticaODISSISBODI

Soft Skills

Problem-solvingCommunicationCollaborationCuriosityBig-picture thinking

Industry & Role

Industry E-commerce

Job Function Developing and maintaining data pipelines and warehousing solutions for analytics and AI at Amazon

Role Subtype Data Engineer

Tech Domains Active Directory, Microsoft 365, Azure, Amazon Web Services, Hadoop, Hive, Spark, EMR, SQL / PostgreSQL

Keywords for Your Resume

Data EngineerSQLHiveQLSparkSQLPythonKornShellHadoopHiveSparkEMRInformaticaODISSISBODIData modelingWarehousingETL pipelinesBig data technologiesData pipelinesData solutionsData warehousingBig data

Deal Breakers

Lack of experience with data modeling or ETL pipelines, No experience with query languages or scripting languages, No familiarity with big data technologies

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