Position Details

Type Full-Time

Experience senior

Exp. Years 5+ years

Education Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent

Category Data & Analytics

About this role

Senior Data Engineer on the PXT Central Science team responsible for building scalable data infrastructure and analytics tools to power HR analytics across Amazon.

Key Responsibilities

Design, develop, and maintain ETL processes
Build and optimize data models
Implement data quality controls
Productionize machine learning models
Define data architecture decisions

Technical Overview

Design, implement, and maintain ETL pipelines and data models using native AWS services (Glue/EMR/Lambda), with big data technologies (Hadoop/Spark/Hive) to enable secure, scalable analytics.

Ideal Candidate

The ideal candidate has 5+ years of data engineering experience with strong ETL, data modeling, and data warehousing skills, plus hands-on experience with AWS data services (Glue, EMR, Lambda) and big data technologies (Hadoop/Spark/Hive). They are comfortable mentoring juniors and partnering with data scientists and software engineers to productionize models.

Must-Have Skills

5+ years of data engineering experienceExperience with data modelingwarehousing and ETL pipelinesExperience mentoring team membersBachelor's degree in CSengineeringanalyticsmathematicsstatisticsIT or equivalent

Nice-to-Have Skills

HadoopHiveSparkEMRlarge data warehouses7+ years of workflow experienceMaster's degree in CS/Engineering/ITCommunicating with users and senior management

Tools & Platforms

Amazon Web ServicesAWS GlueAmazon EMRLambdaSparkHadoopHive

Required Skills

['data engineering''ETL''data pipelines''data modeling''data warehousing''AWS Glue''EMR''Lambda''Spark''Hadoop''Hive''security best practices''cross-account data access']

Hard Skills

PythonETLData modelingData warehousingSnowflakeAWSAmazon Web ServicesGlueEMRLambdaSparkHadoopHiveKubernetesSecurityData qualityAPI design

Soft Skills

communicationmentoringcross-functional collaborationproblem-solvingstakeholder management

Industry & Role

Industry Technology / Cloud

Job Function Develop and operate scalable data infrastructure to empower people analytics across Amazon

Role Subtype Data Engineer

Tech Domains Amazon Web Services, Python, Spark, Hadoop, SQL / PostgreSQL, Hive, Linux, Kubernetes, Docker

Keywords for Your Resume

senior data engineerdata pipelinesetldata modelingdata warehousingaws glueemrlambdasparkhadoophivedata qualitycross-functionalapi architecturedata serving layersslassecuritysecuring cross-account accesspxtcsdata engineer

Deal Breakers

Less than 5 years data engineering experience, No experience with AWS data services, No data warehousing or ETL background

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Senior Data Engineer, People Experience and Technology Central Science

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