✦ Luna Orbit — Data & Analytics

Senior Big Data Engineer, IDEAS - D&A - Revenue

at Amazon.com

📍 US, TX, Dallas Unknown Posted March 13, 2026
Type Not Specified
Experience senior
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves architecting and extending data processing frameworks for revenue data products, leveraging AWS big data tools and AI/ML technologies.

  • Build scalable data pipelines
  • Lead automation initiatives
  • Design data models
  • Mentor data engineers
  • Optimize data infrastructure

Focuses on building scalable data pipelines, data modeling, and integrating AI/ML solutions within AWS cloud environment for revenue analytics.

The ideal candidate is a senior data engineer with extensive experience in big data technologies, AWS cloud services, and data pipeline architecture. They should have a strong background in AI/ML integration and mentoring junior engineers.

BigData technologiesData pipeline developmentAWS servicesData modelingData warehousing
AI-driven automationMachine LearningData quality improvementCost optimization
Elastic Map Reduce (EMR)SparkRedshiftGlueSalesforce.com
Big DataEMRSparkRedshiftGlueData PipelinesData ModelingData WarehousingAI/ML
BigDataElastic Map Reduce (EMR)SparkRedshiftGlueData PipelinesData ModelingAWS servicesAI/MLData Warehousing
LeadershipMentoringOrganizational SkillsInnovationProblem-solving
Industry Technology / Cloud Computing / Data & Analytics
Job Function Senior data engineering for revenue data processing
Big Data EngineerAWSElastic Map ReduceEMRSparkRedshiftGlueData PipelinesData ModelingData WarehousingAI/MLMachine LearningData QualityAutomationData InfrastructureBig Data

Lack of experience with AWS big data tools, No background in data pipeline development, Absence of leadership or mentoring experience, Inability to work with large-scale data systems

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