{"schemaVersion":"jobsearcher.job.v1","id":"d044dc677e612690842fcbe1","url":"https://jobsearcher.com/jobs/d044dc677e612690842fcbe1","canonicalUrl":"https://jobsearcher.com/jobs/d044dc677e612690842fcbe1","title":"GCP Data Engineer","description":"Job Title: GCP Data EngineerLocation: Phoenix, AZ (Hybrid)Job Type: Contract Long Term1. Business Division & Project SummaryBusiness Division: Enterprise Business Intelligence (EBI) – AMEXPosition supports AMEX’s Enterprise Business Intelligence (EBI) organization, specifically the Experience Analytics (XP) team.This division focuses on:Marketing analytics and campaign intelligenceBuilding data pipelines, ETL processes, and insight delivery mechanismsDelivering insights for:AMEX‑initiated campaignsMerchant‑partner campaignsCampaign creative journeys & customer experience pathwaysEnabling multiple reporting/insight delivery channels:Dashboards (Tableau)API‑based insightsReport distributionAudio‑layer reporting (narrative insights) Project Summary (New Workload Coming)A new upcoming initiative is driving the need for hiring. The details are not confirmed yet, but likely include:Creation of a completely new data pipelineDevelopment of new visualization/reporting layers for this pipelineWork within GCP ecosystem — BigQuery, Cloud Composer, DataProc, Spark, Python 2. Role Summary & ResponsibilitiesThe requirement is a hybrid role combining:A. Data Engineering (Primary – ~60–70%)Key responsibilities:Build and maintain ETL pipelinesWork within AMEX’s GCP ecosystem:BigQuery (primary analytics database)Cloud Composer (orchestration)DataProc (Spark/Python‑based ETL jobs)Data curation, aggregation, and transformation (SQL-heavy)Potential work with PySpark depending on pipeline designImplement AI‑powered data quality checks (future roadmap)Contribute to domain-specific datasets (marketing analytics)Tech stack mentioned:PythonPySparkSQLBigQueryGCP (Composer, DataProc)B. Data Visualization / BI Engineering (~30–40%)Responsibilities:Build dashboards for marketing analyticsVisualize campaign journeys, insights & trendsUse Tableau primarily (Power BI is deprioritized)Support multiple insight delivery formats:DashboardsAPI-based insight deliveryNarrative/Audio insightsConvert analytical output into consumable business insightsTools:Tableau(Optional) Power BIAPIs (for insight publishing) 3. Expectations & Role Fit CriteriaA. Core ExpectationsStrong data engineering foundationStrong SQL and BigQuery experienceHands-on with TableauGCP ecosystem familiarity (mandatory)Ability to manage both data pipelines & visualization layersPrior exposure to ETL, Spark, or Python desirable- AI/ML experienceB. Soft SkillsAbility to collaborate with global teams (India + US)Strong communication for requirements gatheringIndependence in handling end‑to‑end data + BI workflows","company":"Brathon","rawCompany":"brathon","city":"Phoenix","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-05-17T20:09:53.582Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"GCP Data Engineer","description":"Job Title: GCP Data EngineerLocation: Phoenix, AZ (Hybrid)Job Type: Contract Long Term1. Business Division & Project SummaryBusiness Division: Enterprise Business Intelligence (EBI) – AMEXPosition supports AMEX’s Enterprise Business Intelligence (EBI) organization, specifically the Experience Analytics (XP) team.This division focuses on:Marketing analytics and campaign intelligenceBuilding data pipelines, ETL processes, and insight delivery mechanismsDelivering insights for:AMEX‑initiated campaignsMerchant‑partner campaignsCampaign creative journeys & customer experience pathwaysEnabling multiple reporting/insight delivery channels:Dashboards (Tableau)API‑based insightsReport distributionAudio‑layer reporting (narrative insights) Project Summary (New Workload Coming)A new upcoming initiative is driving the need for hiring. The details are not confirmed yet, but likely include:Creation of a completely new data pipelineDevelopment of new visualization/reporting layers for this pipelineWork within GCP ecosystem — BigQuery, Cloud Composer, DataProc, Spark, Python 2. Role Summary & ResponsibilitiesThe requirement is a hybrid role combining:A. Data Engineering (Primary – ~60–70%)Key responsibilities:Build and maintain ETL pipelinesWork within AMEX’s GCP ecosystem:BigQuery (primary analytics database)Cloud Composer (orchestration)DataProc (Spark/Python‑based ETL jobs)Data curation, aggregation, and transformation (SQL-heavy)Potential work with PySpark depending on pipeline designImplement AI‑powered data quality checks (future roadmap)Contribute to domain-specific datasets (marketing analytics)Tech stack mentioned:PythonPySparkSQLBigQueryGCP (Composer, DataProc)B. Data Visualization / BI Engineering (~30–40%)Responsibilities:Build dashboards for marketing analyticsVisualize campaign journeys, insights & trendsUse Tableau primarily (Power BI is deprioritized)Support multiple insight delivery formats:DashboardsAPI-based insight deliveryNarrative/Audio insightsConvert analytical output into consumable business insightsTools:Tableau(Optional) Power BIAPIs (for insight publishing) 3. Expectations & Role Fit CriteriaA. Core ExpectationsStrong data engineering foundationStrong SQL and BigQuery experienceHands-on with TableauGCP ecosystem familiarity (mandatory)Ability to manage both data pipelines & visualization layersPrior exposure to ETL, Spark, or Python desirable- AI/ML experienceB. Soft SkillsAbility to collaborate with global teams (India + US)Strong communication for requirements gatheringIndependence in handling end‑to‑end data + BI workflows","datePosted":"2026-05-17T20:09:53.582Z","dateModified":"2026-05-17T20:09:53.582Z","hiringOrganization":{"@type":"Organization","name":"Brathon","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Phoenix","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d044dc677e612690842fcbe1"},"url":"https://jobsearcher.com/jobs/d044dc677e612690842fcbe1"}}