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Google Cloud Platform Data Engineering with MDM

HR PunditsRochester, NY🇺🇸United StatesPosted 18 Aug 2026

Why This Role Stands Out

Advance your career with this hybrid Google Cloud Platform data engineering role, offering significant growth potential and the chance to work with cutting-edge technology. You'll thrive here if you possess strong GCP and MDM expertise and are eager to contribute to impactful data solutions. This is a fantastic opportunity to develop your skills within a reputable company; apply today!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Job Title: Google Cloud Platform Data Engineering with MDM

Work Location: Experience: 10+ Years

Duration: Fulltime Position

Platform Focus: Google Cloud Platform DataFlow


Role Description

Own data-engineering delivery on Google Cloud Platform/DataFlow, including ingestion, transformation, standardisation, reconciliation, publication and operational engineering standards.


Key Responsibilities

Define reusable DataFlow/Google Cloud Platform ingestion and transformation patterns.

  • Implement source ingestion from Epic, ELMS, Oracle, terminology and other approved sources.
  • Build raw/source-preserving, standardised/cleansed and curated/mastered processing layers.
  • Implement standardisation, validation, transformation and reference-data enrichment.
  • Build reconciliation controls between source, MDM/RDM and downstream publication.
  • Build publication pipelines to Google Cloud Platform data products, APIs, events and tables/files.
  • Implement replay, restart, idempotency, audit and monitoring; optimise performance and cost.
  • Establish CI/CD, code quality and production support procedures.


Primary Deliverables

  • Data engineering architecture / design
  • Ingestion and transformation pipelines
  • Reconciliation framework
  • Publication pipelines
  • Operational monitoring and runbooks
  • CI/CD and engineering standards


Required Experience & Skills

  • 8+ years in data engineering, hands-on with Google Cloud Platform and DataFlow (or equivalent).
  • Large-scale batch, incremental and event-driven pipeline experience.
  • Experience feeding and reconciling MDM/RDM data.
  • Strong on operationalisation: monitoring, replay, CI/CD.


Good to Have

  • BigQuery, Pub/Sub and Dataflow depth.
  • Healthcare data engineering.
  • Integration with Informatica MDM loads.

Skills

Oracle
BigQuery
Google Cloud
Reconciliation

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