Google Cloud Platform Data Engineering with MDM

Remote • Posted 3 hours ago • Updated 26 minutes ago
Full Time
Part Time
Remote
Fitment

Dice Job Match Score™

🤯 Applying directly to the forehead...

Job Details

Skills

  • FOCUS
  • Epic
  • Oracle
  • Reference Data
  • Auditing
  • Production Support
  • Google Cloud Platform
  • Google Cloud
  • Mobile Device Management
  • Master Data Management
  • Continuous Integration
  • Continuous Delivery
  • Technical Direction
  • Data Flow
  • Health Care
  • Data Engineering
  • SANS
  • Informatica MDM

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10236892
  • Position Id: OOJ - 5631-4632-1787072552
  • Posted 3 hours ago
Create job alert
Set job alertNever miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

No location provided

Today

Full-time

Remote

12d ago

Easy Apply

Full-time

Depends on Experience

Remote

Today

Full-time

Remote

Today

Full-time

Search all similar jobs