You'll engineer secure, impactful healthcare data solutions on GCP, safeguarding PHI with advanced techniques.
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Freelance
Recurrent
Compensation is to be agreed upon.
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Remote (anywhere)
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about 17 hours ago
Requirements and responsibilities
Job Role: GCP Data EngineerExperience: 9-12 yearsHealth care Domain MandatoryJob DescriptionHands-on experience in data engineering or ML data engineering in a production GCP environment.Hands-on experience with GCP: BigQuery, SQL, Apache Spark (DataSpark), Vertex AI.Hands-on experience with Kafka, Dataflow, Vertex AI, ML Pipelines, Cloud Storage, Adobe Analytics.Hands-on experience with Python / Java / Node.js.Hands-on experience handling PHI under HIPAA: field-level encryption and masking, de-identification techniques, audit logging, access control policies, and HIPAA Security Rule compliance for data at rest and in transit.Experience integrating Adobe Analytics data streams or Adobe Experience Platform.Familiarity with Looker or Vertex AI as downstream consumers.Knowledge of Click-Thru file formats and external table patterns in BigQuery.Experience with GCP CMEK (Customer-Managed Encryption Keys) for PHI dataset protection.Familiarity with HIPAA BAA requirements in cloud vendor agreements.
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