Job Description
Position: GCP Data Engineer Location: 100% Remote Opportunity Hiring: 2 Engineers (Mid-Level & Senior-Level) – Immediate Interviews Project Overview: This role is strictly focused on Data Engineering and Data Science. It is not a DevOps or Infrastructure position. We are seeking two highly skilled Data Engineers / Data Scientists to support a critical GCP Migration project. Project Goal: Migrate data from Snowflake to Google Cloud Platform (GCP). Impact: Significant data model transformations, including: Converting snapshot models to incremental models Combining and restructuring datasets Implementing updated validation and transformation logic Key Responsibilities Perform detailed data validations, analyzing impacts from data model changes Compare legacy and new datasets to ensure accuracy and integrity Design and build automated validation pipelines Develop and maintain scalable data pipelines in GCP Translate complex data structures into actionable insights Collaborate on AI-enabled data workflows and integrations Work with REST APIs and manage secure data integrations (egress/ingress policies) Required Technical Skills: Strong hands-on experience with GCP cloud tools and services 3+ years of programming experience in Python, PySpark, and SQL. Experience building scalable data pipelines Practical experience with GCP services, including BigQuery, Vertex AI, Cloud Functions, Cloud Storage, Looker, and GCP Agent Development Kit (ADK). Experience working with modern AI frameworks such as GCP Vertex AI, Gemini, and Palantir Foundry AIP Preferred / Nice to Have Experience with Palantir Foundry Background in Healthcare, Pharmacy, Pay Analytics, Finance, or Contract Modeling Experience integrating GCP with Palantir Foundry using REST APIs Follow us on LinkedIn for more opportunities - https://www.linkedin.com/company/hyr-global-source-inc
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