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Job Title: GCP Data Engineer Location: Fully Remote Job Type: W2 About The Role We are seeking a highly skilled GCP Data Engineer to support a large-scale Snowflake to Google Cloud Platform (GCP) migration initiative . This role will play a critical part in transforming and validating data models as part of the migration process, ensuring accuracy, scalability, and performance across systems. The ideal candidate is technically strong, proactive, and comfortable working at the intersection of data engineering, validation frameworks, and AI-driven cloud services . Project Overview Project Goal: Migrate enterprise data from Snowflake to GCP. Key Impact Areas Transforming data models (e.g., snapshot to incremental models) Combining and restructuring datasets Validating data integrity and business impact Building automated validation pipelines Key Responsibilities Lead and support Snowflake-to-GCP migration activities. Perform comprehensive data validations, comparing legacy vs. transformed models. Design and implement automated validation pipelines. Build scalable and reliable data pipelines using GCP services. Collaborate with cross-functional teams to translate complex data findings into actionable insights. Integrate GCP and Palantir Foundry systems using REST APIs and secure data transfer mechanisms. Work with modern AI and cloud-native tools to enhance data workflows. Required Technical Skills 3+ years of programming experience in: Python PySpark SQL Strong hands-on experience with Google Cloud Platform (GCP) services, including: BigQuery Vertex AI Cloud Functions Cloud Storage Looker GCP Agent Development Kit (ADK) Experience implementing scalable data pipelines and system integrations. Strong understanding of data modeling concepts (incremental models, transformations, dataset consolidation). Experience building automated validation frameworks. Preferred Skills Experience with Palantir Foundry (especially Foundry AIP). Exposure to modern AI frameworks (e.g., Vertex AI, Gemini). Experience integrating GCP with external platforms via REST APIs. Knowledge of cloud networking concepts (egress/ingress policies). Follow us over Linkedin - https://www.linkedin.com/company/hyr-global-source-inc To Get more job notifications
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.