Google Cloud Platform Data Engineer || Houston, TX (Onsite)

Title: Senior Google Cloud Platform Data Engineer

Location: Houston, TX (Onsite)

Duration: 6+ Months

Job Description:

• Looking for 12 years of Google Cloud Platform Data engineer.
• As a Senior Data Engineer, you’ll be the architect and builder of our data backbone.
• we expect you to not just write code, but to design scalable, resilient systems that turn raw data into strategic assets. You’ll be working in a high-velocity environment where Google Cloud Platform (Google Cloud Platform) is our primary playground.
• Design and maintain complex ETL/ELT pipelines using Cloud DataProc for large-scale processing.
• Implement robust messaging and streaming architectures using Cloud Pub/Sub.
• Develop lightweight, event-driven microservices and data triggers using Cloud Functions and Cloud Run.
• Architect and optimize storage solutions on Google Cloud Storage (GCS), ensuring data security and cost-efficiency.
• Utilize Pig Query (Apache Pig on DataProc) for analyzing and transforming massive datasets.
• Write clean, production-grade Python code for data manipulation, API integrations, and automation scripts.
• Big Data Processing Expert-level experience with Cloud DataProc and Pig Query.
• Cloud Storage deep understanding of GCS bucket policies, lifecycles, and storage classes.
• Strong experience with Pub/Sub for decoupled systems.
• Proficiency in deploying containerized apps via Cloud Run and snippets via Cloud Functions.
• Programming Advanced Python (including libraries like Pandas, PySpark, or Beam).
• Data Design Experience in designing schemas and managing data lifecycles.
• Experience with Infrastructure as Code (Terraform).
• Knowledge of BigQuery optimization and Looker integration.

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