No H1B :: Google Cloud Platform Big Data Engineer (Lumi Platform) :: Phoenix, AZ

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Google Cloud Platform Big Data Engineer (Lumi Platform)

Location: Phoenix, AZ (Onsite/Hybrid)

Visa: Open / Visa-Free Candidates Preferred

Experience: 8+ Years

Job Description

We are seeking a highly skilled Google Cloud Platform Big Data Engineer to work on the Lumi platform, leveraging a suite of Google Cloud Platform services to design, build, and optimize scalable data pipelines and analytics solutions.

The ideal candidate will have strong hands-on experience in Google Cloud Platform big data technologies, data engineering, and workflow orchestration.

Key Responsibilities

• Design and develop scalable data pipelines using Google Cloud Platform services
• Work extensively with BigQuery for data warehousing and analytics
• Build and manage data workflows using Cloud Composer (Airflow DAGs)
• Develop batch and streaming pipelines using Dataflow
• Handle large-scale data processing using Dataproc (Spark/Hadoop)
• Manage and optimize data storage using Cloud Storage
• Collaborate with cross-functional teams to deliver high-quality data solutions
• Ensure data quality, performance, and reliability across pipelines
• Troubleshoot and optimize existing data workflows

Required Skills

Google Cloud Platform, BigQuery, Cloud Storage, Dataflow, Dataproc, Cloud Composer, Airflow, DAGs, Python, SQL, Spark, Hadoop, ETL, Data Engineering

Preferred Skills

• Experience with Lumi platform or similar enterprise data platforms
• Knowledge of streaming frameworks and real-time processing
• Familiarity with CI/CD pipelines in Google Cloud Platform
• Strong problem-solving and debugging skills