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

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