GCP Data Architect: Scale Data Pipelines & Analytics

Quantum Technologies. LLC; San Jose (CA); On-site; USD 100,000 - 140,000; Full time

Job summary

A technology firm in San Jose is seeking a highly skilled Data Engineer responsible for designing, building, and maintaining scalable data infrastructure. The ideal candidate will have extensive experience in Google Cloud Platform (GCP), notably BigQuery, and proficiency in Python and SQL. This role involves architecting data pipelines and optimizing data solutions for analytics and reporting, ensuring robust support for business intelligence initiatives. A collaborative mindset to work closely with teams is essential.

Qualifications

• Expert-level skills in data ingestion, performance optimization, and data modeling.
• Solid command of advanced SQL for complex querying and performance tuning.
• Extensive hands-on experience working in dynamic cloud environments.

Responsibilities

• Design, implement, and optimize analytical datasets for reporting and analysis.
• Build and maintain scalable data pipelines for business intelligence applications.
• Implement and support Big Data solutions for real-time and batch analytics.

Skills

Cloud Platform Expertise (GCP Focus)

BigQuery

Python

SQL

Data Pipeline Orchestration

DevOps/CI/CD

Tools

Apache Airflow

Cloud Composer

Job description

A technology firm in San Jose is seeking a highly skilled Data Engineer responsible for designing, building, and maintaining scalable data infrastructure. The ideal candidate will have extensive experience in Google Cloud Platform (GCP), notably BigQuery, and proficiency in Python and SQL. This role involves architecting data pipelines and optimizing data solutions for analytics and reporting, ensuring robust support for business intelligence initiatives. A collaborative mindset to work closely with teams is essential.