More jobs:
GCP Data Engineer
Job in
Phoenix, Maricopa County, Arizona, 85003, USA
Listed on 2026-10-07
Listing for:
IVID TEK INC
Full Time
position Listed on 2026-10-07
Job specializations:
-
Software Development
Data Engineering
Job Description & How to Apply Below
GCP Data Engineer
Experience
: 6 to 9 Years
Location
:
Phoenix, AZ, USA (Onsite)
We are seeking an experienced GCP Data Engineer to design, build, and optimize enterprise-grade data platforms on Google Cloud. In this role, you will be responsible for building robust batch and real-time data pipelines, managing cloud data warehouses, and enabling analytics and reporting across large-scale data environments.
Key Responsibilities- Cloud Pipeline Architecture:
Design, develop, and maintain automated batch and streaming data pipelines using GCP services including Big Query, Cloud Dataflow (Apache Beam), Cloud Composer (Apache Airflow), Pub/Sub, and Cloud Storage (GCS). - Data Warehousing & Optimization:
Build and optimize large-scale data models in Big Query utilizing partitioning, clustering, and materialized views to maximize query performance and control compute costs. - Programming & Automation:
Write production-grade Python and PySpark scripts for complex ETL/ELT transformations, data manipulation, and pipeline orchestration. - CI/CD & Dev Ops Integration:
Implement and support Git-based version control, continuous integration, and continuous delivery (CI/CD) pipelines using tools like Jenkins for code deployment, testing, and automated monitoring. - BI & Reporting Support:
Collaborate with business intelligence and analytics teams by preparing clean, structured datasets and assisting with data integration for reporting tools such as Tableau or Looker. - AI/ML Alignment:
Partner with cross-functional teams to support and integrate data models designed for downstream AI/ML solutions and predictive analytics.
- Core Cloud Stack: 6 to 9 years of hands-on experience in data engineering, with strong expertise in core GCP services:
Big Query, Dataflow, Cloud Composer, Pub/Sub, and GCS. - Languages & Frameworks:
Expert-level proficiency in Python, SQL, and PySpark / Apache Beam. - Dev Ops Best Practices:
Experience with Git, Jenkins automation, code integration, and peer code reviews within an Agile environment. - Visualization & BI:
Experience supporting data integration, data modeling, and performance tuning for downstream dashboards (e.g., Tableau). - AI/ML Awareness:
Basic understanding of AI/ML concepts and practical exposure to integrating data for AI/ML models or solutions is preferred.
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×