GCP Data Engineer – Consulting Role Location: Onsite in Dallas, TX Duration: 12 Months US Residency Required: Yes Role Overview: We're looking for an experienced GCP Data Engineer to design, develop, and implement scalable data pipelines and solutions using Google Cloud Platform services. The ideal candidate will have strong experience in ETL development, CI/CD automation, and working with large data sets in cloud-native environments. Key Responsibilities: Build and manage data pipelines using GCP services: BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer, etc.

Use PySpark, Spark SQL, and Python to process large datasets

Create and optimize complex SQL queries for business data insights

Develop monitoring systems for proactive data issue detection

Implement CI/CD pipelines using Jenkins, GitHub, and GitHub Actions

Follow GCP architecture best practices and conduct code/design reviews

Skills & Experience: Hands-on experience with Compute Engine, Kubernetes Engine, DataProc, Cloud Functions

Proficiency in PySpark, DataFrames, and PyTest

Strong SQL and data modeling skills

Background in ETL and data lifecycle management

Familiarity with Agile and DevOps practices

Hiring Timeline: Resume Deadline: May 16, 2025