DATA Engineer GCP
Krest Global Solutions
Job Description
Job Description
Job Title: DATA Engineer – GCP
Work Time Zone: EST
Rate: $58-60/hour on 1099/C2C
Location: Atlanta, GA (Hybrid – 3 days on-site)
We are looking for a highly capable Data Engineer to design, build, and maintain reliable, scalable data pipelines and infrastructure on Google Cloud Platform (GCP) .. The ideal candidate is proficient with BigQuery , Dataflow , and has experience integrating modern tools like Vertex AI and Gemini models for intelligent data workflows.
Core Responsibilities:
- Data Pipeline Development: Build scalable batch and real-time pipelines using Dataflow , Pub/Sub , Cloud Composer , and Dataproc .
- Data Warehousing: Design and optimize analytical models in BigQuery , implementing best practices in schema design and performance tuning.
- Infrastructure & CI/CD: Deploy data infrastructure with Terraform ; create and manage CI/CD pipelines for workflow automation.
- Data Quality & Governance: Implement validation checks, ensure data integrity, and enforce security and governance practices.
- AI/ML Integration: Collaborate with data scientists to support Vertex AI workflows and explore the use of Gemini models (via BigQuery ML or Vertex AI APIs ) for advanced data transformation.
- Cross-Team Collaboration: Work with analysts, scientists, and business stakeholders to deliver impactful data solution.
Technical Skills:
- Strong experience with GCP services : BigQuery, Dataflow, Pub/Sub, Cloud Storage
- Expertise in SQL , Python , and ETL/ELT development
- Knowledge of Infrastructure as Code tools (e.g., Terraform)
- Familiarity with CI/CD tools : Google Cloud Build, Jenkins
- Understanding of data modeling , partitioning , clustering , and materialized views
- Working knowledge of data quality frameworks and governance principles
- Experience with Vertex AI , or a strong interest in ML/AI workflows on GCP
- Apache Spark, Kafka, Apache Airflow
- DBT or Dataform for transformations
- Docker, Kubernetes for Containerization
- Snowflake, Databricks or other modern platforms
Soft Skills:
- Strong communication and collaboration skills
- Ability to manage priorities and work independently
- Analytical thinking and problem-solving mindset
Preferred Skills (Bonus):
- Google Cloud certifications (e.g., Professional Data Engineer , ML Engineer )
- Domain experience in energy , utilities , or industrial sectors
Experience Requirements:
- Education : Bachelor’s degree in computer science, Engineering, Statistics, or related technical field (or equivalent experience)
- Professional Experience :
- 8-10 years of experience in data engineering
- Proven hands-on experience with GCP and modern data architecture
Vacancy posted a month ago
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