W2 Opportunity // GCP Data Engineer // Atlanta, GA (Atlanta)CloudIngest • Atlanta, GA, United States
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W2 Opportunity / / GCP Data Engineer / / Atlanta, GA (Atlanta)
CloudIngest • Atlanta, GA, United States
[job_card.variable_days_ago]
[job_preview.job_type]
- [job_card.full_time]
[job_card.job_description]Strong experience with GCP BigQuery (data modeling, SQL development, performance tuning). Proficiency in Python for data engineering and pipeline automation. Hands-on experience with Cloud Data Fusion for ETL / ELT development. Working experience with key GCP services : Cloud Composer Cloud Storage Cloud Functions Pub / Sub Strong understanding of data warehousing concepts , star / snowflake schemas, and best practices. Solid understanding of cloud data architecture and distributed processing. Experience with Vertex AI for ML pipeline integration or model deployment. Familiarity with Dataproc (Spark / Hadoop) for large-scale processing. Knowledge of CI / CD workflows, Git, and DevOps best practices. Experience with Cloud Logging / Monitoring tools.
Job Description : GCP Data Engineer
Location : Atlanta, GA (Hybrid)
Rate : $50 / hr. on W2 (No C2C)
Summary
We are seeking a highly skilled GCP Data Engineer to design, build, and optimize cloud-native data pipelines and analytics solutions on Google Cloud Platform. The ideal candidate has strong experience with Python , BigQuery , Cloud Data Fusion , and core GCP services such as Cloud Composer , Cloud Storage , Cloud Functions , and Pub / Sub . This role requires a strong foundation in data warehousing concepts and scalable data engineering practices.
Responsibilities
- Design, develop, and maintain robust ETL / ELT pipelines on Google Cloud Platform .
- Build and optimize data workflows using Cloud Data Fusion , BigQuery , and Cloud Composer .
- Write efficient and maintainable Python code to support data ingestion, transformation, and automation.
- Develop optimized BigQuery SQL for analytics, reporting, and large-scale data modeling.
- Utilize GCP services such as Cloud Storage , Pub / Sub , and Cloud Functions to build event-driven and scalable data solutions.
- Ensure data quality, governance, and reliability across all pipelines.
- Collaborate with cross-functional teams to deliver clean, trusted, production-ready datasets.
- Monitor, troubleshoot, and resolve performance issues in cloud data pipelines and workflows.
Must-Have Skills
Good-to-Have Skills
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