GCP Data Engineer
First seen by Alion on Sep 30, 2026.
Role Overview :
The GCP Engineer will be responsible for designing, building, and operating scalable cloud-native data platforms on Google Cloud Platform. The role focuses on Big Query-based analytics, workflow orchestration, infrastructure automation, and containerized deployments using modern data engineering practices.
Key Responsibilities :
- Design, develop, and optimize BigQuery datasets, tables, views, and SQL queries.
- Build and manage data transformation pipelines using DBT.
- Develop and maintain Cloud Composer (Apache Airflow) DAGs.
- Provision and manage GCP infrastructure using Terraform.
- Develop and manage containerized workloads using Docker.
- Implement CI/CD pipelines for data and infrastructure deployments.
- Ensure data quality, governance, security, and cost optimization.
- Monitor pipelines and troubleshoot production issues.
Required Skills & Experience:
- Strong hands-on experience with Google Cloud Platform (GCP).
- Advanced BigQuery SQL and performance optimization.
- Terraform for Infrastructure as Code.
- Cloud Composer / Apache Airflow.
- dbt (models, tests, snapshots, documentation).
- Docker and containerized environments.
- Good Python and SQL skills.
Skill Requirements:
- Proficiency in Google BigQuery for data warehousing and analytics.
- Strong SQL skills for querying and managing large datasets.
- Advanced knowledge of Python programming language for data manipulation and analysis.
- Experience with Google Dataflow for real-time data processing and ETL pipelines.
- Strong problem-solving and analytical skills.
- Excellent communication and leadership abilities to effectively lead a technical team.
Skills
Data Engineering, Google Cloud Platform, Data Build Tool, Python, SQL, ETL, Data Analytics, BigQuery, Apache Airflow