Data Engineer
First seen by Alion on Sep 8, 2026.
About the Role :
We are looking for a GCP Data Engineer with strong hands-on experience in GCP, Python, SQL, and data engineering to design, develop, and maintain scalable data pipelines and analytics solutions.
Responsibilities :
- Design, develop, test, deploy, and maintain scalable data pipelines using Google Cloud services, particularly BigQuery and Cloud Storage.
- Develop and optimize data processing and transformation workflows for large datasets.
- Use Python and SQL for data processing, analysis, transformation, and automation.
- Build and maintain data models and datasets to support analytics and reporting requirements.
- Ensure data pipelines and solutions meet scalability, reliability, security, and performance standards.
- Troubleshoot data pipeline and production issues and implement performance improvements.
- Collaborate with data scientists, analysts, and other stakeholders to deliver data-driven solutions.
- Apply data engineering best practices across development, testing, deployment, and maintenance.
Tech Stack :
- Google Cloud Platform (GCP)
- BigQuery and Google Cloud Storage
- Python and SQL
- ETL/ELT processes
Required Skills :
- 4 - 9 years of hands-on experience in Data Engineering.
- Strong proficiency in Python and SQL.
- Experience building and managing data pipelines and ETL/ELT processes.
- Good understanding of data modelling, data processing, and large-scale datasets.
- Understanding of analytics concepts, statistical modelling, and machine learning fundamentals.
- Strong understanding of cloud-based data engineering, scalability, security, and performance optimization.
Skills
Data Engineering, Python, SQL, Google Cloud Platform, BigQuery, Statistical Modeling