Data Engineer (Google BigQuery)
Posted Updated
Data Engineer (Google BigQuery)
Job Highlights
- laptop to be provided
Role Summary
1
Responsibilities
- Design, develop, code, and support scalable data pipelines and data models using GCP technologies
- Build and maintain ETL/ELT processes for data integration and transformation
- Work extensively with GCP services such as:
- Google BigQuery
- Cloud Composer
- Apache Airflow
- Collaborate with business analysts, data analysts, architects, and stakeholders to gather and deliver data requirements
- Support and maintain existing data warehouses and related data pipelines
- Ensure data quality, integrity, security, and compliance standards are met
- Optimize data processing, query performance, and storage efficiency
- Troubleshoot and resolve issues within the data platform and pipeline ecosystem
- Continuously learn and adopt new tools and technologies in the data engineering space, such as DBT and Monte Carlo
- Participate effectively in Agile development and delivery processes
- Communicate clearly with both technical and non-technical stakeholders
- Demonstrate strong analytical thinking, attention to detail, and delivery accuracy
- Work collaboratively within a global distributed team environment
Qualifications
- Minimum of 4–5 years of hands-on experience in:
- Google BigQuery (GBQ)
- Airflow / Composer
- Data engineering and ETL development
- Strong proficiency in Python
- Nice to have DBT
Preferred Qualifications
- Experience with cloud-based data warehouse architectures
- Familiarity with CI/CD pipelines and DevOps practices
- Exposure to data observability and monitoring tools
- Understanding of data governance and best practices
Technical Environment
Additional Information