Data Engineer (Google BigQuery)

Job Highlights

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

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

Career Level

Mid to Senior

Work Location

Taguig

Work Setup

Hybrid (2x a week onsite)

Job Type

Project based