Data Engineer (BigQuery GCP)

Manila - Philippines

Monthly Salary: Not Disclosed

Posted on: 06-11-2025

Vacancies: 1 Vacancy

Job Summary

This is a remote position.

Summary:

Own our data stack end-to-end. Build and maintain reliable pipelines into BigQuery enforce data quality/monitoring and deliver clean models that power marketing finance (unit economics) and ops dashboards. Full-time; contractor-to-hire acceptable.

Requirements:

1. Deep expertise in Google BigQuery advanced query writing optimization and performance tuning.
2. Strong command of SQL for building complex analytical queries and data transformations.
3. Understanding of data warehousing architecture and ETL (Extract Transform Load) workflows.
4. Experience with Google Cloud Platform (GCP) especially services like:

BigQuery
Cloud Storage
Cloud Functions
Dataflow or Pub/Sub

5. Proficiency in database administration (DBA) tasks:

Database design indexing and partitioning.
Monitoring performance and managing storage efficiency.
Backup recovery and disaster recovery planning.
User roles permissions and access control management.

6. Ability to set up and monitor data pipelines handle errors and ensure data integrity.

7. Experience in query cost optimization and managing resource utilization within BigQuery.

8. Familiarity with data governance security and compliance best practices.

Secondary Technical Skills:

1. Python for ETL/scripting; comfortable with REST/JSON/OAuth integrations.

2. Experience with data visualization tools such as Looker Studio Power BI or Tableau.

3. Understanding of API integration (REST JSON OAuth) for data exchange between platforms.

4. Familiarity with version control systems (e.g. Git) and CI/CD pipelines (nice to have).

5. AI services Integration

Analytical & Functional Skills:

1. Strong analytical mindset with the ability to interpret large datasets.

2. Excellent skills in data validation cleaning and transformation.

3. Capability to translate business needs into efficient data models and queries.

4. Experience troubleshooting data performance and pipeline issues.

Soft Skills:

1. Strong attention to detail and accuracy in data handling.

2. Excellent problem-solving and documentation abilities.

3. Effective communication and collaboration with technical and non-technical teams.

4. Ability to work independently with minimal supervision and manage multiple priorities.

How to apply:

Send a short note resume GitHub and (if available) portfolio.

Mandatory screening questions (answer briefly):

1. Describe a BigQuery cost or performance issue you solved. Include the bottleneck and the fix.

2. You see a discrepancy between a platforms dashboard metrics and your warehouse table. Walk through your triage steps.

3. Whats the most complex data pipeline youve built and what was it for

Required Skills:

SQL Python Google BigQuery Data Warehousing Architecture ETL Google Cloud Platform GCP Database Administration DBA Query Cost Optimization Cloud Storage Cloud Functions Dataflow Pub/Sub Data Governance Looker Studio Power BI Tableau API Integration Version Control Systems

This is a remote position. Summary: Own our data stack end-to-end. Build and maintain reliable pipelines into BigQuery enforce data quality/monitoring and deliver clean models that power marketing finance (unit economics) and ops dashboards. Full-time; contractor-to-hire acceptable. Requi...