Senior Data Engineer
Indexed description
Key Responsibilities
- Platform Orchestration: Design and maintain end-to-end data pipelines using Fivetran for ingestion and dbt for sophisticated transformations.
- Architecture Management: Implement and optimize a Medallion Data Architecture (Bronze/Silver/Gold) within BigQuery to ensure data quality and lineage.
- Governance & Security: Utilize Google Dataplex for data fabric management and Google Sensitive Data Protection (SDP) to ensure compliance and PII masking.
- Data Modeling: Build and maintain the semantic layer using LookML to provide a unified data catalog and consistent business logic.
- Visualization Support: Partner with BI Analysts to enable high-performance reporting in both Power BI and Looker.
- Reliability Engineering: Monitor pipeline health, optimize BigQuery slot utilization, and implement automated CI/CD for data deployments.
- Experience: 5+ years in data engineering, with a heavy focus on the Google Cloud Platform (GCP) ecosystem.
- BigQuery Mastery: Deep knowledge of partitioning, clustering, and SQL optimization.
- dbt Expertise: Proven track record of managing complex dbt projects (macros, tests, and documentation).
- Security Mindset: Familiarity with Google SDP and managing data access controls at scale.
- Semantic Layering: Experience writing LookML to define dimensions, measures, and explores.
- Communication: Ability to explain technical trade-offs to non-technical stakeholders (e.g., why we need a Silver layer before jumping to Gold)
- Ideal candidate will have experience in the Retail and/or eCommerce environments
- Willing to work onsite office at Ortigas, Pasig City
Application Question(s)
- Which of the following tools or platforms have you used in a production environment? List your answer/s.
dbt (data build tool)
Fivetran
Google Cloud Platform (GCP)
Looker / LookML
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search