Data Engineer

Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Position Overview We are seeking a highly skilled Senior Data Engineer to design, build, and optimize our next-generation data platform on Google Cloud Platform (GCP). In this role, you will be the backbone of our data architecture, responsible for developing robust batch and streaming data pipelines, handling complex file ingestions, and ensuring the absolute reliability of our data ecosystem. If you are a problem-solver who thrives on optimizing complex SQL queries, orchestrating intricate workflows, and troubleshooting high-throughput data streams, we want you on our team. Key Responsibilities

Pipeline Development: Design, develop, and maintain scalable, high-performance batch and streaming data pipelines using GCP Dataflow (Apache Beam).

Data Ingestion: Build robust ingestion frameworks to consume data from a variety of sources, including API endpoints, databases, and structured/unstructured file formats.

Orchestration: Author, schedule, and monitor complex data workflows using Cloud Composer / Apache Airflow.

Data Warehousing & Storage: Optimize data storage and retrieval in BigQuery and manage transactional data integrity within Cloud Spanner.

Monitoring & Troubleshooting: Proactively monitor pipeline health, diagnose bottlenecks, and troubleshoot data quality or performance issues in production.

Performance Tuning: Write and optimize complex, highly efficient SQL queries and manage schema evolutions. Required Qualifications & Skills: GCP Ecosystem -Strong, hands-on experience with Dataflow, Cloud Composer, and BigQuery. Working knowledge of Cloud Spanner is highly desirable. Data Streaming -Proven experience handling both batch and real-time/streaming data processing paradigms (e.g., Pub/Sub to Dataflow). Languages -Mastery of SQL (analytical and transactional) and proficiency in Python or Java (for Apache Beam/Airflow). Operations -Strong experience in monitoring, logging, and alerting (e.g., GCP Cloud Monitoring/Cloud Logging) and standard debugging practices. Data Engineering Fundamentals -Solid understanding of data modeling, ETL/ELT processes, and handling various file formats (Avro, Parquet, JSON, CSV). Nice-to-Have Qualifications

Google Cloud Certified Professional Data Engineer.

Experience with CI/CD pipelines for data infrastructure (Terraform, GitHub Actions).

Familiarity with data governance and security best practices on GCP (IAM, KMS, DLP). Additional Information: - The candidate should have minimum 2 years of experience in Google BigQuery. - This position is based at our Manila office. Minimum 2 year(s) of experience is required