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.

Required Qualifications & Skills:

• Minimum 2 year(s) of relevant experience is required

• 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:

• This position is based at our Manila office.

• Open for those applicants who are currently in the Philippines and already have the right to live and work in this country are eligible for this role