JOB TITLE: Senior Data Engineer - CL10

WORK SET UP: Onsite in Manila/ Taguig

WORK SHIFT: Shifting

Salary budget: 45K - 65K 


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.

RECRUITMENT PROCESS:


• Screening with CV Reviewer

• Endorse for Validation and further CV screening through Workday, along with the HRI toolkit, FCV, and CV

• For review with the client



PRE-SCREENING QUESTIONS:


1. How many years of relevant working experience do you have as a Data Engineer?

2. How many years of experience do you have in the GCP Ecosystem?

3. Share all your technical and soft skills relevant for this role.

4. How much is your last drawn salary?

5. What is your salary expectation?

6. Are you amenable to working onsite setup with a shifting schedule in Manila?