Senior Data Engineer (GCP) | Onsite in Manila - (ATCP-1251131-S396100)

Gratitude Philippines; Manila; On-site; PHP 502,000 - 725,000; Full time

Job summary

Gratitude Philippines is seeking a Senior Data Engineer to design and optimize a Google Cloud-based data platform. You will build robust batch and streaming pipelines, handle ingestions, and ensure data reliability in a fast-paced environment.

The role requires strong SQL and Python or Java, hands-on GCP with Dataflow, Cloud Composer, and BigQuery, plus monitoring and debugging of high-throughput data flows. Onsite in Manila/Taguig with a shifting schedule.

Qualifications

• Minimum 2 years of relevant experience in data engineering.
• Hands-on GCP with Dataflow, Cloud Composer and BigQuery.
• Experience in batch and real-time data processing and ingestions.
• Strong SQL skills and programming in Python or Java.
• Experience in monitoring, logging, and debugging data pipelines.

Responsibilities

• Design, build, and optimize data pipelines on GCP.
• Develop robust batch and streaming data workflows.
• Ensure reliability and performance of the data ecosystem.
• Handle diverse file formats and data ingestion scenarios.

Skills

GCP Dataflow

Cloud Composer

BigQuery

SQL

Python

Java

Data streaming

ETL/ELT

Data modeling

Cloud Monitoring

Tools

Dataflow

Cloud Composer

BigQuery

Pub/Sub

Terraform

GitHub Actions

Job description

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?