GCP Data Engineer

Xurpas Enterprise; Taguig; On-site; PHP 669,600 - 1,004,400; Full time

Job summary

A technology services provider in Metro Manila is looking for a Data Engineer to design and support data pipelines on Google Cloud Platform. The role requires hands-on experience with GCP services such as BigQuery and Cloud Composer, expertise in Python for ETL processes, and strong analytical skills. Candidates should have 3–5 years in data roles and experience with data integration and security protocols. This position aims to strengthen data processing and ensure compliance.

Qualifications

• 3–5+ years of hands-on experience in Data Engineering or Data Warehousing roles.
• At least 2 years specifically focused on Google Cloud Platform (GCP).
• Expert-level knowledge of BigQuery and Cloud Composer for orchestration.

Responsibilities

• Design, create, code, and support data pipelines on GCP.
• Partner with analysts and architects to deliver data requirements.
• Develop data integration and ETL processes.

Skills

Data engineering

GCP services

BigQuery

Python

SQL

ETL processes

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

GCP

Cloud Composer

Job description

Responsibilities

• Design, create, code, and support a variety of data pipelines and models on GCP cloud technology
• Strong hand‑on exposure to GCP services like BigQuery, Composer, etc.
• Partner with business/data analysts, architects, and other key project stakeholders to deliver data requirements.
• Develop data integration and ETL (Extract, Transform, Load) processes.
• Support existing data warehouses & related pipelines.
• Ensure data quality, security, and compliance.
• Optimize data processing and storage efficiency, troubleshoot issues in the data space.
• Seek to learn new skills/tools utilized in the data space (ex: dbt, MonteCarlo, etc.)
• Exhibit excellent communication skills—verbal and written—and strong analytical skills with an Agile mindset.
• Demonstrate a strong affinity toward paying attention to details and delivery accuracy.
• Be a self‑motivated team player able to overcome challenges and achieve desired results.
• Work effectively in a global distributed environment.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, or a related quantitative field.
• 3–5+ years of hands‑on experience in Data Engineering or Data Warehousing roles.
• At least 2 years specifically focused on Google Cloud Platform (GCP).
• Expert‑level knowledge of BigQuery (SQL, optimization, partitioning) and Cloud Composer (Apache Airflow) for orchestration.
• Proficiency in Python (specifically for ETL and Airflow DAGs) and advanced SQL.
• Strong experience in designing Star/Snowflake schemas and dimensional modeling.
• Proven track record of building and maintaining scalable data pipelines and managing data integration from diverse sources.
• Experience implementing data validation, cleansing, and security protocols (IAM, encryption).