Lead Data Platform Engineer – Google Cloud

Procter & Gamble Philippines; Manila; On-site; PHP 3,000,000 - 4,200,000; Full time

Job summary

Procter & Gamble Philippines is seeking a Senior Data Engineer to drive the data platform on Google Cloud, collaborate with global teams, and deliver high-quality data pipelines and governance. You will mentor juniors and partner with engineering, operations, and product leaders to unlock new business opportunities while securing consumer data.

You will design and implement data ingestion, transformation, modeling, and warehousing solutions using BigQuery, Spanner, Cloud SQL, and orchestration

Qualifications

• Bachelor's or master's degree in computer science, data engineering, or a related field, with 5+ year work experience in data engineering and cloud platforms.
• Strong proficiency in Google Cloud services such as Spanner, BigQuery, Cloud Composers or equivalent experience in other cloud-environments
• Experience with ETL tools and frameworks such as Spark, Dataflow and Cloud Composer/Airflow for data integration and transformation.
• Proficiency in Python, Java and SQL for data manipulation, scripting, and automation.
• Knowledge of data modeling techniques and experience with data modeling tools.
• Familiarity with relational databases (e.g., Cloud SQL, Cloud Spanner).
• Understanding of data warehousing concepts and BigQuery experience.
• Knowledge of data governance principles and privacy regulations (GDPR, CCPA).
• Experience with Looker Studio/PowerBI or other BI tools to build semantic data models and dashboards.
• Familiarity with cloud computing concepts and Google Cloud Platform.

Responsibilities

• Data Ingestion: Develop and maintain data pipelines to extract data from various sources and load into Google Cloud environments.
• Data Transformation: Implement data transformation processes including data cleansing, normalization, streaming schema validation and aggregation.
• Data Modeling: Develop and maintain data models and schemas to support storage and retrieval in Google Cloud platforms (CloudSQL, BigQuery, Cloud Spanner).
• Data Warehousing: Build data warehouses or data lakes using Google Cloud services such as BigQuery.
• Data Integration: Integrate data from multiple sources using tools like Managed Airflow, Dataflow, Dataform or other relevant tools.
• Data Governance: Implement data governance including data security, privacy, and regulatory compliance.
• Performance Optimization: Optimize database performance balancing scale and cost.
• Monitoring and Troubleshooting: Monitor performance and troubleshoot data-related problems with observability tools.
• Data Visualization: Build data structures to support front-end dashboards and reports for faster decision making.
• Collaboration: Work with product managers to ensure superior product delivery and business value.
• Documentation: Document data engineering processes and configurations.

Skills

Python

Java

SQL

Data modeling

ETL

Data governance

Analytical thinking

Problem solving

DevOps

Education

Bachelor's or Master's in CS/data engineering

Tools

Google Cloud Platform

BigQuery

Spanner

Cloud SQL

Cloud Composer/Airflow

Dataflow

Terraform

Github

Looker Studio/PowerBI

Job description

Procter & Gamble Philippines is seeking a Senior Data Engineer to drive the data platform on Google Cloud, collaborate with global teams, and deliver high-quality data pipelines and governance. You will mentor juniors and partner with engineering, operations, and product leaders to unlock new business opportunities while securing consumer data.

You will design and implement data ingestion, transformation, modeling, and warehousing solutions using BigQuery, Spanner, Cloud SQL, and orchestration