Lead Data Engineer - Data Warehousing & Pipelines

GCash; Metro Manila; On-site; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

Career growth opportunities

Competitive compensation and benefits

Job summary

GCash is hiring a Data Engineer to design and build data pipelines that feed the data warehouse and ensure data quality. You will optimize pipelines, participate in Agile ceremonies, and deliver data ingestion requirements across the Tribe. Strong SQL/ETL, DW/BI experience, and familiarity with Hadoop/Spark/Cloud tools are required for this role.

The team emphasizes data quality, standards, and scalable architectures to support analytics and business decisions in a FinTech environment.

Qualifications

• 4–6 years in IT project delivery or data development delivery, especially Data Warehousing or BI.

Responsibilities

• Design and develop data pipelines to ingest data from source systems into the data warehouse.
• Support and optimize pipelines to meet downstream SLAs.
• Attend Agile ceremonies and deliver data ingestion requirements for the data warehouse platform.
• Ensure data quality within data warehouse tables.
• Adhere to data engineering standards: versioning, readability, testing, deployments, and post-deployment support.

Skills

SQL & ETL

Data modeling

Data quality

Data architecture

Python

Java

Scala

R

Education

BS Computer Science / IT / related field

Tools

Hadoop

EMR

Hive

Spark

Databricks

Kafka

Confluent

Delta Lake

Job description

GCash is hiring a Data Engineer to design and build data pipelines that feed the data warehouse and ensure data quality. You will optimize pipelines, participate in Agile ceremonies, and deliver data ingestion requirements across the Tribe. Strong SQL/ETL, DW/BI experience, and familiarity with Hadoop/Spark/Cloud tools are required for this role.

The team emphasizes data quality, standards, and scalable architectures to support analytics and business decisions in a FinTech environment.