Lead, Data Engineer

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

Do you want to take the first step in making Filipinos’ lives better everyday? Here in GCash we want to stay at the forefront of the FinTech industry by creating innovative, meaningful, and convenient financial solutions for the nation! G ka ba? Join the G Nation today!

Who You’ll Be Working With

If you have a strong background in IT, computer science, or software engineering, and are analytical, technologically savvy, solutions and process-focused, then the Technology & Operations team may be for you!

You Will Be Responsible For The Following

• Design and develop data pipelines that will ingest the data from the respective source systems into the data warehouse.
• Support and optimize existing data pipelines to ensure that the downstream SLAs are met.
• Responsible in attending agile ceremonies as part of the Agile Tribe set-up and delivering the different demands of the Tribe related to data ingestions to the data warehouse platform.
• Ensures data quality within the data warehouse tables.
• Ensures the data engineering standards and practices are followed like code version history, readability, functionality, extendibility, test runs, deployments, and post deployment support

We’re Looking For

• Graduate of any IT related courses like BS Computer Science, Information Technology or the likes. With 4-6 years of experience in IT project delivery or data development delivery particularly in Data Warehousing or Business Intelligence.
• Strong SQL and ETL development experience, preferably related to Data Warehousing, Business Intelligence, or other Data Delivery projects.
• Experience in Big Data, Hadoop, EMR, Hive, and cloud environments is a plus. Proficiency in Python, R, Java, Scala is a plus.
• Proficiency in data modeling, data integrations, data quality, and data architecture is a plus.
• AWS data integrations (Glue, Athena), AWS MSK, Spark, Databricks, Delta lake, Data Lake, Kafka, Confluent, Real-time processing, Data Streaming

What We Offer

Opportunity for career growth and development in the #1 FinTech company in the country Working with a dynamic and highly collaborative team who want to change the game A company that values their people with highly competitive and flexible compensation and benefits package