Senior Data Engineer - Data Pipelines & Warehouse Systems

GCash

Metro Manila

On-site

PHP 900,000 - 1,500,000

Full time

11 days ago
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Benefits offered by this job

Career growth
Collaborative team
Competitive package

Job summary

GCash in Manila is seeking a data engineer to design and develop data pipelines ingesting data into a data warehouse and to optimize pipelines to meet SLAs. You will participate in Agile ceremonies and ensure data quality across warehouse tables.

The role requires a BS in IT or related field and 4–6 years in IT delivery or data delivery, with strong SQL and ETL skills. Experience with Big Data technologies and cloud native tools is a plus.

Qualifications

  • Bachelor’s degree in IT or related field (e.g., Computer Science, Information Technology).
  • 4–6 years of experience in IT project/data delivery, specifically Data Warehousing or Business Intelligence.
  • Strong SQL and ETL development experience, with data warehousing context.
  • Experience with Big Data technologies and cloud environments is a plus.

Responsibilities

  • Design and develop data pipelines to ingest data from source systems into the data warehouse.
  • Support and optimize existing pipelines to meet downstream SLAs.
  • Participate in Agile ceremonies and deliver data ingestion requirements for the data warehouse platform.
  • Ensure data quality within the data warehouse tables and maintain standards.

Skills

SQL
ETL
Data warehousing
Data modeling

Education

Bachelor's degree in IT/Computer Science

Tools

Python
R
Java
Scala
Spark
Databricks
Hive
Hadoop
EMR
AWS Glue
Athena
Kafka
Confluent

Job description

GCash in Manila is seeking a data engineer to design and develop data pipelines ingesting data into a data warehouse and to optimize pipelines to meet SLAs. You will participate in Agile ceremonies and ensure data quality across warehouse tables.

The role requires a BS in IT or related field and 4–6 years in IT delivery or data delivery, with strong SQL and ETL skills. Experience with Big Data technologies and cloud native tools is a plus.

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