Hybrid Data Platform Engineer — AU Retail, Snowflake & Pipelines

ConnectOS; Metro Manila; Hybrid; PHP 900,000 - 1,500,000; Full time

Benefits offered by this job

Hybrid work

Healthcare coverage

Paid time off

Competitive salary

13th month pay

Wellness facilities

Career growth

Job summary

ConnectOS is seeking a data platform engineer to build and maintain scalable data pipelines and Snowflake-based solutions in an AWS environment. You will collaborate with architects, analysts, and data scientists to deliver reliable data models and features.

The role requires strong SQL and Python skills, DBT testing, and adherence to data quality standards. A hybrid work arrangement is offered with on-site days in Metro Manila.

Qualifications

• Experience building scalable data pipelines and data models.
• Strong SQL and Python coding for data engineering.
• Knowledge of DBT tests and data quality checks.

Responsibilities

• Build and maintain Snowflake platform enhancements across web, mobile, and digital channels in AWS.
• Write clean SQL and Python code; follow team standards.
• Implement DBT tests and data quality checks to ensure data accuracy.
• Review code and maintain documentation for data models and DAGs.
• Perform unit testing and UAT for new data features before production.

Skills

SQL

Python

Data pipelines

DBT tests

AWS Cloud

Data quality

Tools

Snowflake

DBT

Job description

ConnectOS is seeking a data platform engineer to build and maintain scalable data pipelines and Snowflake-based solutions in an AWS environment. You will collaborate with architects, analysts, and data scientists to deliver reliable data models and features.

The role requires strong SQL and Python skills, DBT testing, and adherence to data quality standards. A hybrid work arrangement is offered with on-site days in Metro Manila.