Data Platform Engineer (AU, Retail, Hybrid)

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

Schedule: Monday to Friday (7:00AM - 4:00PM PHT)

2-3x per week onsite

Key Areas of accountability

The Key Areas Of Accountability In The Role Are

• Build and maintain scalable data pipelines and models
• Ensure data quality, integrity, and security
• Support project delivery and deployment
• Troubleshoot and optimize data pipelines
• Contribute to platform improvements and continuous improvement initiatives
• Stay current with modern data engineering tools and practices
• Perform additional duties as required

Key Result Areas

Deliverables/ Accountabilities

Platform Support

• Build and maintain enhancements to the client's Snowflake Platform across web, mobile, and digital channels within AWS Cloud.
• Follow strong engineering & operational practices to ensure the Snowflake platform and related services are operating efficiently.
• Collaborate with internal customers (architects, analysts, data scientists) to build data solutions that address specific business requirements.

Delivery and Quality Oversight

• Write clean, modular, and performant SQL and Python code that adheres to team standards and best practices.
• Implement and maintain DBT tests (unique, not_null, relationships) and custom data quality checks to ensure data accuracy throughout the pipeline.
• Participate in code reviews for teammates to ensure consistency, find bugs early, and maintain high engineering standards across the repository.
• Maintain up-to-date documentation for data models, DAGs, and transformations to ensure the "Single Source of Truth" is understandable for all users.
• Perform thorough Unit Testing and User Acceptance Testing (UAT) for all new data features before they are promoted to Production.

Join the awesome team and enjoy these benefits & perks:

• Hybrid Work Arrangement
• Medical, Dental Coverage and Life insurance from day 1 of employment
• Paid Vacation and Sick Leave (with Quarterly Sick Leave Conversion)
• Competitive salary package and annual appraisal
• Financial Assistance Program
• Mandatory Government Benefits and 13th Month Pay
• Complimentary Sleeping Quarters, Coffee at no cost
• Complimentary Office Fitness and Wellness Facilities at no cost
• Regular Company Events, Work Life Balance, and Career growth opportunities
• Accessible location at the heart of Metro Manila --- the Mega Tower, EDSA

JOIN CONNECTOS NOW!

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Equal Employment Statement

Employment decisions at ConnectOS will be conducted without consideration of factors such as age', race, color, religion, gender, disability status, sexual orientation, gender identity or expression, genetic information, and marital status. ConnectOS ensures the full confidentiality of the data it processes.