Data Platform Engineer (AU, Retail, Hybrid)
Summary
Build and maintain scalable data pipelines and models, ensure data quality/integrity/security, troubleshoot/optimize pipelines, and contribute to platform improvements. Stays current with modern data engineering tools and practices.
Schedule: Monday to Friday (7:00AM - 4:00PM PHT) 2-3x per week onsite
What will you do?
The key areas of accountability in the role are:
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.
What will you do?
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
- 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.
- 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.
- 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
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.