Data Platform Engineer
Summary
Builds and optimizes Snowflake data warehouses and ETL/ELT pipelines using dbt and Airflow, collaborating with analysts to deliver clean, scalable data models.
Hybrid - Mandaluyong 5-10 Yrs Exp Bachelor Full-time
Job Title
Snowflake Data Warehouse Developer
Description
We are seeking a skilled and experienced Snowflake Data Warehouse Developer to design, develop, and maintain cloud-based data warehousing solutions. You will collaborate closely with data engineers, analysts, and business stakeholders to build scalable and high-performing data models and pipelines using Snowflake.
Key Responsibilities
- Design, develop, and implement robust Snowflake data warehouse solutions
- Develop ETL/ELT pipelines to extract, transform, and load data from various sources into Snowflake
- Create and maintain data models, views, schemas, and stored procedures
- Collaborate with data analysts and business stakeholders to understand requirements and ensure data accuracy and availability
- Optimize data warehouse performance, including query tuning and resource optimization
- Implement and enforce data governance, security, and compliance policies
- Integrate Snowflake with third-party tools (e.g., dbt, Fivetran, Tableau, Power BI)
- Monitor and troubleshoot data workflows and address data quality issues
Must-Have Skills
- Snowflake Data Warehouse
- DBT
- Airflow
Experience Required
- 5 years
Work Schedule
- 45 hours per week
- Shift: 8:00 AM – 6:00 PM
- Hybrid setup: 2 days in the office per week
Working Location
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