Found Description
What will you do?
Schedule: Monday to Friday (7am to 4pm PHT)
Hybrid: 3x per week onsite
About the Role
ConnectOS is seeking a highly capable Data Engineer to design, build, and optimize scalable data infrastructure that supports real‑time insights and data‑driven decision‑making across the organization. This role focuses on modern data stack technologies , including Snowflake, dbt, and ETL tools, and requires strong ownership in building and maintaining end‑to‑end data pipelines and warehouse solutions.
Data Pipeline Engineering
- Design, build, and maintain scalable ETL/ELT pipelines using modern data tools
- Develop robust and efficient data transformations using Python and SQL
- Integrate and manage data ingestion using tools such as Fivetran or similar
- Implement data validation, testing, and quality frameworks
- Monitor, troubleshoot, and optimize pipeline performance <...
Ready to Apply?
Submit your application for Data Engineer [Snowflake, dbt, Fivetran, RBAC] (AU, FinTech, Hybrid) at ConnectOS
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