Data Platform Engineer
CodeRound · Negros Occidental, Philippines ·
- Category
- Data engineering
Design, build, and maintain scalable data platform infrastructure and ETL/ELT pipelines that power analytics, AI/ML, and BI for a Gartner-recognized AI supply chain scaleup. Core focus areas are distributed data systems, cloud infrastructure, and large-scale batch and real-time data processing.
Client: A fast-growing, Gartner-recognized AI enterprise scaleup backed by $67M in funding that builds next-generation, math-first platforms to transform global supply chain decisions.
Requirements:
We are looking for a Data Platform Engineer to design, build, and maintain scalable data infrastructure and platform services that power analytics, AI/ML, and business intelligence systems. The ideal candidate should have strong experience with distributed data systems, cloud infrastructure, and large-scale data processing.
Responsibilities:
- Design and maintain scalable data platform infrastructure
- Build and optimize batch and real-time data pipelines
- Develop reliable ETL/ELT workflows for large-scale datasets
- Manage distributed data processing systems and tools
- Collaborate with data scientists, analysts, and backend teams
- Ensure platform scalability, security, and reliability
- Monitor and troubleshoot production data systems
- Improve data governance and data quality processes
- Automate infrastructure and deployment workflows
- Contribute to architecture and technical decision-making