Responsibilities:
- Design, develop, and maintain scalable ETL/ELT data pipelines to ingest, transform, and deliver data across internal and external systems.
- Integrate data from a wide variety of sources including APIs, databases, cloud storage, SaaS applications, and streaming platforms.
- Optimize data architecture for performance, reliability, and cost-efficiency in cloud environments (e.g., AWS, Azure, GCP).
- Collaborate with stakeholders to understand data requirements and translate them into effective technical solutions.
- Ensure data quality, consistency, and governance throughout the pipeline lifecycle.
- Implement monitoring, logging, and alerting for pipeline performance and failures.
- Maintain and improve documentation for data flows, schemas, and infrastructure components.
- Partner with DevOps/Platform teams to ensure infrastructure is automated, repeatable, and secure.
- Participate in code reviews and follow best practices for software development and data engineering.
- Any other ad-hoc duties as assigned by supervisor.
Requirements:
- 5+ years of experience in data engineering with a proven track record of delivering large-scale data solutions.
- Strong expertise in Snowflake, Advanced SQL, GBI ETL framework, and Python.
- Hands-on experience in designing and implementing data pipelines, data integration, and data warehousing solutions.
- Prior experience in stakeholder management, including requirements gathering, design playback, and presentations.
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
Interested applicants, please email your resume to Andre Chua Jing Ming
Email: andrechua@recruitexpress.com.sg
CEI Reg No: R1989053
EA Licence No: 99C4599
Recruit Express Pte Ltd