Responsibilities
- Enhance and maintain BigQuery datasets, schemas, and queries to support analytics and reporting needs
- Build, optimize, and operate cloud-based ETL/ELT pipelines using GCP services
- Monitor and troubleshoot BigQuery performance, query costs, and pipeline stability to ensure efficiency and reliability
- Apply data governance, security controls, and validation checks to maintain data quality and compliance
- Collaborate with engineers, analysts, and stakeholders to deliver agreed project outcomes within defined timelines
Requirements
- Minimum of 5 years’ hands-on experience in data engineering with Google Cloud Platform (GCP)
- Strong expertise in BigQuery, including SQL optimisation, partitioning, clustering, and cost/performance management
- Solid experience building and operating cloud-based ETL/ELT pipelines using GCP services (Dataflow, Dataproc, Composer, Pub/Sub)
- Proficiency in Python, PySpark, or Scala for data pipeline development and optimisation
- Demonstrated ability to monitor, troubleshoot, and optimise BigQuery performance and pipeline stability
- Strong knowledge of data governance, security controls (IAM roles, authorised views), and data quality validation
- Clear communication skills with experience collaborating across engineering, analytics, and stakeholder teams
As this position needs to be filled as soon as possible, we can only proceed with candidates who are eligible to start working in Singapore without sponsorship.
RW
BeathChapman Pte Ltd
EA Licence: 16S8112
Reg No: R1332780
Interested parties please get in touch with Rob Wisdom via rob.wisdom@ethosbc.com
