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A leading cybersecurity firm in Singapore is seeking a Data Engineer to design and maintain scalable data pipelines. The role involves optimizing data storage and retrieval while ensuring data quality. Candidates should have experience with Python, data orchestration tools, and cloud technologies. Selected candidates will undergo an 11-week sponsored training before full-time deployment.
Design, build, and maintain scalable, reliable data pipelines to support diverse business and AI applications
Take ownership of pipeline health. Proactively monitor performance, debug issues, and improve data quality
Collaborate with cross-functional teams to translate data needs into technical solutions
Implement data pipeline orchestration using tools such as Apache Airflow or AWS Step Functions
Optimise data storage and retrieval across RDBMS (Postgres, MSSQL), object stores (MinIO/S3), and graph databases (Neo4j)
Design data schemas (normalized, denormalized, star-schema) and enforce proper access and backup protocols
Support analytics, product development, and AI POCs with clean, well-managed data structures
Apply scripting (Python) and open-source tools to automate data workflows and ETL processes
All selected candidates will undergo a 11-week, fully sponsored on-job-training with allowance, before being deployed full-time for 3 years.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.