System Engineer

CYGNIFY PTE. LTD.

Singapore
Hybrid cloud and on-premises infrastructure management
Pyspark and airflow pipeline operations
Aws services including s3, emr, redshift, rds
This role focuses on building, running, and optimizing production-grade data platforms and pipelines in hybrid environments

Job Summary

  • This role focuses on building, running, and optimizing production-grade data platforms and pipelines in hybrid environments.
  • You will work closely with data engineers, scientists, and security teams to ensure data quality and operational excellence.
  • The position requires strong ownership of infrastructure, automation, reliability, and operations for large-scale big data systems.

Matching Summary

Match Score: 85

This role focuses on building, running, and optimizing production-grade data platforms and pipelines in hybrid environments.

Skills & Requirements

Must-have

  • Hybrid cloud and on-premises infrastructure management
  • PySpark and Airflow pipeline operations
  • AWS services including S3, EMR, Redshift, RDS
  • Docker and Kubernetes container orchestration
  • CI/CD automation with GitLab or Jenkins
  • Network fundamentals VPC DNS firewalls
  • Security compliance IAM encryption backups

Nice-to-have

  • MLOps platform support experience
  • Cross-functional collaboration skills
  • Root cause analysis expertise
  • Data quality validation knowledge
  • Performance tuning capabilities

Key Requirements

  • Degree in Computer Science or equivalent experience
  • 2-5+ years hands-on DevOps or Data Platform Engineering experience
  • Experience managing on-premises and cloud infrastructure
  • Knowledge of Spark PySpark and Airflow at operational level
  • Understanding of containerization Docker and Kubernetes

Work Rights

Not specified

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