Data Platform Engineer (Data Ops/Big Data)

CYGNIFY PTE. LTD.

Singapore
Not specified (likely hybrid based on industry trends)
Linux-based system management
Aws cloud infrastructure (s3, redshift)
Distributed systems (hadoop, spark, airflow)
Cygnify Pte. Ltd. is seeking a Data Platform Engineer to manage and optimize large-scale big data platforms in hybrid environments. The ideal candidate will have experience in system engineering, infrastructure, and DevOps, focusing on data reliability and platform operations

Job Summary

  • This role involves operating large-scale big data platforms across hybrid environments to enable reliable analytics.
  • The engineer will own the end-to-end platform lifecycle including architecture design, deployment, and reliability engineering.
  • Key responsibilities include maintaining data clusters, optimizing ETL/ELT pipelines, and enforcing security best practices.

Matching Summary

Match Score: 85

Cygnify Pte. Ltd. is seeking a Data Platform Engineer to manage and optimize large-scale big data platforms in hybrid environments. The ideal candidate will have experience in system engineering, infrastructure, and DevOps, focusing on data reliability and platform operations.

Skills & Requirements

Must-have

  • Linux-based system management
  • AWS cloud infrastructure (S3, Redshift)
  • Distributed systems (Hadoop, Spark, Airflow)
  • Network fundamentals (TCP/IP, VPC, DNS)
  • Monitoring tools (Prometheus, Grafana, ELK)

Nice-to-have

  • Strong troubleshooting in production environments
  • Collaboration with data scientists and engineers
  • Experience with hybrid on-premises and cloud

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • 2-5+ years experience in System Engineering, DevOps, or Data Engineering
  • Hands-on experience managing Linux-based systems

Work Rights

Not specified

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