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Open nowPosted today

IT Storage Engineer (HDFS)

MTS SYSTEMS ENGINEERING PTE. LTD.

Pay
SGD 5,000 – SGD 8,000 a month
Where
Singapore
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Your applicationOpen nowIT Storage Engineer (HDFS)MTS SYSTEMS ENGINEERING PTE. LTD. · Singapore

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: posted today

The posting

Key Responsibilities:

- Design, deploy, and maintain HDFS clusters to support enterprise-scale data applications.

- Monitor cluster performance, manage storage capacity, and ensure high availability and fault tolerance.

- Implement data security, access controls, and encryption for HDFS data.

- Troubleshoot and resolve issues related to HDFS, including data node failures, replication issues, and performance bottlenecks.

- Manage data ingestion pipelines and optimize data storage formats (e.g., Parquet, Avro).

- Support and work with data engineering and analytics teams to ensure reliable data delivery and transformation workflows.

- Automate cluster operations using scripting (e.g., Bash, Python) and orchestration tools.

- Conduct upgrades and patching of Hadoop ecosystem components (HDFS, YARN, Hive, etc.).

- Maintain documentation of architecture, configurations, and best practices.

- Ensure compliance with data governance and data privacy policies.

Qualifications:

Bachelor’s degree in Computer Science, Information Systems, or a related field.

3–5+ years of experience with Hadoop ecosystem, particularly HDFS administration.

Strong understanding of HDFS architecture, replication, and fault tolerance.

Experience with Cloudera, Hortonworks, or Apache Hadoop distributions.

Proficiency in Linux/Unix system administration and scripting (Bash, Python, etc.).

Familiarity with related components: YARN, Hive, HBase, Spark, Oozie, and Zookeeper.

Experience with monitoring tools like Ambari, Cloudera Manager, or Nagios.

Preferred:

Hadoop certification (e.g., Cloudera Certified Administrator for Apache Hadoop - CCAH).

Knowledge of cloud-based big data platforms (AWS EMR, Azure HDInsight, GCP Dataproc).

Experience with containerization (Docker/Kubernetes) for big data workloads.

Exposure to data lake architectures and data governance tools.

Posting text belongs to the employer. Removal requests: contact us.

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