DevOps Engineer (Big Data / Hadoop) – Contract

NTT SINGAPORE PTE. LTD.; Singapore; On-site; SGD 80,000 - 100,000; Full time

Job summary

A leading financial services group in Singapore is seeking a skilled DevOps Engineer to manage deployments and ensure large-scale systems run smoothly. The role requires 4–7 years of experience, strong skills in Linux and scripting, and familiarity with CI/CD tools and big data technologies. This position offers a contract for 12 months, with the possibility of renewal.

Qualifications

• 4–7 years of DevOps/system engineering experience.
• Strong hands-on experience with Linux administration (RHEL preferred).
• Experience with CI/CD tools is essential.

Responsibilities

• Design, implement, and maintain CI/CD pipelines.
• Troubleshoot complex deployment issues and performance bottlenecks.
• Develop automation scripts to streamline tasks.
• Administer Linux environments and databases.

Skills

Linux administration

Shell scripting (Bash)

Python

CI/CD tools

Big data technologies

Troubleshooting skills

Communication skills

Education

Bachelor’s degree in Computer Science or equivalent

Tools

Jenkins

GitLab CI/CD

Hadoop

Cloudera CDP

Dataiku DSS

AWS

Job description

DevOps Engineer (Big Data / Hadoop) – Contract

Employment Type: Contract (12 months, renewable)

Location: Central, Singapore

Experience Required: 4–7 years

Salary Range: Based on Experience

Interested candidates are kindly requested to email their CV with their experience to [e-mail]

Our client is a leading financial services and insurance group headquartered in Singapore with a strong regional presence across Asia.

We are looking for a skilled DevOps Engineer to support a financial services project. The engineer will be responsible for managing and automating deployments, troubleshooting issues across big data and CI/CD environments, and ensuring smooth operations of large-scale systems.

Key Responsibilities:

• Design, implement, and maintain CI/CD pipelines for software build, test, and deployment.
• Troubleshoot and resolve complex deployment issues, performance bottlenecks, and system failures.
• Develop and maintain automation scripts in Bash and Python to streamline system administration tasks.
• Collaborate with data engineers, scientists, and development teams to optimize workflows.
• Manage and administer Linux environments (RHEL, Ubuntu) in both on-premise and data center setups.
• Handle database administration for Hadoop (CDP), MySQL, SQL.
• Support security configurations including Kerberos, LDAP, TLS, Ranger, SSSD.
• Deploy and administer Dataiku DSS and Project Deployer.
• Document processes, configurations, and troubleshooting steps.
• Provide technical guidance and production support.

Requirements

• Bachelor’s degree in Computer Science, IT, or equivalent experience.
• 4–7 years of DevOps / system engineering experience.
• Strong hands-on experience with Linux administration (RHEL preferred).
• Proficiency in shell scripting (Bash) and Python.
• Experience with CI/CD tools (Jenkins, GitLab CI/CD).
• Knowledge of big data technologies (Hadoop, Cloudera CDP).
• Familiarity with Dataiku deployment & administration is highly desirable.
• Strong troubleshooting and problem-solving skills.
• Good communication and stakeholder collaboration skills.
• Exposure to cloud platforms (AWS) is a plus.

Interested candidates are kindly requested to email their CV with their experience to [e-mail]