About Capgemini

Capgemini is a global leader in consulting, technology and digital transformation. We partner with leading financial institutions to deliver innovative solutions powered by cloud, data and intelligent operations. Our teams collaborate across regions and capabilities to create real value for our clients while building inclusive, people centric workplaces where everyone can thrive.

We believe in shared success, continuous learning and driving meaningful change.

About the Role

We are looking for a dedicated Hadoop Administrator with three to five years of hands on experience in managing enterprise grade Hadoop environments. You will play a key role in supporting data platforms used across the Banking and Financial Services landscape.

This role sits within our Financial Services Strategic Business Unit in Singapore and involves close collaboration with data engineering, infrastructure and application teams across the region.

All hiring decisions are made based on merit, experience and business requirements in alignment with TAFEP fair employment practices.

Key Responsibilities

• Install, configure and upgrade Hadoop clusters and components in production and non production environments
• Monitor and support HDFS, YARN, Hive, Spark, Zookeeper and related services
• Perform cluster health checks, performance tuning and capacity planning
• Manage security using Kerberos, Ranger or equivalent access management frameworks
• Implement backup, restoration and disaster readiness procedures
• Troubleshoot service failures and system issues with quick response and resolution
• Coordinate patching, upgrades and maintenance activities with minimum disruption
• Support data engineering and analytics teams on cluster related requirements
• Prepare and maintain operational runbooks and documentation
• Ensure compliance with Capgemini security standards, audit requirements and industry best practices

Required Skills and Experience

• Three to five years of hands on experience in Hadoop administration
• Strong understanding of distributed systems, cluster management and Hadoop architecture
• Knowledge of Linux administration and scripting using Shell, Python or similar
• Experience with Hadoop ecosystem tools such as Hive, Spark, Kafka, Oozie or Zookeeper
• Ability to analyze logs, performance metrics and system behaviors
• Experience with monitoring and automation tools such as Ambari, Cloudera Manager, Grafana or Splunk
• Knowledge of cloud based Hadoop platforms or big data services is an advantage
• Strong communication skills and experience working with cross functional teams

Education

• Bachelor degree in Computer Science, Information Technology, Engineering or related discipline
• Equivalent experience may also be considered

Why Join Capgemini

• Work on large scale data initiatives with major Banking and Financial Services clients
• Opportunity to collaborate with regional and global experts
• Learning and development pathways through Capgemini University
• Inclusive, diverse and people driven culture that supports growth and well being

Our Commitment to Fair Employment

Capgemini adheres to the Tripartite Alliance for Fair and Progressive Employment Practices guidelines. All applicants will receive fair consideration based on skills, experience and organisational fit. We do not discriminate based on age, race, gender, religion, marital status, family responsibilities or disability.