Big Data Platform Administrator (Kafka / Hadoop / MongoDB)
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Summary
Level 2 administrator for a big data platform supporting real-time payment processing: administers and tunes Hadoop, Kafka, MongoDB, Redis, OpenSearch/Elasticsearch, and NiFi clusters, handling patching, scaling, incidents, documentation, and on-call/rotational shift support. Requires 6-8 years of data platform engineering, Linux scripting (Shell/Python), and AWS knowledge.
Responsibilities:
Provide Level 2 support for Big Data platforms and production environments
Administer and maintain Hadoop, Kafka, Redis, MongoDB, OpenSearch/Elasticsearch, and NiFi platforms
Ensure high availability, resilience, and performance of critical systems
Perform cluster provisioning, patching, scaling, tuning, and troubleshooting
Support real-time payment transaction processing and streaming infrastructure
Monitor system health, incident management, and issue resolution
Work closely with architects, project teams, developers, and service managers
Drive continuous improvement, automation, and operational best practices
Support security, governance, and access control requirements
Prepare and maintain technical documentation, SOPs, and runbooks
Participate in on-call support, shift rotation, and critical incident handling
Requirements: 6 to8 years of experience in Big Data / Data Platform Engineering within enterprise environments Strong hands-on experience with Hadoop ecosystem including HDFS, YARN, MapReduce, Hive, HBase, Oozie, Sqoop, and Flume Experience administering Apache Kafka in high-throughput production environments Strong experience managing Redis and MongoDB clusters Experience supporting OpenSearch / Elasticsearch platforms Hands-on experience with Apache NiFi and AWS EMR Good knowledge of AWS Cloud services Strong Linux system administration and scripting skills using Shell and/or Python Experience with Kerberos, PAM, data security, and access governance Experience supporting high-volume, low-latency systems, preferably in banking, payments, or trading environments Strong troubleshooting, incident management, and production support experience Good understanding of cluster performance tuning, scalability, and high availability Ability to work independently in a fast-paced production environment Strong communication, interpersonal, and stakeholder management skills AWS Cloud certification will be an added advantage Knowledge of JVM, ETL tools, virtual machines, RAID, and hardware configuration is advantageous Additional info: This role is offered on a 1-year renewable contract basis Candidates must be comfortable with rotational shift schedules (no overnight shifts) Support coverage includes Asia and EMEA regions Weekend and public holiday support may be required for critical incidents and escalations To apply, please visit and search for Job Reference:
W35RY94W To learn more about this opportunity, please contact Yingying at (HIDDEN TEXT) We regret that only shortlisted candidates will be notified. GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239
Requirements: 6 to8 years of experience in Big Data / Data Platform Engineering within enterprise environments Strong hands-on experience with Hadoop ecosystem including HDFS, YARN, MapReduce, Hive, HBase, Oozie, Sqoop, and Flume Experience administering Apache Kafka in high-throughput production environments Strong experience managing Redis and MongoDB clusters Experience supporting OpenSearch / Elasticsearch platforms Hands-on experience with Apache NiFi and AWS EMR Good knowledge of AWS Cloud services Strong Linux system administration and scripting skills using Shell and/or Python Experience with Kerberos, PAM, data security, and access governance Experience supporting high-volume, low-latency systems, preferably in banking, payments, or trading environments Strong troubleshooting, incident management, and production support experience Good understanding of cluster performance tuning, scalability, and high availability Ability to work independently in a fast-paced production environment Strong communication, interpersonal, and stakeholder management skills AWS Cloud certification will be an added advantage Knowledge of JVM, ETL tools, virtual machines, RAID, and hardware configuration is advantageous Additional info: This role is offered on a 1-year renewable contract basis Candidates must be comfortable with rotational shift schedules (no overnight shifts) Support coverage includes Asia and EMEA regions Weekend and public holiday support may be required for critical incidents and escalations To apply, please visit and search for Job Reference:
W35RY94W To learn more about this opportunity, please contact Yingying at (HIDDEN TEXT) We regret that only shortlisted candidates will be notified. GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239