Big Data Administrator
9000 - 14000 SGDTemporary
Adecco Personnel Pte Ltd
Summary of Position
He/She will be a technical L3 resource for all Big Data services and will provide support for all production support activities within the Big Data team in Singapore. He/She will work with L3/Service Manager to gain control over the scope of technical activities, develop best practices and gain knowledge overall aspects of support.
Responsibilities:
As a L3 resource of his /her team, he /she:
- Takes up technical tasks and also manages delegation for technical issues within the team, animates the team to encourage collaboration and sharing of best practices,
- supports new technologies and leverages them to provide consistency of service across streams,
- proposes service improvements for all Big Data services supported throughout the organization,
- documents, reviews, maintains and shares relevant technical information within the team
- provides technical knowledge, supports services both proactively and reactively to maintain the availability and reliability of system infrastructure in accordance to the SLA,
- Actively engages during any high severity issue and drives for issue resolution
- reviews technology changes to identify potential risks,
As an experienced professional in Big Data Services, he/she:
- supports his/her team during diagnosis when technical issues rise in his/her scope of expertise,
- is aware of the global IT structure so that he/she anticipates interrelationships within the organization,
- engages with technical peer, Development team, Service managers, Architect and project teams on technology roadmap and projects,
- facilitates transformation projects and suggest future directions for new areas of improvement and change,
- guarantees the production readiness and license to operate of new projects and solutions
- is available and able to drive technically, any complex or high severity incidents that occur within the scope of their role.
Candidate profile
Mandatory track record
- Excellent working knowledge of Hadoop ecosystem (Hadoop, Hive, Pig, Oozie, Hbase, Flume, sqoop) using both automated tool sets as well as manual processes.
- Support and maintain Hadoop (HDP) clusters for batch processing, analytics, and regulatory reporting.
- Perform Hadoop cluster lifecycle management: provisioning, scaling, patching, and decommissioning nodes.
- Ensure 24x7 availability and resilience of production systems supporting payment flows.
- Manage and optimize Apache Kafka for high-throughput, real-time payment event streaming.
- Ensure data consistency and fault tolerance across streaming pipelines.
- Support Apache NiFi for ingestion pipelines from upstream payment systems and external partners.
- Work with AWS EMR for scalable processing of transaction data and reconciliation workloads.
- Administer HDFS , ensuring optimal replication, storage utilization, and fault tolerance.
- Monitor and tune MapReduce and YARN workloads to handle large-scale transaction data efficiently.
- Ensure proper configuration and validation of jobs handling payment clearing, settlement, and reporting.
- Manage OpenSearch / Elasticsearch clusters for transaction search, audit trails, and operational dashboards.
- Excellent working knowledge of Elastic Kibana and making pipelines to capture and search relevant data.
- Optimize indexing and query performance for near real-time analytics and monitoring.
- Implement Kerberos-based authentication and secure access controls across the Hadoop ecosystem.
- Manage user provisioning (Linux + Hadoop stack) ensuring least-privilege access.
- Ensure compliance with banking regulations, audit requirements, and data governance policies.
- Monitor cluster security, encryption, and network connectivity.
- Conduct capacity planning aligned with transaction growth and peak payment volumes.
- Optimize systems for low latency and high throughput, critical for digital payments.
- Identify bottlenecks and implement performance tuning strategies across platforms.
- Ensure high availability through failover mechanisms, DR strategies, and proactive monitoring.
- Develop and maintain runbooks, SOPs, and architecture documentation.
- Define and enforce best practices for cluster operations, deployments, and data pipelines.
- Contribute to continuous improvement initiatives and knowledge sharing.
Required Skills & Experience
• 8+ years of experience in Big Data / Data Platform Engineering in enterprise environments.
• Strong hands-on experience with :
• Hadoop ecosystem (HDFS, YARN, SPARK, MapReduce, HBase etc)
• Apache Kafka (high-throughput environments)
• OpenSearch/ Elasticsearch
• Apache NiFi
• AWS EMR +good knowledge of AWS Cloud.
• Strong expertise in Linux system administration and scripting (Shell/Python)
• Experience with Kerberos, data security, and access governance
• Proven experience in handling high-volume, low-latency systems (preferably payments/trading)
Work Schedule
- Work schedule is mainly focused to support Asia and EMEA (Paris) time zone; however, may have to support during non-office hours/weekends/public holidays for critical incidents or escalation as per the assigned on-call support requirements.
If interested, you can click on “Apply here” or write an e-mail to View email address on mycareersfuture.gov.sg with your updated resume.
NOTE: - Only shortlisted candidates will be contacted back.
Thanks & Regards
Deeksha Agarwal
EA Licence No.91C2918
Personnel Registration No. R26161520
Vacancy posted 2 days ago
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