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Senior Data Specialist

Date: 22-Jan-2023

Location: Singapore, Singapore

Company: Singtel Group

We are looking for a Senior Data specialist to delivery and operate the most advanced big data lake for mobile and broadband network.  He/she will lead a team of operations specialists in ensuring proper flow of data pipes and uphold service level of the system.  He/she will be part of Singtel Digital Platforms Division, Network Analytics Engineering team to deploy and operate a big data lake, network probes and location services platform.  He/she will support data engineers and scientists to provide analytics insights on network performance as well as uncover new insights to improve network customer experience. .

This is a hands-on position; the candidate must be willing to “roll up the sleeves” and yet think strategically. You must be able to create solutions to difficult problems, drive strategic initiatives, have excellent project management skills, and be able to lead and train a team of domain experts on new tools and technology. The candidate will be the key contact point and provide hands-on technical guidance to the team and problem solving.


The candidate will also play a role of architect to design, deliver and support Kafka integrations between the data lake and various data systems.  This involves explore and align Data API and Kafka integration for data sharing with various data source owners.


Key responsibilities:

  • Maintain high level of Data pipelines and system availability (Data Integrity & Systems 95%+)
  • Achieve zero SL1 and cyber-security incidents
  • Resolve trouble tickets within the given SLA.
  • Achieve ISO22301 certification for business continuity
  • Use Ansible and scripting to automate system operations.
  • Ensure operational processes for the respective systems are well documented. This include system inventories, solution doc, IP/Network design, SOPs etc.
  • Update systems to the latest stable Software version. Keep the system updated with the Periodic patch updates (OS, software, Firmware, Switches, Firewall) – Half yearly/yearly.
  • Create proper MOP (Method of Procedures) for any configuration change activities and achieve full success rate for any planned / break-fix activities.
  • Conduct monthly operations review and quarterly Audits on time and Tickets resolution within SLA. Ensure all audit items are adequately addressed and close-off.
  • Ensure no gaps in security monitoring.  Perform bi-weekly Antimalware signature updates and monthly Scans. Address immediately the Security vulnerability patching needs.
  • Complete and report IOC scans and security patches to network Security Operation Centre. Support various security initiatives to achieve full audit compliance.
  • Drives use of automation for deployment and implement near real-time alerts for security or critical issues.
  • Deploy PIAM (Physical access and Identity management) for the user account administration to improve security and avoid manual password changes/management and control and keep track of the elevated privileged user accounts logins.
  • Manage and maintain a Centralise log server to store all logs and process to expeditiously support investigations into security incidents and application issue troubleshooting.
  • Manage Service Delivery for the deliverables from either in house development team or vendor.
  • Lead Incident Management and provide timely update to the Management and accountable for the RCA of the managed platforms.


We are committed to a safe and healthy environment for our employees & customers and will require all prospective employees to be fully vaccinated.


The Ideal candidate should possess:

  • Bachelor's degree in IT, Computer Science or equivalent.
  • At least 8 years of experience in the area of big data, data warehousing operations. Successfully implemented large-scale data warehouse / data lake. At least 3 years of experience in managing a delivery and operations team. 
  • Experience in Big Data technologies e.g. Hadoop and Spark Ecosystems. In-depth knowledge of Big Data Lake, network probes and telecom network data including mobile and broadband. Knowledge of data architecture such as on-premise enterprise data warehouse, data federation, hub & spoke architectures and cloud native architecture.
  • Strong technical skills in System hardening (Linux , Switches , Windows , Databases) standards based on CIS Framework initiated by Singtel and perform acceptance test to validate the hardening applied correctly and perform periodic security review using tools for  scanning to detect vulnerabilities and work to mitigate the risks.
  • Hands-on experience in handling incident, problem, configuration, capacity and availability management.
  • Experience with modern application development using technologies such as Kubernetes, Docker, serverless functions, APIs, Kafka, etc.
  • Knowledge of Python, Linux, Ansible automation. Preferably certified as Red Hat Architect.
  • Good knowledge in Analytics-related technical platform and Analytics tools EDW, Reporting, Architecture, Data Modelling, data mining and AI/ML.
  • Adequate understanding of Data protection, security and privacy aspect in Singapore.
  • Team building experience