Total 3 Senior Executive data entry job vacancies in Engineering category

Contributes to the development of new analytics tool, software, and approaches, including the design, development, troubleshooting and debugging.

  *   Ongoing maintenance, update and support of the existing programming and analytic tools

  *   Develop, implement and maintain server and database infrastructure, hardware and software to ensure maximum tool uptime and performance.

  *   Execute end-to-end data processing workflows, ensuring data is accurately ingested, cleaned and structured across corporate systems.

  *   Manage and monitor data flows between current and future infrastructure components to maintain data integrity and consistency.

  *   Analyze processed data to uncover trends, patterns and operational performance metrics using statistical techniques.

  *   Exercises significant independent judgment to determine best method for accomplishing work and achieving objectives

  *   Leads and /or provides expertise to functional project teams and may participate in cross-functional initiatives.

The requirements:

  *   5 years of hands-on experience in data engineering and analytics

  *   Strong skills in statistical tools and programming languages such as Python, R, etc.

  *   Experience with data analysis / visualization tools and software like Power BI, Looker, Databricks etc.

  *   Proficiency in SQL for data extraction and manipulation.

  *   Attention to detail and a commitment to data accuracy.

  *   Proactive approach to identifying issues and providing solutions.

  *   Strong analytical and problem-solving skills. Ability to analyze complex datasets and translate data into actionable insights.

  *   Ability to present complex information in an understandable and compelling manner.

  *   Excellent written and verbal communication skills

  *   Ability to work independently and collaboratively as part of team

The Data Center (DC) Operations Engineer designs, administers, and supports enterprise workload automation platforms, batch processing environments such as SAP and file transfers, as well as enterprise monitoring, backup, and recovery operations.

The role ensures the secure, reliable, and compliant execution of business-critical batch workloads, supporting IT Operations and application teams in a 24x7 production environment.

What You’ll Do:

Operations and Production Support

• Oversee daily batch operations to meet SLAs and maintain efficiency
• Configure, schedule, and maintain batch jobs and workflows in AWA and SAP
• Support production batch runs, ad hoc jobs, manual catch-up and recovery activities
• Work with application teams on job onboarding, testing, validation and deployment
• Investigate batch failures, perform root cause analysis, and implement preventive actions
• Support Data Center Operations in controlled batch execution and escalation management
• Support in manual deployment of approved changes and transport to production
• Maintain documentation, SOPs, and runbooks in line with operational and audit requirements
• Support High Availability (HA), Disaster Recovery (DR), and Business Continuity (BCP) readiness, including planning and execution of exercises
• Ensure compliance with audit, regulatory, IT security, and access governance requirements
• Perform periodic access reviews, configuration checks, and audit validations
• Support enterprise monitoring, backup, and restoration operations

Batch/Workload Automation Engineering & Administration

• Design, build, and maintain AWA components
• Implement modular, reusable, and standards-compliant workflows aligned with enterprise best practices
• Perform code promotion and transport management across DEV/UAT/PROD
• Monitor AWA platform health, performance, and job throughput
• Provide technical advisory to projects and/or users on batch automation design patterns and governance standards
• Administer the AWA platform, including components, agents, and user access

Required Skills & Competencies

Technical Skills

• Strong hands-on experience in Automic Workload Automation (AWA)

Working knowledge of:

• SAP batch scheduling
• OS platforms: Unix/Linux and/or Windows
• Scripting (Shell, PowerShell, or equivalent)
• Backup and Restoration tool (e.g., Veritas NetBackup)

Solid understanding of:

• Batch processing concepts (dependencies, triggers, calendars, SLA management)
• File transfer workflows (e.g., MFT, FTP/SFTP)

Experience with:

• Production support and incident management tools
• Monitoring and alerting systems (e.g., DX UIM, DataDog or Splunk)

Operations & Governance

• Experience in ITIL-based operations (Incident, Problem, Change management)

Familiarity with:

• Audit, compliance, and regulatory environments
• Access control and privileged account governance
• Knowledge of: HA/DR architectures and BCP execution

What You’ll Need:

• Bachelor’s degree in IT, Computer Science, or related field (or equivalent experience)
• 3+ years’ experience in enterprise workload automation / batch operations
• Proven experience supporting large-scale, mission-critical batch environments
• Exposure to regulated industries (e.g., utilities, banking, energy) preferred
• Experience with Continuous Delivery Automation (CDA) pipelines is an advantage
• Willingness to support 24x7 operations and on-call rotation

Thank you for your interest in SP Group.

We regret to inform that only shortlisted candidates will be notified.

Job Duties and Responsibilities:

• Lead the design and implementation of AI-driven solutions to support AI storage, data security, and AI computing platforms.
• Design and optimise scalable data and AI platforms, including distributed storage systems, secure data environments, and high-performance computing infrastructure.
• Develop and enhance machine learning models and analytical methodologies to support business use cases.
• Establish and manage end-to-end data workflows, including data extraction, integration, transformation, and validation across multiple sources.
• Evaluate, validate, and optimise AI/ML model performance to ensure reliability, scalability, and production readiness.
• Collaborate with cross-functional teams to translate business requirements into robust AI and data solutions.
• Ensure data security, governance, and compliance across AI systems and data platforms.
• Optimise system performance across storage, compute, and model deployment layers.
• Gain insights into the development trends of AI, data infrastructure, and security technologies, and plan product evolution directions.
• To collaborate and communicate directly with Chinese speaking officers, stakeholders, counterparts, and customers in China HQ team

Requirements:

• Master degree in Computer Science, Data Science, Software Engineering, or a related field.
• At least 8–10 years of experience in IT, with relevant experience in AI, data platforms, or data storage.
• At least 2 years of experience in high-availability, mission-critical transaction systems. Experience in financial services environments is required due to the nature of the business.
• A deep understanding of the training process of AI foundation models and the collaboration architecture between GPU clusters and storage systems is required.
• Familiarity with distributed or high-performance storage systems (e.g. Ceph, Lustre, or similar solutions).
• A minimum of 3 years of experience in team leadership in a technical environment is required, along with strong teamwork and communication skills.
• Strong analytical and problem-solving skills.
• Experience in large-scale technology or platform-based environments is an added advantage.
• Proficiency in Mandarin is essential to ensure effective communication with the Chinese-speaking stakeholders, including head office, business counterparts, and customers based in China.

Interested candidate please click "APPLY" to begin your job search journey.

We regret to inform that only shortlisted candidates will be notified.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOL Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolsingapore.com/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy. 

PERSOL Singapore Pte Ltd

•RCB No. 200007268E • EA License No. 01C4394

•Registration ID: Heah Sian Wei R23117518