Education/Experience

• Diploma/Degree in Computer Engineering, Computer Science, Information Technology, or related technical field.
• At least 2 years of relevant experience preferred.

Job Description

• Install, configure, and manage Cloudera CDP 7.x clusters.
• Ensure cluster security, governance, and high availability.
• Monitor and maintain cluster performance and health.
• Handle daily operations, backup, recovery, and technical user support.
• Develop and update documentation for Hadoop configurations and processes.

Skill Sets

• Knowledge of Cloudera CDP runtime components.
• Proficiency in Linux administration and shell scripting.
• Familiarity with Kerberos, LDAP, and database administration (MySQL/PostgreSQL).
• Advantageous skills:Cloudera Data Services.
  Python environment and package management.
  Docker/Kubernetes.
  
• Strong problem-solving and troubleshooting skills.
• Ability to work both independently and collaboratively.

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

Responsibilities

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Requirements

• At least 8+ years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Deep Learning, Machine Learning, and Statistical Analysis
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

Interested applicants, please Email , and look for [email protected]

John (Joax) Wong

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R23117179

We regret that only shortlisted candidates will be contacted.

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven data engineers to join us.

Location: Central

Roles and Responsibilities:

• Design and develop scalable data pipelines using Databricks, ensuring data integrity and availability.
• Collaborate with stakeholders to understand their data needs and provide solutions.
• Assist users in utilizing Databricks effectively, providing training and support to enhance their data processing and analysis capabilities.
• Monitor and optimize data workflows and queries for performance improvements.
• Implement best practices for data governance, security, and compliance within Databricks environments.
• Document data architecture, pipelines, and processes for knowledge sharing and future reference.
• Troubleshoot and resolve issues related to data processing and Databricks functionalities.

Skills Required:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer with a strong focus on Databricks.
• Proficiency in Python/Pyspark and data modeling techniques.
• Experience with ETL tools and data integration processes.
• Excellent communication skills with the ability to explain complex concepts to non-technical users.
• Experience in providing user support and training is highly desirable.

• Support the division in implementing Digital Transformation projects to enhance service quality and reduce costs.
• Analyze and assess operational needs and user requirements across various Business Units and departments.
• Collaborate with stakeholders to define data needs and gather relevant information.
• Oversee project planning, ensure appropriate IT solution implementation, and align solutions with operational goals.
• Conduct statistical analysis, data mining, and pattern recognition to identify trends, correlations, and actionable insights, accompanied by clear visual presentations.
• Lead project development initiatives to boost operational productivity and efficiency through the adoption of digital transformation tools.
• Coordinate and manage projects with the team, ensuring timely delivery and alignment with company strategies.
• Provide well-organized data for advanced analysis and perform additional tasks as assigned.

Requirements:

• Bachelor's degree in Information Technology, Computer Science, or a related discipline.
• Proven experience in IT, development, or related fields.
• Strong knowledge of digital transformation and automation tools, including Microsoft Power Platform, SharePoint, Power BI, MS SQL, Knime, Python, and cloud platforms.
• Excellent communication and interpersonal skills; meticulous, well-organized, and a resourceful team player.
• Highly self-motivated individual who can work independently with minimal supervision.

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Requirements:

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in Designing and developing applications using Python and Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Advantageous experience includes:

1. Working in the financial or banking industry.
2. Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Interested applicants may send in their detailed resumes in MS Word to [email protected] with email subject: 120-Data Engineer

Best Regards

IT Consultancy & Services Pte Ltd

EA No: 92C5311 | EA Reg No. R1106648 | www.itcspl.com

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

Key Highlights

• Great exposure to the government sector
• Nearest MRT: Labrador Park
• Working Hours: Mon- Fri (office hours)
• Salary:  Up to $3,450 per month
• Contract Duration: 11 months

Key Responsibilities

Data Analytics

• Process raw data using basic Excel formulas and pivot tables.
• Organize and present data visually for analysis.

Tableau Dashboard Management

• Update and refresh existing Tableau dashboards.

Data Projects Support

• Prepare survey forms and consolidate survey data from various sources.
• Clean and organize data for analysis.

Program Operations Support

• Coordinate with stakeholders to ensure timely updates.
• Maintain CRM accuracy and compile data for documentation.
• Organize distribution of materials and logistics for community hubs across Singapore.

Key Requirements

• Only Singaporean!
• Bachelor's degree in Data Analytics, Business Administration, Information Technology, or a related field
• Strong knowledge of basic and intermediate Excel functions (e.g., formulas, pivot tables) to handle data.
• Familiarity with Tableau dashboard development, updating features, and performing data refreshes.
• 1 year of experience in data analytics, program coordination, or a related field is preferred.

Interested candidates please click "Apply Now". We regret to inform you that only shortlisted candidates will be contacted for further discussion.

Venice Kang
Outsourcing Team

BGC Group Pte Ltd

Registration No.: R23117645
EA License Number: 05C3053

WHO WE ARE:

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

YOUR ROLE:

The Senior Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other PALO IT experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

YOUR RESPONSIBILITIES:

• Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.
• Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.
• Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.
• Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.
• Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.
• Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.
• Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.
• Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.
• Support the definition and optimization of underlying data infrastructure

WHO YOU ARE:

• You hold a Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.
• Good knowledge of the big data technology landscape and concepts related to distributed storage/computing
• Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
• Experience with batch & ETL jobs to ingest and process data from multiple data sources
• Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
• Experience with querying tools (e.g Hive, Spark SQL, Impala)
• Experience with Power BI
• Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming
• Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)
• High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)
• You are passionate about technology and continuous learning comes naturally to you

We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa.

MORE ABOUT PALO IT:

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company
• Attain 50% of revenue from projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification among all our offices across the globe
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training

For more on our team culture and benefits, check out our careers page.

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.

Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

INFORMATION:

As a Data Center Segment expert, the Sales Engineer is responsible for leading, developing sales strategies and plans as well as generate new business opportunities to the company.

The position does this by locating, developing, defining, negotiating, and closing business relationships with potential and existing key accounts, end customers, consultants, and system integrators.

The position maintains extensive knowledge of current market conditions, competitive positions, and solutions/services that PS can provide to develop the pipeline of business coming into the company.

This position has the ultimate objective to aggressively achieve profitable growth through monitoring of Data Center project pipelines and assisting to convert these into actual orders.

RESPONSIBILITIES

Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.

Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.

Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.

Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.

Establish budgetary forecasts and sales volume targets for the SEA DC market.

Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.

Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.

Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.

Analyze sales and marketdata to provide relevant information to senior management for decision making.

Plays an active role in promoting PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.

Be the expert in Data Center power products and solutions, industry standards and overall on-site power system design and integration.

TRAVEL

This position requires travel up to 50%.

REQUIREMENTS

Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.

Solid proven direct and channel sales track record. Able to present and negotiate with senior executives and decision makers both internally and externally.

Results driven, strong will to compete and win in a business environment.

A good team player and enjoys interacting with people of all levels.

Able to travel frequently and work independently.

CRITICAL TECHNICAL, PROFESSIONAL AND PERSONAL CAPABILITIES / SKILLS

Experience in Data Center segment is critical to the growth of PS business. Strong technical knowledge of power generation products and solutions. Has good knowledge of industry standards and requirements.

Strong people and communication skills that engages and motivate others. Able to stimulate new thinking and remain customer focused.

Strong drive to succeed; motivated, energized and demonstrates high level of enthusiasm.

Excellent team player. Able to lead or participate in cross-functional teams to achieve goals and objectives. Objective, open-minded and receptive to feedback.

WORKING HOURS / LOCATION

5-day work week

8.30am to 5.15pm

Located in Jurong

OTHER BENEFITS

Annual leave - 15 days up to 21 days

Medical, dental, optical and annual health screening benefits

Company transport provided at Boon Lay MRT station

Other allowances applicable

Interested applicants, please attach your resume with your current salary. expected salary, reasons for leaving and notice period upon application.

Gladwin Teo Jian Rong

EA No. 23C1599

EA Personnel no. R1768774

The Data Center Engineer will focus on the installation, maintenance, and management of data center hardware and infrastructure. This role is responsible for monitoring hardware performance, maintaining an accurate inventory of data center equipment, and coordinating with vendors for procurement, repairs, and warranty services. The technician will ensure that all hardware operations support uptime requirements and efficiency across the data center.

• Hardware Installation & Maintenance: Install, configure, and decommission servers, storage devices, network equipment, and other hardware as required. Conduct regular maintenance, diagnostics, and troubleshooting of hardware systems to ensure optimal performance and reliability. Coordinate and perform hardware upgrades or replacements to maintain up-to-date infrastructure.
• Vendor Coordination & Management:Engage with vendors to source, order, and manage hardware procurement, ensuring timely delivery and installation. Handle vendor communications for equipment maintenance, repairs, and warranty claims. Review and evaluate vendor performance, track service agreements, and escalate issues as needed.
• Data Center Operations Support:Perform regular walk-throughs and visual inspections to ensure hardware and environment meet operational standards. Monitor power and cooling systems, coordinate with facility teams for any required adjustments to environmental conditions. Ensure data center hardware setups align with SLAs and availability targets, reducing downtime risks.
• Documentation & Reporting:Keep thorough records of installations, repairs, configurations, and hardware movements within the data center. Develop and maintain SOPs for hardware management, vendor coordination, and inventory procedures. Generate and present regular reports on inventory levels, vendor issues, and hardware performance metrics.
• Security & Compliance:Ensure compliance with security protocols and data center access policies, managing hardware-related security aspects. Support periodic audits for physical security and inventory management to align with company standards and regulations.

Qualifications:

• Education: Associate’s or Bachelor’s degree in Information Technology, Computer Science, or related field (preferred but not required)
• Experience: 1-3 years of experience in data center hardware management, IT infrastructure, or a similar role.
• Certifications: CompTIA A+, Server+, or other relevant certifications (preferred).

Skills:

• Hardware Expertise: Strong understanding of servers, storage devices, networking hardware, and related data center infrastructure.
• Inventory Management: Experience in tracking and managing inventory levels, procurement processes, and forecasting needs.
• Vendor Relations: Ability to effectively manage vendor relationships and coordinate hardware delivery, maintenance, and warranty services.

As a Facility Manager, you will maintain, operate, and troubleshoot, with the assistance of the site engineering operations team, the mission-critical data center facility equipment including electrical support equipment such as stand-by diesel generators and related fuel systems, 3 phase electrical systems that include but not limited to switchgear, UPS units, PDUs, and wet cell batteries and associated systems. Mechanical equipment includes CRAC units, centrifugal chillers, cooling towers/water chemical system, air handlers and associated systems, pumps, and motors. We have a passion for learning and evolving, it’s how we have helped define ourselves as leaders in the industry.

Key job responsibilities
• Oversee all aspects of the data center’s critical physical infrastructure. Maintain high availability and performance while ensuring that all work performed within the site is done to high quality without impact to internal/external customers and maintain service level agreements.

• Lead and manage budgeting and procurement for Data Center’s related goods and services.
• Manage teams of 24x7 engineering team in all facets of their career. Prioritize and assign tasks to data center technicians and operators, manage projects, coach and create documentation. Guide, train and educate staff on best practices related to all service owner issues.
• Effectively and efficiently manage the operations budget and expenditures.
• Engage in improvement projects, often requiring reaching out to a variety of support teams, and drive them from conception to completion.
• Coordinates daily with a multitude of third party vendors ensuring adherence to contracted SLAs.
• Communicate complex technical information to a non-technical audience.
• Respond to out-of-hours emergency calls.
• Is the second level escalation points for Data Center facilities related issues/failures.
• Act as an escalation point for all facilities-related issues. Oversee operation and management of routine and emergency services on a variety of critical systems such as: switchgear, generators, UPS systems, power distribution equipment, chillers, cooling towers, computer room air handlers, building monitoring systems, etc.
• Ensure all safety procedures are adhered to while performing work.
• Manage emergency situations and lead emergency response team.
• Test quality, performance, safety, and reliability of products, equipment and processes.
• Perform extended site rounds that could include long distances of walking and long periods of time being away from a desk.
• Role may support more than one location/site.
• Manage talent acquisition process and people development for DCEO organization.

ViSenze, an AI-powered Commerce Search and Discovery platform, is looking to hire a motivated and experienced Senior Data Scientist

We revolutionize the retail industry with product discovery solutions, processing over a billion monthly queries globally from retailers such as Myntra, Ajio, Meesho, Rakuten, Zalora, Mango, and Target

Our mission is to empower customers to 'See. Style. Shop', and we need you to help us continue to deliver this promise

Responsibilities

• Understand complex real-world problems and leverage domain knowledge to develop reliable models
• Strategize ways of constructing training datasets that are representative, diverse and free of bias
• Continuously review model performance with sharp analytical skills, identify potential issues and improve them iteratively
• Optimize workflows and processes, as well as develop useful tools to boost the efficiency and scalability of routine tasks
• Provide requirements for new or existing internal tools to improve internal analytical capabilities, pipelines and platforms
• Be an expert in communicating insights and recommendations to audiences of varying levels of technical sophistication

Requirements

• Bachelor’s degree in Computer Science, Electronic Engineering, Statistics, Applied Mathematics, Operation Research, or a related quantitative Bachelor’s or Master’s degree
• At least 2 years of experience with building machine learning and predictive model
• Familiar with Python is a must
• Familiar with essential data science libraries, including Pandas, Numpy, Scipy, Scikit-Learn and Matplotlib
• Sound knowledge of popular deep learning frameworks, such as PyTorch, TensorFlow, MXNet, Caffe, etc
• Strong problem-solving mindset, down-to-earth attitude, passion for machine learning and everlasting curiosity to learn

Good to Have

• Excellent communication skills - able to present their findings and models to senior stakeholders
• Experience in deploying models and systems into production environments
• Knowledge of golang
• Experience with developing Deep Convolutional Neural Networks (CNN)
• Familiar with Software Development Life Cycle (SDLC)
• Fluent in Data Visualization

- Achieve growth and hit sales targets by accounts.

- Identifying and converting new potential accounts for the business.

- Identifying further opportunities for existing clients and proposing new menus working with in-house R&D team closely.

- Communication with clients.

- Managing and preparing sales support materials and samples (when necessary).

- Present sales, revenue and expenses reports and realistic forecasts to the management team.

- Reports directly to Head sales.

- Responsible for inventory management working with production team.

Job Requirements:

1. Friendly and enjoys meeting people.

2. Preferably with experience in F&B sector.

3. Must be able to work on weekends and public holidays.

4. Staff Meal will be provided

Roles and Responsibilities

• Be part of the development core for the Digital Transformation Development team
• Produce initial development ideas, perform PoC and deploy the product in GCP under Agile framework
• Maintain and propose new ideas to enhance team practice in product development, including GitHub/Jira/Confluence usage
• Assist in creating data mart from ONE data warehouse in GCP environment whenever necessary
• Set up ETL job and maintain data accuracy with good knowledge of data structure/data latency whenever necessary
• Nurture and provide guidance to junior staff members in the team, building up a solid support force for data science-related product development
• Keep track of latest development of projects and provide timely reporting to the management and comprehensive review/planning on a regular basis

Requirements

• Bachelor or above in Data Science, Analytics, Mathematics
• Minimum 4 years' experience in SaaS product development preferred; shipping knowledge would be advantageous
• Excellent communication skills, with the ability to present complex analysis to a non-technical audience
• Proficiency in Python/SQL, as well as Cloud platforms (GCP preferred)/ Google Suite (Apps Script is a plus)/ GitHub/Jira/Scrum framework
• Good knowledge of data engineering that covers data governance, database architectures and data pipelines
• Good knowledge of mathematics/statistics/computer science/machine learning
• Strong problem solving and risk analysis skills to analyse ONE internal system data, as well as the forecast system background data
• Ability to review complex information, perform comparative analysis, and make recommendations based on findings
• Ability to perform BI analytics to present insightful messages with follow-up actions
• Highly self-motivated and able to work independently
• Experience in MLDevOps on Cloud is a plus

Interested applicants, please Email , and look for

Jensen Fang Lifa, [email protected]

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R2197080

We regret that only shortlisted candidates will be contacted.

Job Description:

• Produce initial development ideas, perform PoC and deploy the product in GCP under Agile framework
• Maintain and propose new ideas to enhance team practice in product development, including GitHub/Jira/Confluence usage
• Assist in creating data mart from data warehouse in GCP environment whenever necessary
• Set up ETL job and maintain data accuracy with good knowledge of company's data structure/data latency whenever necessary
• Nurture and provide guidance to junior staff members in the team, building up a solid support force for data science-related product development
• Keep track of latest development of projects and provide timely reporting to the management and comprehensive review/planning on a regular basis

Requirements

• Bachelor or above in Data Science, Analytics, Mathematics
• Minimum 4 years' experience in SaaS product development preferred; shipping knowledge would be advantageous
• Excellent communication skills, with the ability to present complex analysis to a non-technical audience
• Proficiency in Python/SQL, as well as Cloud platforms (GCP preferred)/ Google Suite (Apps Script is a plus)/ GitHub/Jira/Scrum framework
• Good knowledge of data engineering that covers data governance, database architectures and data pipelines
• Good knowledge of mathematics/statistics/computer science/machine learning
• Strong problem solving and risk analysis skills to analyse company's internal system data, as well as the forecast system background data
• Ability to review complex information, perform comparative analysis, and make recommendations based on findings
• Ability to perform BI analytics to present insightful messages with follow-up actions
• Highly self-motivated and able to work independently
• Experience in MLDevOps on Cloud is a plus

Interested applicants please send your resume to [email protected]

Venessa Goh Wee Ni
R24124686
Recruit Express Pte Ltd
EA License No: 99C4599
RCB No.: 199601303W

We regret that only shortlisted candidates will be contacted.

Key Responsibilities:

1. Oversee daily on-site security operations to ensure a safe and secure environment.

2. Manage and coordinate with external security service providers to maintain high service standards.

3. Collaborate with the Security Operations Center (SOC) to meet local security operation and maintenance goals.

Qualifications and Skills:

1. Diploma in Security Management, Risk Management, or a related field.
2. Strong security awareness with a proactive approach to risk management.

3. Excellent communication skills, with experience in managing vendor relationships.

4. Proven experience in project management, with the ability to oversee security-related initiatives.

Job Descriptions (OnSite)

• Ensure all plant & equipment on site are well maintained as per the individual maintenance schedules
• Plan, supervise, and coordinate mechanical work activities to ensure smooth execution. Manage and lead a team of mechanical fitters, technicians, and subcontractors to meet project objectives.Attend to repairs or breakdowns promptly and resolve in a safe manner to ensure downtime and delays to the project are minimized
• Oversee the installation, alignment, and maintenance of mechanical equipment, including pumps, valves, compressors, and piping systems.
• Review and verify technical drawings, specifications, and blueprints to ensure accuracy during execution.
• Inspect completed work to ensure compliance with industry standards, project specifications, and client requirements.
• Address and resolve any quality-related issues promptly
• Prepare and submit daily progress reports, manpower records, and inspection checklists.
• Communicate effectively with project managers, clients, and stakeholders to provide updates and resolve concerns.
• Liaise with the electricians to resolve issues jointly
• Co-ordinate and plan for the correct tools to be available required for the task
• Any ad-hoc duties assigned by the department manager

Skills:

• Strong knowledge of mechanical systems, equipment, and tools.
• Proficiency in interpreting technical drawings, schematics, and manuals.
• Excellent leadership, communication, and organizational skills.
• Ability to troubleshoot and resolve complex mechanical issues efficiently.
• Familiarity with industry codes and standards, such as ASME, API, and ISO.

Job Requirement

• Bachelor Degree in Mechanical Engineering or related certifications
• Mechanical Trade certificates or short courses
• Total Relevant Work Experience: 7-8 Years
• Mechanical understanding relating to infrastrcuture
• Good understanding in reading and interpreting shop drawings
• Can do attitute and able to organise the contractors

Zenith Infotech (S) , a Tech Recruitment firm with 27 years of presence in Singapore, is assiting one of our clients to lookout for Data Engineer, proficient in main skill set of Talend.

Job Scope :

· Using the Talend ETL toolset, to create new and maintain existing ETL jobs.

· Design and implement ETL for extracting and transforming data from diverse sources, such as: Cloudera, PostgreSQL, and SQL Server databases.

· Design and develop database tables necessary along with the necessary constraints as per the requirement.

· Collaborate with Team members to understand source system structures and data retrieval methods/techniques, and tools within the organization.

· Support the development of data transformation logic using ETL tools or scripting languages like SQL, Python, etc.

· Clean, validate, and transform data to conform to target schema and quality standards.

· Work with the Team to execute data quality improvement plans.

· Participate in troubleshooting activities to maintain data integrity and process efficiency.

Requirements:

• Experience with Talend, Python and Spark

• Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, HDFS).

• Understanding of data-warehousing and data-modeling techniques

• Knowledge of industry-wide visualization and analytics tools

• Good interpersonal skills and positive attitude qualifications

• Degree in computer science, mathematics, or engineering

You will join our team as an Actuarial Data Analyst, where you’ll become part of Munich Re’s Life and Health Southeast Asia Unit in Singapore, supporting the SEA Life Commercial team.

You will utilize your actuarial knowledge and data analytics skills to transform, process and analyze client bordereaux data. A key focus of the role will be driving the Treaty Monitoring Project (KTM), which aims to refine the tracking of treaty performance. Your efforts will result in comprehensive reports and actionable insights that inform organizational strategies.

Additionally, you will contribute to ad-hoc analyses and collaborate on projects that enhance processes, ensuring the delivery of high-quality, data-driven solutions.

Your job:

• Collaborate with actuarial and accounting teams to analyse and interpret treaty terms and product features.
• Lead the onboarding of treaties and the development of the KTM project by automating data-driven processes, designing algorithms for data cleaning, and preparing comprehensive documentation to improve efficiency and accuracy.
• Develop and maintain dashboards using tools such as VBA, SQL, Python, and Power BI to visualize, monitor, and analyse client data, providing relevant insights to support business decision-making.
• Partner with clients and internal teams to identify and resolve data issues, ensuring documentation and maintaining high data quality standards.
• Conduct ad-hoc investigations, including premium reconciliations, generating management reports, and preparing datasets for experience analyses.
• Support the team with miscellaneous tasks, demonstrating adaptability and a proactive problem-solving mindset.

Your profile:

• Bachelor's degree in Actuarial Science or Business Analytics, with a strong foundation in data transformation and data analysis.
• Experience in actuarial-related roles and Life Insurance principles and products is preferred; fresh graduates are welcome to apply
• Proficient in Excel, SQL, and data analysis automation, demonstrating strong analytical and problem-solving skills.
• Skilled in data visualization tools, particularly Power BI, for creating compelling reports.
• Detail-oriented with a proactive approach, committed to continuous learning, and possessing a positive willing-to-learn attitude.

Our Benefits:

• Flexible and hybrid working arrangements
• Generous annual leave allowance
• Competitive dental, life and health insurance coverage

At Munich Re, we embrace, and value, the interaction of diverse backgrounds, experiences, perspectives and thought. This interaction is our foundation. Of our open culture and spirit of partnership. Of how our teams are built and cultivated. Of how we are supported and developed. And at the center of this interaction is each of us.

Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Data Analyst (PowerBI)position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises of over 40 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team!

Job Responsibilities:

· Respond to user requests to modify our existing PowerBI resources (~10 workspaces, ~30 semantic models, ~100 dashboards); create new PowerBI resources when necessary

· Respond to other user requests outside of PowerBI by using SQL queries to directly interact with our data warehouse

· Regularly audit data quality and security on both our PowerBI and data warehouse environments (Azure stack)

· Understand recurrent business requirements, able to help data engineers refine data mart designs based on real user expectations; make suggestions to the data team as a whole about how to service the organization better

· Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation by ensuring that business requests, and any resulting data products, are well documented.

Requirements:

· 3+ years SQL experience

· 2+ years PowerBI experience

· Bachelor's or Master's degree in any field

· Professional fluency in both written and spoken English

· Proficiency in Mandarin is an added advantage to effectively liaise with Chinese-speaking counterparts.

Desirable Qualities:

· Previous work experience related to with B2B ERP/TMS systems

· Previous work experience related to container shipping, freight forwarding, or maritime logistics

Key Responsibilities:

• Collaborate with business stakeholders to gather, understand, and translate data requirements into actionable solutions.
• Implement scalable and reusable data processes to meet evolving business needs.
• Work closely with engineering teams and external data vendors to troubleshoot and resolve technical data-related issues.
• Provide timely support to end users, addressing data queries and issues.
• Develop and maintain comprehensive documentation for data management activities, including operating models, processes, and test results.
• Monitor the effectiveness of data initiatives and recommend continuous improvements.
• Stay updated on the latest industry trends and best practices in data management.

Mandatory Skills:

• A degree in Computer Science, Information Technology, or related fields.
• Proven experience in data management areas such as metadata, data quality, and data discovery.
• Strong understanding of financial data and data management best practices.
• Demonstrated knowledge of data security and technical challenges faced by large organizations.
• Extensive hands-on experience with SQL and relational databases such as Snowflake, Microsoft SQL Server, and Oracle.
• Familiarity with data management trends and practices in the financial industry.
• Excellent analytical, communication, problem-solving, and documentation skills.
• Ability to work both independently and collaboratively as part of a team.

Preferred Skills:

• Experience with Python programming.
• Certification in data management or data quality (e.g., DAMA, CDMP).

EA License: R1873481

Company EA License: 11C4879

• Design, develop, and implement methods, processes, and systems to consolidate and analyze unstructured, diverse data sources, providing actionable insights and solutions for management.
• Develop and code software programs, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from various sources.
• Collaborate with business experts to enrich data and uncover meaningful insights for building actionable solutions.
• Automate repetitive data tasks to streamline processes and reduce manual intervention.
• Create data visualizations to effectively communicate findings and recommendations to stakeholders.
• Stay updated on industry trends and advancements in data science, machine learning, and artificial intelligence.
• Support the Global IFF Business Control team with task and project handling requirements.
• Provide assistance with administrative matters and handle ad-hoc tasks assigned by the Head of Department as needed.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

Job Description:

As the Expert of his/her scope of activity, he/she:

• is actively involved in incident management (fault investigation, resolution escalations of all monitoring alerts and user initiated problem calls/tickets) and request management
• Is the final technical approver for any changes into Data Security systems and is accountable for any technical changes in the environment from a RUN/BAU perspective
• Is involved in projects like End of Life, New Builds, migrations and technical upgrades of the solution managed by the team
• Participates in global Infra events (like Power down and DR Tests)
• ensures activity is performed in compliance with norms, standards, processes and procedures
• gathering required evidence using multiple forensic tools to investigate any data leak incident, conducting interrogation if required, case closure and reporting
• ensures documentation is up to date and relevant for use
• lead the continuous improvement initiatives
• responsible to drive and deliver root cause for any high severity issues
• Focus on automation and optimum use of the team to improve efficiency
• Maintain appropriate knowledge to ensure to be fully qualified to undertake the role.
• Complete all mandatory training as required to attain and maintain competence

Qualifications:

• Hands-on experience on Symantec Data Loss Prevention (DLP);
• Highly proficient overall security solutions like, Endpoint Protection, Email Security and Vulnerability Management;
• Deployment, integration and administration experience of various components of Symantec DLP:

- Symantec Endpoint Protect

- Symantec Web Prevent

- Symantec Email Prevent

- Symantec Enforce

• Good to have experience in defining, designing and configuring DLP Policies as per the business requirements;
• Deploy, upgrade and troubleshooting knowledge on Symantec DLP solution;
• Deploy, Upgrade and troubleshoot on DAM Solutions like IMPERVA or Guardium
• Expertise knowledge in Email Security Solutions
• Hands-on to Expertise knowledge in MS Defender for endpoint and or Cloud.
• Scripting knowledge (Phyton, Regular Expression, Powershell) is desirable;

Next Step

• Prepare your updated resume and expected package.
• Simply click on 'Apply here' or email to [email protected] to drop your resume
• All shortlisted candidates will be contacted.

Tamanna Bilandi

EA Licence No. 91C2918

Personnel Registration No. R2096241