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

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.

Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.

To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.

About the Team

TikTok’s data scientist team is a critical component of the platform’s success, responsible for leveraging data to enhance user experience, optimize content delivery, and drive business decisions. As a leading social media app known for its short-form video content, TikTok relies heavily on data science to stay ahead in a competitive market.

Job Description

- Conduct data analysis in LIVE related business, including watching experience, creator ecosystem, agency management, algorithm improvement and etc..

- Design metrics framework to measure product healthiness, keep tracking of core metrics and understand root causes of metric movements.

- Conduct scientific evaluation with statistical methods, including A/B testing and casual inference.

- Identify growth opportunities with data analytics, and drive business decisions. Work with PM/MLE/RD to deliver product and strategy improvement.

- Research data science theories and methodology, improve analysis efficiency and data product tools.

Qualifications

Minimum Qualifications:

- Bachelor's degree with 3 years of related work experience.

- Expertise in SQL and programming in Python or R.

- Familiar with A/B testing

- Strong analytical and causal reasoning mindset, and rigidity on statistical correctness. Strong communication and passion about product challenges.

Preferred Qualifications:

- Experience of LIVE related business.

- Knowledge of machine learning and recommendation systems.

- Experience with big data technologies.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

COMPANY DESCRIPTION

Located on Jurong Island, the petrochemical hub of Singapore, SRC operates a refinery that is capable of processing 290,000 barrels of crude oil per day to produce fuel products and chemical feedstocks that are supplied to domestic markets and overseas export markets under the brand labels of its shareholders.

RESPONSIBILITIES

Selected candidate will be engaged under a third-party agency payroll for the tenure of employment in SRC. 2-year contract (with possibility for contract renewal).

Key Responsibilities:

• Maintain and update database in Asset Management System and Excel.
• Organize and manage data for easy retrieval and analysis, ensuring data accuracy and integrity.
• Develop dashboards in Power BI to enhance asset management.
• Compile and attach reports from various sources.
• Provide general clerical support, including filing, copying, and scanning documents.
• Coordinate with other departments to gather necessary information.
• Handle correspondence and communication related to technical tasks.

• Diploma related to IT / Engineering is required.
• At least 1-2 years of experience in a clerical or administrative role.
• Strong proficiency in Microsoft Excel, including advanced functions and formulas.
• Basic knowledge of report generation and document management.
• Experience with data management and analytics is highly desirable.
• Previous experience in a technical or engineering environment is a plus.
• Power BI advanced user certification and experience handling "big data" is an advantage.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a diverse set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development’s biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.

Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product’s ecosystem.

Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a diverse toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.

Communication and influence: You won’t simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.

Responsibilities

• Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses.
• Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends.
• Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations.
• Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions.

Minimum Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• A minimum of 2 years of work experience in quantitative analysis (minimum of 1 years with a Ph.D.).
• Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R).
• A minimum of 2 years experience leading product analytics and influencing product roadmap
• A minimum of 2 years experience designing and running A/B tests
• Experience understanding ecosystems, user behaviors and long-term product trends
• Core statistical knowledge
• Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.

Preferred Qualifications

• Masters or Ph.D. Degree in a quantitative field.

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Job Description:

• Participate in the development and construction of the data platform.
• Implement and maintain data collection, processing, and analysis processes to ensure data accuracy and completeness.
• Collaborate with other departments and teams to ensure integration and coordination with other key systems.
• Conduct technical research and tackle technical challenges to ensure system availability, stability, and scalability.

Job Requirements:

• Familiar with the big data product ecosystem, including but not limited to Flink, Spark, Hive, Kafka, Doris, etc., with extensive practical experience in architecture design and performance optimization.
• Solid foundation in Java programming, understanding of I/O, multithreading, collections, and basic frameworks, with some knowledge of JVM principles.
• Proficient in using development framework technologies such as Spring Cloud and Spring Boot.
• Good logical thinking and quick problem-solving abilities, able to quickly identify problems and propose feasible solutions in complex product technical and application scenarios.
• Strong sense of responsibility, keen interest in big data-related technologies, and strong continuous learning and self-motivation abilities.
• Proficient in English and Mandarin to effectively communicate with colleagues in different regions and shareholders.

Job Description/Responsibility:

1. Provide CAD support for Land & Hydrographic Survey projects.

2. Prepare and set up processing plan for assigned projects and carry

out processing for assigned projects.

3. Determine Processing/Drafting requirements together with Survey

Manager.

4. Organize, maintain and safekeeping survey data and AutoCad

drawings.

5. Responsible for correct processing of survey data and correct

technical data submitted for the report.

6. Maintaining clear and organized design documentation and

records.

7. Creates and modifies drawings for all projects according to the

effective procedures and standards.

8. Working rights required for this role.

9. Singaporean/SPR preferred.

Job Requirement:

1. Process data (CAD).

2. Good knowledge of AutoCad and possesses technical proficiency.

3. Conversant with Data Processing Software.

4. Attention to detail and time management enables efficient data

process for timely project delivery.

5. Good command of English language.

Responsibilities;
Write production code and develop applications/interfaces for Trading
Analytics.
• Co-design the architecture for Data Platform and Data Analytics, including the development of Data Lake/Warehouse, optimization of data ows, and highly automated data cleansing.
• Test and deploy algorithms, develop applications, and interfaces for various use cases in Markets area.
• Ensure that applications are properly documented, and that the implementation is in line with internal architecture guidelines and principles.
• Provide support regarding Data Analytics platform and software.
• Automate, monitor, and improve performance of quantitative models.
• Interact with stakeholders and external vendors to optimize data and software infrastructure.
• Assist Product owner with technical questions, creating reports and
implementation roadmaps, technology assessment and decisions.
• Work and collaborate with stakeholders in an Agile-based approach.

Qualications & Skills;
• Bachelor Degree in Information Technology, Computer Science,
Engineering.
• 7+ years of work experience as a Developer/Software Architect. Experience in implementing nancial software is a plus.
• Advanced knowledge of architectural design of real time Data Analytics solutions including Data Architecture, Databases, Data Lakes, Data ows, and Data transformations.

Advanced coding skills in programming languages such as Python, Scala, and Java. Previous knowledge of C++, C#, and/or Haskell would be a plus.

• Expert knowledge of Cloud Computing regarding one of Azure, Google Cloud, or AWS.

• Knowledge of Spark, Databricks, and Kafka.

• Previous knowledge of Oracle, MS-SQL, MongoDB is a plus.

• Experience with Jira, Jenkins, Git, Docker, Kubernetes, and Dash (or similar) is a plus.

• Knowledge of object-relational mapping and object-oriented databases.

• Experience with real-time analytics, OneTick and/or KDB+ is a plus.

• Knowledge of VBA, R, Matlab, Tableau, and PowerBI is a plus.

• Knowledge of Big Data, Machine Learning, and Quantitative Finance is a plus.

• Collaborative, team player, open minded, and easy to work with.
• Procient presentation skills and high attention to detail.
• Able to explain technical results to nontechnical audiences.

Zenith Infotech (S) is a Tech Recruitment firm with 27 years of experience in Singapore, supporrting clients in terms of ICT Consultant placments.

Currently we are looking out for a Data Analyst with 3 years of experience, best working in Contact Center enviornment before or presently.

Responsibilities :

• Extract and clean the data from various data sources to generate daily, weekly and monthly reports.

• Writing SQL queries to retrieve information quickly.

• Fulfil ad-hoc data request from client and management.

• Work / Collaborate with Developer(s) to automate reports

• Liaise with client on data related queries

• Analyze contact center performance metrics, including call volume, response times, and customer satisfaction scores.

• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).

• Identify trends and patterns in data to inform operational improvements and strategy.

• Collaborate with management and other departments to develop actionable insights and recommendations.

• Support the implementation of process improvements based on data findings.

• Ensure data integrity and accuracy.

• Assist in forecasting demand and capacity planning based on historical data trends.

• Stay updated on industry best practices and emerging technologies in data analysis.

• Perform other duties and responsibilities that may be assigned to you by the management within your category of employment.

Qualifications and Skills:

• Minimum Bachelors in Business, Computer Science, Mathematics, Data Analytics, or a related field.

• At least 1 to 3 years of experience building reports using Excel, SQL AWS Quick sight or any other business intelligence and data analytics tools.

• Proficiency in data analysis tools (e.g., Excel, SQL, Python) and data visualization software (e.g., Tableau, Power BI).

• Proven experience in data analysis, preferably in a contact center environment.

• Strong communication and presentation skills

• Proactive and able to work independently with minimum supervision.

• Excellent time management with strong critical thinking and ability to handle pressure.

• Detail-oriented with a strong focus on accuracy and data integrity.

• Familiarity with statistical analysis and modeling.

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of "Using technology to promote social progress, economic development and become a global customer preferred partner" and our concept of "Beyond your expectations", Beyondsoft is committed to provide our customers in countries along the "Belt and Road" with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

Our core business includes:

1. IT development services providing customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
2. New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
3. Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.

For more information, please visit www.beyondsoft.com.

RESPONSIBILITIES

• Work closely with data product team and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Work closely with product vendors to design, deploy and integrate different data platforms with the organization's ecosystem.
• Ensure that the deployed platforms follow the IT security and compliance policies.
• Establish processes and develop monitoring mechanisms to detect the availability of the platforms.
• Act as the solution architect and develop the end-to-end onboarding of projects onto the data platforms deployed in the organization for different BI needs such as data ingestion, visualization, data governance.
• Perform testing on the deployed data platforms

• Bachelor's Degree in Computer Science or equivalent.
• At least 5 years' experience of working as a platform support engineer or a software engineer or a data engineer.
• Solid working knowledge of implementing the optimal data structures and algorithms to create efficient and scalable applications in Java or Python.
• Strong hands-on experience and working knowledge of application implementation to implement new platforms.
• Familiar with application integration using RDBMS.
• Hands-on experience of using Linux (or Unix-like OS) as the development environment, and familiar with Shell scripts and command line tools.
• Knowledge of data integration and data visualization platforms such as Informatica, Tableau, and Power BI.
• Exposure and knowledge in the following technologies will be advantageous:
  • Java, Python
  • Snowflake, Oracle, MS SQL, Denodo
  • AWS services
• Experience in the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.
• Good understanding and able to apply good industry practice of code versioning, testing, CICD workflow, and code documentation.
• Good team player, with strong analytical skill and enjoy complex problem solving with innovative ideas.
• Good communication/people skills and able to interact with data analysts, business end-users and vendors to design and develop solutions.
• Good at working with details and is meticulous for operations.

• Support the transition of data migration activities from other vendors and ensure alignment with the overall migration strategy.
• Refine data migration requirements, update migration strategy, and coordinate with stakeholders to ensure all aspects of the migration are covered.
• Assess data quality issues, collaborate with business users to prioritize data quality analysis and address any concerns.
• Build and manage test cases, scenarios, test scripts, and define entry/exit criteria for successful data migration.
• Define and establish key performance indicators (KPIs) and dashboards to monitor the execution of the data migration process.
• Work closely with the Data Migration Lead to ensure adherence to timelines and project milestones while supporting the overall data migration strategy.
• Min. 3 years of IT Service Management (ITSM) experience, covering all phases of ITSM (e.g., ITIL).
• Min. 3 years of Business Analyst experience, including documentation and project management.
• Solid knowledge of ITIL or other ITSM frameworks.
• At least 3 years of working experience in banking/ financial service

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is looking for Data Analyst

Internal Code: A24122

This is a contract role - the engagement is from January 2025 to July 2025

This is a healthcare application:

• Mobile application (iOS and Android)
• Dashboard (React)

What will you do?

• Support the development and business teams in unit testing and archiving data, engineered features, and algorithmic inputs/outputs throughout the data pipeline and to support analytics.
• Proven experience as a data engineer/ data analyst in mobile app development projects and administrative dashboards.

1. Create unit tests throughout the data and algorithms domain:

• Work with engineering and business teams to implement wide-coverage unit tests of data and engineered features at different stages throughout the data collection and processing pipeline
• Create unit tests of inputs to and outputs from the algorithms that drive the clinical service
• The unit tests include validation of the inputs and outputs of black-box machine learning algorithms
• Establish a regular process to execute the tests and document their outcomes as a part of our product development and release lifecycle

2. Implement and refine mechanisms to continuously archive the state of algorithmic inputs and outputs:

• Implement a process of taking snapshots of data/features input into algorithms necessary to recreate their outputs/predictions at any point in the past during the service
• Communicate requirements to the software development team

3. Assist in the successful delivery of regular service analytics and reports:

• Support the business and analytics teams in their daily and weekly delivery of reports on data completion, user engagement, and algorithm actions by addressing any data quality and validation requirements.

What are we looking for?

• Bachelor's Degree in computer science, engineering, business analytics, technology, or a related field.
• Minimum of 2 years of experience in data engineering, data analytics, or data product management roles within the tech industry. Experience in healthcare is a plus.
• Ability to implement tests in Python.
• Experience in machine learning algorithms
• Good understanding of the validation requirements of an algorithmic product. Knowledge of healthcare regulation and auditing requirements is a plus.

What do we offer in return?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd 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 Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’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 (https://www.activate.sg/privacy-policy) 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.

Job Responsiblities:

- Develop and implement advance statiscal and machine learning models to solve complex problems.

- Lead the data-driven decison- making process, from date collection and analysis to implementation and monitoring of solutions.

- Partner with senior stakeholders, including product managers, engineers, and executives, to understand business objectives and translate them into actionable data insights. Provide strategic recommendations to drive business growth and operational excellence.

- Partner with senior stakeholders, including product managers, engineers, and executives, to understand business objectives and translate them into actionable data insights. Provide strategic recommendations to drive business growth and operational excellence.

Job Requirement :

Master’s in Data Science, Statistics, Computer Science, Mathematics, or a related field. Advanced academic qualifications are highly desirable

At least 10 years of relevant working experience in data projects or data science or analytics.

Proficient in Python, R, SQL, and other programming languages and tools for data analysis and manipulation.

Experience in developing and deploying data products and applications using cloud platforms, such as AWS, Azure, or Google Cloud.

Wipro Limited is a leading global information technology, consulting and business process services company. We harness the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help our clients adapt to the digital world and make them successful.

A company recognized globally for its comprehensive portfolio of services, strong commitment to sustainability and good corporate citizenship, we have over 220,000 dedicated employees serving clients across six continents. Together, we discover ideas and connect the dots to build a better and a bold new future.

Network Data Administrator

Responsibility & Requirement

• Managing end to end administration of all Network platforms (Cisco Router & switches, Cisco Wireless infra along with Infoblox DDI).
• Ability to configure and debug and do basic level trouble shooting in technology areas like routers, switches, WIFI.
• Exposure to troubleshooting of routing protocols (RIP, EIGRP, OSPF, BGP).
• Experience on switching (VLAN, VTP, RPVST, Stacking).
• Experience in Cisco Catalyst 9K, 3550, 3650 and Nexus 7K & 9K, Cisco ISR/ASR routers.
• WAN Router configuration and Troubleshooting.
• Knowledge on Riverbed WAN optimizer.
• Network infrastructure management & configuration.
• Experience to handle Cisco wireless Infra, Cisco Prime and WAP devices.
• Strong knowledge on Infoblox DNS, DHCP.
• Able to take handover from project team as required.
• Regular audit of network devices and take corrective action accordingly.
• Performance Management & Optimization.
• Root Cause Analysis.
• Provide inputs for Capacity Planning/ Migration/ Optimization / Future upgrade strategy based on the performance trend.
• Preparation of Daily/Weekly/Monthly reports.
• Coordination with multiple vendors.
• Handling escalated incidents or high critical tickets.
• Plan and schedule for change management.
• Develop and maintain architecture diagrams and documents.
• Prepare SoPs and SMTD
• Good Communication skills.

Required Skills:

• LAN Switching, Cisco Nexus Switches, Routing protocols, Cisco wireless setup
• Minimum experience of 6 years in related field.
• Minimum Degree in related field.

Technical skills

Hands-on experience required on the following technologies:

• Routing protocols - EIGRP, OSPF, BGP, PBR.
• LAN Switching - VLAN, VTP, STP, HSRP, GLBP, Cisco Nexus Switches (5k, 7k, 9k) - VDC, VPC, OTV, FEX.
• Cisco Wireless setup.
• Infoblox DDI.
• TCP/IP protocol suite, Quality of Service.
• Riverbed WAN optimizer.
• Knowledge on IPSec VPN, AAA Architecture, TACACS+ and RADIUS will be preferred.

We thank all applicants for your interest but regret to inform that only shortlisted candidates would be notified.

We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, caste, creed, religion, gender, marital status, age, ethnic and national origin, gender identity, gender expression, sexual orientation, political orientation, disability status, protected veteran status, or any other characteristic protected by law.

• To support customer in maintaining their existing AliCloud solutions in accordance with best practices.
• To fix issues in customers existing AliCloud solutions.
• To communicate with Alibaba Cloud for advice on technical issues.
• To communicate and align with offshore AliCloud Data Engineer on task assigned to FPT team.
• Bachelor degree or above in IT and engineering, with relevant professional certificates.
• AliCloud related certification is a MUST.
• At least 1 other cloud (non AliCloud) certification will be preferred. More cloud certifications will be a big PLUS.

Requirements

• 3 to 5 years of working experience in IT industry.
• Hands-on experience in at least 1 AliCloud related project is a MUST. More AliCloud projects will be a PLUS.
• Hands-on experience in other cloud (i.e. non-AliCloud) related projects will be a PLUS.

Job Summary

We are looking for Data Engineer who will be playing a key role in creating, building and maintaining our client’s data infrastructure.

Mandatory Skill-set

• Degree in Computer Science or related discipline;
• Minimum 2-3 years of experience in Data Analysis and experience of Project management;
• Knowledge of making frameworks and power point presentations;
• Good hands-on experience in Python/ Spark and SQL to code complex data engineering use cases;
• At least 2 years of experience in Data Management and data governance;
• Able to collect, parse, manage, analyse and visualise large sets of data to turn information into insights accessible through multiple platforms and works more with structured data;
• Basic project management knowledge, Team presentation skill & Business analytical skill;
• Excellent interpersonal, and communication skills with the ability to coordinate / work with multiple teams;
• Motivated, driven, logical, and possess excellent time management skills;
• Has strong analytical and problem-solving skills with attention to detail.

Desired Skill-set

• Experience in financial industry;
• Familiarity with Agile development methodologies.

Responsibilities

• Create, build, and maintain the data infrastructure required for Extraction, Transformation and Loading of data from a wide variety of sources.
• Ensure high-quality data is delivered to support Compliance model development.
• Support the implementation of Data Analytics / Automation for Compliance teams and Business stakeholders.
• Liaise with relevant stakeholders (e.g., Data Management Office) to identify and assess suitability of data for Compliance Data models.
• Liaise with Business stakeholders / analysts and ensure assembled data assets used for model development meet business requirements.
• Build & maintain data dictionaries / data requirements of implemented data models and coordinate with Data Scientist(s) in developing model narratives.
• Monitor the execution & performance of data models and liaise with IT for any technical / system outages.
• Keep track of datasets / tables in the working schema and support purging of unused tables periodically.
• Perform data analysis required to troubleshoot data related issues and support the resolution of raised data issues.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

Position Summary:

This position requires in-depth technical understanding and rich practical experience in data security, risk mitigation technology, and R&D engineering. Through the R&D, integration, and implementation of data security engineering, we will implement a data security operation platform for supporting data security operations, privacy and compliance teams to identify, assess, and mitigate risks. The candidate should be familiar with software engineering industry standards and best practices, and be able to effectively collaborate with multiple parties, including Big data team, technology R&D, and other security departments.

Responsibilities:

• Facilitate risk analysis, data security requirements, and technology roadmaps with Tech & security teams, ensuring compliance with industry and regulatory standards (e.g. CCPA, PDPA).
• Collaborate with security teams across regions to develop strategies and execute projects based on compliance and data protection needs to safeguard customer and enterprise data.
• Responsible for the data security engineering and solutions end-to-end, from technical design, R&D development, implementation, and commercial system integration.
• Implement data security operation platforms including data discovery, classification, de-sanitization, compliance control, and leakage prevention.
• Integrate commercial data security tools such as endpoint DLP, cloud DLP, CASB, data discovery and classification, and privacy DSR platform, ensuring alignment with EU data protection regulations.
• Ensure that data security measures integrate seamlessly with company-wide security strategies and contribute to the overall security posture.

Skills and Qualifications:

• Data Security Proficiency: Practical working knowledge of data security solutions including data discovery, classification, de-identification, and leakage prevention using tools such as endpoint DLP, cloud DLP, CASB, and Privacy DSR tooling.
• Software Development Experience: At least 5 years of solid experience in software development, with a preference for expertise in Java.
• Database and Applications: Familiarity with relational databases like MySQL and applications such as Redis, MQ, and Elasticsearch.
• Big Data Technologies: Knowledge of big data related technologies like Flink, Storm, Kafka, etc., is preferred.
• Education Level: Bachelor’s Degree
• Field of Study: Computer Engineering, Computer Science, Information Technology, Cybersecurity, or related fields.
• Certifications: Relevant cybersecurity certifications such as CISSP, CISM, CISA, or PMP are highly desired.

We are hiring a HR Data cleansing Officer !

Contract Duration: 6 months (possible renewal)

Salary: $2,500 - $3,000

Working Hours: Monday to Friday, 9:00 am - 6:00 pm

Responsibilities:

• Design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization platforms.
• Perform data extraction, cleaning, transformation, and flow, including web scraping as required.
• Build, launch, and maintain efficient, reliable large-scale batch and real-time data pipelines using data processing frameworks.
• Integrate and consolidate data silos in a scalable and compliant manner.
• Collaborate with cross-functional teams, including Project Managers, Data Architects, Business Analysts, and others, to develop scalable data-driven products.
• Develop backend APIs and manage databases to support applications.
• Work closely with fellow developers through pair programming and code reviews.
• Lead the design and implementation of data solutions in a big data environment.

Experience and Skills Required:

• Proficiency in data cleaning and transformation tools (e.g., SQL, pandas, R).
• Expertise in building ETL pipelines using tools such as SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, and ECS Container tasks.
• Strong database design skills and experience with various databases (e.g., SQL, PostgreSQL, MongoDB, MySQL).
• Experience with cloud technologies (AWS, Azure, Google Cloud).
• Familiarity with big data frameworks and tools (e.g., Hadoop, Spark, Kafka).
• Knowledge of system design, data structures, and algorithms.
• Proficiency in scripting languages (e.g., SQL, Python).
• Leadership experience in data engineering projects.

ARE YOU SEEKING FOR GROWTH YET YOU WANT A FULFILLING CAREER?

Be ready to embark on a journey which offers you an exciting opportunity!

HERE’S A SHORT INTRO OF WHO WE ARE

Since 2005, finexis has been more than just a financial services provider – we are lifelong confidantes, guiding clients through every stage of their financial journey. As the largest and fastest growing independently-owned financial advisory firm in Singapore, we are proud to have over 900 consultants and staff, $1 billion in assets under advisory, and strategic partnerships, that establish us as a market leader in personalised financial services.

We deliver tailored financial solutions in wealth management, investment planning, and risk management, all driven by our mission to impact lives beyond finance.

WHAT TO EXPECT

This role includes reporting and data analytics, performance management, business partnering and decision-making support.

WHAT YOU'LL DO

• Support business performance management cycles, including planning & budgeting, target setting, performance review, providing management information and analytics (scheduled and ad-hoc), etc.
• Responsible for streamlining and controlling business and financial data processes to ensure the accuracy and reliability of reports and analysis
• Serve as subject matter expert in designing, building, and maintaining business intelligence tools and Tableau dashboards
• Conduct comprehensive market studies to generate actionable business intelligence and strategic insights
• Support initiatives to develop financial models, prepare business cases, and support the implementation of strategic initiatives
• Create and maintain reusable SQL scripts and macros to streamline data extraction, aggregation, and validation processes across multiple data sources
• Undertake special projects and assignments as and when required.

WHO YOU ARE

• Degree in Accountancy, Finance, or related disciplines
• 3 years of working experience in Big 4, financial services, or e-Commerce sectors with financial analyst exposure
• Hands-on experience with Tableau, SQL and Python are highly desirable
• Strong analytical and problem-solving skills, with the ability to exercise sound judgment and intuitive thinking
• In-depth understanding of data structures and data management
• Meticulous, problem solver with a can-do attitude and a desire to excel
• Team player with excellent verbal and written communication skills
• Ability to work in a fluid, dynamically changing, and results-oriented environment

· Degree in engineering, computer science, information systems or equivalent

· Certification in these areas is a plus: PMP, PRINCE2, CBAP, ITIL

· Min 3-5 years of experience managing SAP data migration, roll out and implementation projects and is familiar with SAP implementation methodologies

· Possess strong project management skills with a track record of delivering projects on time and within budget

· Experience seeing through a business process-reengineering program and knowledge of plant maintenance best practices an added advantage.

· Strong problem solving and analytical skills

Job Description

Purpose of job:

• Design and implement scalable data pipelines and ETL processes for extracting, transforming, and loading data from various sources.
• Optimize and monitor data workflows to ensure data quality, reliability, and performance.
• Provide clean and comprehensible data to end-users that can be efficiently used to create KPIs or for analysis purposes
• Automate data and reporting to support data analysis, data science, and the business.
• Collaborate with cross-functional teams to gather requirements and understand data needs for business intelligence and reporting.
• Mentor and provide guidance to team members.

Main Responsibilities:

• To create/automate data pipelines on Azure cloud and on-premise infrastructure.
• To monitor all data pipelines to ensure they run smoothly and fast.
• Enhance and streamline business intelligence tools, processes, while implementing them strategically
• Participate in the development of data warehouse and its design
• Developing data marts and data cubes to support data self-service initiatives across the Group
• Improve database query performance to improve end-user querying and reports generation
• To support ad-hoc data requests to the business and third parties.
• Create/maintain technical documentation for BI interface, e.g. API documentation, known technical issues, etc

Main Duties

• Ensure all regulatory returns are prepared accurately and in compliance with local reporting requirements which includes ACRA and MAS related submission.
• Co-ordinate the monthly, quarterly, and annual closings of financials with Technical Accounting and Finance Operations
• Review closing journals and entries for accuracy, conduct thorough financial analysis and ensuring consistency with budget expectations and reforecasts.
• Assist in preparing the IFRS17 trial balance and corresponding reporting to home office, including attending to associated queries.
• Coordinate with the tax agent for all the necessary tax submissions.
• Coordinate and support annual audit activities by ensuring timely preparation of Financial Statements and supporting schedules. Facilitate communication and information exchange between external auditors and internal teams.
• Assist in resolving audit queries and ensuring compliance with audit requirements and deadlines.

Experience

• 3 – 5 Years of working experience, with at least 3 year of experience in data engineer.Cloud Technology, Microsoft SQL Server and Data warehouse.

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Position Overview:

We are seeking an experienced Data Architect to lead the design and implementation of advanced data solutions for our clients strategic financial services initiatives. The ideal candidate will have a deep understanding of structured finance, asset-backed lending, and expertise in modern cloud-based data architectures, particularly on Azure. This role requires exceptional skills in data modeling, analytics, and governance to enable the organization to leverage data for decision-making, innovation, and operational excellence.

Role Type – Contract Based
Role Tenure – 6 month to One Year
Location – Singapore
Requirement – Singapore PR

Key Responsibilities:

1. Data Architecture Design:

- Develop and implement scalable, secure, and robust data architectures to support structured finance operations, including credit analysis, loan servicing, and portfolio management.

- Design data models and solutions aligned with Azure data services to optimize performance and reliability.

2. Cloud-Based Solutions Development:

- Architect and implement cloud-native data solutions leveraging tools such as Azure Data Factory, Azure Synapse Analytics, and Azure SQL Database.

- Optimize the use of Azure Data Lake, ensuring secure storage, accessibility, and management of structured and unstructured data.

3. Data Integration and Pipeline Management:

- Design and manage ETL/ELT pipelines for seamless data ingestion, transformation, and integration across systems.

- Ensure real-time and batch data processing capabilities to support financial operations and analytics.

4. Data Governance and Compliance:

- Establish and enforce data governance standards, ensuring compliance with regulatory frameworks and industry best practices.

- Implement robust data security measures to protect sensitive financial information in line with GDPR and MAS regulations.

5. Analytics and Reporting Enablement:

- Collaborate with business teams to design dashboards and visualizations for actionable insights, using tools such as Power BI or Tableau.

- Support advanced analytics and machine learning initiatives for risk assessment and portfolio optimization.

6. Collaboration and Stakeholder Management:

- Work closely with cross-functional teams, including business stakeholders, data engineers, and analysts, to align data strategies with business goals.

- Lead technical discussions, provide mentorship to junior team members, and manage vendor relationships.

7. Continuous Innovation:

- Stay updated on emerging trends in data architecture, cloud technologies, and financial services to recommend cutting-edge solutions.

- Identify opportunities to enhance data operations through automation and AI-driven insights.

Qualifications and Skills:

- Experience:

- 8+ years of experience in data architecture, with at least 3 years in the financial services domain, focusing on structured finance and lending.

- Proven experience with Azure cloud technologies for data storage, processing, and analytics.

- Technical Expertise:

- Proficiency in Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL.

- Strong skills in data modeling, ETL/ELT design, and working with structured and unstructured datasets.

- Hands-on experience with big data frameworks and analytics tools like Power BI, Tableau, or similar platforms.

- Domain Knowledge:

- Understanding of credit evaluation, deal structuring, and regulatory requirements in the financial services sector.

- Familiarity with risk management frameworks and financial performance metrics.

- Soft Skills:

- Strong communication and stakeholder management skills, with the ability to translate technical concepts into business value.

- Analytical mindset with attention to detail and a passion for problem-solving.

Preferred Certifications:

- Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect.

- Certifications in data management or analytics, such as CDMP or equivalent.

What We Offer:

- An opportunity to work on impactful data-driven projects in the structured finance sector.

- A collaborative and innovative environment focused on professional growth and cutting-edge solutions.

- Competitive compensation and benefits package.

Data Application Specialist

Responsibilities:

• You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
• You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
• You will be responsible to create, design and develop intricate data processing pipelines.
• You write clean and iterative code for continuous delivery practices to deploy, support and operate data pipelines.
• Design and implement solutions around data warehouse implementation ranging from architecture, ETL processes, multidimensional modelling, data marts implementation.
• Design and optimize data acquisition, data ingestion, data processing using ETL (Extract, Load, Transform) tool and developing dashboards or other visualizations using Google Cloud Platform or other solutions.
• You will develop data models by selecting from a variety of modelling techniques and implementing the chosen data model using the appropriate technology stacks.

Requirements:

• From 2 to 4 years of experience working as a data engineer or related role.
• Hands-on experience in AWS Glue, AWS RedShift, Tableau, QlikSense
• Proficiency in handling programming languages projects such as Python, Java or Scala.
• Track record in implementing systems using Hive, Scala will be preferred.
• Strong in data modelling, data processing frameworks’ tools such as Hadoop, Spark, SQL is an advantage.
• Good understanding of analytics and data warehouse implementations
• Experience with Cloud Technologies is a plus.
• Good understanding and completion of projects using Agile methodology.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.
• Experience with industry standards within Data Management like ETIM, eCl@ss, BMEcat and other systems like ERP, PLM (product life-cycle management) and ecommerce platforms.
• Previous PIM system experience is a must
• Ability to speak and write in Chinese as the incumbent requires to liaise with the China HQ counterparts/personnel for work or project related matters

Interested candidates, please send your CVs on [email protected]

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

Xaltius is a technology and data-driven company with the expertise to provide innovative software solutions and training to customers around the globe. We work to revamp and refine business potential, driving business excellence. As a maturing, tech-based company at heart, we are driven by the ever-changing dynamics of digitalization to provide personalized software solutions elevating business capabilities. Alongside our counterparts, we offer retail and corporate training in the fields of data analytics, data science, big data, and cloud technologies and have been actively doing that in Singapore since inception.

We are a diverse and value-driven team of knowledgeable and talented individuals, focusing entirely on achieving outstanding customer satisfaction. Being a young and fast-moving team, open-mindedness and flexibility define us. We strongly believe in educating and inspiring interested adult learners through our training sessions and are looking for enthusiastic and futuristic clients to collaborate with on IT projects.

This is a one year contract role with the need for the following:

Skills Requirement :

Areas of expertise are as follow (one or more):

• Advanced Python
• Data Analytics & Machine Learning with Python
• Microsoft PowerBI
• Statistics for Data Science
• Microsoft Excel (Data Cleaning, Functions, PivotTables, Pivotcharts)
• SQL and Database Design
• Tableau
• Deep Learning
• Big Data
• Data Bricks

Job Requirements:

• Preferably 2 years relevant working/ teaching experience in data analytics and in training professionals
• Masters specializing in Data Science is a plus
• ACLP/ACTA certified is a plus
• Excellent interpersonal and written communication skills
• Willingness and proactive to assist in troubleshooting and solving issues
• Passion towards learning new skills and knowledge, and imparting knowledge to others.