Company’s Profile

Our client, a security solutions provider has been established for more than 25 years, with a strong reputation in the industry. They specialize in delivering comprehensive turn-key security systems, from design and integration to maintenance and support and serve clients in government, trade and commercial sectors. They are now looking for Data Center Technicians to join their expanding team!

Location: Lakeside / Admiralty

Working hours: Monday to Friday, Office Hours

Responsibilities:

• Oversee building and data centre facilities: recording and reporting on the BMS / EMS / Fire D&P / Chiller / Electrical etc
• Administrator for preventative maintenance programs to ensure that equipment are properly serviced & maintained
• Maintain good documentation of facilities and / or equipment maintenance
• Prepare monthly SLA reports for equipment uptime, power usage & temperature readings
• Respond to emergency situation and be on 24x7 standby duty
• Prepared to be on 24x7 standby recall to provide extra manpower coverage when necessary
• Be involved in new data centre projects as well as renovation and maintenance to existing space
• Responsible to handle site inspections / audits by external authority (eg. HDB/LTA/NEA/FSB)
• Scheduling and tracking of servicing jobs and vendor management on a day to day basis
• Maintain high customer service level standards
• Managed all facilities contracts

Requirements:

• Min. Diploma in Building / Facility Management or any other related field
• Some relevant experience in Data Centre facility management and vendor management is a good bonus
• Good knowledge in building technology, mechanical and electrical services and facilities management

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312

Job Summary

A great opportunity as a Data Engineer to work in cloud based data engineering, analytics and data management team in a well established company.

Mandatory Skill-set

• Bachelor's Degree in Computer Science or equivalent;
• Minimum 5 years of experience in data engineering and data management;
• Hands on technical experience in Azure Data Factory, Databricks, Synapse, SQL Server Integration Services;
• Strong experience in Python / SAS / R along with Tableau / Power BI;
• Strong experience in gathering business requirements and translating into technical specification;
• Strong analytical skills with high curiosity to deep dive into root cause of problems and suggest solutions;
• Has good stakeholders management experience;
• Attention to technical details;
• Ability to deliver tasks on time with high quality outcome;
• Self motivated and ability to take ownership;
• Strong written and spoken communication skills.

Desired Skill-set

• Azure Data Engineer Certified;
• ITIL certified;
• Prior experience in Python, R or Machine Learning tools.

Responsibilities

• Design and develop data models, ETL pipelines, data integration process while ensuring data accuracy and quality;
• Perform data analysis of structured and unstructured data and perform business intelligence initiatives such as build user friendly reports using data visualization tools;
• Analyze ETL requirements from users and provide solutions accordingly;
• Responsible for planning and executing data profiling and data quality analysis;
• Monitor data pipelines, databases and analytical processes to ensure smooth operations;
• Identify and resolve data-related issues, performance bottleneck and data quality problems;
• Design and document data catalogs and data architectures;
• Perform regular data cleansing exercise to ensure that data is of high quality and relevant to the business needs;
• Execute data transformation, correction and aggregations to ensure compliance with business / regulatory requests;
• Build and maintain reports and dashboards using suitable data visualization tools;
• Conduct analysis on the reports and translate the findings into valuable insights to business users;
• Prepare data for prescriptive and predictive modelling;
• Perform database monitoring and performance tuning

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 interview.

This role will focus on advising customers looking to enhance their business or operational outcomes through the use of Data and Analytics on AWS. In this role you will advise on architecture best practices, lead projects, manage customers stakeholders and conduct customer workshops and implement complex Data workloads with our customers and partners.

Key job responsibilities
*Advise customer’s technologists and business leads; help them to explore the art of the possible with Data and Analytics, and to develop scalable Data solutions on AWS to deliver business value in the most effective way
*Discuss industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail
*Deliver large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to development, testing and roll out
*Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of Data and Analytics on AWS

About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Basic qualifications

• Bachelor's Degree or equivalent experience in STEM.
• 5+ years of experience with direct customer (internal or external) interaction with responsibilities in Data and Analytics solutions design, architecture and implementation (Data Lake, Data Warehouse, Lake House, Data Mesh, Data as a Product and Data Governance including Data quality and controls, etc..).
• Ability to think strategically about business, solutions and technical challenges.
• A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.

Preferred qualifications

• 3+ years Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI
• Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.
• AWS Experience and Certifications, including implementation of cloud-based Data and Analytics solutions.
• Ability to understand and educate customers on cloud computing technologies and workload transition challenges.
• Advanced degree desired (e.g., MBA, MS)

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

about the company:
Our client is a prominent service provider known for delivering innovative and customized insurance solutions designed to cater to the varied needs of individuals and businesses.

about the 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.

skills and experience required:

• Bachelor’s Degree in Engineering, Computer Science or related field.
• 3 – 5 Years of working experience, with at least 3 year of experience in data engineer. Cloud Technology, Microsoft SQL Server and Data warehouse
• Strong Cloud Technology.
• Strong SSIS, SSAS, SSRS, Python
• Strong knowledge in SQL

To apply online please use the apply function, alternatively you may contact Dalpreet Kaur at [email protected] (EA: 94C3609 /R23111951)

• Evaluate the potential consequences of changes to upstream and downstream systems.
• Develop and maintain programs (shell scripts, SQL scripts) adhering to coding standards and best practices.
• Follow the organization's SDLC processes, creating and updating relevant documentation.
• Participate in system design, review, and improvement, ensuring security and performance.
• Diagnose, troubleshoot, and resolve production issues, implementing both short-term and long-term solutions.
• Perform routine maintenance tasks, including disaster recovery drills and software updates.
• Provide ad-hoc support, data analysis, and troubleshooting to users.
• Manage, maintain, and optimize applications to meet service level expectations.
• Identify and implement improvements to enhance system performance and functionality.
• Coordinate and support production releases, including on-call and after-hours support.
• Proactively identify, assess, and escalate potential risks and issues.

Requirements:

• Hold a master’s or bachelor’s degree in Information Technology, Computer Science, Management Information Systems, Banking and Finance, or a related field.
• Have a minimum of 2 years of experience in MS SQL Server development, including work on SSIS packages, stored procedures, functions, and triggers.
• Demonstrate familiarity with the Software Development Life Cycle (SDLC) process.
• Exhibit strong problem-solving skills and thrive in a dynamic technical environment, with the ability to multitask and deliver high-quality solutions.
• Possess a comprehensive understanding of database management systems.

To apply, please visit www.gmprecruit.com and search for Job Reference: 25015

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.

Job Descriptions:

1. Complete in-depth special data analysis and insight based on business requirements, establish service growth models, data dashboards, analysis models, and indicator systems based on scenarios, and check and attribute abnormal data changes.

2. Disassemble and define complex problems, and propose effective strategies or solutions based on data mining and statistical modeling. Analyzes and models massive user behavior data, such as feature processing, labeling, modeling, effect evaluation, and model optimization.

3. Based on the in-depth understanding of user groups, media advertising slots, advertisers, platforms, and ecosystems, define scientific index systems and exploratory data analysis to accurately reflect the current business situation and quickly identify potential improvement opportunities in each business and technical direction.

4. Work closely with collaborative teams to design and implement scientific and reasonable AB experiments or observational research, guide scientific decision-making and iterative closed-loop, and promote the implementation and continuous optimization of data analysis conclusions.

5. Be responsible for big data governance, data access, data asset, and data quality maintenance, and maintenance of bottom-layer platforms and upper-layer data applications. Be able to handle routine maintenance, fault locating, and troubleshooting of various big data-related systems and data products. Ensure the normal and stable running of the system and services.

Job Requirements:

• Master's degree or above in computer/statistics/mathematics/operations research (doctoral degree is preferred), more than 3 years of relevant experience in user growth/user product analysis/business analysis is preferred.

• Have theoretical knowledge foundation and practical experience in statistical analysis, machine learning, and data mining, including probability statistics, data mining, and machine learning algorithms (classification, clustering, and time sequence).

• Have a basic command of Linux and network basics. Have a good command of the distributed parallel computing framework, including Hadoop, Hive, Spark, streaming computing, and real-time computing technologies.

• Have a good command of basic SQL syntax and be familiar with database programming languages such as HiveSql, SparkSql, Oracle, MySQL, and postgresql. Rich experience in data analysis, mining, cleaning and modeling;

• Excellent ability to write business analysis reports, and keen to find and analyze hidden problems in a timely manner. Good at communication, willing to cooperate, keen on new technologies, good at summing up and sharing, like hands-on practice.

Interested candidate who wish to apply for this position, please click on APPLY NOW

EA License No.: 01C4394 | PERSOLKELLY Singapore Pte Ltd

EA Registration No.: R23117518 | Heah Sian Wei

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its local and overseas subsidiaries and affiliates collecting, using and disclosing your personal data to prospective employers/companies based in any country for purposes of evaluating suitability for employment, conducting reference checks, administering employment related services, complying with Government’s COVID-19 health advisories and such other purposes stated in our privacy policy. Our full privacy policy is available at www.persolkelly.com.sg. If you wish to withdraw your consent, please drop us an email to let us know. Please feel free to contact us if you have any queries

Thakral One is a technology consulting and services company headquartered in Singapore, with a pan-Asian presence. We focus primarily around technology-driven consulting, adoption of value-added bespoke solutions, enabling enhanced decision support through data analytics, and embracing possibilities in the cloud. We are heavily inclined towards building capabilities collaboratively with clients and believe strongly in improving grounded and practical outcomes. This approach is possible through our partnership with leading global technology providers and internal R&D teams. Our clients come from Financial Services, Banking, Telco, Government, Healthcare, and Consumer-oriented organisations.

The Role:

We are currently on the look-out for a Senior Business Data Analyst for a project with one of our multinational banking clients. You will have experience in working in complex banking programs responding to existing and new data requirements to assess and track application and user migration status.

The Requirement:

• Minimum 8 years experience as a Business Analyst in a banking environment
• Data management and reporting experience
• Experience working in complex technology transformation programs in banks
• Eliciting and responding to existing and new requirements
• Technologies: Jira, Confluence, Excel, Tableau, Alteryx and Powerpoint

We are looking for experienced static and mobile laser scanning professionals (TLS and MLS). Our new colleagues will perform LiDAR scanning of urban trees in Singapore and APAC, completing pre- and post-processing, geodetic and GIS related tasks.

Your skills and knowledge will ensure the precise preparations, the planning of survey projects, and the provision of data acquisition and processing.

Who we are

As the global pioneer in nature-based smart-city solutions, we help cities around the world to become more sustainable and more resilient against climate change. We are leading in applying smart city technologies such as the latest remote sensing and machine learning to green urban assets. With our cloud-based platform cities improve the well-being of their citizens through a greener, healthier, safer and more resilient urban environment while reducing operational costs. We currently operate offices in Budapest, Berlin, Singapore, San Francisco and Paris.

Your contribution will be

• Planning each area scanning as individual project.
• Scanning trees and urban objects (parks and streets).
• Performing basic maintenance and installation tasks of the equipment.
• Ensuring laser scanners and accessories are well calibrated according to specifications and requirements and kept in proper working order.
• Post-processing of scanned data with Riegl Software (training provided).
• Ensuring smooth logistics of the survey equipment.
• Maintaining assertive communication with authorities during the survey projects with the support of our HQ.

We need you to

• Have a minimum of 3 years of relevant working experience – field surveying.
• Be well versed in surveying technology and in using laser scanning equipment.
• Competence in pre- and post-processing, geodetic and GIS related tasks.
• Possess good technical sense and interest in state-of-the-art technologies.
• Hold a valid driving license and have a safety-conscious, responsible driving style.
• Have a good command of the English language.

We give preference to

• Degree in surveying or equivalent. Diploma holders in other professional areas with relevant experience will also be considered.
• Proven experience of working with high-value equipment.

We offer

• Opportunity to develop a product with high impact on the digitization and management of urban forests and on climate change adaptation in cities.
• Cutting-edge tools and technologies to work with, e.g., LiDAR remote sensing.
• Possibility to work and learn in an international, open-minded team of passionate (green-)tech experts.

About Filtrona

Filtrona is the only global, independent market leader in the design, testing and manufacturing of specialist filter solutions and related scientific services. With a head office in Singapore, Filtrona has 8 manufacturing facilities across Europe, America, and Asia, together with 2 innovation centres, an accredited laboratory and a Centre of Excellence focused on sustainability. The company has 2,000 employees serving customers across 120 countries.

Our purpose is to support partners to transform and benefit from business growth; we succeed when they succeed. Our mission is to be a responsible, customer-focused innovation leader creating excellence in sustainable solutions for today and tomorrow.

For more information, please visit www.filtrona.com

Role and Responsibilities

We seek a highly skilled and motivated Senior Data Engineer to join our ERP Project Team on a 2-Year Contract basis. This person will report to the BI & Data Lead and will provide technical support for the data migration to the new ERP solution.

• Create a development, test & production environment with suitable support from IT.
• Support Data Migration Lead in source to target mapping.
• Develop the ETL coding required to migrate legacy data to loading templates, that the SI will then load. Will also have to version all code and provide auditable promotion of this from development to test to production within the Technical Data Migration Team Database.
• Creation of staging tables and other data structures within the Technical Data Migration Team Database. This will include separating data provided for different test phases e.g. SIT, UAT, Cutover and Go Live.
• Profiling data.
• Writing Business Data Cleansing Reports and Technical Validation Reports as data progresses through an ETL cycle.
• Supporting business reconciliation with Reports/Queries as data progresses through an ETL Cycle
• Understanding source legacy data
• Manage Junior Data Engineer's work

Key Skills & Qualifications Requirements

• Degree in IT, Computer Science or equivalent
• Relevant certifications such as SAP Certified Application Associate, Informatica Certified Professional, or similar are a plus.
• At least 5 to 10 years of relevant experience in successful data migration strategy and delivery associated with a global ERP implementation.
• Extensive knowledge of data structures and data migration tools.
• Experience with data migration processes.
• Proficiency in ETL tools and technologies such as SAP Data Services, Informatica, Talend, or similar.
• Strong understanding of data extraction, transformation, and loading techniques.
• Experience with database management systems such as Oracle, SQL Server, or SAP HANA.
• Strong SQL skills for querying, manipulating, and transforming data.
• Knowledge of data quality principles and best practices.
• Experience in implementing data quality rules and procedures.
• Strong analytical skills to identify and resolve data issues.
• Ability to troubleshoot and resolve technical problems related to data migration.
• Excellent communication skills to engage with stakeholders at all levels and work collaboratively with cross-functional teams and manage stakeholder expectations.
• Strong organizational skills to manage multiple priorities and deliverables.

Key Responsibilities:

• Analyse large datasets to identify trends, patterns and provide insights to support business decisions and strategies
• Develop and maintain interactive dashboards and reports using data visualization tools (e.g. Power BI)
• Conduct process mining to identify inefficiencies, bottlenecks and opportunities for process improvements
• Monitor data quality and ensure accuracy, completeness and consistency in management reporting
• Manage and respond to data requests from internal stakeholders, ensuring timely and accurate delivery of required insights
• Leverage data intelligence tools and methodologies to support continuous improvement in insurance operations

Who are we looking for:

• Degree Holder in Data Science, Business Analytics, Computer Science, Statistics or a related discipline
• Experience in data visualization tools (e.g. Power BI, Tableau, Qlik)
• Strong proficiency in Excel and experienced with basic SQL
• Attentive to details and committed to ensuring data accuracy
• Good verbal and written communication skills, ability to present data clearly
• Pro-active and self-motivated, able to take the initiative independently and work under minimal guidance/supervision
• Positive attitude and willingness to learn and collaborate

ENGIE Services Singapore is a leading provider of Integrated Facilities Management solutions (IFM), property management, operations and maintenance, specialized rail engineering works, sustainable solutions and FM Consultancy services. With strong presence in various counties across South East Asia, we operate across mission-critical industries - aviation, transportation, healthcare, education, government and commercial.

ENGIE understands the integrated role of facility management and the value of it can be expanded beyond the traditional approach. As a total FM, specialized engineering and sustainable real estate solutions service provider, ENGIE offers a comprehensive range of technical, digital and support services customisable to best suit your unique needs.

Job Description:

• Monitor, maintain and coordinate the operations of data centre electrical/ mechanical infrastructure and building monitoring systems.
• Conduct daily site inspections, record readings and data logging of data centre equipment to ensure proper operation and checklist verification.
• Provide 24X7 first level onsite response to any M&E incident accordingly to contractual obligation.
• Perform troubleshooting of mechanical and electrical equipment malfunctions and perform ad-hoc repair as and when necessary.
• Report operations abnormality and perform escalation with follow-up on improvement plan promptly.
• Create quotation, work orders, coordinate vendor/supplier repairs/replacement on the data centre sites.
• Adhere to data centre operations work rules, policies and procedures that include but not limited to emergency operating procedures (EOPs), emergency drill procedures, standard operation procedures (SOPs), methods of procedures (MOPs) incident management, maintenance management, vendor management and document control standards.
• Maintain proper documentation and service reports are filed and submitted to customers for auditing and tracking purposes.
• Plan the annual master planned preventive maintenance schedules and provide guidance for addition to, deletion or modification of existing maintenance routines.
• Maintain and monitor the appropriate key performance indicators (KPIs) and external service level agreements (SLA's) to measure and improve onsite operations
• Oversee the execution of planned maintenance works performed by appointed vendors/subcontractors to ensure maintenance meets satisfactory level and are in accordance with the signed contract agreement.
• Provide onsite support to customer requests, incidents, can change and problem management activities.
• Manage and handle ticket management and queue monitoring.
• Schedule weekly meetings with customer and its appointed subcontractors with proper minutes taken to review and discuss service levels, operational issues as well as planning for future work.
• Prepare customer weekly progress report and track status of deliverables.
• Prepare incident report accordingly to contractual service level agreement.
• Support yearly performance review session with customer.
• Coordinating all changes to the DC infrastructure that may affect the service levels of any other service areas within the DC premises.
• Accountable for all site inventory management such as tools, test equipment, replacement parts, materials, spare parts and consumables used and sorted at the site.
• Adherences to all quality, health & safety, environmental policies and customer house riles.
• Perform any other ad-hoc tasks associated with the maintenance, upgrading, repairs, addition or modification of the facilities, as instructed by the management.
• Ensure that all information security management system related policies, procedures and specified requirements are implemented and complied to.
• Any other tasks as assigned by the supervisor.

Requirements:

• At least a Post Graduate Diploma in Engineering (Electrical/Electronic), Engineering (Industrial), Engineering (Mechanical) or equivalent
• Minimum 3 years Data Centre facilities experience
• Operational experience with critical facility equipment/ system that includes but not limited to transformers, generators, DRUPS, UPS, PDU, Chiller System, CRAH and Fire System
• Work independently with minimum of supervision
• Analytical and problem-solving skills
• Good organizational skills with the ability to maintain all facility related documentation. Detailed and careful in submissions and reporting
• Proficient in Microsoft Office
• Has a good safety mindset and displays good WSH behaviour

Job Summary:

We are looking for a highly skilled and experienced Senior Data Professional with a comprehensive background in data engineering, data science, and analytics. The ideal candidate will be adept at building and optimizing data pipelines, analyzing large datasets, and applying advanced analytics to drive business insights. With strong expertise in data management, modeling, and visualization, this role supports data-driven decision-making across diverse domains, such as healthcare, finance, and business intelligence.

Key Responsibilities:

• Design, implement, and maintain scalable data pipelines and workflows to process large volumes of structured and unstructured data.
• Analyze and interpret complex datasets to extract meaningful insights that support strategic business initiatives.
• Develop and optimize data models, dashboards, and visualizations for effective decision-making.
• Build machine learning models and predictive analytics solutions to address business challenges.
• Collaborate with stakeholders to gather requirements and translate them into data solutions.
• Ensure data quality, security, and compliance with organizational and industry standards.
• Manage data migration, integration, and transformation processes across platforms.
• Support production environments by troubleshooting issues and optimizing system performance.
• Stay updated with emerging trends and technologies in data engineering, analytics, and machine learning.

Qualifications:

• Proven experience in data engineering, data science, and analytics.
• Strong understanding of data processing, storage, and retrieval techniques.
• Expertise in statistical analysis, machine learning, and data visualization methods.
• Proficiency in programming and scripting languages for data analysis and engineering tasks.
• Familiarity with data governance, security, and compliance frameworks.
• Excellent analytical thinking, problem-solving, and communication skills.

Preferred Skills:

• Experience with big data ecosystems and cloud-based data platforms.
• Knowledge of data testing frameworks and job scheduling tools.
• Strong domain expertise in industries like healthcare, finance, or marketing.
• Leadership and collaboration skills for cross-functional teamwork.

Education and Experience:

• Bachelor’s degree in Computer Science, Data Science, or a related field. Master’s degree is a plus.
• 7+ years of professional experience across data engineering, data science, and analytics roles.

What a Data Science Manager does at Visa:

The Data Science Manager will be the strategic orchestrator of our data and analytics ecosystem, translating complex business challenges into impactful data solutions for our clients. This role requires a visionary who can integrate business strategy with technical execution, managing entire lifecycle of data products. You will identify, prioritize, and drive data initiatives to uncover strategic insights, collaborating closely with cross-functional teams to convert raw data into actionable business value. 

Why this is important to Visa

This role will support our client’s business by driving sales growth, optimizing marketing efforts, and improving customer engagement. It offers opportunities for professional growth in data analytics, enhancing your skills with cutting-edge tools. You will collaborate with diverse teams and explore innovative solutions to make data-driven decisions.
 

Our client is actively searching for a Manager/Asst Manager, Data eXchange Unit to join their team!
If you are a dynamic individual seeking a new career opportunity, read further!

The responsibilities of this role are:

• Support and work closely with the Chief Data Officer (CDO) to develop and implement hospital's Data Strategy to enable data exploitation for meaningful and insightful decision making.
• Develop, review and update hospital's data-related policies to ensure alignment with Ministry of Health’s (MOH) and National Healthcare Group’s (NHG) data policies (e.g., MOH’s HealthTech Instruction Manual - Data Management (HIM-DM) and NHG Data Access & Sharing Policy).
• Oversee the management and maintenance of Platform for one-stop request in hospital (PorT) to facilitate data requests by hospital and NHG staff. Put in place protocol that complies with relevant data access, sharing, and security policies.
• Serve as a point-of-contact to liaise with other NHG institutions’ DXOs and external parties for data request as well as to contribute to NHG’s analytics and digitalization effort.
• Develop and implement proper data assets management standard operating procedures and workflows across the Data Life Cycle from data acquisition, fusion, access and distribution, to disposal (e.g. tracking and maintaining registries of data access, monitoring of data handling and disposal processes).
• Collaborate with relevant departments/units to build staff literacy, competency, capabilities, and knowledge in safe, efficient, and effective data exploitation and management on various platforms such as Oracle OBIEE/OAS, SharePoint, NGEMR, etc.
• Oversee the secretariat support for departmental and hospital working committees to support hospital’s digital transformation agenda and build communities of practice to share knowledge and best practices (e.g. Data Management Working Committee (DMWC) and Artificial Intelligence and Data Analytics (AiDA) Digital Innovation Technologies (DIT) committee).
• Lead change management, engagements, and communications with different levels of stakeholders, on issues pertaining to data management, data sharing, and data exploitation.

The ideal candidate will need to have the following qualities and experience:

• Degree in Computer Science, Computer Engineering, Computing in Information Systems, Information Management or Management Information Systems or related fields
• At least 5 years of relevant working experience in business data management and governance with experience in developing data strategy as a strong advantage
• Experience in handling compliance reviews or overseeing data management / IT systems is preferred
• Experience in data analytics is an added advantage
• Possess strong data and technological knowledge, covering recent topics such as data governance, data policies and data domains.
• Familiarity with public healthcare operations with working knowledge of data management, handling, and governance, and the regulatory requirements pertaining to the usage and sharing of data will be an added advantage

An exciting career awaits the right candidate! Click "Quick Apply" to register your interest now.

All applicants' CV will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be contacted.

JD:
Big Data Developer
 Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
 Experience in designing application solutions in hadoop ecosystem
 Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
 HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
 Good knowledge in data warehousing system
 Experienced in any scripting language (SHELL, PYTHON)
 HortonWorks distribution and understanding on SQL engines (Tez, MR)
 Java/RestServices/Maven experience is a value addition
 Control-M development. Monitoring Resource utilization using Grafana Tool
 Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
 Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
 Skillset:
o Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
o Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

Job Scope:

a) To support the design of data collection channels

b) To support data integration between data collection channels and dashboard

c) To support the identification of opportunities for process automation and improvements

Requirements:

a) Business Intelligence

• Proficient in Microsoft Excel, e.g., creation of databases and usage of calculations/formulas

• Familiar with the applications in Tableau

• Experience with data analysis and reporting tools

• Ability to translate raw data into actionable insights

b) Process Innovation

• Creative problem-solving skills to streamline workflows

• Knowledge of project management tools and techniques

c) Soft Skills

• Strong analytical thinking and problem-solving abilities

• Good communication skills for liaising with team members

Location: Buona Vista

Salary: $13/hour

Working Arrangement:

Contract Period: 6 months

EA License No: 96C4864

Reg. No.: R24121728 EUNICE WOO JING QI

Enhance Generative AI Accuracy:
1) Build and curate a comprehensive knowledge base to serve as a foundation for the Generative AI model.
2) Evaluate and analyse AI-generated responses to identify areas of improvement and optimize accuracy.

Response Analysis and Evaluation:
1) Identify, analyse, and assess the quality of AI-generated responses, ensuring they align with company standards and customer expectations.
2) Collaborate with the AI Development team to implement necessary adjustments to improve response quality.
Safety Scenario Establishment:
1) Develop and implement safety scenarios to mitigate the risk of inappropriate or sensitive AI responses, maintaining ethical and responsible AI interactions.

Data Set Maintenance:
1) Deconflict and curate data sets across various platforms to ensure a diverse and clean input for the Generative AI model.
2) Regularly update and refine data sets to reflect evolving language trends and user preferences.

Knowledge Base Updates:
1) Perform daily updates to the knowledge base, integrating the latest product information, industry updates, and relevant content.
2) Ensure accuracy and relevance of information provided by collaborating with product owners and subject matter experts.

Demand Analysis:
1) Engage in call listening activities to identify emerging demand topics and customer preferences.
2) Provide insights and recommendations to the AI Project Manager for enhancing AI-generated responses in response to these demands.

Collaboration with Product Owners:
1) Establish effective communication channels with product owners to continuously enhance the knowledge base and refine AI responses.
2) Actively gather feedback and insights from product owners to improve the accuracy and relevance of AI interactions.

Product Knowledge & Call Handling Trained
1) To be trained in Banking Related product knowledge and undergo training to learn how a customer service officer handles a customer over a call.
2) Standby support to be activated on adhoc basis by Workforce Management team to service calls/emails or any other functions deemed to be necessary to maintain Customer Centre’s service levels.

These are the experience and skillsets that we are generally looking for:

• Meticulous and show great attention to detail. (Important)
• Possess an analytical mindset to identify key performance metrics and evaluate the success of Gen AI initiatives. Important)
• Basic understanding of prompt engineering, data pre-processing, and data ingestion techniques in the context of Generative AI systems. (Good to have but not essential)
• Proficient in MS Office (Word, Excel, Project and PowerPoint)

Interested candidates kindly submit your updated CV in a Word Format to: [email protected] shortlisted candidates will be notify. Thank you.

• Develop and implement methods, processes, and systems to consolidate and analyze diverse, unstructured data sources, delivering actionable insights for management.
• Create and code software programs, algorithms, and automated processes to clean, integrate, and evaluate large datasets from multiple sources.
• Collaborate with business experts to enrich data and uncover meaningful insights to build practical solutions.
• Automate repetitive data tasks to improve efficiency and reduce manual intervention.
• Design data visualizations to clearly present findings and recommendations to stakeholders.
• Stay updated on the latest trends and best practices in data science, machine learning, and artificial intelligence.
• Support Global IFF Business Control with various tasks and project requirements.
• Assist with administrative duties and ad-hoc tasks as assigned by the Head of Department.

Requirements:

• Diploma in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 1–2 years of experience in a data science role; experience in a similar industry is a plus.
• Proficiency in programming languages such as Python, R, SQL, and PowerShell, with experience in data manipulation and analysis libraries.
• Familiarity with data visualization tools like Power BI and the ability to effectively communicate complex analyses to non-technical stakeholders.
• Strong problem-solving and analytical skills, with the ability to translate business needs into data-driven solutions.

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 Descriptions

• Supervise electrical installation works at construction sites, ensuring adherence to project specifications and timelines.
• Coordinate daily site activities and monitor progress to ensure quality and safety standards are met.
• Provide guidance and technical support to electricians and other site personnel.
• Review electrical plans and drawings to ensure compliance with safety standards and local regulations.
• Liaise with clients, contractors, and project managers to ensure smooth operations and resolve any issues.
• Conduct site inspections and ensure proper documentation of work performed.
• Ensure all electrical systems and equipment are installed in line with best practices and regulatory guidelines.
• Manage subcontractors and suppliers and project procurement.
• Project meetings and reviews to ensure targets are met.
• Any ad-hoc duties assigned by department head.

Job Requirements

• Diploma or Degree in Electrical Engineering or a related field.
• At least 6 years of relevant experience in electrical site supervision.
• Strong knowledge of electrical systems, wiring, and construction safety standards.
• Ability to read and interpret electrical drawings and specifications.
• Excellent communication, leadership, and problem-solving skills.
• Experience with project coordination and site management is preferred.

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