Responsibilities

● Support the business’s goal of democratization of data and data products.

● Drive audience and behavioral analytics, as well as key business metrics with associated dashboard and reporting.

● Collaborate in partnership with diverse teams such as product engineering, data science and business stakeholder teams to successfully deliver business outcomes.

● Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads.

● Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and publications to deliver innovative and game changing data products and use cases.

● Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases.

● Implement cloud-based scalable and reliable data pipelines at significant scale.

● Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes

Skills/Requirement

At least 5 years of relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles.

● Experience in data-related infrastructure deployments using Terraform Cloud.

● Experience in using Git for version and release management with knowledge in branching strategies.

● Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight.

● Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight.

● Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts.

We are looking for Data Analyst/Engineer to join a fast growing IT company!

• Exciting opportunity to work with a team of professional to deliver high quality applications
• Permanent position, positive working environment
• Salary up to $7,000 + AWS + bonus

Responsibilities:

• Develop, construct, test and maintain data architectures such as databases, data warehouses and large-scale data processing systems
• Design and develop data pipelines/systems for data modelling, mining and production
• Ensure the data architecture is in place to support routine and ad-hoc requirements of data analytics team, stakeholders and the business
• Leverage on variety of programming languages and data crawling/processing tools to make raw data clean and highly available for use in descriptive and predictive modelling
• Recommend and implement ways to improve data quality, reliability, flexibility and efficiency
• Ensure data assets and data catalogs are organized and stored in an efficient way so that information is easy to access and retrieve
• PL/SQL and SQL Tuning and optimization of newly develop and existing applications

Requirements:

• At least 3 years' working experience in data architecture, data warehousing, data processing, data modelling and ETL/ELT, familiarity with real-time streaming solutions.
• Working experience in Kubernetes-based DevOps practices such as container orchestration, CI/CD pipelines, and microservices deployment.
• Working experience in database development (Oracle SQL/PLSQL) and familiar with AWS cloud environment

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec’s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:
Contact you about potential opportunities.
Delete personal data not required at this application stage.
To withdraw consent, email [email protected].
All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Liew Chien Hui (Vivian) - R2090138
ScienTec Consulting Pte Ltd – 11C5781

About the Role

We are seeking a skilled and experienced Data Engineer to join our team. The Data Engineer will be responsible for requirement gathering, strategizing, planning, implementing, maintaining, monitoring, and reporting on various aspects of our Data Engineering and Architecture Platforms. This role involves working closely with cross-functional teams to ensure the efficient and secure handling of data.

Responsibilities

Data Domain Management

• Interpret business workflows and data requirements.
• Conduct data exploration and create entity relationship diagrams.
• Develop data models and manage ETL processes.
• Create and service data pipelines.

Data Platform Operations

• Set up, install, and manage access controls.
• Monitor and maintain data pipelines to ensure quality data outputs.
• Validate data fusion processes for safe use.
• Data Platform Upgrade and Migration:
• Design, develop, and implement robust processes and automation.
• Conduct testing (unit testing, SIT, UAT) and implementation.
• Ensure secure and efficient data fusion, exploitation, and sharing.

Documentation and Administration

• Maintain data dictionaries and workflow processes.
• Report for Data Incident Concierge (DIC) and other documentation.
• Handle paperwork for data administration, including asset management and procurement of tools.

Collaboration and Continuous Improvement

• Collaborate with partners and cross-teams to benchmark best practices.
• Drive continuous improvement in data interpretability and searchability.
• Develop and maintain tools such as Microsoft Purview.

Requirements

• Minimum 4 years of hands-on experience in data engineering, systems implementation, or equivalent roles.
• Experience in data integration, analytics, system integration, and working on data pipelines.
• Knowledge of information management practices, including data lifecycle management, data modeling, and master data management.
• Experience in gathering requirements for data warehouses or similar systems.
• Familiarity with Change Management, Risk Management, and Incident Management.
• Experience supporting relevant Government Projects and understanding Government Data Governance Standards and Regulations (e.g., IM8, PSGA).
• Experience in public health or epidemiology is advantageous.

Technical Skillset

• Proficient in PySpark, SQL, and/or Python.
• Experience with large datasets.
• Proficiency in Microsoft Azure and Power BI is advantageous.
• Agile or other Project Management Methodology certification is a plus.

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make an impact happen with a career at TikTok.

The strategy team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and user engagement, which includes:

1. Build prediction/uplift NN model to improve LIVE feature intelligence;

2. Mine and interfere with potential crowds to gain a higher ROI operation for both LIVE streamer and watcher;

3. Make detailed analysis on user data and system data to find out user experience optimization zoom;

4. Other work like user growth strategy, cold-start strategy, etc.

Requirements:

1. Responsible for data science work related to the product and operation strategy of TikTok LIVE.

2. Analyse business data in different markets, formulate targeted strategies, and evaluate strategic benefits.

3. Build insights into different strategy scenarios, use data skills to deepen scenario understanding and promote decision quality.

Qualifications

1. Mathematics, statistics, computer science related majors, have experience of internet business.

2. Excellent thinking framework and scenaios understanding ability, good at using data analysis and other means to solve business problems.

3. Experience of casual inference, evaluation framework, data mining is preferred.

4. Understanding the principle of machine learning and recommendation algorithms is preferred.

Preferred Qualification

Minimum 3 years relevant work experience from a large-scale internet business

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.

About the Role

We are seeking a highly skilled and detail-oriented Data Management Specialist to join our dynamic team. This role is ideal for individuals with a strong background in data management, analytics, and engineering, particularly within the investment and banking industries. You will work closely with diverse stakeholders to design, implement, and maintain robust data lifecycle solutions.

Key Responsibilities

• Collaborate with business users (e.g., research analysts, quantitative strategists) and technical teams (e.g., data engineers, data scientists) to develop and support data lifecycle solutions such as data onboarding and distribution.
• Validate and contribute to the design of lifecycle data solutions to ensure alignment with business and operational needs.
• Oversee day-to-day operations, including metadata collation, analysis of system operations data (e.g., data quality metrics), and data distribution service usage.
• Perform data access control operations, ensuring compliance with enterprise data governance and handling standards.
• Serve as the Center of Excellence for common data lifecycle services by defining standards, best practices, and workflow processes to improve operations and ensure compliance.
• Monitor, analyze, investigate, and resolve operational incidents while providing advisory support to users.
• Continuously identify opportunities for improvement in processes and operations.
• Build and maintain strong stakeholder relationships to support current and future data lifecycle needs.

Mandatory Skills and Qualifications

• Education: Degree in Accounting, Finance, Engineering, Computer Science, Information Technology, or a related field from a recognized tertiary institution.
• Experience: Minimum 5 years in data management, analytics, or engineering, preferably within the investment or banking industries.
• Technical Expertise:Strong knowledge of data management principles, key controls, and processes, including data integration and distribution.
  Proficiency in programming languages such as Python, Java, and SQL.
  Familiarity with data visualization tools (e.g., Tableau, Power BI) and virtualization technologies (e.g., Denodo) is a plus.
  

Skills:

• Meticulous and detail-oriented with a strong focus on operational accuracy.
• Proven ability to design and implement solutions and conduct code reviews.
• Excellent written and verbal communication skills.
• Strong interpersonal skills to interact effectively with diverse stakeholders.
• Agile and quick to learn, with the ability to adapt to changing environments.
• Strong analytical skills and a passion for solving complex problems.
• Experience with SDLC implementation methodologies and/or Agile frameworks like Scrum and Kanban.

EA License: R1873481

Company EA License: 11C4879

Company Overview:

Traveloka is a leading technology company that provides a one-stop travel and lifestyle platform for customers in Southeast Asia. Our platform offers a wide range of travel-related services, including flight and hotel bookings, activities, attractions, and more. With a mission to empower travelers with seamless experiences, we're committed to pushing the boundaries of technology and innovation in the travel industry.

It's fun to work in a company where people truly BELIEVE in what they're doing!

Job Description

About the role:

We seek a visionary and experienced Data Manager to head the Financing products analytics team. In this leadership role, you will build and manage a high-performing data team that provides data-driven insights and support to our Financing products business groups. You will be pivotal in developing and implementing data strategies that maximize user acquisition, improve conversion rates, and ensure responsible financial practices across both verticals.

Responsibilities:

• Lead and manage a team of data analysts, ensuring their skills and expertise cater to the specific needs of the Financing products team.
• Partner with Financing products commercial stakeholders (e.g., Marketing, Sales, Product) to understand their unique business objectives and translate them into actionable data requests.
• Develop and implement a unified data strategy for financing activities aligned with company objectives.
• Design, build, and maintain data pipelines and dashboards to track key performance indicators (KPIs) for user acquisition, conversion, transaction behavior, credit risk (PayLater), insurance economics, and fraud
• Conduct in-depth data analysis to identify trends, growth opportunities, and improvement areas in user acquisition, conversion, risk management, and product development (for Financing products).
• Leverage data to inform credit risk modeling for PayLater and actuarial modeling for insurance, ensuring responsible lending and product offerings.
• Communicate complex data insights in a clear, concise, and actionable way to both technical and non-technical audiences.
• Stay up-to-date on the latest data science trends and technologies relevant to the FinTech and insurance industries, and implement tools to enhance Financing products analytics capabilities.
• Foster a collaborative and data-driven culture within the Financing products teams.

‎

Requirements:

• Minimum 7+ years of experience in a data leadership role, preferably within the financial technology industry.
• Proven experience in managing and mentoring data analysts.
• Strong understanding of data analysis methodologies, including SQL, statistics, and machine learning (a plus).
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Experience working with data pipelines and cloud platforms (e.g., GCP) (a plus).
• Excellent communication and presentation skills, with the ability to translate complex data insights into clear and actionable recommendations for non-technical audiences.
• Strong leadership skills, with the ability to motivate and inspire a team.
• Strategic thinking and problem-solving skills.
• A passion for the travel industry and a deep understanding of online travel agent (OTA) business models (a plus).

‎

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

Permanent, 5days, Paya Lebar

Our client

MNC in air conditioning ventilation system solution serving high tech industry

Job Scope:

• Plan and manage HVAC projects for data centers.
• Lead project meetings and collaborate with clients, consultants, subcontractors, and internal teams.
• Review project specs, drawings, and contracts for compliance.
• Monitor site progress and address any technical or operational issues.
• Prepare schedules, reports, and project documentation.
• Oversee procurement of materials and equipment.
• Ensure workplace safety, quality, and regulatory compliance.
• Conduct site inspections and guide the project team.

Requirements:

• Degree in Mechanical Engineering or a related field.
• Minimum 5 years of experience in ACMV/HVAC or related M&E projects.
• Familiarity with HVAC systems for data centers.
• Strong project management skills.

Work location :Paya Labar

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

For better response, pls apply via job page

https://recruitmentalliance.zohorecruit.com/jobs/Careers

click job opening, click relevant position

We regret that only shortlisted candidates will be notified

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.

This internship offers hands-on experience working on data science projects for our clients. As an intern, you'll gain valuable skills in understanding client business needs, data preparation, data analysis, and using machine learning models to derive insights. You'll work closely with our clients under the guidance of experienced professionals.

Our Data Science Internship program has the potential to lead to a permanent position at our company. The minimum duration of the internship is six months.

We're looking for final year students currently pursuing degrees in Computer Science/Data Science, Statistical Mathematics, Engineering, Actuarial Science, or related fields with a strong background in data science. Proficiency in SQL and Python programming is required, and familiarity with Hadoop, Sparks, and its libraries is preferred.

Experience with Graph Databases like Neo4j or AWS Neptune is a plus.

We're seeking enthusiastic learners with strong analytical and problem-solving skills, good communication skills, and a customer service attitude. You should enjoy working in a team and be able to commit to a six-month internship.

At BioQuest, we value collaboration, teamwork, and knowledge sharing. Our culture is supportive and inclusive, with a strong emphasis on ethics and diversity. You'll have opportunities to learn about emerging technologies, receive mentorship from experienced consultants, and work in a supportive and collaborative environment. For high performers, there is an excellent career growth path.

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

The Data Center Infrastructure Operations Team forms the backbone of AWS, supporting the rapidly growing business and its customers 24/7. We are dedicated to maintaining AWS’s physical infrastructure while upholding the highest operational standards in safety, security, availability, productivity, capacity, efficiency, and cost-effectiveness. As a team member, you’ll collaborate with a diverse group of professionals, including software, hardware, and network engineers; supply chain specialists; security experts; operations managers; and other critical roles. Together, you’ll work across AWS to deliver the highest standards of safety and security while ensuring seemingly infinite capacity at the lowest possible cost for our customers.

In this role, you will be part of a team responsible for the operation and maintenance of state-of-the-art critical infrastructure facilities based in Singapore. You will collaborate with a world-class technical team, working alongside some of the brightest and most talented engineers in the data center industry. This position offers the opportunity to work with highly experienced professionals while developing your skills and advancing your career within one of the most innovative and progressive technology companies in the world.

Your responsibilities will include performing preventive maintenance on various facility equipment (such as electrical and mechanical, control, and fire-fighting systems), managing change processes, creating procedures, and overseeing vendor operations.

Key job responsibilities
• You will lead a team to plan and perform preventive and corrective maintenance of mechanical and electrical equipment’s, including but not limited to, chiller, air handling unit (AHU/CRAHU),fan coil unit (FCU), ventilation fan, split air conditioner (AC), pumps, leak detection systems, roller shutters, power distribution boards, UPS (Uninterruptible Power Supply)batteries, and generators.
• Develop site specific documents including Maintenance checklist, EOP, SOP and RA.
• Service report preparation and submission for preventive and breakdown maintenance works.
• Ensure safe keeping of hand tools and maintain good housekeeping.
• Ensure all works are carried out safely and/or in accordance with established standards, procedures & local legislation.
• Any other tasks, when required by the immediate manager.

• Preparing business and sales reports for the team and management
• Data Management using excel, power BI
• SAP and other price system operations
• Assist in the Business planning and consolidation activities
• Perform numerical analyses for management and team as and when required assist in other ad-hoc analytics projects

Job Highlights

Salary: Up to $4200 per month

Contract Duration: 12 months

Working Location: Nearest to Caldecott MRT

Working Hours: Monday to Friday, normal office hours

Job Descriptions

R Programming:

• Develop reusable R scripts for data engineering, cleaning, transformation, and analysis
• Collaborate with researchers for code quality and consistency
• Implement statistical analysis and data modeling as required

Data Dashboard Development:

• Design and build interactive Power BI dashboards
• Work with stakeholders to identify key metrics and visualizations
• Ensure dashboards are user-friendly and aligned with business goals
• Regularly update dashboards with new data and features

Knowledge Sharing:

• Conduct Power BI workshops and training
• Create documentation and user guides for dashboards and R scripts
• Present insights to both technical and non-technical audiences
• Contribute to best practices for data analysts

Administrative Work:

• Assist with data collection and management
• Participate in team meetings and project planning
• Perform ad-hoc data analysis tasks as assigned

Job Requirements

• Only Singaporean need to apply.
• Degree in Psychology, Social Science or related field.
• Experience in qualitative and quantitative research methods
• Prior experience in using R is a plus!

Interested candidate please click ‘Apply Now’. We regret to inform that only shortlisted candidates will be contacted.

Yee Kar Seng

Outsourcing Team

BGC Group Pte. Ltd.

EA Registration No.: R22107286

EA License Number: 05C3053

Main Responsibilities:

Data Compliance Leadership:

· Develop and implement a scalable data compliance (including data privacy and protection) strategy and framework in one region, (one of: Japan and Korea, USA or EU).

· Lead external local legal resources on execution of strategy and framework to ensure compliance and the highest standard.

· Ensure compliance with international data laws and advise stakeholders on regulatory developments.

Local Entity Compliance:

· Ensure that all local legal entities operate in full compliance with the laws and regulations of the jurisdictions in which they are registered or operate.

· Oversee the maintenance of local entity registration, reporting, and other statutory obligations.

· Provide guidance and counsel to local teams on governance, regulatory reporting, and compliance with local labor, tax, and corporate laws.

· Coordinate with local legal teams and external counsel to ensure compliance with region-specific regulatory requirements, including business licenses, corporate filings, and corporate governance.

· Monitor changes in local laws and regulations, ensuring timely updates and compliance adjustments across all local entities.

Secondary Responsibilities :

Commercial Legal Support:

· Support commercial legal needs, including drafting, reviewing, and negotiating contracts with vendors, partners, and other stakeholders.

· Provide legal advice on upcoming commercial strategies and initiatives.

· Translate legal requirements into actionable, business-friendly policies that integrate seamlessly into product development, marketing, and operations.

Intellectual Property:

· Provide advice on intellectual property matters, including innovations and strategies that require IP protection.

· Oversee agreements involving IP licensing and commercialization.

Risk Mitigation:

· Establish proactive measures to manage and mitigate data-related and other commercial risks.

· Ensure operational data handling, governance, and contractual arrangements are robust, reducing exposure to legal and reputational risks.

· Translate legal requirements into actionable, business-friendly policies that integrate seamlessly into product development, marketing, and operations.

Requirements:

· Bachelor’s degree in law with admission to a recognized bar. Data Privacy certifications (e.g., CIPP/E, CIPM) are highly valued but not mandatory.

· 7+ years of experience with a strong focus on data privacy, data protection, and data compliance, with additional experience in commercial legal work.

· Well-versed in privacy laws across one or more jurisdictions: the US, EU, Japan, and Korea.

· Experience with commercial contracts and/or IP law is an advantage.

· Resourceful and capable of managing big-picture strategies while drilling into granular details as needed.

· Effective in utilizing and guiding overseas resources, including external counsel.

-------------

Send me your resume via WhatsApp ❤

WhatsApp: (https://api.whatsapp.com/send?phone=6592377799)

I regret to share that only shortlisted candidates will be notified. www.dadaconsultants.com

EA Registration Number: R22108564

Data provided is for recruitment purposes only

Business Registration Number: 201735941W.

Licence Number: 18S9037

Context:

• Data Solutions for Capital Markets IT (CMI) division which manages information systems for capital markets activities which includes Front Office (FO) booking platforms, Risk Management (RM) control and regulatory reporting systems, financial product and contract valuation systems, and much more.

Job Description:

• Contribute to IT initiatives for Antaes Asia clients.
• Delivery of comprehensive business analysis to provide solutions for business needs.
• Work with the project team including product owner, senior developers, architects, BA’s to deliver business requirements and improve business processes and systems.
• Work closely with stakeholders to define requirement and various artifacts around application development or enhancement.
• Specification of business rules for regulatory reporting, business operations and transformations.
• Functional design and testing of solutions.
• Maintenance and promotion of best practices around the data dictionary of the bank.
• Interaction with developers to define implementation specs
• Interaction with other IT teams to explain and communicate on Data services
• Assisting with the daily operations through Scrum, Jira and Kanban, techniques.
• Contribute to the promotion of Antaes services on top of assistance provided to clients.

Job Requirements:

• At least Bachelor’s Degree in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies) or related Finance fields.
• At least 2 years of relevant experience (Data Solutions)
• Strong communication to bring consensus on requirements.
• Functional knowledge of financial products, capital market processes & regulatory reporting.
• Knowledge on the MIFID2/SFTR/EMIR / any APAC transaction regulatory reporting principles is desirable.
• Strong problem-solving skills with ability to think out of box.
• Excellent communications and proven documentation capabilities.
• Skilled in Data analysis using database queries (SQL/Oracle/Sybase), TSQL.

Roles and Responsibilities

• Be part of the development core for one of the 6 pillars in the Digital Transformation Development team
• Produce initial development ideas, perform PoC and deploy the product in GCP under Agile framework
• Maintain and propose new ideas o enhance team practice in product development, including GitHub/Jira/Confluence usage
• Assist in creating data mart from ONE data warehouse in GCP environment whenever necessary
• Set up ETL job and maintain data accuracy with good knowledge of ONE data structure/data latency whenever necessary
• Guidance to junior staff members in the team, building up a solid support force for data science-related product development
• Keep track of latest development of projects and provide timely reporting to the management and comprehensive review/planning on a regular basis
• Any other ad hoc duties as assigned by supervisor.

Requirements

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

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

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

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
• Location: Lakeside / Admiralty

(EA Reg No: 20C0312)

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

Only shortlisted candidates will be notified.

POSITION SUMMARY:

This role is responsible for building and maintaining a robust data foundation to drive commercial growth, operational excellence, and data consolidation within the region. Reporting to the Senior Lead, Data & Analytics and collaborating closely with the Corporate team, you will be instrumental in designing, developing, and implementing data pipelines, data models, and AI algorithms to optimize commercial performance, improve forecasting, enhance supply chain visibility, and reduce data redundancy.

The overarching objective is to transform data into actionable insights to drive business growth and efficiency. You will work closely with cross-functional teams across the region to establish and streamline data processes, ensuring data quality and consistency. Your role will involve managing and optimizing diverse data sources, including sales, marketing, supply chain, finance, customer, and operational data, to derive actionable insights for business decision-making. By harnessing the power of data and AI, you will contribute to defining the future of customer experience and driving overall business success.

KEY RESPONSIBILITIES:

• Design, develop, and maintain efficient data pipelines to extract, transform, and load data from various sources, including ERP, CRM, supply chain systems, third-party platforms, e-commerce platforms (via APIs), and omnichannel engagement platforms into a centralized data warehouse and on-premise systems.
• Identify opportunities to consolidate data sources and reduce redundant data subscriptions, including from omnichannel engagement platforms.
• Develop and maintain a data catalogue to improve data accessibility for commercial teams and enhance data-driven insights from omnichannel customer journeys.
• Create and manage master data related to products, customers, suppliers, inventory, and third-party data to ensure data consistency and accuracy for commercial analysis and data consolidation efforts, including data from omnichannel engagement platforms.
• Develop and implement data models to support sales forecasting, customer segmentation, pricing optimization, and other commercial initiatives while aligning with the company's data consolidation strategy and leveraging data from omnichannel engagement platforms.
• Build and maintain a scalable and secure data infrastructure to accommodate increasing data volumes and variety to support commercial growth, data centralization, and integration of omnichannel engagement data across both cloud and on-premise environments.
• Collaborate with commercial teams and other departments to identify data-driven opportunities, including leveraging third-party data insights and data from omnichannel engagement platforms, and translate business requirements into actionable data solutions that contribute to data consolidation.
• Develop and implement a strategy to create a unique customer identifier across all omnichannel touchpoints.
• Identify and prioritize new data sources within the region, including data from emerging omnichannel engagement platforms, to enhance commercial intelligence and support business growth while considering opportunities for data consolidation and cost reduction.
• Conduct exploratory data analysis, including analysis of third-party data and data from omnichannel engagement platforms, to identify patterns and trends that can drive revenue growth, improve profitability, and inform data consolidation efforts.
• Ensure data quality and integrity, including validation of third-party data and data from omnichannel engagement platforms, through data profiling and cleansing to support accurate commercial reporting and data consolidation initiatives.
• Optimize data pipelines and query performance to handle diverse data sources, including data from omnichannel engagement platforms, efficiently and enable timely commercial insights while maximizing data utilization across both cloud and on-premise environments.
• Provide technical support to commercial teams and data analysts in utilizing data-driven insights, including those from omnichannel engagement platforms, to improve business performance and contribute to data consolidation goals.
• Collaborate with the Corporate team on data strategy, standards, and best practices to align regional data initiatives with overall commercial objectives, data consolidation efforts, and the effective utilization of omnichannel engagement data.
• Design, develop, and deploy AI models on-premise to address data privacy and security concerns.
• Manage data governance and compliance requirements for both cloud and on-premise data environments.

KEY REQUIREMENTS:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field.
• At least 3 years of experience in data engineering, including data ingestion, transformation, and modeling, with a focus on integrating diverse data sources across cloud and on-premise environments. Experience with pharmaceutical industry data and regulations is a plus.
• Strong proficiency in SQL and data warehousing concepts for both cloud and on-premise platforms.
• Experience with Python for data manipulation and analysis, including API integration and model development.
• Experience with on-premise data management and security best practices.
• Understanding of cloud-based data platforms (e.g., AWS, GCP, Azure) and on-premise data infrastructure. Experience in Google Cloud Platform is preferred.
• Knowledge of supply chain management principles and processes is preferred.
• Able to process datasets in Mandarin language, and to interact and work closely with Mandarin- speaking stakeholders.
• An innovative mindset combined with an agile way of working and adaptability to a fast-paced environment.
• Strong analytical and problem-solving skills.
• Strong documentation skills.
• Excellent communication and interpersonal skills - Ability to communicate with both technical and business teams.
• Strong time management and organizational skills - Ability to manage multiple projects and prioritize tasks.
• Attention to detail and accuracy.
• Ability to work effectively both independently and as part of a team - Ability to work cross-functionally and across local markets within APAC region.
• Able to commit for 1 year contract.

Responsibilities :

• Understands the commercial cost/financial/budget impact of decisions to be taken, for any products/solutions to be developed, considering the overall impact to a customer proposal and recommending the appropriate solutions

• Participate in deep architectural discussions to ensure solutions are designed for successful deployment.

• Design of solution offerings including services, support, training (classroom, roundtables, webinars). Detail definition of Solution Components, Scope of Work, Deliverables, Effort Sizing and Pricing.

• Implementation planning and delivery for Proof Of Concepts (POC), Migration Services & Deployment Services.

• Work closely with the Sales team to provide full presales assistance in support of the successful achievement of sales targets while adhering to cost of sales objectives

• Self-sufficiency in leading pre-sales activities aiming to close sales opportunities.

• Achieving reliable, timely and high-quality design and deployment work.

• Any other duties as assigned by management.

Requirements :

• Minimum 2 years of hands-on experience as a consultant with pre-sales and implementation experience.

• Minimum 3 years of solution design and/or hands-on implementation experience as a Systems Engineer.

• Wide expertise of ICT field and systems, network, storage, virtualization, and/or security.

• Experience in building and migrating applications, software and services.

• Direct experience with Cisco routing/switching, wireless LAN controller, software defined Network, Load balancer (Netscalers).

• Motivated, self-starter, with strong presentation, communication, problem solving skills.

• Ability to address, persuade and interact with senior and executive level positions as well as all levels of system end-users.

• Knowledge of Competitive Products & Technology.

• In-depth knowledge of Implementation methodologies and best practices.

Qualification :

• University Degree in Computer Science or Computer Engineering or related field.

• At least 2 years’ experience in major IT Integration / User Interaction projects involving the whole business process.

• Fluency in English.

Working Location : East Central

**We regret that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**

We are seeking a skilled AWS Data Engineer to join our team and support our data initiatives within the Singapore Public Sector. The ideal candidate will have extensive experience in ETL processes, data loading, and data management using AWS services.

Responsibilities

• Perform end-to-end data loading using AWS Glue and Lake Formation.
• Develop and manage ETL workflows using AWS Lambda, Step Functions, PySpark, and Python scripts.
• Load data into AWS RDS and manage data storage in S3 Buckets.
• Provide data for BI reporting using Tableau, leveraging data from S3 Buckets and RDS.
• Implement and manage AIML workflows in AWS using SageMaker, including model building and deployment.
• Utilize AWS Bedrock for advanced data processing and analytics (knowledge and experience with AWS Bedrock is a plus).
• Install and configure native AWS services as required.

Requirements

• Proven experience with AWS Glue, Lake Formation, Lambda, Step Functions, PySpark, and Python.
• Strong understanding of AWS RDS, S3 Buckets, and data management best practices.
• Experience with BI reporting tools, particularly Tableau.
• Familiarity with AIML workflows and model building using AWS SageMaker.
• Knowledge of AWS Bedrock is a plus.
• Experience with the installation and configuration of AWS native services is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Experience

• Previous experience working within the public sector.
• AWS certifications related to data engineering and machine learning.

About Cognizant

Cognizant (NASDAQ-100: CTSH) is one of the world's leading professional services companies, transforming clients' business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital at www.cognizant.com or follow us @Cognizant.

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Mumbai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make an impact happen with a career at TikTok.

The strategy team's mission is to use model-driven and data-driven ways to promote core indicators on LIVE revenue and user engagement, which includes:

1. Build prediction/uplift NN model to improve LIVE feature intelligence;

2. Mine and interfere with potential crowds to gain a higher ROI operation for both LIVE streamer and watcher;

3. Make detailed analysis on user data and system data to find out user experience optimization zoom;

4. Other work like user growth strategy, cold-start strategy, etc.

Requirements:

1. Responsible for data science work related to the product and operation strategy of TikTok LIVE.

2. Analyse business data in different markets, formulate targeted strategies, and evaluate strategic benefits.

3. Build insights into different strategy scenarios, use data skills to deepen scenario understanding and promote decision quality.

Qualifications:

1. Mathematics, statistics, computer science related majors, have experience of internet business.

2. Excellent thinking framework and scenarios understanding ability, good at using data analysis and other means to solve business problems.

3. Experience of casual inference, evaluation framework, data mining is preferred.

4. Understanding the principle of machine learning and recommendation algorithms is preferred.

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.

Responsibilities

• Perform end-to-end data loading using AWS Glue and Lake Formation.
• Develop and manage ETL workflows using AWS Lambda, Step Functions, PySpark, and Python scripts.
• Load data into AWS RDS and manage data storage in S3 Buckets.
• Provide data for BI reporting using Tableau, leveraging data from S3 Buckets and RDS.
• Implement and manage AIML workflows in AWS using SageMaker, including model building and deployment.
• Utilize AWS Bedrock for advanced data processing and analytics (knowledge and experience with AWS Bedrock is a plus).
• Install and configure native AWS services as required.

Requirements

• Proven experience with AWS Glue, Lake Formation, Lambda, Step Functions, PySpark, and Python.
• Strong understanding of AWS RDS, S3 Buckets, and data management best practices.
• Experience with BI reporting tools, particularly Tableau.
• Familiarity with AIML workflows and model building using AWS SageMaker.
• Knowledge of AWS Bedrock is a plus.
• Experience with the installation and configuration of AWS native services is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Experience

• Previous experience working within the public sector.
• AWS certifications related to data engineering and machine learning.

We are looking for a experienced Business Data Analyst to manage projects on Data Quality, Data Discoverability, Data Ownership and Data Access for a reputed bank.

Mandatory Skill-set

• Bachelor's degree in Computer Science, Banking, or a related field;
• At least 3 to 5 years of proven experience in data issue management and data profiling within the banking industry;
• Demonstrated experience working as a Business Analyst, and understanding of banking products and processes;
• Strong hands-on expertise in SQL;
• Solid understanding of data quality principles;
• Excellent communication skills, with the ability to simplify and clearly explain complex data issues;
• Proficient in creating well-structured presentations with clear narratives and data analysis tailored to various audiences;
• Ability to work independently with minimal supervision, understanding business needs, and driving initiatives and cross-functional collaboration forward;
• Adaptable and thrives in a fast-paced, high-pressure, and ambiguous environment, with a strong sense of intellectual curiosity.

Desired Skill-set

• Hands-on experience in Python.

Responsibilities

• Facilitate alignment across cross-functional teams to drive measurable improvements in data quality;
• Ensure proper follow-up, status reporting, and timely resolution of issues raised in the Data Issues Log for both Singapore and overseas locations;
• Define critical data attributes and establish data quality requirements;
• Ensure data is fit for both operational and strategic use;
• Drive and foster cross-collaboration with RMG units on Data Governance matters;
• Host regular RMG Data Quality forums, including preparation of meeting materials, and represent RMG at Group-level Data Issue meetings;
• Organize cross-department discussions to address and resolve data issues;
• Collaborate with RMG stakeholders to review and enhance data quality monitoring reports and processes;
• Participate in data ownership discussions and ensure proper follow-ups;
• Assist in the review and setup of data access for users;
• Lead data management-related reviews, including BCBS239 annual reviews.

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

Company Overview:
A global leader in logistics and supply chain solutions is seeking a skilled and innovative Data Scientist – Business Insights & Automation to join our forward-thinking team. This role offers a unique opportunity to blend data science expertise with process automation to drive meaningful improvements across our operations.

Key Responsibilities:

• Data Analysis & Automation: Design, develop, and program methods to consolidate and analyze unstructured and diverse data sources, transforming them into actionable insights and automated solutions.
• Algorithm & Software Development: Develop algorithms, software programs, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
• Partner with Stakeholders: Collaborate with business experts to enrich data and deliver meaningful insights that inform strategic decision-making.
• Streamlining Operations: Automate repetitive data tasks, minimizing manual intervention and optimizing workflows to enhance efficiency.
• Data Visualization: Create compelling visualizations to effectively communicate findings and actionable recommendations to stakeholders.
• Stay Current: Keep up-to-date with industry trends and advancements in data science, machine learning, and artificial intelligence to ensure best practices.
• Cross-Functional Support: Provide assistance in administrative matters, global project handling, and other ad-hoc tasks as assigned by management.

Qualifications:

• Minimum diploma in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• Minimum 2 years of experience in a data science role
  Experience in the logistics or supply chain industry is a plus.
• Proficiency in programming languages such as Python, R, SQL, and PowerShell, with expertise in data manipulation and analysis libraries.
• Experience with data visualization tools (e.g., Power BI).
• Strong understanding of automation techniques and tools to streamline processes.
  
• Strong analytical and problem-solving skills with an ability to translate complex business challenges into data-driven solutions.
• Effective communication skills for presenting findings to non-technical stakeholders.
• Strong knowledge of Microsoft Office Suite.

To Apply, kindly click on the "APPLY NOW" button.

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Chong Kar Ming (John) (R21101412)

Responsibilities:

• Perform policy compliance checks on publisher sites.
• Leverage SQL to extract data and uncover valuable insights from complex datasets.
• Revamp existing dashboards or create new ones to monitor real-time data trends. Share actionable insights derived from the data analysis, empowering team members to make informed decisions.
• Research and analyze emerging abuse patterns and trends.
• Identify and develop innovative methods for detecting abuse effectively.
• Identify and develop solutions for scalable enforcement on non-compliant publisher inventory.
• Work directly with other members of your team to remediate complex abuse issues.
• Enhance our operational workflows via process improvements.
• Present a unified enforcement experience to external publishers and support internal sales teams.

Desired Candidature:.

• Atleast 1 year experience writing SQL python scripting
• At least 2 years of work experience in a trust and safety role.
• Ability to work independently and complete projects from beginning to end and in a timely manner.
• Ability to navigate and influence cross-team stakeholders.
• Comfortable making tough decisions, balancing competing interests, negotiating with stakeholders and using creative problem solving skills in a fast-paced environment.