Description

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.

• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.

• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.

• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.

• Monitor and optimize data workflows for performance, reliability, and scalability.

• Document data processes and ensure best practices in data engineering are followed.

• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirements

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.

• Proficiency in Elasticsearch for search and analytics applications.

• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.

• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

• Strong SQL skills and experience with relational databases.

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Technical Operations Data Analyst

• 12 months contract
• Hybrid work location
• Work location: CBD

The Opportunity

• Review operational issues and determine if a technology (product) solution is required or a process correction needs to be made. Identify opportunities to improve business practices and drive internal process improvements.
• Track and report on operational performance for the global team and conduct data analysis regularly to identify trends and areas of improvements.
• Run daily standup meetings and monitor and manage daily customer support tickets for prioritization and triage.
• Assist in creating Business Review content for leadership meetings.
• Ensure the team adheres to established processes and protocols while staying informed about any updates or changes. Proactively highlight any deviations that affect our quality of support both internally and with vendors.
• Identify and address any roadblocks or issues that may impact operations
• Update status page for product issues when needed
• Support daily hand-over activities between different regions
• Coordinate with the team and prepare regional monthly meeting content
• Coordinate customer notifications on expiring API product version
• Document learnings and share operational insights to cross-functional teams

Your Background

• 2-4 years of experience providing operations support in a technical environment with strong understanding of Operational Metrics and Key Performance Indicators to measure success of a team.
• Demonstrated creative problem-solving approach and experience in using data visualization technologies to help drive business insights.
• Experience in building advanced SQL queries and dashboards to find operational trends and root cause by dice and slicing data.
• Customer-oriented mindset with demonstrated understanding and empathy
  High attention to detail, with an ability to execute standard workflows while also adapting appropriately to business and process changes when necessary
• Demonstrated ability to multitask and prioritize in a fast-paced environment
• Collaborative team player with "get it done” attitude
• Excellent interpersonal skills, including relationship building and collaboration within a diverse, cross-functional team.
• Excellent verbal and written communication skills and demonstrate attention to detail

Interested parties please click "Apply Now" or contact May Anne Ramos (EA Reg no: R1110127) at [email protected] for more information.

POSITION GENERAL DUTIES AND TASKS :
Skillset

- Up to 9 years of IT experience & 5+ Years on Hadoop and K8s Eco Systems

- Last 3 years of relevant experience in banking/financial services industry

- Demonstrable analytical skills with deep knowledge of Big Data Ecosystem in a Production Support Environment.

- Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka, Kudu, Flink, Ozone, Kafka and Streaming.

- Strong SQL, Python, Java and Unix shell scripting

- Incident, problem, and service Outage management experience is Plus.

- Good Communication and Articulation Skills



Roles/Responsibilities

- Strong in data engineering concepts and programming

- Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.

- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

- Strong analytic skills related to working with unstructured datasets.

- Experience in supporting data transformation, data structures, metadata, dependency and workload management.

- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

- Provide operational support and ensure SLI of Applications

- Troubleshoot Batch Issues & root causes to Mitigate Impacts to SLA

- Proactively Identify and Identify opportunities for preventive Maintenance

- Perform Administration & Optimization to achieve of Optimal System Performance

- Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to Established Standards

- Recommend Design and Operational Optimizations

- Respond on time to the queries raised by various business units

- Provide Timely updates (Status, Progress, Issues, Resolutions) to Business Stakeholders

- Work with Project/Enhancement Teams to Review, Transition for Run Team

- Participate in Disaster Recovery and Business Continuity exercises

- Support relevant software/platform/database upgrade for the systems

- Knowledge of Troubleshooting Core Java, Python, Scala spark batch, API and streaming applications

- Support data APIs, data science ML applications running on Kubernetes platform.



Datawarehouse Support Engineer (EDW)

The support specialist will be a techno functional support team member for the Enterprise Datawarehouse (EDW) under IT BAU team.

He/she is responsible for ensuring system availability and timely deliverables for datamarts for various business unit like Finance, regulatory, Campaign.

The support specialist, as the analyst expert within the IT team, will be the support staff who needs to closely co-ordinate and work with various team like Tech Infra, application services, solutioning, project and business units in the bank. He/she follows up to resolve issues reported by users and performs impact analysis related projects/enhancements that will impact the EDW.



Roles/Responsibilities

- Responsible to provide BAU support for Enterprise Datawarehouse

- Responsible to provide operational support and ensure SLI of system availability, batch deliverables

- Respond on time to the queries raised by various business units

- Provide timely updates regarding production status and progress of issue resolution

- Fine tune applications and systems for high performance and higher volume throughput

- Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to IT standards

- Perform impact analysis of enhancements/projects that will impact supported systems

- Identify the underlying problems, analyse the root causes, provide possible solutions/fixes, and respond to users within SLA

- Support relevant software/platform/database upgrade for the systems

- Work with delivery team for smooth transition from projects/enhancements to BAU Mode

- Incident, problem, and service outage management experience

- Participate in Disaster Recovery and Business Continuity exercises

- Able to support relevant software/platform/database upgrade for the systems

- Server Performance, capacity, utilization monitoring and Health monitoring

- Collaborate with diverse cross functional teams within IT and Business to Independently drive outcomes

- At least 3+ years of relevant experience in banking/financial services industry

- Experience with Teradata FSLDM and data mapping

- Hands-on technologist, strong in SQL, UNIX and Teradata tools and technologies

- Experience in designing high throughput fault tolerant data pipelines for Batch (ETL/ELT)

- Experience in GL Data reconciliation between systems, datamarts & report and Knowledge of the ledger balance reporting is an added advantage

- Experience in Performance Tuning on Teradata or other MPP data pipeline

- Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka is a plus

As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match.

RESPONSIBILITIES

• Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems
• Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve
• Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way
• Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
• Design, build and launch new data models and visualizations in production, leveraging common development toolkits
• Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries
• Support existing processes running in production and implement optimized solutions with limited guidance
• Define and manage SLA for data sets in allocated areas of ownership

MINIMUM QUALIFICATIONS

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 2+ years of work experience in data engineering
• Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

PREFERRED QUALIFICATIONS

• Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy
• Experience working with terabyte to petabyte scale data

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

Role

a) Provide input to the development, maintenance and promulgation of the blueprints,
roadmaps and reference architectures for Data Analytics infrastructure and services.
(b) Perform analysis of new requirements and develop solutions and manage solution
delivery through acquisition or change control.
(c) Enhance our cloud capability by creating and implementing cloud application
patterns.
(d) Develop and implement ways to move apps and workloads to the cloud.
(e) Work closely with business leads and system owners to understand solution
requirements and identify architectural patterns.
(f) Write and develop cloud automation playbooks for managing and scaling containers,
hosts, cloud services, and applications.

Requirements
(a) Degree/master’s in computer science, Information Technology, Computer
Engineering or equivalent.
(b) Minimum eight (8) years’ experience in providing data warehouse or advanced
analytics solutions.
(c) Experience with
• databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Databricks)
• data repository design (e.g. operational data stores, dimensional data stores,
data marts, datalakes)
• data interrogation techniques (e.g. SQL, NoSQL).
• structured and unstructured data analytics.
• statistical computing programming language (e.g. R, Python).
• data quality tools and processes.
• data transformation and terminology equivalence mapping.

(d) Experience in data modelling for analytics (e.g. star schemas, snowflake schemas).
(e) Deep understanding of analytical models and methodologies – especially in the
context of health analytics for clinical use and clinical safety (e.g. data mining,
predictive analytics).
(f) Experience with data acquisition tools (e.g., ETL, real-time data capture, and change
data capture).
(g) Thorough understanding of ML, data analysis, data visualization, and event-driven
architecture.
(h) Exposure to the development, evolution and adherence to the architectures relevant
to the domain.
(i) Ability to work with a wide variety of report generation software (e.g. Power BI,
Tableau and OBIEE) and generate a wide variety of outputs (dashboards, scheduled
reports).
(j) The ability to work towards strict and conflicting deadlines, be able to plan and
prioritise in an environment with multiple stakeholders.
(k) Good interpersonal skills, a detail-oriented & flexible person who can work across
different areas within the team.
(l) Familiarity or experience with health informatics would be preferred.
(m) An understanding of healthcare data governance, data acquisition and data
management would be an advantage.
(n) Experience in interacting with analytics stakeholders (economists, statisticians,
clinicians, policy makers) on a business or domain level would be preferred.
1.1.3 Cloud Exposure (AWS):
(a) Strong knowledge and practical experience with AWS.
(b) Familiarity with modern cloud application architecture.
(c) Exposure to cloud managed services and microservices like Function as a Service,
Containers, and managed databases.
(d) Experience with setting up load balancers, cloud networks, and virtual servers.
(e) Infrastructure as code (IAC): Cloud formation, terraform.
(f) AWS identity and access management, integration with active directory.
(g) Familiarity with security and access control measures to control privileged access to test
and production environment.
(h) Certification in AWS Cloud Practitioner or AWS Architectation, terraform."

Job Description:

A Databricks Engineer is responsible for leading the migration of on-premises data warehouses to Databricks, designing robust data architectures, and ensuring seamless data integration and governance. The role involves implementing cloud-based solutions, optimizing data workflows, and extracting insights while maintaining data security and compliance standards.

Key Responsibilities:

· Lead end-to-end data migration projects from on-premises environments to Databricks with minimal downtime.

· Design and implement solutions on Databricks within AWS environments, adhering to functional and non-functional requirements.

· Configure Databricks clusters, write PySpark code, and develop CI/CD pipelines for deployment.

· Apply optimization techniques like Z-ordering, auto-compaction, and vacuuming for enhanced performance.

· Process near real-time data using Auto Loader and DLT pipelines.

· Optimize AWS and Databricks resources for performance and cost efficiency.

· Stay updated with advancements in AWS, Databricks services, and data engineering practices to recommend improvements.

· Implement engineering methodologies, standards, and best practices.

Required Skills:

Experience:

· Minimum 5 years in data engineering, with expertise in Databricks, AWS/Azure services, or Informatica IDMC.

Technical Proficiency:

· Strong knowledge of Databricks, Python, PySpark, SQL, and NoSQL databases.

· Hands-on experience with Apache Spark, Hadoop, and cloud-based data architectures.

· Proficiency in building data pipelines using Python, Java, or Scala.

Data Management:

· Expertise in data modelling, schema design, and data governance.

Optimization Skills:

· Familiarity with techniques like Z-ordering and compaction.

Certifications:

· Databricks certifications and Informatica certifications (preferred).

Soft Skills:

· Excellent analytical, problem-solving, communication, and collaboration abilities.

Preferred Skills:

· Experience with containerization and orchestration tools like Docker and Kubernetes.

· Knowledge of data visualization tools like Tableau or Power BI.

· Familiarity with DevOps principles, CI/CD pipelines, and version control systems like Git.

· Understanding of data cataloguing tools and data governance, especially Informatica IDMC.

This role demands a proactive approach to implementing innovative solutions and optimizing workflows to ensure high-performance data engineering.

• Innovative Tech: Work with advanced lab equipment and cutting-edge solution
• Career Growth: Opportunities for skill development and professional advancement

About Our Client

Client is a leading provider of laboratory equipment and solutions, specializing in a wide range of scientific instruments, tools, and services for research, testing, and analysis. It serves industries such as pharmaceuticals, biotechnology, life sciences, and academia, offering high-quality products designed to support scientific innovation and advancement.

Job Description

1. ERP Implementation & Management: Lead large ERP projects (SAP, Oracle) and manage the transition to new systems. Oversee integration of ERP solutions across business functions, ensuring smooth migration and alignment with central business objectives.
2. Data Architect: Oversee data collection for analysis and design data architectures, including building data warehouses and managing data leakage prevention. Lead data-driven initiatives and ensure secure, structured data flows.
3. Cloud Migration: Lead the migration to Azure (Microsoft-centric but flexible), ensuring seamless integration and scalability of cloud solutions.
4. IT Roadmap & Budgeting: Develop and manage IT roadmaps, aligning with business goals, and oversee IT budgets to ensure cost-effectiveness and resource allocation.

Soft Skills: Must be hands-on, proactive in driving projects, and skilled in setting up meetings, timelines, and IT initiatives. Strong attention to detail.

The Successful Applicant

This candidate should be someone who can effectively manage both the technical and operational aspects of IT, lead teams, and drive major projects to completion while aligning technology with business outcomes with following tech skills:

• ERP Expertise: Proven experience leading large ERP implementations (SAP, Oracle) and integrations.
• Data Architecture Skills: Strong background in building data warehouses and managing data flows.
• Cloud Migration: Hands-on experience with Microsoft Azure migration projects.

What's on Offer

Opportunities for professional development and advancement within a dynamic, innovative environment with Cutting-Edge Technology.

Contact

Miao Xia Neo (Lic No: R21103441/ EA no: 18C9065)

Quote job ref

JN-112024-6598651

Phone number

+65 6416 9828

Michael Page International Pte Ltd | Registration No. 199804751N

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gQ7hhN4j

• Support from business stakeholders to invest in data
• Opportunity to lead Business transformation through data

About The Company

Our Client is a market leader within their industry. They have a well-established presence of more than 30 years. With rapid expansion plan, they are now looking for a new Data Analyst / BI Analyst PowerBI SQL MDM ) to join their team.


About the job

• Engaging with business stakeholders, gathering requirements and translating them into technical (analytics) specification. Objective is to create feasible insights to business stakeholders to make informed decisions
• Working with business users (Sales, marketing, Finance/Accounting, Supply chain and etc) to develop reports and dashboards to increase revenue, improve and reduce manual procedures
• Gathering, managing and analysing data from multiple sources to provide insights to business through determining historical demand trends and forecast future demand requirements.
• Manage the global lifecycle of master data processes, including data creation, validation, and deactivation for ERP and CRM systems.
• Develop and enforce data governance policies and procedures for maintaining data in the respective databases.
• Ensure data quality and integrity across all systems.
• Recommend or support process improvements and best practices in data management.
• Perform regular audits and quality assessments of databases.
• Address and resolve data-related issues and discrepancies within the systems.
• Maintain comprehensive documentation for data management processes and policies.
• Oversee data migration and standardization efforts within the organization.

Skills And Experience Required

As a successful applicant, you will have at least 2 years of experience in data analytics/ Business intelligence ( Power BI). Exposure to SQL is required for this role. proven track record in engaging with business stakeholders is required for this role.

Whats On Offer

This is an excellent opportunity to join a leading end user environment with opportunity to engage with senior business stakeholders across Asia. You will have the opportunity to lead business transformation using data within the organisation.

To apply, It will be great if you could share your CV to [email protected]. Alternatively, you can apply at https://lnkd.in/gQ7hhN4j (EA: 94C3609/ R1219669)

Build a career with confidence

Carrier Global Corporation, global leader in intelligent climate and energy solutions is committed to creating solutions that matter for people and our planet for generations to come. From the beginning, we've led in inventing new technologies and entirely new industries. Today, we continue to lead because we have a world-class, diverse workforce that puts the customer at the centre of everything we do.

Key Responsibilities:

The Data Center Business Development Leader (DC BD) is a newly created role responsible for growing commercial equipment, controls and service sales with specific focus on expanding our Data Center customers. Your extensive knowledge about Data Center products along with exposure in the HVAC industry will help drive our business objectives to deliver end to end sustainable, intelligent climate and energy efficiency solutions for our customers.

The ideal candidate will possess a deep understanding of data center solutions and have a proven track record in sales and business development. This role will focus on identifying market opportunities, engaging customers, managing accounts, and overseeing the bidding process for data center cooling solutions.

• Market Mapping: Identify and analyze market opportunities for data center cooling solutions in Vietnam, focusing on customer needs and industry trends.
• Customer Engagement: Foster relationships with key stakeholders, including colocation providers, hyperscalers, and enterprise accounts, to understand their requirements and tailor solutions accordingly.
• Account Management: Manage existing customer accounts, ensuring high levels of satisfaction and retention while driving new business opportunities.
• Bidding Process: Lead pre-bid activities, develop competitive proposals, and participate in tender submissions to secure new contracts.
• Negotiation and Closure: Negotiate terms and conditions with customers to finalize agreements and achieve revenue targets.
• Cross-Functional Collaboration: Work closely with internal teams, including engineering, operations, and regional Centers of Excellence (CoEs), to align strategies and support customer needs effectively.
• Sales Strategy: Develop and implement effective sales strategies to achieve business goals and enhance market presence

Requirements

• Minimum of 7 to 10 years of experience in sales and marketing of data center solutions and products.
• Proven track record in managing accounts at a country level, particularly within the data center industry.
• Strong analytical and problem-solving abilities.
• Excellent communication and interpersonal skills to engage with diverse stakeholders.
• Proficiency in negotiation and closing sales effectively.
• Ability to work independently as an individual contributor while collaborating with cross-functional teams.
• Familiarity with data center cooling technologies and solutions.
• Experience in working with plan and specification teams.
• You are eager to have a high degree of ownership, directly framing and influencing strategic decisions.

Benefits

We are committed to offering competitive benefits programs for all of our employees, and enhancing our programs when necessary.

Our commitment to you

Our greatest assets are the expertise, creativity and passion of our employees. We strive to provide a great place to work that attracts, develops and retains the best talent, promotes employee engagement, fosters teamwork and ultimately drives innovation for the benefit of our customers. We strive to create an environment where you feel that you belong, with diversity and inclusion as the engine to growth and innovation. We develop and deploy best-in-class programs and practices, providing enriching career opportunities, listening to employee feedback and always challenging ourselves to do better. This is The Carrier Way.

Join us and make a difference.

Apply Now!

Mastercard is a technology company in the global payments business. We connect consumers, financial institutions, merchants, governments and businesses worldwide and enable them to use secure and convenient electronic forms of payment.

Join the industry’s most passionate, motivated & engaged global team - Our employees are encouraged to drive innovation every day in support of a more connected world – A World Beyond Cash.

Overview
The Data Strategy & Management organization (Chief Data Office) is responsible for the strategy, acquisition, evaluation, and responsible use of all types of data and data capabilities that can be utilized for innovation by a wide range of Mastercard product teams.

The Vice President, Data Strategy, Asia Pacific (AP) will be responsible for understanding the data and AI landscape across the AP region, identifying data needs and implementing appropriate data strategies. The role provides a unique opportunity to work across the different business verticals in the region, understanding how data is used in the region’s specific products and solutions. It requires an individual who is strategic and analytic, who understands data and AI, can network and collaborate across business teams and can communicate complex concepts to various business and technical teams

Key Responsibilities
> Drive data design methodology for new products and services including determining data requirements for new products and enablement of business strategies, documenting Data Briefs, Data Flows, and data material as required by the product management process
> Translate the region’s business strategy into data and AI strategy and related requirements for its customer relations, as well as its products and solutions, and identify related data gaps and required remediation
> Develop frameworks to define parameters of the region’s collective use and disclosure of data, taking into consideration the data, AI, operational, reputational and partner-related requirements for the business
> Translate impacts of new laws and regulations impacting data and AI into required operational and procedural changes to products and services.
> Collaborate with legal, privacy, AI Governance and regulatory teams to review data assets and proposed use cases of data to ensure alignment with policies and procedures
• Serve as a subject matter expert on internal and third-party data to support product development efforts that leverage that data, ensuring data standards and practices are adhered to
• Work with data platforms and TECH teams to define required changes to technology platforms resulting from business strategy and new products
• Develop educational material and provide training as needed on responsible AI, data usage and data literacy
• Serve as an expert to the rest of the organization on Mastercard data and AI capabilities and assets to enable other business units to leverage those capabilities and assets to the extent practical and allowed under relevant laws and licenses.

All About You
• Advanced experience working with data products, either in acquisition, development, governance, or evaluation
• Strong understanding of data analytics and AI / Gen AI
• Ability to communicate to internal and external stakeholders about the value of data; strong written and oral communication skills; ability to present complicated concepts in a clear and concise manner
• Exceptional interpersonal skills with proven experience in relationship building and partnering. Must work well in both team and individual settings and must be able to work with a geographically dispersed team
• Ability to create strategies and plans that define how data and AI can be utilized to support an organization’s overall business strategy, how that data is organized and governed inside an organization
• Motivated self-starter with ability to excel at multi-tasking in a fast-paced environment and comfortable working under your own initiative
• Data management or data analytics experience in the payments industry preferred

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow should possess relevant experience and will be conducting research on Data Security for LLM systems and work on Formal Methods Agents based on LLM.

Only shortlisted candidates will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and good publication record
• Strong programming skills

• Solid understanding of data analysis tools and frameworks relevant to financing products
• Strong Communication skills
• Experience working for fintech/payment/lending pillars

about the company

My client is a leading Southeast Asian technology company founded in 2010. They are seeking a Senior Data Manager (Fintech/Payment/Lending) to drive impactful decision-making at scale and to influence multiple business lines.

about the job

• Conduct in-depth data analysis to identify trends, growth opportunities, and areas for improvement in user acquisition, conversion, risk management, and product development.
• Build and refine credit scoring models and actuarial models for insurance to enhance the company product offerings.
• Collaborate with local Financial Government and ensure regulatory compliance.
• Communicate complex data insights to technical and non-technical stakeholders in a clear and actionable manner.
• Stay updated on the latest data science trends and technologies, applying them to improve analytics capabilities for Financing products.
• Lead and mentor a team of 7 data professionals based in Indonesia, fostering a collaborative, data-driven culture.
• Work closely with stakeholders across the organization to deliver impactful, data-informed strategies.

successful candidate

Proven experience in credit scoring and risk modelling within the lending/payment/FinTech industry. Strong hands-on technical skills, with 80% of the role focused on direct contributions.

Experience managing a small team (up to 20% of the role is people management). Expertise in stakeholder management and a proven ability to liaise with regulatory bodies such as OKJ.

Solid understanding of data analysis tools and frameworks relevant to financing products.

whats on offer

The permanent role for Senior Data Manager (Fintech/Payment/Lending) will pay a salary range of $ 12,600 - 14,200 plus perks from the company. This is an opportunity for join a market leader that has grown year on year.

To apply online please use the 'apply' function, alternatively you can contact Olivia Toh at 84046595. (EA: 94C3609 / R22109942)

https://www.linkedin.com/in/Oliviatoh-032330132/.

What impact will you make?

At Deloitte, we offer a unique and exceptional career experience to inspire and empower talents like you to make an impact that matters for our clients, people and society. Whatever your aspirations, Deloitte offers you unrivalled opportunities to realise your full potential. We are always looking for people with the relentless energy to push themselves further, and to find new avenues and unique ways to reach our shared goals.

So what are you waiting for? Join the winning team now.

Work you’ll do

· You will develop middle logic layer and backend handoff to partnering systems.

· You will involve in database design and development.

· You will perform primary and secondary research, conduct analyses and appropriate modelling tasks that feeds directly into the development of technology-enabled solutions for tackling our clients’ complex business problems.

· You will leverage on your training in technology, utilize analytical abilities and communication skills to support the project teams in delivery of our digital solution architectures and in development of work products that addresses our clients’ business needs and help achieve their strategic goals.

· You will support the project teams in developing presentation materials and in coordination of communications with the client.

· You will assist the project teams in delivery of business-driven, technology-enabled solutions to help our clients meet pressing challenges and seize opportunities in their respective markets.

· You will work with diverse and talented project team members to solve problems, improve performance, and generate value for our clients across all industries.

· You will uphold the firm’s standards and ethos in working with fellow team members and in your interactions with the clients.

· You will support business development efforts by contributing directly to the preparation, development of proposals, presentations and publications.

Your role as a leader

At Deloitte, we believe in the importance of empowering our people to be leaders at all levels. We expect our people to embrace and live our purpose and shared values, challenging themselves everyday to identify issues that are most important to our clients, our people and the communities, and to make an impact that matters. In addition to living our purpose, Consultants / Analysts across our Firm are expected to:

· Understand the expectations set and demonstrates personal accountability for keeping own performance on track.

· Understand how our daily work contributes to the priorities of the team and the business.

· Demonstrate strong commitment to personal learning and development.

· Actively focus on developing effective communication and relationship-building skills, with stakeholders, clients and team.

Requirements:

• Must have at least 3 years of Outsystems platform experience.
• Bachelor’s degree with at least 2 or more years’ experience in Java, C#, ASP.Net, ADO.Net, JQuery and JavaScript is a plus.
• Bachelor’s degree with at least 2 year experience consider for developer position.
• Strong working knowledge of various technology platforms and practices, including, but not limited to, Microsoft .NET technologies, service-oriented architecture, and software development best practices.
• Strong knowledge of new or latest technology, and able to gauge suitability to the organization’s business, especially in the healthcare provider sectors.
• A good innovative team player with strong sense of integrity & accountability.
• Enterprise technologies experience is very much advantageous.

Shall provide Data Centre (DC) operations at the Customer’s premises and premises identified by the

Customer. The DC Operations shall cover the following:

1. DC Environment Support; and

2. DC Facilities Management Services.

DC Environment Support

Shall monitor the facilities infrastructure in the DC to ensure that they are within the operating levels

defined by the Customers. The infrastructure to be monitored shall minimally include:

(a) Power infrastructure (such as Uninterrupted Power Supply and power distribution boards);

(b) Cooling Infrastructure (such as computer room air-conditioning units);

(c) Fire detection and suppression systems (such as FM200, water sprinklers, fire extinguishers);

(d) Environment monitoring system (such as humidity and temperature); and

(e) Water leakage detection.

(f) Shall ensure the DC infrastructure is monitored on twenty-four (24) hours a day, seven (7) days

a week, inclusive of Saturdays, Sundays and Public Holidays.

(g) The Vendor shall inform the Customer within one (1) hour when problems are detected.

(h) Shall work with the Customer and Customer-appointed Supplier to resolve any infrastructure

issues detected in accordance to the support hours as required by the Customer.

DC Facilities Management Services

(a) Shall ensure, through daily inspection, that the general cleanliness and tidiness of the data centre

are maintained by the Customer-appointed Supplier.

(b) Shall work with Customer-appointed Supplier on site preparation tasks such as network cabling

and electrical wiring, when required.

(c) Shall ensure the network cabling in the data centre and within the racks are neat and tidy.

(d) Shall work with the Customer-appointed Supplier for both scheduled and ad-hoc maintenance,

servicing, repair and upgrading works to the infrastructure at the Customer’s premises and

premises identified by the Customer.

(e) Shall plan and coordinate the maintenance activities. This includes polling the affected parties,

obtaining the Customer’s approval, and sending out messages to inform the affected party.

(f) Shall obtain the Customer’s approval before finalizing the plan for any activity.

(g) Shall provide on-site support during the maintenance activities unless otherwise agreed by the

Customer.

(h) Shall maintain up-to-date documentation of the data centre design layouts.

(i) Shall manage the physical security of the data centre in accordance with the guidelines provided

by the Customer.

(j) Shall monitor the following physical security infrastructure to ensure they are within the

operating levels defined by the Customer:

 Security Alarm and Security Card Access System; and

 Closed-Circuit Television (CCTV).

(k) Shall ensure that only authorised personnel are allowed to access the DCs.

 The Vendor shall ensure that all visitors to DCs are escorted during their activities on-site.

 The Vendor shall ensure that the visitors record their activities in the on-site log.

Requirement – DC Operations

Minimum Requirement:

The Vendor shall ensure, through daily inspection, that the general cleanliness and tidiness of the

data centre are maintained by the Customer-appointed Supplier. The DC Operator shall possess

minimally the following skill sets:

(a) Three (3) years of working experience in Data Centre Engineer Operations experience;

(b) Certified Data Centre Facilities Operations Manager (CDFOM) or equivalent; and

(c) ITIL v4 Foundation Certification or equivalent

A global industrial engineering solutions MNC is looking for a Key Account Manager for Data Center Cooling. The incumbent will be responsible for driving sales and business growth within the Data Center Cooling segments by engaging with key stakeholders, identifying market opportunities, and leading proposal preparations to achieve sales targets in Singapore.

Responsibilities:

• Identify and drive sales opportunities within cooling solutions for the data center market
• Engage with engineering consultancies and data center end-users/operators/developers
• Lead proposal preparation and consultation for cooling-related solutions
• Involved in planning, tendering, awarding and execution of cooling projects
• Research on business opportunities in the Data Center Cooling and Building Technology segments.
• Focus on hospitality, commercial, and district cooling projects to enhance market position.

Requirements:

• 5+ years of technical sales experience in cooling solutions
• Bachelor's Degree in Engineering or any other relevant disciplines
• Familiarity with HVAC or piping solutions
• Experience and network with engineering consultancy firms for data center market and its end-users directly

If you are interested, kindly apply with your latest CV. Only shortlisted candidates will be contacted.

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At ByteDance, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.

About the team

ByteDance and affiliate are developing the next-generation high-performance analytical database, with a mission to enable efficient and real-time data-driven decision-making on PB-level data sets. The initial product was forked from Clickhouse, after which large re-architecture had been taken place. The product now not only improves the efficiency of Clickhouse but also fits into the elastic cloud-native infrastructure with better scalability and resource utilization. With years of polishment in the internal EB-level scenarios, we are now ready to serve our business partners via various cloud vendors.

What you will be doing:

- Responsible for quality assurance of data and cloud products, and R&D efficiency improvement.

- Participate in product requirements and architecture design reviews, assess the rationality of the overall technical architecture and related testability.

- Ability to identify system risks in an all-around way, and ensure the stability of the systems through functional testing, performance testing, online monitoring, and other testing approaches.

- Build a data quality assurance system to ensure delivery quality and improve delivery efficiency throughout the entire process.

- In-depth understanding of the business, communicate and collaborate with various roles across teams, to create value for the business in an all-round way, without setting boundaries for work.

- Design and perform tests and check cases to determine if infrastructure components, systems and applications meet confidentiality, integrity, authentication, availability, authorisation, and nonrepudiation standards.

- Translate requirements into test plan, write and execute test scripts or codes in line with standards and procedures to determine vulnerability to attacks.

- Certify infrastructure components, systems and applications that meet security standards.

Qualifications

Minimum Qualifications:

- Bachelor's Degree or above, Computer Engineering, Mathematics, Statistics, Machine Learning, and other related majors

- At least 3 years of data testing experience

- At least 2 years of experience in managing a team

- 2 years experience in one or several of the following programming languages: C/C++/ Java / Go/ PHP/Linux shell/ Python.

- Solid understanding of distributed systems

- 2 years experience with UI and API automation testing and framework.

- 2 years experience in common big data technologies such as Hadoop, Spark, Hive, etc.

- 2 years experience in testing high-traffic distributed systems, and cloud-related products.

- Sensitive to data, with good logical thinking ability, analytical ability, troubleshooting skills, and business understanding ability.

Preferred Qualifications:

- 5 years of data testing experience

- 5 years of experience in managing a team

- 5 years experience in one or several of the following programming languages: C/C++/ Java / Go/ PHP/Linux shell/ Python.

- 5 years experience and solid understanding of distributed systems

- 5 years experience with UI and API automation testing and framework.

- 5 years experience in common big data technologies such as Hadoop, Spark, Hive, etc.

- 5 years experience in testing high-traffic distributed systems, and cloud-related products.

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.

Manage Data Center facility including;

• Lighting check
• Airflow check
• Ensure racks are lock
• Ensure no condensation
• Door access are in operation
• Emergency exit path is obstruction free
• No safety hazard
• Coordinate with vendor requesting to access the Data Center for any repair, upgrade, or installation of equipment.
• Daily Routine DC healthy check (Such as temperature, humility, power, server, and network switch).
• Respond to Data Center incident such as power trip, fire alarm, water leak, high temperature etc and escalate or report to relevant party/personnel.
• Cabling and troubleshooting the networking cable.
• Monitoring of Server and Network availability status.
• Monitoring of server antivirus definition ensuring up to date and escalation if not so.

Monitoring of status of Data Center with DCIM.

Requirement:

• Must have minimum 2 years working experience as Data Center Operator.
• Please ensure that the contractor will be open to support 24x7 – 12 hours shift duty when required.
• Candidate is agreeable to enter construction environment site and follow the safety protocol (i.e. wearing safety, helmet, vest and shoe) when entering the site.
  *It will be a daily task (or as required) to enter the site.
• Candidate is agreeable to take Measles and Diphtheria vaccine.

Responsibilities:

- Collaborate with relevant agencies on Levy collection effort and exchange of data/ information

- Investigate discrepancy in payment amount claimed by companies

- Face-to-face/virtual meetings with company representatives to clarify payroll records

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

- Statistics reporting on number of appeals received and track outcome of appeals

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

- At least 2 to 3 years of relevant work experience in enforcement or audit is an added advantage

- Excellent communication skills and inter-personal skills to engage employers and other stakeholders

- Effective team player with good communication, analytical and inter-personal skills

- Driven, meticulous and able to multi-task and work independently

- Knowledge related to compliance audit policies, relevant Act and Regulations are an advantage

- Advanced knowledge of Microsoft Excel (such as Vlookup, pivot tables), prior experience in data analysis and sense making of data from systems is a strong advantage

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

Salary Budget - $2.8 - $3.8K (depending on qualification and work experience)

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.