Job Opportunity: 6-Month Contract Clerk (Data Management Unit) at Finance Industry

Location: nearest MRT: Newton
Working Hours: Monday to Friday, 8:30 AM - 5:30 PM (1.5-hour lunch break)
Salary: $2,200 per month

Job Responsibilities:

• Gather and input data into databases, ensuring accuracy.
• Review data for errors or redundancies, make necessary corrections, and verify output.
• Collaborate with various stakeholders to enhance process efficiency and improvement.

How to Apply:
Send your resume to Jocelyn Chan at [email protected] or contact via Telegram @jocelynchan.

Jocelyn Chan | Consultant | Recruit Express Pte Ltd (Healthcare & Lifescience)
Company EA Licence Number: 99C4599
Personnel EA License: R1331820

Requirement

• Bachelors Degree in Computer Science, Information Technology or other relevant fields
• Minimum 2 years of work experience with Data Ingestion, ETL, Data Modelling, Data Architecture to build Datalake.
• Proficient in designing, coding, and tuning big data processes using Pyspark.
• Minimum 2 years of extensive experience in working on AWS platform using core services like AWS Athena, Glue Pyspark, RDS-PostgreSQL, S3 & Airflow (for orchestration).

Summary:

We are seeking a highly skilled and experienced Big Data Lead Architect to oversee the design, development, and deployment of big data solutions. The ideal candidate will have strong expertise in managing and architecting large-scale data platforms using advanced technologies such as Cloudera, Azure Cloud, and Kubernetes, among others.

Key Responsibilities:

• Lead the design, architecture, and implementation of end-to-end Big Data solutions.
• Oversee the integration of Cloudera CDH/CDP platforms for data management and analytics.
• Architect scalable solutions using technologies like Cloudera Machine Learning, Elasticsearch, and AML applications.
• Collaborate with data science and engineering teams to optimize the deployment of data models and machine learning pipelines.
• Ensure high availability and disaster recovery of big data platforms using technologies like Kubernetes, VMWare, and Azure Cloud.
• Automate infrastructure and deployment processes using Chef and Shell scripting.
• Implement monitoring and observability solutions using Prometheus, Grafana, and other monitoring tools.
• Manage security frameworks for big data environments using CyberArk and Trend Micro.
• Perform infrastructure troubleshooting and manage incident resolution using Remedy.
• Optimize database performance and management using PostgreSQL.
• Collaborate with cross-functional teams to ensure secure, reliable, and scalable infrastructure on HPE servers.

Required Skills & Qualifications:

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related fields.

Experience:

• 7+ years of experience in Big Data architecture and infrastructure, with a minimum of 3 years in a lead role.

Technical Expertise:

a) Cloudera CDH/CDP platforms and Cloudera Machine Learning.

b) Azure Cloud architecture and deployment.

c) Experience with Kubernetes, VMWare, RHEL, and container orchestration.

d) Monitoring tools: Prometheus, Grafana.

e) Security tools: Trend Micro, CyberArk.

f) Scripting: Shell scripting and automation with Chef.

g) Strong experience with Tableau and SAS for data visualization and analytics.

h) AML application expertise and experience with Elasticsearch.

i) Database expertise in PostgreSQL.

j) Strong experience in infrastructure management with HPE servers.

k) Proven experience in working with cloud and on-premise environments.

Preferred Skills:

a) Experience with disaster recovery, high availability, and security compliance.

b) Experience with DevOps practices and continuous integration (CI) pipelines.

c) Experience managing large-scale environments and multi-tier architectures.

Soft Skills:

a) Strong problem-solving and critical-thinking skills.

b) Excellent communication and leadership abilities.

c) Ability to work collaboratively in a fast-paced, dynamic environment.

d) Strong organizational and multitasking skills.

Job Description

• Collaborate with stakeholders (customers, partners, colleagues) on data-related technical issues and infrastructure needs.
• Work with data scientists to gather data requirements for modeling.
• Design, develop, document, manage, and maintain data models, ETL processes, data warehouses, data management, and pipeline solutions for large volumes of structured/unstructured data from various sources with different latencies (on-demand, batch, real-time, near-real-time).
• Define, monitor, and report SLAs for data pipelines and products.
• Ensure data security and governance standards are met.
• Execute data quality assurance practices.
• Support data management solutions pre-sales initiatives, proposal development, and provide post-sales support.

Technical Knowledge/Skills/Competencies

• Expertise in relational/non-relational/NoSQL databases and enterprise data warehouses/marts.
• Proficiency in big data technologies (e.g., Hadoop, Spark, Hive, HBase).
• Knowledge of data ingestion technologies (e.g., Flume, Kafka, NiFi).
• Experience in scripting, programming, and software development (e.g., Java, C/C++, Python, R, MATLAB, Scala, SQL) for Windows or Linux.
• Experience in master data management, data governance, and data lifecycle management.
• Skilled in designing, documenting, implementing, and supporting data management solutions.
• Familiarity with software engineering best practices (development, programming, testing, version control).
• Knowledge of data privacy and security assurance.
• Understanding of machine learning, computer vision, and large language models is a plus.

Soft Skills

• Excellent written and verbal communication skills.
• Highly organized, motivated, independent, and resourceful team player.
• Strong analytical thinking, interpersonal, and problem-solving skills.
• Ability to work productively in a matrix reporting and fast-paced environment.

Only shortlisted candidates will be notified.

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

(EA Reg No: 20C0312)

Background

Alternatives.pe provides the most detailed and comprehensive financial information on startups, SMEs, and their investors. Since launching in 2020, the company has already signed up clients like GIC, Sequoia, KKR and most of the leading investors in Southeast Asia. And this is just the beginning.

Role & Responsibilities

You will design and manage the processes that build and maintain our database of Key People who work for Fund Managers, Limited Partners and Family Offices.

Skills Required

• Must be a skilled user of a range of data acquisition tools
• Must be a skilled user of data cleaning and management tools to deduplicate, match, append etc. Ability to write functions in Google AppScript or Python would be a plus
• Familiar with LinkedIn Sales Navigator
• Familiar with dealing with email address data (and its validation)
• Familiar with process automation / integration tools (Make/Zapier etc)

Specific requirements of the job are:

• Design, implement and manage the process of finding new, relevant people that should be included on the Alternatives.pe platform, and maintaining the freshness of that data.
• Process raw data from various sources and prepare it for analysis/ingestion.
• Monitor data quality and implement improvements as needed.
• Help identify new data sources that our subscribers will find valuable.
• Develop a measurement framework that monitors key metrics for management.
• Collaborate with the development team to integrate data processing workflows.

Requirements

• 2-3 years of working experience
• Experience in a role that involves research / data acquisition and data operations.
• Highly developed attention to detail and enjoy getting data sets 100% accurate.
• Good communication skills in English.
• Excellent problem-solving skills
• Ability to work remotely, independently and in a team environment.
• Able to adapt well in a fast-paced startup environment
• Bachelor's degree in a business or technical subject.

Responsibilities:

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:
• Design, create, modify extract/transform/load (ETL) pipelines in Azure Data Factory ensuring efficient data flow from source to destination.
• Ensure data accuracy and data integrity throughout the ETL processes via data validation, cleansing, deduplication, and error handling to ensure reliable and usable data being ingested.
• Monitor the ETL processes and optimize ETL pipelines for speed and efficiency, addressing bottlenecks, and ensuring the ETL system can handle the volume, velocity, and variety of data.
• Participate in data modeling, designing of the data structures and schema in the data warehouse to optimize query performance and align with business needs.
• Work closely with Business controlling, data engineers and IT teams to understand data requirements and deliver the data infrastructure that supports business goals.
• Provide technical support for ETL systems, troubleshooting issues and ensuring the continuous availability and reliability of data flows.
• Ensure proper documentation of data sources, ETL processes and data architecture.

Qualifications

• 3-5 years of database experience in an enterprise production environment
• Working experience on Azure cloud and with Azure Data Factory is a must, and Oracle cloud would be a plus
• Demonstrable proficiency in PL/SQL to write SQL scripts
• Experience in data injection, cleansing and data modelling
• Hands on Database administration skills on Oracle and PostgreSQL would be a plus
• Good analytical and troubleshooting skills
• Curious, proactive, self-motivated and able to work in a dynamic environment
• Good spoken and written communication skills
:

Responsibilities

• Data Request Management: Gain a deep understanding of the product team's data requests and provide support in building the data structure and roadmap. Ensure timely fulfillment of daily data needs. Additionally, gather requirements, prioritize features, and ensure successful delivery of data products.
• Stakeholder Collaboration and Workflow/SOP Development: Collaborate closely with stakeholders, including the product team, BI team, data engineers, and business leaders. Work together to establish efficient workflows and SOPs with the product team, ensuring adherence to established procedures.
• Data Product Development: Develop data products for the assigned product line to guide the long-term development of the business. This includes creating a north-star or metrics system aligned with the goals of the product line.
• Data Governance: Thoroughly investigate recurring data issues by identifying underlying problems within internal data systems. Implement systematic approaches to address these issues. Collaborate closely with the data governance team to develop sustainable data governance solutions.

Requirements:

• Min. 2-5 years of experience in data product management.
• Excellent project management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment.
• Strong communication, collaboration, and implementation skills, with the ability to identify and resolve problems from both business and data technology perspectives.
• Demonstrates great sense of responsibility & ownership, with the ability to work under pressure.

Nice to Haves:

• Data Engineering background
• Crypto/Blockchain knowledge is a plus

EA Personnel: Celine Tan Si Ling

CEI Reg No: R1104662

EA Licence No: 99C4599

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

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

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

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

Responsibilities

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

Minimum Qualifications

• Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience.
• A minimum of 4+ years experience doing quantitative analysis
• Fluency in SQL, R, or Python
• 4+ years experience leading product analytics and influencing product roadmap
• 4+ years experience designing and running A/B tests
• Experience understanding ecosystems, user behaviors and long-term product trends
• Proven experience leading data-driven projects from definition to execution: defining metrics, experiment design, communicating actionable insights.

Preferred Qualifications

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

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

The ideal candidate has experience with large-scale data processing and a solid grasp of data science workflows. This position allows for a substantial impact on the team’s research direction within a successful proprietary trading firm.

Responsibilities:

• Identify high-quality data and request acquisition through data team tickets.
• Develop tools for data visualization and exploration.
• Apply statistical and ML techniques to detect patterns and trends.
• Stay updated on data science and crypto industry advancements.
• Benchmark model performance against leading techniques.
• Build metrics and dashboards to track trading strategy performance.

Requirements:

• At least 5 years in data science, with 2 in leadership
• Master’s in EE, CS, Physics, Mathematics, or related field
• Proficiency in Python, large-scale data processing, and ML frameworks like TensorFlow, PyTorch, and scikit-learn
• Experience in time-series analysis, modeling, and forecasting
• Strong understanding of model architecture and code quality
• Knowledge in crypto or finance is beneficial but optional

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

Working hours: Mon to Fri, 8:30am to 6pm

Position Summary

This position is responsible for physical and technical tasks related to Data Center Infrastructure equipment.

Primary Responsibilities

• Perform physical and technical tasks of intermediate & escalated complexity on Data Center infrastructure equipment including but not limited to servers infrastructure, network infrastructure, or other equipment on the DC floor, without immediate supervision.

• Work alongside Technicians in installing, troubleshooting, and maintaining servers, networking equipment, and cabling (requires moving and racking equipment)

• Fix broken servers (replace hard drives, replace bad sticks of RAM, etc.).

• Use hardware/software tools and workflows (automation) in support of these tasks.

• Strictly follow all policies, processes, and procedures related to the activities and data center environment.

• Perform maintenance on a timely basis with adequate recordkeeping.

• Maintain equipment in running order with minimal downtime.

• Ensure a safe working environment and perform maintenance in a safe manner.

Requirements

• NITEC in IT or technical based qualifications.

• Familiar and comfortable using and working with IT equipment and software.

• Experience in repair of electronics components of computers.

• Scissor lift license would be an added advantage.

NCS is a leading technology services firm that operates across the Asia Pacific region in over 20 cities, providing consulting, digital services, technology solutions, and more. We believe in harnessing the power of technology to achieve extraordinary things, creating lasting value and impact for our communities, partners, and people. Our diverse workforce of 13,000 has delivered large-scale, mission-critical, and multi-platform projects for governments and enterprises in Singapore and the APAC region.

As a Senior Data Engineer, you are responsible for design, build, and maintain systems that enable the collection, storage, and processing of large volumes of data for analysis and application use.

What you will do:

• Design, develop, and maintain robust data pipelines and architectures.
• Collaborate with cross-functional teams to integrate data from various sources.
• Implement and manage CI/CD processes to ensure smooth deployments.
• Optimize Snowflake database performance and ensure efficient data storage.
• Utilize Azure Data Factory and the MS Fabric stack for data integration and orchestration.
• Mentor and guide junior engineers, providing technical leadership and support.
• Write and maintain detailed technical documentation for data processes and architecture.
• Monitor and troubleshoot data pipelines to ensure data integrity and quality.
• Stay current with industry trends and best practices in data engineering and integration.
• Participate in code reviews, providing constructive feedback and ensuring code quality.

The ideal candidate should possess:

• Expertise in Snowflake database development.
• Proficient in Azure Data Factory and the MS Fabric stack.
• Experience with Continuous Integration / Continuous Deployment (CI/CD).
• Strong background in advanced data integration and engineering.
• Proven ability to write clear and comprehensive technical documentation.
• Experience with multiple cloud platforms, specifically Azure and AWS.
• Strong problem-solving skills and attention to detail.
• Excellent collaboration and communication skills.
• Bachelor's degree in Computer Science, Engineering, or related field; Master’s preferred.
• Minimum 5 years of experience in a similar role.

Responsibilities

• Data Request Management: Gain a deep understanding of the product team's data requests and provide support in building the data structure and roadmap. Ensure timely fulfillment of daily data needs. Additionally, gather requirements, prioritize features, and ensure successful delivery of data products.
• Stakeholder Collaboration and Workflow/SOP Development: Collaborate closely with stakeholders, including the product team, BI team, data engineers, and business leaders. Work together to establish efficient workflows and SOPs with the product team, ensuring adherence to established procedures.
• Data Product Development: Develop data products for the assigned product line to guide the long-term development of the business. This includes creating a north-star or metrics system aligned with the goals of the product line.
• Data Governance: Thoroughly investigate recurring data issues by identifying underlying problems within internal data systems. Implement systematic approaches to address these issues. Collaborate closely with the data governance team to develop sustainable data governance solutions.

Requirements:

• Min. 2-5 years of experience in data product management.
• Excellent project management skills, with the ability to prioritize tasks and meet deadlines in a fast-paced environment.
• Strong communication, collaboration, and implementation skills, with the ability to identify and resolve problems from both business and data technology perspectives.
• Demonstrates great sense of responsibility & ownership, with the ability to work under pressure.

Nice to Haves:

• Data Engineering background
• Crypto/Blockchain knowledge is a plus

EA Personnel: Celine Tan Si Ling

CEI Reg No: R1104662

EA Licence No: 99C4599

about company

I am currently working with a well-known tech product based company focusing on travel and ecommerce.

Salary structure: Base + bonus. 3 rounds of interview to offer stage. 5 days in office at CBD.

about job

• Collaborate with multiple product domains to understand their challenges and goals in ranking and recommendation systems
• Translate customer needs and business goals into technical requirements and ML services
• Develop, implement, and maintain data-driven solutions and systems
• Oversee and manage multiple data science projects, ensuring they meet objectives and are delivered on time

skills and requirements

• Bachelor’s degree in Computer Science, Data Science, Statistics, or related fields. Master's degree or higher preferred
• Min 4 years of experience in data science or related roles
• Excellent understanding of business operations and the ability to translate business requirements into technical specifications.
• Experience/familiarity with some of the following:
• Recommendation algorithms (collaborative filtering, content-based filtering, deep learning for recommendations)
• Ranking algorithms and metrics
• Experimentation
• Strong expertise in Python and experience with ML/Stats libraries (scikit-learn, LGBM, XGBoost to name a few).
• Proficient in data manipulation and analysis using SQL.
• Experience with cloud-based tech stack and containerization. GCP will be preferred.
• Proven experience in managing data projects from inception to completion.
• Exceptional interpersonal and communication skills, including the ability to describe complex technical concepts to non-technical stakeholders.

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

• Min 8 years of experience.
• At least 8 years of data-related working experience, with at least 5 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

We are looking for a highly skilled Data Scientist for our global Weather Desk with a strong background in Meteorology. The ideal candidate will hold a PhD or Master’s degree in Atmospheric Science or a related field. We seek for someone who is passionate not only about data analytics and modeling, but also enjoys interpreting large-scale weather patterns and teleconnections. The role balances forecasting work for commercial teams and research projects using data science. The ideal candidate is proficient in weather forecasting and understands the driving forces behind expected weather patterns.

Main Responsibilities:

• Lead global weather intelligence and monitoring for the SouthEast Asia regional commercial offices
• Conduct research, perform data analysis, and create predictive models using meteorological datasets
• Work with internal team to expand and improve suite of weather monitoring tools and visualizations
• Collaborate with cross-functional teams to translate complex weather/climate data into actionable insights through an agricultural commodity lens
• Present weather and research output to both technical and non-technical stakeholders on a regular basis
• Interact with our AI Hub in Singapore and ensure LDC benefits from the most recent developments in weather-related AI

Experiences:

• At least 1-3 years of relevant experiences
• Strong background in meteorology and forecasting
• Proven experience in research and data analytics
• Experience with agricultural commodities and trading is a plus
• Experience with modeling techniques and machine learning algorithms is a plus
• Experience with Google Earth Engine is a plus
• Genuine interest in commodity trading industry
• Strong analytical and statistical capabilities, with a proven track record in problem-solving
• Excellent communication skills
• Ability to work independently and in collaborative settings

Technical Skills:

• Proficiency in Python
• Experience in data analysis libraries (e.g. Pandas, NumPy, SciPy)

Languages:

• English (Fluent)

Academics:

• PhD or Master’s in Atmospheric Science, Agricultural Science, Meteorology or related field of study

Our client is a well-established MNC, market leader in the IT industry. Due to their current expansion plan, they are looking for an IT Maintenance Engineer to join their team, in hopes of developing the current high performing team. They are located in the West.

Responsibilities:

• Provide technical assistance to clients when required.
• Support operations on a 24/7 basis, with rotating shifts.
• Diagnose and resolve technical issues promptly.
• Communicate complex technical information in simple terms to clients.
• Understand and manage client requirements.
• Collaborate with the support team to escalate unresolved issues to the relevant product vendors.
• Maintain close communication with vendors to improve and support product solutions based on feedback and industry trends.
• Continuously enhance knowledge in IT security products and solutions.
• All other adhoc duties as assigned.

Requirements:

• Minimum Nitec/Diploma or other related field of studies.
• Minimum 1 years’ relevant experience.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

1. According to the production plan, responsible for issuing purchase orders, responsible for following up on purchase orders and progress;

2. Responsible for tracking and timely handling of quality issues of internal and external packaging materials;

3. Responsible for the data summary and report presentation of various purchase reports;

4. Responsible for the specifications, models, quotations, etc. of the products requested by each business unit, and timely feedback of the quotations to each business unit;

5. Sign contracts for goods that meet the requirements;

6. Responsible for checking the quality and quantity of the purchased goods and handling the reimbursement procedures

7. According to the purchase contract, prepare the payment application plan for the allocation of payables for purchased goods, and submit it to the supervisor for review, and then send it to the Finance Department for fund dispatch.

Job Description

• Industry/ Organization Type: Supply Chain
• Position Title: Data Entry Specialist
• Working Location: Tampines
• Working Hours: 5 days, Monday – Friday (8 am - 5 pm)
• Salary Package: Basic Salary
• Duration: 3-Months Contract

Key Responsibilities

• Verify and check products.
• Enter relevant information into the SAP system accurately.
• Communicate with suppliers to resolve any unclear information or discrepancies.
• Maintain organized records and ensure data integrity.
• Assist in generating reports and extracting data as needed for different business needs.
• Perform other ad hoc duties as assigned to support the team and business operations.

APPLY NOW!!!

• Experience using the SAP system is preferred.
• Strong attention to detail.
• Good computer literacy and communication skills.

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 #67597 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

The role of Business Development Manager in the Data Services Unit plays a crucial role in driving growth, expanding market presence, and ensuring that data services remain competitive and innovative.

Key Responsibilities:

Sales and Revenue Growth:

• Develop and implement business development strategies, sales strategies and pricing strategies to achieve revenue targets.
• Identify and pursue new market and business opportunities within the market data sector.

Client Acquisition:

• Identify and target potential clients in the financial services industry.
• Build and maintain relationships with key decision-makers and stakeholders.

Partnership Development:

• Establish and manage strategic partnerships with other financial institutions, technology providers, and data vendors.
• Negotiate and finalize partnership agreements

Market Research:

• Conduct thorough market research to understand industry trends, competitor activities, and customer needs.
• Use insights to inform business development plans and product innovation.

Reporting and Forecasting:

• Prepare regular reports on business development activities, sales performance, and market trends.
• Analyze data to measure the effectiveness of business development strategies and make adjustments as needed.

Skills and Qualifications:

• Experience: Proven experience in business development, preferably in the financial services or market data industry.
• Networking: Strong networking and relationship-building skills.
• Negotiation: Strong negotiation and deal-closing abilities.
• Communication: Excellent verbal and written communication skills.
• Analytical Skills: Ability to analyze data and trends to inform strategic decisions.

Fresh Graduates Welcome to Apply!

About the Role

As a Data Center Operations Technician on-site with our client, you’ll be part of a dynamic team, ensuring smooth operations and hardware support in a high-tech environment. This hands-on role is perfect for individuals passionate about technology and data centers, including fresh graduates eager to start their careers in a rapidly growing industry.

Key Responsibilities

• Hardware Support: Perform installations, moves, additions, and changes for IT equipment, including networks, servers, and storage devices.

• Decommission Equipment: Safely decommission and handle disposal of IT assets (HDD, SSD, backup devices).

• Cabling Management: Connect and disconnect patch cables to maintain structured cabling within the data center.

• Server Hardware Troubleshooting: Replace parts, reseat modules, and conduct SFP module and hardware fixes (HDD, memory, mainboard replacements).

• Data Center Inspections: Conduct regular physical and visual checks on equipment and facilities.

• Maintenance Support: Provide on-site assistance during scheduled maintenance and change events.

• Issue Troubleshooting: Resolve IT and network issues with timely updates and escalation as needed.

• Inventory & Vendor Management: Manage inventory (RMA, cold spares) and coordinate with vendors for repairs, installations, and scheduled visits.

• Access and Site Management: Handle data center access requests and manage operations at POP sites.

• Reporting and Process Improvement: Generate regular progress reports and support continuous improvement initiatives.

• On-Call and Shift Work: Be available for after-hours support based on an on-call schedule. （On-call and Shift allowance available!)

Requirements

• Experience: At least 1 year in Data Center operations preferred; fresh graduates with relevant knowledge are encouraged to apply.

• Technical Skills: Proficiency in structured cabling, patching, and hardware troubleshooting.

• Problem Solving: Ability to address issues promptly with clear communication and escalation.

• Critical Environment Experience: Experience in large-scale data centers is a plus.

Preferred Skills and Knowledge

• Knowledge of rack, space, power, and cooling allocations

• Capacity management (space, power, cooling, patch panel availability)

• Familiarity with Incident/Change Management processes

• Understanding of Data Center Space, Power, and Cooling Management

• Relevant Certifications (e.g., CDCP, ITIL, Server+, Linux+, Network+, A+, CCNA) are advantageous

About Greenlane

Greenlane is a Singapore-based recruiting firm specializing in banking, trading, tech, and various other industries.

EA Licence No.: 20C0261 | Registration No.: R23118854

Job Description:

• Maintain accurate records of all inbound and outbound deliveries within the warehouse and data center environment.
• Conduct routine inventory audits to ensure warehouse stock levels align with control requirements.
• Manage the movement and organization of equipment and materials using pallet jacks or other assisted lifting tools.
• Operate within a ticket-based system to manage and prioritize warehouse and logistics tasks.
• Oversee the secure handling and disposal of materials, including data-bearing devices (e.g., hard drives, solid-state drives), according to standard procedures.
• Perform material movement and tracking activities, including shipping, receiving, and managing inventory across the warehouse.
• Carry out shift-based tasks such as managing ticket queues, resolving escalations, and clearing issues to enable efficient logistics and inventory activities in line with company policies and service level agreements (SLAs).
• Flexibility to work outside standard business hours, including weekends and holidays as needed.

Requirements:

• Diploma / Degree in Logistics, Supply Chain Management, IT, or equivalent.
• At least 2 years of experience in Logistics, Warehouse Operations, or Inventory Management, for Data Centers.
• WSQ Manage Work at Height Course
• Ability to handle standing, walking, lifting, and working at heights, with or without equipment assistance.
• Effective communication skills with proficiency in both written and spoken English, for collaborating with regional and global teams.