Staff Skill

1. Data Engineering & Architecture:
   • Strong understanding of data engineering principles, data pipelines, and architectures.
   • Expertise in building scalable, high-performance data systems.
2. ETL/ELT Processes:
   • Proficiency in designing, developing, and maintaining ETL/ELT pipelines.
   • Experience with ETL tools such as Databricks Delta Lake, Google BigQuery, Azure Data Factory, SSIS.
3. Programming & Scripting:
   • Advanced skills in programming languages like Python, R, Java, Scala, or SQL.
   • Ability to write clean, efficient, and reusable code.
4. Database Technologies:
   • Extensive experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server).
   • Expertise in NoSQL databases (e.g., MongoDB, Cassandra).
   • Familiarity with data storage technologies like Hadoop, HBase, Redshift, BigQuery, Snowflake.
5. Data Warehousing & Data Lakes:
   • Experience with data warehousing solutions (e.g., Azure Synapse Analytics, Snowflake, Amazon Redshift).
   • Expertise in working with data lakes (e.g., Azure Data Lake Storage (ADLS), Hadoop, Databricks).
6. Cloud Platforms:
   • Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
   • Knowledge of cloud-native data processing tools (e.g., AWS Glue, Azure Data Factory, Databricks).
7. Data Integration & API:
   • Ability to integrate data from multiple sources including relational, NoSQL, and external APIs.
   • Experience with RESTful APIs and Web Services.
8. Big Data Technologies:
   • Knowledge of big data frameworks
   • Familiarity with distributed data processing and storage systems.
9. Data Modeling & Design:
   • Proficient in data modeling concepts (e.g., star schema, snowflake schema, dimensional modeling).
   • Experience in defining and implementing data models for analytical and operational needs.
10. Microsoft Power BI & Reporting:
    • Expertise in Power BI design, integration, and implementation for building interactive dashboards and reports.
    • Experience with data source integration and visualization techniques.
11. SharePoint Integration:
    • Experience in integrating data solutions with SharePoint, enabling seamless data flow, document collaboration, Sharepoint Server Management, Customization and Development, permissions and security.
12. Version Control & DevOps:
    • Proficiency in version control systems (e.g., Git).
    • Experience with CI/CD pipelines and DevOps practices to automate data pipeline deployment.
13. Performance Optimization:
    • Ability to optimize queries, data processes, and storage solutions for performance and cost-efficiency.
14. Security & Data Governance:
    • Knowledge of data security practices, encryption, and compliance requirements.
    • Experience with data governance frameworks and tools.
15. Problem-Solving & Analytical Thinking:
    • Strong problem-solving skills and the ability to troubleshoot complex data issues.
    • Ability to analyze large datasets and derive actionable insights.
16. Communication & Collaboration:
    • Excellent written and verbal communication skills for interacting with stakeholders and cross-functional teams.
    • Ability to mentor junior engineers and work collaboratively in a team environment.

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience: 5 years of experience as a Data Engineer or in a similar role.

Staff's current job responsibilities (Detail JD):

1. Data Pipeline Development:
   • Design, develop, and maintain scalable, reliable, and efficient data pipelines for processing structured and unstructured data.
2. ETL/ELT Implementation:
   • Create, optimize, and maintain ETL/ELT workflows to transform raw data into usable formats for business and analytical purposes.
3. Data Warehousing & Data Lakes:
   • Design and implement data storage solutions using data warehousing and data lake technologies such as Azure Synapse Analytics, Snowflake, or Databricks.
4. Data Integration:
   • Integrate data from multiple internal and external sources, ensuring accuracy, consistency, and timeliness of data delivery.
5. Cloud-Based Data Solutions:
   • Architect and implement data solutions on cloud platforms like AWS, Azure, or GCP, leveraging native cloud tools and services.
6. Data Modeling:
   • Develop and maintain logical and physical data models for transactional, operational, and analytical systems.
7. Performance Optimization:
   • Optimize database queries, data storage, and processing pipelines to ensure high performance and low latency.
8. Microsoft Power BI Implementation:
   • Develop and implement Power BI dashboards and reports, integrating various data sources and ensuring actionable insights for stakeholders.
9. SharePoint Integration:
   • Collaborate with teams to integrate SharePoint with data solutions, ensuring seamless access and collaboration across platforms.
10. Data Security & Governance:
    • Ensure compliance with data security policies, implement best practices for data governance, and maintain data quality standards.
11. Collaboration & Communication:
    • Work closely with data analysts, data scientists, and business teams to understand data needs and deliver solutions that align with business objectives.
12. Mentorship & Leadership:
    • Mentor junior engineers, provide technical guidance, and promote knowledge sharing within the team.
13. Innovation & Continuous Improvement:
    • Stay updated with emerging technologies, recommend new tools and techniques, and drive continuous improvement in data engineering practices.
14. Documentation & Reporting:
    • Prepare comprehensive technical documentation for data pipelines, architecture, and processes, ensuring knowledge transfer and clarity.
15. Monitoring & Troubleshooting:
    • Monitor data workflows, troubleshoot issues, and implement solutions to ensure seamless data operations.

Interested candidates, please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile. (https://sg.go.persolkelly.com/job/apply/10696)

We regret to inform you that only shortlisted candidates will be notified.

Gelangre Reyanelle Gelario | REG No : R1870995

PERSOLKELLY SINGAPORE PTE LTD | EA License No : 01C4394

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Full-Time SSO Needed. *Data Centre Starting On End January 2025 URGENT URGENT

Permanent, 5days, Paya Lebar

Our client

MNC in air conditioning and humidification system solution serving high tech industry.

Responsibilities:

· To Conduct assessments of hvac designs to ensure that they meet the required specifications and standards within allotted timeline.

· To verify and prove that hvac systems in data centre build and function according to the requirement.

· To execute, lead n manages the commissioning process across all projects, from start-up, designing, construction, acceptance, functional performance and systems testing to operational turnover.

· Management of 3rd party commissioning agents, supplier, contractor, client to resolve any issues on site

· To perform project closeout and handover

· To produce Commissioning Report for each project.

Requirements:

· Diploma in Mechanical Engineer or related disciplines.

· 5 years’ experience in hvac data centre of commissioning management or hvac data centre design management

· Proficient in data centre safety and industry standards

· 5years’ experience in physical M&E equipment in data centre (especially hvac0

· Speaks and write 2 languages.

For better response, pls apply via job page

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

click job opening, click relevant position

We regret that only shortlisted candidates will be notified

Job Description

· Conduct and analyse market research on commercial-defense products with AI technologies to identify market demand, growth opportunities and competitive threats

· Translate global and regional market intelligence into actionable insights that inform strategic product direction and commercial planning.

· Provide senior leadership with clear, data-driven reports on market trends, customer demands, and emerging technologies that could influence business strategy.

· Ensure compliance for advanced networks, sensors, and AI technologies by managing certification processes and maintaining adherence to industry regulations.

· Develop and optimize pricing strategies for networks, sensors, and AI-based solutions that balance profitability with competitive positioning.

· Lead the development and execution of GTM strategies for advanced networks, sensors, and AI products, targeting both regional and global market penetration.

· Partner with the Product Managers, Marketing and International Business to execute GTM plans that align with customer needs and business objectives.

Requirements

· Bachelor’s degree in Business, Engineering or a related field; advanced degree (MBA or M.S.) or certifications in Digitalisation, AI and Data Science.

· Experience: 5+ years in start-ups or corporate roles in commercial business functions that focused on business model innovation, go-to-market analysis, compliance and commercialisation in the AI, telecommunications and tech sectors.

· Solid understanding of market dynamics and regulatory requirements, with in-depth knowledge of compliance and certification processes relevant to the industry.

· Develop and implement pricing strategies and go-to-market plans.

· Preferred: Proficiency with advanced networks and sensors with AI applications.

· Strong written and verbal communication skills, with experience in delivering markets, business and commercialisation insights and recommendations to senior management.

· Exceptional organizational skills and the ability to manage complex, cross-functional initiatives with multiple stakeholders.

· Leadership: Experience leading teams and fostering collaboration across product, finance, and commercial departments.

· Singaporean only.

· Location: Jurong East / Ang Mo Kio.

Please submit resumes to [email protected]

- 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.

Requirements:

• Required to work in 24 x 7 Data Centre on varied 12 hours shifts including nights, weekends and holidays.
• Proficiency in Microsoft office.

Job Scope:

• Perform physical visitor access request into Data Centre.
• Perform physical equipment movement request in or out of Data Centre. Manage access requests and inventory movements with all necessary approvals & checking that it matches with request.
• Health monitoring of systems via Network Operations Centre dashboards using monitoring tools.
• Escalate issue to relevant parties based on Standard Operating Procedure (SOP) & escalation matrix.
• Perform data backups and ensure it is run on timely basis and manage failed jobs.
• Proper handover of information or task to be passed down to next team during shift handover to ensure smooth transition of outstanding issues or tasks.
• Reports generation (daily/weekly/monthly).
• Monitor patching activities.
• Daily checking of logs to prepare for audit: visitor log, keypress log, staging, storage, DC item log and inventory movements.
• Weekly checking of logs to prepare for audit: CCTV and degauss logs.
• Perform any other task assigned that is related to job requirements

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

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

TikTok will be prioritizing applicants who have a current right to work in Singapore and do not require TikTok's sponsorship of a visa.

About TikTok

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

Why Join Us

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

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

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

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

Join us.

About The Team

The TikTok Data Ecosystem Team has the vital role of crafting and implementing a storage solution for offline data in TikTok's recommendation system, which caters to more than a billion users. Their primary objectives are to guarantee system reliability, uninterrupted service, and seamless performance. They aim to create a storage and computing infrastructure that can adapt to various data sources within the recommendation system, accommodating diverse storage needs. Their ultimate goal is to deliver efficient, affordable data storage with easy-to-use data management tools for the recommendation, search, and advertising functions.

What you will be doing:

1. Responsible for the design and development of distributed database Hbase-related components.

2. Responsible for the design and development of single-node LSM engine Rocksdb-related components.

Qualifications

What you should have:

- Bachelor's Degree or above, majoring in Computer Science, or related fields, with 4+ years of relevant development experience in the field with a strong programming ability, and proficiency in one of C/C++/Java;

- In-depth understanding of the architecture and principles of distributed systems;

- A willingness to tackle challenging problems without clear solutions, a strong enthusiasm for learning new technologies, and prior experience in managing large-scale data.

Preferred Qualifications:

- Embrace the use of open-source software, possess a track record of involvement in open-source projects, and demonstrate a keen enthusiasm for engaging with the latest and most advanced technologies.

- Exhibit knowledge in distributed consensus algorithms like Paxos/Raft.

- Show familiarity with distributed transaction models.

- Demonstrate proficiency in typical storage engines, including RocksDB, and have a deep understanding of the inner workings of Redis at the low-level code level.

- Display expertise in low-level aspects of operating systems, with a background in optimizing system performance for TCP/IP, I/O operations, and other critical component

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

Product area

The Data Center team designs and operates some of the most sophisticated electrical and HVAC systems in the world. We are a diverse, upbeat, creative, team-oriented group of engineers committed to building and operating powerful data centers.

Job description

The Data Center team designs and operates some of the most sophisticated electrical engineering, mechanical engineering and HVAC systems in the world. Facilities Technicians at Google data centers operate, monitor and support physical facilities conditions. Some of these duties will include heating and cooling of air and water, power supply, generators, UPS systems, electrical distribution and control and monitoring systems. You regularly help inspect, maintain and repair various data center systems such as piping and non-critical electrical or mechanical system components).

As an advocate for best practices, you develop creative approaches to reducing operational costs while improving overall data center efficiency. You ensure that environmental and safety standards are consistently met, identifying problems and making repairs quickly. In emergency situations or abnormal conditions, you manage data center performance issues and outages to minimize the recovery time from failures.

Additional job description

As a Facilities Technician, you will operate, monitor, and support physical facilities conditions for our data centers.

Qualifications

Job responsibilities

• Be responsible for the uptime, maintenance, and troubleshooting of water pumps and treatment systems, Heating Ventilating and Air Conditioning (HVAC), and Control and Monitoring Systems.
• Operate, monitor, maintain, and respond to abnormal conditions in the data center facilities systems and equipment. Provide tracking and trending operational characteristics.
• Support startup, commissioning, and integration of new equipment and systems into facilities infrastructure. Direct the execution of starting-up, commissioning, documentation, and full facilities turnover on assigned projects.
• Provide operational and maintenance insights into the design review process.
• Produce standards and templates for global control/monitoring system analysis, diagnostic, preventive maintenance, and trend logs for data center critical facilities systems.

Minimum qualifications

• Associate's degree, trade school certification, or other certified training in a related technical field, or equivalent practical experience.
• 5 years of experience in operating and maintaining mission critical facilities (data centers, hospitals, pharma, refineries, power plants, industrial, etc.).
• Commissioning experience of HVAC and mechanical distribution systems (chillers, air handling units, etc.) to include air and water side systems.

Preferred qualifications

• Experience with maintenance on mechanical or Mechanical, Electric and Plumbing (MEP) systems, and capable of independently resolving common system failures.
• Experience with operations in a data center and troubleshooting for mechanical/HVAC systems.
• Ability to work with varying outdoor temperature conditions, perform material handling (lifting/shifting) and work on platforms, ladders, and under raised floors.
• Ability to learn quickly and address issues as they arise during normal operations or during emergency conditions.
• Ability to work non-standard 12 hour shifts including weekends and holidays on-call rotation.

Permanent, 5days, Paya Lebar

Our client

MNC in air conditioning ventilation system solution serving high tech industry

Job Scope:

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

Requirements:

• Degree in Mechanical Engineering or a related field.
• Minimum 3 years of experience in ACMV/HVAC or related M&E projects.
• Familiarity with HVAC systems for data centers.
• Strong project management skills.

Work location :Paya Labar

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

For better response, pls apply via job page

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

click job opening, click relevant position

We regret that only shortlisted candidates will be notified

TikTok will be prioritizing applicants who have a current right to work in Singapore, and do not require TikTok sponsorship of a visa.

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

Why Join Us

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

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

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

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

Join us.

About the team

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for recommendation system to provide the most stable and best experience for our TikTok users. We cover almost all short-text recommendation scenarios in TikTok, such as search suggestions, the video-related search bar, and comment entities. Our recommendation system supports personalized sorting for queries, optimizing the user experience and improving TikTok's search awareness.

Responsibilities

- Design and implement a reasonable offline data architecture for large-scale recommendation systems

- Design and implement flexible, scalable, stable and high-performance storage and computing systems

- Trouble-shooting of the production system, design and implement the necessary mechanisms and tools to ensure the stability of the overall operation of the production system

- Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive date and large-scale business systems

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software

- Applying data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets

- Visualise, interpret, and report data findings and may create dynamic data reports as well

Qualifications

Minimum Qualifications

- Bachelor's degree or above, majoring in Computer Science, or related fields, with at least 1 year of experience

- Familiar with many open source frameworks in the field of big data, e.g. Hadoop, Hive, Flink, FlinkSQL, Spark, Kafka, HBase, Redis, RocksDB, ElasticSearch, etc.

- Experience in programming, including but not limited to, the following programming languages: c, C++, Java or Golang

- Effective communication skills and a sense of ownership and drive

- Experience of Peta Byte level data processing is a plus

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

What you'll do:

As a Regional Data and AI Engineerfor the Asia-Pacific region, your role will involve managing diverse data sources including sales, marketing, supply chain, finance, customer, and operational data. You will work closely with cross-functional teams across the region to establish streamlined data processes ensuring quality and consistency. By harnessing the power of data and AI, you will contribute significantly towards defining the future of customer experience while driving overall business success.

• Design, develop, and maintain efficient data pipelines from various sources into a centralised data warehouse.
• Identify opportunities to integrate data sources and minimise redundant data subscriptions.
• Develop and maintain a data catalogue to improve data accessibility for commercial teams.
• Create and manage master data related to products, customers, suppliers, inventory.
• Develop and implement data models to support sales forecasting, customer segmentation, pricing optimisation.
• Build and maintain a scalable and secure data infrastructure.
• Collaborate with commercial teams to identify data-driven opportunities.
• Develop a strategy to create a unique customer identifier across all omnichannel touchpoints.
• Conduct exploratory data analysis to identify patterns and trends that can drive revenue growth.
• Ensure data quality and integrity through profiling and cleansing.

What you bring:

The ideal candidate for the Regional Data and AI Engineerposition brings proven experience in designing efficient data pipelines from various sources into a centralised system. You have strong proficiency in SQL along with experience in programming languages such as Python or Rfor manipulating large datasets. Your understanding of cloud-based platforms like AWS or Azure will be crucial in this role. A background in supply chain management principles would be an added advantage. You are also expected to process datasets in Mandarin language and work closely with Chinese markets.

• Bachelor’s degree in computer science, Statistics, Mathematics or related field.
• 3-5 years of experience in data engineering with focus on integrating diverse data sources.
• Strong proficiency in SQL and knowledge of warehousing concepts.
• Experience with programming languages like Python or Rfor data manipulation.
• Understanding of cloud-based platforms like AWS, GCP or Azure.
• Knowledge of supply chain management principles is preferred.
• Experience with pharmaceutical industry regulations is a plus.
• Ability to process datasets in Mandarin language.

What sets this company apart:

Our client is part of one of the world's largest biopharmaceutical companies with a heritage since 1886 and over 17,000 employees in more than 100 countries. They have an established presence in 13 key healthcare markets with over 3,000 sales, marketing and support professionals. They operate across the entire commercial value chain, from clinical development, regulatory approval and product launch to lifecycle management with a diverse portfolio of proprietary and partnered brands in key therapeutic fields.

What's next:

Ready to transform data into actionable insights? Apply now!

Apply today by clicking on the link!

Do note that we will only be in touch if your application is shortlisted.

Robert Walters (Singapore) Pte Ltd

ROC No.: 199706961E | EA Licence No.: 03C5451

EA Registration No.: R24123088 Josue Hoyos Pardavell

Your career at NTT DATA Business Solutions

Empowering You – to feel our passion for SAP / Analytic Solutions

As NTT DATA Business Solutions, we are more than just a company. We are a team of innovative and passionate people who specialize in creating value-added SAP and Analytic solutions and guiding our customers on their journey to becoming intelligent businesses. We focus on SAP Consulting, SAP Development, Data Analytics, ServiceNow, Managed Cloud Services, Application Management Services (AMS) & Technology and beyond.

Our success is based on TOGETHERNESS, INNOVATION, TRUST, and SUSTAINABILITY – this is the heart of our corporate culture.

As part of the global NTT DATA Group, one of the top 10 IT service providers worldwide, we stand for our open and sustainable acting. More than 15,000 employees from 64 nations in over 30 countries show that diversity is integral to our DNA and that we live tolerance and respect every day.

People are the key to our success. We believe that every individual can make an important contribution and are therefore constantly on the lookout for talented people who can actively strengthen our team.

Are you ready to break new ground?

Job Summary

As a Cloud Data Architect, you will play a pivotal role in designing, building, and optimizing scalable, secure, and cost-effective cloud-based data solutions. This is a full-time/contract, onsite position based in our Singapore office. Collaborating closely with stakeholders, including clients and internal teams, you will deliver robust data architectures that support analytics, reporting, and data-driven decision-making.

We are seeking an innovative and creative thinker who can anticipate market needs, craft cutting-edge solutions, and provide significant value to our clients through forward-thinking data-driven technologies.

Key Responsibilities

• Cloud Data Architecture:Design and implement cloud-based data architectures that are scalable, secure, and performance-optimized, addressing both current and future business needs.
  
• Cloud Platform Expertise:Utilize leading cloud platforms (AWS, Azure, GCP) to build and deploy data pipelines, storage solutions, and advanced analytics systems.
  
• Cloud Security and Networking:Implement and maintain robust cloud security measures, including encryption, identity and access management (IAM), network security, and firewalls. Ensure compliance with relevant security standards and frameworks such as ISO 27001, SOC 2, and GDPR.
  Manage and configure network security tools such as Virtual Private Cloud (VPC), firewalls, and VPNs across cloud platforms to secure data in transit and at rest.
  
• Data Integration and Quality:Lead the design and execution of ETL/ELT processes, ensuring seamless integration of data from diverse sources while maintaining data quality, consistency, and accuracy.
  
• Cross-Functional Collaboration:Partner with Data Engineers, Data Scientists, Business Analysts, and clients to align technical solutions with business requirements and objectives.
  
• Performance and Cost Optimization:Continuously monitor and enhance the performance, scalability, and cost-efficiency of cloud data solutions, leveraging tools such as AWS CloudWatch, Azure Monitor, or Google Stackdriver to ensure adherence to industry best practices.
  
• Data Governance:Develop and enforce robust data governance frameworks, including policies for data access, compliance, security, and disaster recovery.
  
• Technology and Trend Evaluation:Stay informed about emerging technologies and market trends, recommending and implementing innovative tools and methodologies to enhance data architecture.
  
• Comprehensive Documentation:Prepare and maintain detailed technical documentation, including architectural diagrams, to support solution implementation and ensure alignment among stakeholders.
  
• Innovation and Client-Centric Solutions:Address evolving market demands and client challenges by developing creative, forward-thinking data solutions using modern technologies tailored to unique business needs.
  

Required Skills

• Technical Skills:Expertise in database design, including relational (SQL) and non-relational (NoSQL) databases, as well as data modeling techniques.
  Advanced knowledge of data pipeline and orchestration tools, such as Apache Airflow, AWS Glue, and Azure Data Factory.
  Proficiency in programming languages such as Python, Java, or Scala for data processing and system development.
  Familiarity with CI/CD pipelines and infrastructure-as-code tools like Terraform and CloudFormation for streamlined deployment and scalability.
  Proven ability to design innovative and differentiated data strategies, aligning solutions with market trends and unique business needs.
  Strong creative problem-solving skills, capable of thinking outside the box to address complex technical and market challenges.
  Experience with cloud-native services such as AWS S3, Azure Blob Storage, or Google BigQuery.
  
  Cloud Security and Networking Expertise:Strong understanding of cloud security principles, including encryption, IAM, network security, and firewalls.
  Hands-on experience with cloud security tools such as AWS IAM, Azure Security Center, Google Cloud IAM, and firewall configurations.
  Knowledge and experience in setting up and managing Virtual Private Cloud (VPC), firewalls, and VPNs across cloud environments to secure data.
  Familiarity with security frameworks such as SOC 2, ISO 27001, and GDPR compliance.
  
• Soft Skills:Exceptional problem-solving and analytical capabilities, with a results-driven approach to addressing technical and business challenges.
  Excellent communication and interpersonal skills to collaborate effectively with technical teams, stakeholders, and clients.
  Ability to simplify complex technical concepts and present actionable strategies that align with business objectives.
  Adaptability: Thrive in dynamic environments and adjust to evolving project scopes or client requirements.
  

Required Qualifications

• Essential Qualifications:Education: Bachelor’s degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
  
• Preferred Qualifications:Cloud certifications such as AWS Certified Solutions Architect, Azure Data Engineer, or Google Professional Data Engineer.
  Security certifications such as AWS Certified Security – Specialty, Certified Cloud Security Professional (CCSP), or Certified Information Systems Security Professional (CISSP).
  Certifications in Big Data technologies or data governance frameworks.
  
• Experience:Minimum of 8 years of experience in data architecture, with at least 3 years specializing in cloud-based solutions.
  Hands-on experience with major cloud platforms such as AWS, Azure, or GCP.
  Proven track record of designing and implementing data architectures that support analytics and reporting at scale.
  
• Technical Expertise:Proficiency in database technologies, including SQL and NoSQL databases, and data modeling.
  Expertise in data pipeline tools like Apache Airflow, AWS Glue, and Azure Data Factory.
  Strong programming skills in Python, Java, or Scala.
  Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
  
• Core Competencies:Ability to design innovative, scalable, and secure data solutions aligned with business needs.
  Strong knowledge of data governance, compliance, and security best practices.
  
• Additional Technical Skills:Familiarity with Big Data technologies like Hadoop, Spark, or Kafka.
  Knowledge of modern data warehouses (e.g., Snowflake, Databricks).
  Experience with containerization and orchestration tools like Docker and Kubernetes.
  
• Industry Knowledge:Exposure to specific industry verticals and their data needs, enabling tailored solutions.
  
• Creative Leadership:Demonstrated ability to lead innovation initiatives and craft strategies that align with emerging market trends.
  

Responsibilities:

Product

• Regular monitoring of the product mix to identify sales trends. Highlight sales opportunities for business growth and identify any gaps
• In-depth analysis of sales from different Distribution channels (Tied Agency, Banks, FAs, Brokers, Digital, etc)
• Analysis of LIA Statistics to identify industry trends and movement of competitors
• Conduct customer profile analysis of current products to enhance sales proposition & positioning
• Monitoring of Key Product KPI and highlight concerns/ issues
• Work closely with the Product Proposition Specialists to identify key top districts to engage and area of focus to bridge any sales gap
• Analysis of product mix by districts to influence sales behavior of producers to achieve the right business mix.

Vitality

• Regular monitoring to support users on their daily decisions on Vitality operations, strategic planning and specific business performance
• Identify and analyse Vitality data points to provide meaningful insights and findings that would improve business decision on product refinement, improvement of benefits & features, allow better projection when designing sales and members campaigns to drive business performance
• Work with key business owners & stakeholders to identify any business opportunities or issues that require insights and the data requirement that would help in their daily work decisions

Data Management

• Constant review of operational process and provide enhancements to eliminate redundancy and improve efficiency
• Participate in the Group Operations Critical Data Element initiative for proper data governance
• Ensure data integrity in all data related process and outcome

Requirements:

• Minimum 5 years experience in Data Analytics field
• Experience in programming languages such as SQL or equivalent
• Proficient in data analytics and visualization tools such as Alteryx, Databricks, Tableau or equivalent
• Ability to process large datasets and complete projects in an accurate and timely manner

Overview

We are seeking a skilled Infrastructure Engineer to manage, enhance, and automate our Market Data platform and related infrastructure. This role combines expertise in Linux and Windows environments, scripting, observability tools, and CI/CD pipelines, with a focus on creating scalable, high-performance systems for a dynamic environment.

Key Responsibilities

• Platform Administration & Maintenance:Maintain and manage the Market Data ananlystic tool, including service configuration, memory loader setup, locator files, and system processes.
  Perform logfile investigations and troubleshoot issues across Linux and Windows infrastructures.
  
• Automation & Tool Development:Drive automation efforts by developing and managing scripts using Python, Bash, or PowerShell to streamline environment provisioning, deployment, and configuration tasks.
  Build and maintain custom deployment tools to optimize the installation and upgrades of the Market Data platform.
  
• CI/CD & System Integration:Design and manage robust CI/CD pipelines using tools like Jenkins, BitBucket, GitLab, and Octopus.
  Integrate deployment pipelines with source control systems, testing frameworks, and observability platforms.
  Automate deployment processes using Infrastructure-as-Code (IaC) tools such as Terraform and Ansible.
  
• Performance Optimization & Scalability:Collaborate with developers and system administrators to optimize low-latency, high-throughput systems.
  Implement solutions to ensure the platform’s ability to scale and handle dynamic workloads efficiently.
  
• Observability & Reliability:Develop monitoring, logging, and alerting mechanisms using Grafana, ElasticSearch, fluent-bit, and OpenTelemetry to proactively identify and resolve issues.
  Ensure deployments meet reliability and security standards.
  
• Collaboration & Engineering Culture:Partner with product teams and quant engineers to understand business requirements and align tools with operational needs.
  Foster a culture of engineering excellence, standardization, and automation across the team.
  Contribute to documentation efforts and advocate for best practices.
  

Required Qualifications

• Linux/Windows Expertise:Strong background in Linux administration, including software package management, text processing, filesystem management, and shell scripting.
  Experience managing and troubleshooting Windows-based environments.
  
• DevOps & Automation:Proficiency with CI/CD tools like Jenkins, BitBucket, GitLab, Octopus, and Maven.
  Strong scripting skills in Python, Bash, or PowerShell.
  Hands-on experience with Infrastructure-as-Code tools like Terraform or Ansible.
  
• Monitoring & Messaging Systems:Familiarity with observability tools such as Grafana, ElasticSearch, and OpenTelemetry.
  Experience with communication stacks like RabbitMQ, Kafka, WebSocket, and WebSphere MQ.
  
• Market Data Platforms & Distributed Systems:Familiarity with market data systems and their configuration, optimization, and administration.
  Knowledge of distributed architectures, high-throughput systems, and market data infrastructure.
  

Preferred Qualifications

• Experience deploying and managing OneTick or similar time-series databases.
• Knowledge of containerization technologies (Docker) and orchestration platforms (Kubernetes).
• Background in financial trading systems or market data infrastructure.
• Familiarity with Agile methodology and tools (SAFe, JIRA, Confluence).
• Strong knowledge of messaging frameworks such as Kafka or ZeroMQ.
• Ability to work independently and collaboratively in a global, dynamic team environment.

Responsibilities:

• Support data collection and analysis for risk reporting
• Assist in preparing reports and presentation materials
• Work closely with cross functional teams to gather data requirements and ensure data integrity
• Identify opportunities for process improvement and operational efficiency

Requirements:

• Strong understanding of the application of data analytics and processing tools
• Experience in Tableau, MS Excel, etc.
• Good oral and written communication skills
• Work experience in financial industry is preferred but not required.

Responsibilities:

• Identify and assess potential candidates

• Conduct interview and manage selection procedures

• Design job descriptions and interview questions

• Organize and attend recruitment events

• Lead discussions in quarterly and annual hiring needs by department

• Foster long-term relationships with past applicants and potential candidates

• Involve actively in Human Resource activities with regards to Hiring and Managing of potential candidates

Requirements:

• Degree in any Discipline

• Candidates with strong track record in sports or co-curricular activities will have an added advantage

• Candidate with great team spirit, persistency, good communication and interpersonal skills are welcome to apply

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Summary

• Basic up $2,500 - $3,500 (Based on experience)
• 5day work, Office hours
• Island Wide

Job Scope:

• Conduct onsite inspections and troubleshoot technical issues at clients' premises.
• Perform hands-on preventive maintenance, repairs, and installations of equipment.
• Diagnose errors and technical problems to determine and implement effective solutions.
• Carry out testing and commissioning of systems and equipment.
• Coordination work on and off site
• Collaborate with engineers on project management, equipment installation, and maintenance services.
• Handle ad-hoc tasks and other duties as assigned by the company

Job Requirement:

• Diploma/Degree in Electrical or related engineering studies
• Entry level is welcomed, full training will be provided.

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

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Yong Pei Pei (R24124478)

About OSL

OSL is the first HK-based and SFC-licensed Virtual Asset Trading Platform. Offering over-the-counter (voice and electronic) digital assets execution, an agency exchange platform, customer segregated assets and the world's best insured custody solution of digital assets.

As the first SFC-licensed, HK-listed (863 HK) and ‘Big-four’-audited digital asset and fintech company, OSL is one of the largest digital asset platforms, providing principal brokerage, custody, exchange and SaaS services to institutional clients and professional investors.

Overview

We are looking for a skilled Data Analyst to help establish and standardize data processes across the company and its business lines. This is a unique opportunity to build our data foundation from scratch (0–1) and drive meaningful business impact through data insights.

As part of our early-stage team, you’ll thrive in a fast-paced environment where your ideas and expertise will be highly valued. You’ll work on building critical data infrastructure, shaping growth strategies, and supporting market expansion efforts in new countries. If you’re passionate about solving complex problems, leveraging data to influence decisions, and being part of a team that drives real business growth, this is the role for you.

Why Join Us Now?

• Early-Stage Impact: Be part of the foundational team building the company’s data infrastructure and warehouse.
• Dynamic Growth Opportunities: Work alongside our expanding business to explore and develop strategies in new markets and countries.
• Influence and Ownership: Use data insights to shape growth strategies, drive decision-making, and have a direct impact on business outcomes.

Key Responsibilities:

Data Standardization and Framework Development:

• Establish and enforce company-wide and business-line-specific data standards.
• Collaborate with cross-functional teams to align data practices with business needs.

Data Infrastructure and Pipeline Management:

• Design and build scalable ETL pipelines and data warehouses using tools like MySQL, Google Cloud, and AWS.
• Maintain data integrity and ensure seamless data accessibility for analytics.

Data Analysis and Insights Generation:

• Conduct product, growth, and operational analytics to uncover trends, inform strategy, and optimize performance.
• Partner with teams to translate business questions into analytical solutions.

Data Visualization and Reporting:

• Create dashboards and reports using data visualization tools to communicate insights effectively.
• Ensure stakeholders have actionable insights to drive business decisions.

Market Expansion Analytics:

• Support business expansion into new markets by analyzing data to inform strategy and identify opportunities.

Ideal Candidate Profile:

Experience:

• 3–5 years in a data analyst role within an internet or tech company.
• Proven experience in product analytics, growth analytics, operations analytics, or data product development.

Technical Skills:

• Proficient in data warehouse architecture and ETL pipelines.
• Hands-on experience with tools like MySQL, Google Cloud, AWS, and data visualization tools (e.g., Tableau, Power BI, or Looker).

Soft Skills:

• Strong problem-solving and critical thinking abilities.
• Excellent communication skills to explain complex data insights to diverse audiences.

Language:

• Fluent in English and Mandarin to collaborate effectively across teams and markets.

• Bachelor's degree in Data Science, Statistics, Finance, or a related field.
• Proven experience as a Data Analyst or similar role in the financial services industry.
• Proficient in data visualization tools such as Tableau or Power BI.
• Strong knowledge of SQL and experience with data querying and manipulation.
• Experience with statistical analysis software such as R or Python.
• Ability to communicate complex data insights effectively to non-technical stakeholders.
• Strong attention to detail and problem-solving skills with a commitment to accuracy.

Job Summary:

A HR Trainee’s job is a dynamic role. It not only encompasses recruitment but also business development, account management, marketing, customer service all rolled into one. It is about understanding people’s needs and motivations, and managing clients’ and candidates’ expectations. It is also about building relationships. It may be a challenging role but very meaningful one!

Responsibilities

• Business Development: Initiate a range of business development and marketing activities to build new corporate clients and grow your own client portfolio.
• Account Management: Manage internal and external stakeholders and clients on their hiring needs.
• Talent Acquisition: Engage in candidate sourcing activities, such as publishing job advertisements and conducting candidate referrals, to ensure a consistent supply of candidates to meet client's needs.
• Candidate Management: Manage candidates’ job needs and expectations, their payroll and employment benefits.

What do you get to learn?:

• Paired 1 to 1 mentorship according to working style
• Client visit with mentor to gain broader experience and to experience client’s workplace
• Improved communication skills & tactics
• Mapped Progression with the Company

Get to Enjoy:

• Quarterly events and bonding workshops
• Great Team Spirit
• Big and cohesive division
• Comprehensive Training
• Dynamic Working environment
• Exciting Opportunities to develop a rewarding career

Requirements

• Minimum Degree in any field of study.
• Strong interest in marketing and/or business development with good business acumen
• Applicants with good track record in sports or other co-curricular activities in school will have an added advantage
• Possess enthusiasm and most importantly, passion for people
• On the job training provided!

Interested applicants, please email your updated CV to [email protected]

We regret to inform that only shortlisted applications will be contacted.

EA Personnel No: R21103938

EA Personnel Name: Reina Ng Hwee Min

Company Registration Number: Recruit Express Pte Ltd (99C4599)

Job Responsibilities:

• Promote and sell surgical devices and hospital supplies represented by the company

• Identify and increase opportunities in target markets

• Consistently keep updated on product, market and competitor knowledge

Job Requirements:

• Degree, with a minimum of 1-year marketing/sales experience

• Experience in medical device/pharmaceutical sales will be an advantage

• Possess a Class 3 driving license and preferably owns a car

• Willing to travel for work purposes

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Location: Raffles Place

Working hours: 9am to 6pm (Mon to Fri)

Duration: 13 January till 18 June 2025

• Process corporate action events for Singapore and Foreign markets
• Ensure no disruption in daily BAU in terms of accuracy and timeliness to meet Service Level Indicator as established with Business
• Attend to internal and external customers’ queries received from internal Business units
• Adhere to documented procedures, control guidelines and compliance framework
• Handle ad-hoc assignments/initiatives as assigned

Requirement

• Minimum GCE A level, Diploma/ Degree in any field

Interested applicants please send your resumes to [email protected]

Jessica Nguyen Huynh Thanh Truc

Recruiter (R23113787)

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

ViSenze, an AI-powered Commerce Search and Discovery platform, is looking to hire a motivated and experienced Data Scientist

We revolutionize the retail industry with product discovery solutions, processing over a billion monthly queries globally from retailers such as Myntra, Ajio, Meesho, Rakuten, Zalora, Mango, and Target

Our mission is to empower customers to 'See. Style. Shop', and we need you to help us continue to deliver this promise

Responsibilities

• Understand complex real-world problems and leverage domain knowledge to develop reliable models
• Strategize ways of constructing training datasets that are representative, diverse and free of bias
• Continuously review model performance with sharp analytical skills, identify potential issues and improve them iteratively
• Optimize workflows and processes, as well as develop useful tools to boost the efficiency and scalability of routine tasks
• Provide requirements for new or existing internal tools to improve internal analytical capabilities, pipelines and platforms
• Be an expert in communicating insights and recommendations to audiences of varying levels of technical sophistication

• Bachelor’s degree in Computer Science, Electronic Engineering, Statistics, Applied Mathematics, Operation Research, or a related quantitative Bachelor’s or Master’s degree
• Familiar with Python is a must
• Familiar with essential data science libraries, including Pandas, Numpy, Scipy, Scikit-Learn and Matplotlib
• Sound knowledge of popular deep learning frameworks, such as PyTorch, TensorFlow, MXNet, Caffe, etc
• Strong problem-solving mindset, down-to-earth attitude, passion for machine learning and everlasting curiosity to learn

Good to Have

• Excellent communication skills - able to present their findings and models to senior stakeholders
• Experience in deploying models and systems into production environments
• Knowledge of golang
• Experience with developing Deep Convolutional Neural Networks (CNN)
• Familiar with Software Development Life Cycle (SDLC)
• Fluent in Data Visualization

WhatsApp: +65 90820021 (Kyler)

Email: [email protected]

Monday to Friday | 9am to 6pm

Basic Salary: $2500 - $2800 +AWS+PB

Address: Clementi

Requirement

• Diploma in a relevant discipline
• At least 1 year of relevant Finance/accounting experience

Responsibilities

• Obtaining information from donors / team members, data entry of donor particulars, and issuance of tax deduction receipts / thank you letters to donors.
• Reconciliation of bank statements, petty cash balance and stock of groceries / vouchers
• Preparation of payment vouchers and other finance-related matters
• Maintaining proper filing of finance and admin records to facilitate year-end audit process
• General office admin work such as facilities management (e.g. follow-up with air-con servicing and pest control vendors), office supplies (e.g. stock-take and ordering new supplies)
• Other duties as assigned by the Finance Manager or CEO

The Supreme HR Advisory Pte. Ltd | 14C7279

Gan Kai Le | R23112683

Job Description

· Conduct and analyse market research on commercial-defense products with AI technologies to identify market demand, growth opportunities and competitive threats

· Translate global and regional market intelligence into actionable insights that inform strategic product direction and commercial planning.

· Provide senior leadership with clear, data-driven reports on market trends, customer demands, and emerging technologies that could influence business strategy.

· Ensure compliance for advanced networks, sensors, and AI technologies by managing certification processes and maintaining adherence to industry regulations.

· Develop and optimize pricing strategies for networks, sensors, and AI-based solutions that balance profitability with competitive positioning.

· Lead the development and execution of GTM strategies for advanced networks, sensors, and AI products, targeting both regional and global market penetration.

· Partner with the Product Managers, Marketing and International Business to execute GTM plans that align with customer needs and business objectives.

Requirements

· Bachelor’s degree in Business, Engineering or a related field; advanced degree (MBA or M.S.) or certifications in Digitalisation, AI and Data Science.

· Experience: 5+ years in start-ups or corporate roles in commercial business functions that focused on business model innovation, go-to-market analysis, compliance and commercialisation in the AI, telecommunications and tech sectors.

· Solid understanding of market dynamics and regulatory requirements, with in-depth knowledge of compliance and certification processes relevant to the industry.

· Develop and implement pricing strategies and go-to-market plans.

· Preferred: Proficiency with advanced networks and sensors with AI applications.

· Strong written and verbal communication skills, with experience in delivering markets, business and commercialisation insights and recommendations to senior management.

· Exceptional organizational skills and the ability to manage complex, cross-functional initiatives with multiple stakeholders.

· Leadership: Experience leading teams and fostering collaboration across product, finance, and commercial departments.

· Singaporean only.

· Location: Jurong East / Ang Mo Kio.

Please submit resumes to [email protected]

- 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.

Permanent, 5 days, Toa Payoh

Our client:

Data center Cooling Solution Provider

The candidate will be responsible for managing partnerships and channel relationships to drive growth and expand our market presence. This role requires a strategic thinker with excellent communication skills and a proven track record in the Data Center industry.

Job scope

1. External Partnership Management n channel management

· Identify, evaluate, and establish strategic partnerships with key stakeholders in the data centre industry.

· Have win win mindset and proficient with negotiating partnership agreements

· Develop and maintain strong relationships with

· Identify and onboard new channel partners (reseller , distributor)

· To develop n execute channel strategies to maximize market reach and sales performance.

· To engage with channel partners, including training, marketing materials, and joint marketing campaign

· Visit channel partners to offer support, gather feedback, and assess market needs.

Internal

· Work closely with internal teams, including sales, marketing, and product development, to ensure alignment and coordination.

Requirement:

• Bachelor’s degree in sales/marketing / mechanical engineering
• 3 years of experience in business development, partnership, and seller channel management in data centre industry.
• Able to travel as required.
• Experience in asia market an added advantage

please email your resume in microsoft word format to [email protected].

Job Summary

We are seeking a highly skilled and experienced SAP Data Migration Lead. In this critical role, you will be responsible for leading and managing the end-to-end data migration process from SAP ECC to S/4 HANA as part of a bluefield migration project. This role requires a strategic thinker with a solid understanding of SAP modules, data migration methodologies, and risk mitigation strategies.

Mandatory Skill-set

• Bachelor’s degree in Engineering, Computer Science, Information Systems
• Min. 5 years of proven track record of managing SAP data migration, rollouts, and implementation projects;
• Strong familiarity with SAP implementation methodologies and business process reengineering programs;
• Exceptional data strategy creation & project management skills with a history of delivering projects on time and within budget;
• Good understanding of various SAP modules such as FICO, PS, PM, EAM;
• Strong problem-solving and analytical abilities;
• Excellent communication and stakeholder management skills;

Desired Skill-set

• Certifications in PMP, PRINCE2, CBAP, or ITIL;
• Knowledge of plant maintenance best practices.

Responsibilities

• Develop a comprehensive data migration strategy tailored to a bluefield migration project, minimizing risks through detailed data change impact analysis;
• Oversee the entire data migration lifecycle, including Preload and Post-Load validations, ensuring timely and successful execution;
• Manage data extraction, cleansing, transformation, enrichment, validation, and reconciliation during migration;
• Coordinate the migration of data, documents, and content from ECC and other legacy systems to S/4 HANA;
• Conduct a thorough analysis of data changes, assess associated risks, and address challenges to ensure a smooth transition;
• Perform simplification item checks to confirm data consistency and relevancy, coordinating with stakeholders to resolve incomplete data issues;
• Design ETL processes and oversee manual data transformations to SAP-loadable values;
• Ensure data integrity across modules (MM, EAM, FICO, PS) and subsystems within the S/4 HANA environment;
• Implement robust data quality controls, including monitoring and auditing, to maintain long-term data integrity.

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

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

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

EA Licence No. 07C5639