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

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

Our Recommendation Architecture Team is responsible for building up and optimizing the architecture for our recommendation system to provide the most stable and best experience for our TikTok users.

The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems.

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 data 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

- Apply 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

- Bachelor's degree or above in computer science, software engineering, or a related field

- 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.

- Familiar with Java, C ++ and other programming languages

- Strong coding and trouble shooting ability

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.

We are seeking a Data Architect with expertise in the banking and capital markets sector, focusing on Risk & Regulatory (Risk & Reg) reporting. This role involves designing data architectures to support financial data mapping and compliance with regulatory requirements. You will work with cross-functional teams to ensure robust, scalable, and compliant data solutions.

Responsibilities:

• Design and implement scalable data architectures for risk and regulatory reporting.
• Map financial data to regulatory reporting frameworks, ensuring compliance with relevant standards.
• Collaborate with stakeholders across finance, risk, and technology teams to deliver tailored data solutions.
• Leverage Microsoft Azure technologies for data warehousing, governance, and analytics.
• Support integration and optimization of financial and risk data within enterprise platforms.
• Provide leadership on data management, modeling, ETL pipeline design, and governance frameworks.

Requirements:

• Proven experience as a Data Architect, preferably in banking or capital markets.
• Strong understanding of risk and regulatory reporting frameworks (e.g., Basel III/IV, IFRS).
• Hands-on experience with Microsoft Azure (Data Lake, Synapse Analytics, Azure SQL).
• Proficiency in ETL tools, data modeling, and cloud-based data platforms.

Preferred Qualifications:

• Certifications in Microsoft Azure (e.g., Azure Data Engineer, Azure Solutions Architect).
• Experience in delivering large-scale data projects in a regulated environment.
• Knowledge of financial reporting systems and risk management practices.

EA: 14S7084 | Registration No: R1981018

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.

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

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

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore intends to hire tenure-track faculty members whose expertise is in Statistics and Data Science. The positions can be at any level. A PhD in statistics or a related field is required.

Applicants should send an application letter, a CV, a research statement and a teaching statement and arrange for at least three reference letters to be sent directly to the NUS Career Portal.

Qualifications

• A PhD in statistics or a related field is required.

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 2+ 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.

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Set and advance sustainability targets, balancing financial and environmental goals.
• Implement effective reporting systems; collaborate on performance benchmarks.
• Lead sustainability communications; create educational materials.
• Formalize sustainability practices through documentation and reviews.
• Monitor and report on sustainability metrics; conduct audits.

Requirements

• Experience in a related field preferred.
• Knowledged of BCA Green Mark for Data Centre and Buildings, ISO 14001 Environment Management System, SS564 Green Data Centre etc

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants

Please WA Justine @ 9755 9161

Shortlisted candidates will be notified

Justine Lam Nyok Yuen

Reg No. R1218722

Julian Grey Corporate Advisory Pte. Ltd.

EA License No: 19C9568

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

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

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

E-commerce is a new and fast growing business that aims at connecting all customers to excellent sellers and quality products on TikTok Shop, through E-commerce live-streaming, E-commerce short videos, and commodity recommendation. Our E-ecommerce Recommendation Infra team is responsible for building up and optimizing the infrastructure for such recommendation systems, so as to provide the most stable and best experience for our users. We work closely with applied machine learning engineers and build scalable systems to support all kinds of innovative algorithms and techniques.

The team is responsible for system stability and high availability, online services and offline data flow performance optimization, solving system bottlenecks, reducing cost overhead, building data and service mid-platform, realizing flexible and scalable high-performance storage and computing systems.

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 data 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

- Apply 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

- Bachelor's degree or above in computer science, software engineering, or a related field

- 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.

- Familiar with Java, C ++ and other programming languages

- Strong coding and trouble shooting ability

- Willing to challenge questions that have no obvious answers, and have a strong enthusiasm for learning new technologies

- Experience of Peta Byte level data processing is a plus

- At least 3 years of relevant experience

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.

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.

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 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.

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

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.

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.

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Set and advance sustainability targets, balancing financial and environmental goals.
• Implement effective reporting systems; collaborate on performance benchmarks.
• Lead sustainability communications; create educational materials.
• Formalize sustainability practices through documentation and reviews.
• Monitor and report on sustainability metrics; conduct audits.

Requirements

• Experience in a related field preferred.
• Knowledged of BCA Green Mark for Data Centre and Buildings, ISO 14001 Environment Management System, SS564 Green Data Centre etc

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

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

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Deploy, administer, and support database and data lake infrastructures.
• Formulate and execute plans for high availability, backup, recovery, and disaster preparedness.
• Diagnose and resolve database issues and optimize performance.
• Enforce industry-standard security measures, policies, and best practices.
• Enhance clients' data warehouses and data lakes, and maintain comprehensive documentation.

Requirements

• Proficiency in Database Administration.
• Experience with Linux operating systems and scripting.
• Practical experience with at least one of the following: Hadoop Distributions, Relational Databases, or NoSQL Databases.
• Advantageous knowledge in one or more of the following areas: Data Virtualization tools, Scripting languages, Cloud platforms, and Docker/Kubernetes environments.

Follow us for more updates, interview tips!
https://www.instagram.com/juliangreygroup/
https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

Permanent, 5days, Paya Lebar

Our client

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

Data center Hvac Service Manager

Job scope
• Lead field service engineer team in data center hvac servicing and maintenance work
• Develop and implement maintenance schedules Hvac.
• Conduct regular site inspections to ensure maintenance quality and safety standards are met.
• Prepare detailed work method statement (wms) for maintenance Project and all mission critical work environment work documentation
• Ensure service team adhere to industry standards and safety regulations.


Requirement

-Diploma in Mechanical Engineering
- 5 years of experience in hvac maintenance, with at least 3 years in a senior engineer or management role.
- Proficient in hands-on experience with chiller, cooling towers, pumps equipment’s, AHUS,MAUs, FCUs,DX
-Strong technical skill and documentation knowledge of data center hvac equipmentmaintainence and troubleshooting

-Proficient in creating clear and comprehensive work method statements, pre work documentation, risk assessment etc

-Bilingual

Added advantage

Data center hvac

pls apply via https://zurl.to/YRDp?source=CareerSite

or

this website

Job Purpose

The Finance Data Specialist plays a critical role in the execution of our APLL Finance transformation mandate by actively supporting data-driven business intelligence initiatives. This role will act as a bridge between Finance, business units and IT. It requires close collaboration with cross-functional teams in understanding business requirements and designing and developing the data architecture for BI solutions and visualization. Key deliverables include proactively providing timely, reliable and easy-to-use financial information and valuable and actionable insights to help drive high-impact business changes and strengthen financial performance analytics.

Roles & Responsibilities

Data Governance, Strategy and Collections

• Support the development and execution of Finance data, governance and analytics strategy and roadmap.
• Collaborate with finance and business stakeholders to understand business logic and their analytics needs, identify data metrics and document the requirements.
• Translate business needs into specifications and data requirements. integrate business and financial data to establish a solid foundation for financial analysis or reporting solutions.
• Work closely with business partners and IT to design, define and develop end-to-end data pipelines for BI solutions: build instrumentation and define dimensional models, tables or schemas that support business processes.
• Contribute to the development and maintenance of databases and data pipelines. This ensures data quality and accessibility for analysis.
• Gather data from various sources (databases, APIs, web scraping, etc.), clean it, and transform it into a usable format. This often involves dealing with datasets that have challenges including missing values, lump sum amounts, inconsistencies, and different data types.
• Design, write and support extract, transform, and load (ETL) processes of finance and business operations data from various sources, deliver insightful data findings for business success

Data Analytics and Business Intelligence

• Conduct “deep dive” reviews of financial data to uncover trends and patterns. Deploy different types of advance data analytics to identify anomalies, outliers and leakages in transactions to mitigate risks and optimize profit.
• Align with stakeholders on key metrics, design and propose experimentation strategies to continually raise the bar on our analytical capabilities
• Ensure data accuracy by mining, cleaning, and analyzing large datasets for effective use-case development of BI and dashboard visualization solutions.
• Interpret results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex data mining.
• Develop, optimize financial reporting and enhance data automation to enable reliable self-service reports and streamline financial closing process.
• Use BI tools to create compelling data visualization and dashboards to generate timely, meaningful and actionable insights in driving critical business decision making.
• Predictive Modelling: Building models to forecast future outcomes based on historical data. This can involve machine learning techniques like regression, classification, and clustering.
• Support projects or gathering of additional data for ad-hoc analysis as needed

Qualification

• Bachelor’s degree in Finance, Accounting, Business, Mathematics, Statistics, Economics, Computer Science or any other related discipline or commensurate work experience or demonstrated competence
• Proven experience in financial data analytics, reporting automation, and Power BI tools.

Requirements

• At least 3 – 5 years of financial/business/data analysis experience.
• Experience in audit or logistics industry is a plus.
• Strong understanding of finance principles, datasets and business processes.
• Self-motivated, forward-thinking, resulted orientated and the ability to manage priorities.
• Ability to self-start and self-direct work in an unstructured environment, comfortable dealing with ambiguity.
• Strong analytical skills, curious, meticulous, innovative and resourceful to resolve issues.
• Good business acumen with the ability to synthesize complex data from different source into meaningful insights and actionable information to stakeholders.
• Vocal and confident to voice constructive challenges to business assumptions.
• Good perspective in achieving results both short and long term and be held accountable.
• Strong communications and interpersonal skills in a multicultural environment with a good command of spoken and written English to influence and motivate.
• Eagerness to learn and adapt to new tools, techniques, and technologies in the field of data analysis
• Experience building/applying statistical and/or machine learning solutions to solve business problems and facilitate interactive data visualization.
• Good understanding of data design pattern differences between transactional ERP systems (e.g. SAP) and analytical data warehouses (e.g. Teradata, Snowflake)
• Proficient in data analysis tools (e.g. Excel, SQL) and BI tools (e.g. Power BI, Microsoft Fabric, Tableau)
• Familiarity with scripting or programming languages (e.g. Python, R) for advanced analytics.

Key Results Area

• Deliver timely and seamless execution of projects that align with organizational objectives and needs, meeting the stipulated scope and budget.
• Excellent business collaboration skills and the ability to communicate effectively with a broad and diverse group of stakeholders to ensure stakeholder needs are met.

• Proficiency in Scala programming and functional programming principles.
  • Strong SQL skills, including query optimization and database design.
  • Hands-on experience with Hadoop ecosystem tools (HDFS, Hive, YARN, MapReduce).
  • Familiarity with other big data tools like Spark, Kafka, or Flink is a plus.
• Problem-Solving:
  • Strong analytical skills with the ability to troubleshoot and resolve complex data issues.
• Communication:
  • Excellent communication skills to effectively collaborate with technical and non-technical stakeholders.
• Experience:
  • 6+ years of experience in data engineering, big data technologies, or a similar role.

Senior Legal Counsel (Tech, Gaming)

We are currently engaged by my client, who is a leader in mobile gaming that has captivated more than 20 million of players worldwide.

What you’ll be doing:

• Reviewing, drafting and negotiation of contracts related to the company’s business
• Providing support and legal advice in relation to corporate matters
• Liaising with external counsels and advisors
• Contract review and Management
• Participation in various projects with the Compliance, Commercial and Finance teams
• Providing legal advice on matters relating to intellectual property rights, data protection, general commercial and contract law matters and dispute resolution
• Conducting legal research and preparing memoranda or legal analysis for internal stakeholders
• Providing day-to-day legal support to the Management and other teams in the company, such as Marketing, Product and Tech teams
• This role will report directly to the CEO for all legal matters across SEA region

What you’ll bring to the role:

• At least 7 years PQE (qualified in Singapore, US, UK or other comparable common law jurisdiction)
• Legal and regulatory compliance experience in-house or in law firms
• Prior regional experience working on related matters in the technology field will be a plus
• Keen interest and good understanding of developments in the internet, technology-related space
• Excellent problem-solving, analytical and organizational skills
• Proactive approach and ability to handle matters independently

Regret to inform that only shortlisted candidates will be notified.

www.dadaconsultants.com

EA Registration Number: R1878287

Business Registration Number: 201735941W.

Licence Number: 18S9037