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.

Responsibilities:

• Collaborate with the Head office to understand data governance requirements and ensure timely and accurate delivery of related tasks.
• Review and develop the bank’s data governance policies and procedures in accordance with the Head Office’s policy and regulatory requirement.
• Assist in the development of data quality management framework, including conducting training sessions to facilitate effective implementation and perform periodic reviews with relevant departments to identify and address data quality issue.
• Serve as Business analyst to document the requirements relating to regulatory reporting or data management, and effectively communicate these requirements to IT Department;
• Utilize the internal data visualization tools to assist users in executing data analytics and visualization projects.

Requirements:

• Bachelor or higher degree in Mathematics, Computer Science, Statistics, Data Science or equivalent professional certificates.
• At least 2 years of business analyst or data management experience, experience of data governance in banking industry is preferred
• Knowledge of data governance practices and methodology
• Knowledge of database and SQL programming
• Self-driven, a team player and good coordination
• Strong data related analytical skills with an eye for details
• Good communication skill in English and Mandarin and ability to interact effectively with people at different level.
• Strong business acumen with excellent communication skills

About the Team:

The mission of the Marketplace Intelligence and Data team is to build large-scale data and intelligent products to facilitate the growth of Shopee's e-commerce business. This team is responsible for building Shopee's e-commerce data warehouse, development of merchant and operational data products, end-to-end traffic data products, product algorithms (including product listing, control, information optimization, SPU, etc), promotion algorithms (including product recruitment, product selection, and recommendation algorithms), review algorithms, user profiles, as well as fundamental artificial intelligence capabilities such as machine translation, speech algorithms, image algorithms, and KYC verification.

Job Description:

We are looking for a dynamic and experienced Technical Product Management Lead to oversee the development and management of data products and systems that empower Shopee’s marketplace. As a lead in this critical team, you will drive technical project delivery from request planning, competitor analysis, development, testing, UAT, and launch. You will also guide cross-functional teams, and ensure alignment between business goals and technical solutions. The ideal candidate has strong leadership experience and deep domain knowledge in e-commerce, data intelligence, and large-scale product development.

Key Responsibilities:

• Lead a team of Product Managers to define, prioritize, and execute the product roadmap for Shopee's Marketplace Intelligence and Data initiatives.
• Drive end-to-end product development of technical projects, from ideation, data analysis, testing, launch, and iterations.
• Utilize your domain knowledge in e-commerce and data to identify opportunities, solve complex challenges, and shape the future of marketplace intelligence.
• Conduct comparative analysis and market research to identify opportunities, gaps, and areas of improvement for current solutions.
• Manage stakeholders’ expectations and project timelines, maintain good relationships with stakeholders, and deliver projects in alignment with business objectives.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 4+ years of experience in product management, with a focus on technical and data-driven products.
• Proven leadership experience, managing teams or projects in a product management or technical capacity.
• Strong domain knowledge in e-commerce, marketplace operations, data intelligence, and experience in e-commerce, Internet or IT companies.
• Experience working with large-scale data systems, including knowledge of data pipelines, analytics, and machine learning applications.

We are seeking a meticulous and tech-savvy Data Cleanup Specialist to join our Client Solutions team. The ideal candidate will be responsible for cleaning, transforming and migrating data into Salesforce, ensuring its accuracy, consistency, and compliance with company and regulatory standards. This role involves collaborating with cross-functional teams to maintain data quality and support effective CRM operations.

Key Responsibilities:

Data Cleaning and Transformation:

• Analyse and clean data to remove duplicates, correct errors, and standardize formats.
• Data assessment: Reviewing data to understand the volume, format, and quality.
• Transform legacy data into Salesforce-compatible formats using ETL (Extract, Transform, Load) tools

Data Migration and Maintenance:

• Map and import data into Salesforce using tools like Data Loader or Salesforce Inspector.
• Conduct post-migration quality checks to ensure data integrity.
• Assist to develop and implement strategies for ongoing data hygiene.

CRM Expertise:

• Preferably to understand Salesforce and/or other CRM data model, including objects, fields and relationships.
• Collaborate with stakeholders to understand field mappings and resolve data-related issues.

Data Governance and Compliance:

• Ensure all data handling adheres to applicable privacy regulations (e.g., PDPA).

Collaboration and Support:

• Work closely with Client Solutions, our vendor and IT teams to understand data requirements.
• Provide support on data best practices.

Automation and Reporting:

• Generate reports to monitor data quality and identify areas for improvement.

Job Requirements

• Diploma graduate with minimum 1-2 years working experience in data input and analysis roles.
• Experience with the CRM system, Salesforce and proficient in MS Excel.
• Understanding Salesforce objects (e.g., Leads, Contacts, Accounts, Opportunities) and relationships
• Experience with Excel to analyse and identify data inconsistencies
• Knowledge of standardizing formats, deduplication, and handling missing values.

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

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

2. 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.

3. Familiar with Java, C ++ and other programming languages

4. Strong coding and trouble shooting ability

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

6. Experience of Peta Byte level data processing is a plus

7. 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.

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

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.

Our client

5 days, Permanent, Eunos

MNC for maintaining data center

Job Scope

· To Work with data centre service provider

· To be responsible for (critical facility operation)

· To manage the (preventative maintenance.) on critical systems, responding the emergent failure and tracking

· To be in charge capacity management) of facility systems including (power and cooling), etc.

· .

· projects management for improving the capacity, efficiency and reliability of current facility system.

· Supporting IT manager (IT) n new site team on their project and operations.

Requirement

· Bachelor’s degree in engineering of electrical, mech or related field.

· 6 years facility management experience in large building. OR

· 5 years of critical facility management in data centre or

· 5 years’ experience and knowledge of MEP equipment such as (UPS, generator, Chiller, Pump, cooling tower), etc.

· Bilingual

please email your resume to [email protected]

we regret that only shortlisted candidate will be notified

Responsibilities:

• Govern internal processes to ensure compliance with established security protocols and audit

requirements.

• Assist in managing user access to the AI and data model, ensuring appropriate permissions are

granted and maintained.

• Conduct regular audits of user access and governance processes, identifying and addressing any

discrepancies or issues.

• Work closely with internal team, IT, and business teams to ensure AI and data models are compliant

with governance policies.

• Support the documentation, tracking, and monitoring of AI and data models.

• Assist in the development of training programs and resources to raise awareness of AI and data

governance practices within the organization.

• Stay updated on global trends in AI governance, data protection laws, and best practices, providing

insights to the team.

• Help prepare reports and presentations on AI and data governance metrics and improvements.

Requirements:

• Diploma in AI Governance, Data Science, Information Technology, Law, Ethics, or a related field.

• Basic understanding of AI technologies, data governance, and compliance frameworks.

• Strong analytical and problem-solving skills with attention to detail.

• Good communication skills, with the ability to collaborate effectively across teams.

• Ability to learn quickly and adapt in a fast-paced environment.

To Apply:

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile.

We regret that only shortlisted applicants would be notified.

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.

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E • EA License No. 01C4394• Reg No : R1654858 | Soo Sheng Hui

Job Description

• Being a member of the Architecture Committee to facilitate AC meetings with internal and external technical stakeholders and SMEs.
• Continuously improve the architecture of Data Analytics Platform.
• Develops proof of concepts (POC’s) to evaluate new technologies and makes recommendations.
• Develops, enhances and enforces the company's system standards, best practices and guidelines.
• Designs and/or Proposes enhancements to improve the performance, availability and reliability of the cloud computing environment for Data Analytics Platform.
• Continuously monitor and improve Data Governance Process.
• Also improve the quality of the Data Analytics service from business users’ perspective.
• Accountable for the system architecture of the enterprise-wide Data Analytics Platform.
• Work with internal and external system architects and technicians to keep the architecture of the Data Analytics Platform healthy and elastic.
• Manage the lifecycle of the Data Analytics Platform and maintain plans for the next 5 years.
• Proactively understand the demand from business users and factor them into the architecture enhancement plans.
• Monitor the system performance of the Data Analytics Platform to always meet the service levels.
• Keep the Data Analytics Platform stable and maximize the availability.
• Manage the Processes and Guidelines on Data Governance.

Qualifications and Experiences

• Experience to design and implement a modern Data Analytics Platform in Google Cloud and similar BI experiences.
• Architect level technical knowledge of relational databases, DataLake and Google Cloud BigQuery
• Architect level technical knowledge of Looker and other BI Tools
• Administrator level knowledge of Collibra or other Data Governance Tool
• Proficiency in Python / Javascript.

Soft Skills:

• Excellent communication and interpersonal skills.
• Strong analytical and problem-solving skills.

Interested applicants please send your resume to [email protected]

Venessa Goh Wee Ni

R24124686

Recruit Express Pte Ltd

EA License No: 99C4599

RCB No.: 199601303W

We regret that only shortlisted candidates will be contacted.

Job Description:
This role supports the team in selecting locations for data centers, coordinating projects, and ensuring smooth progress. Key responsibilities include evaluating and assessing potential sites, managing documentation, reviewing contract terms, tracking project progress, and facilitating effective communication and coordination within the team and with stakeholders. The position is ideal for candidates with industrial real estate experience and familiarity with Singapore's industrial areas, offering a supportive and proactive role.

Responsibilities:

1. Assist the team in selecting data center locations, including site evaluation, information collection, and analysis.
2. Manage internal team documentation, including contract organization, clause review, and proper project data archiving.
3. Track project progress, manage timelines, and ensure projects are executed as planned.
4. Coordinate communication between internal and external stakeholders to ensure smooth project implementation.
5. Provide support for site selection activities, leveraging knowledge of Singapore’s industrial areas and relevant processes to aid decision-making.

Requirements:

1. Diploma or above, preferably with a background in engineering, electrical, or civil engineering.
2. At least 1 year of experience as a project coordination specialist, business specialist, or inside sales representative.
3. At least 1 year of experience in industrial real estate (e.g., logistics, factories, warehouses), focusing on leasing or sales transactions.
4. Familiarity with Singapore's industrial areas and a strong understanding of the basic requirements and processes of industrial real estate leasing.
5. Strong coordination skills, logical thinking, teamwork, initiative, and accountability.
6. Fluency in both Chinese and English for work purposes (strong spoken communication, written skills can be slightly weaker).
7. Technical expertise is not mandatory, but knowledge of electrical or civil engineering is a plus.

Work Location: Singapore
Job Level: Assistant

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 3+ years 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.

To create a better future, you need to think outside the box. That’s why we at Siemens need innovators who aren’t afraid to push boundaries to join our diverse team of tech gurus. Got what it takes? Then help us create lasting, positive impact!

Siemens Smart Infrastructure is seeking a motivated and experienced Sales Lead to drive growth within the Data Center Industry. This dynamic Vertical is rapidly growing and needs a highly motivated sales leader to identify and develop customer opportunities into successful solutions and services for the accounts they will serve.

In Siemens Smart Infrastructure, we embrace change and work with curious minds to re-invent the future of Smart Infrastructure. Join us and let us focus on what’s truly important: making lives better with new ideas and the latest technology worldwide.

You’ll make an impact by

• Have and further develop an in-depth understanding of the local Data Centre industry, including local market dynamics, operational needs and constraints, regulatory nuances, and competitive landscape.
• Lead a team and adhere and participate in sales activities including pre-bid reviews, risk management, bid preparation and ensure proper sales-to-project hand over of secured orders
• Hold responsibility for meeting sales order and revenue, based on the assigned team targets
• Cultivate strong relationships with key accounts, amidst intricate organizational hierarchies and become a trusted advisor for our customers and stakeholders in the Data Centre industry
• Understand customer’s business processes, drivers and develop strategic account plan to support the digital transformation journey of the account.
• Growing Share of Wallet: Expand existing and new customer relationships by identifying upsell and cross-sell opportunities within our solutions and services business
• Articulate Siemens value propositions within the Data Center space, that resonates with diverse stakeholders with an added focus on digitalization and sustainability
• Adopt and leverage internal sales tools to maximize sales effectiveness, provide accurate sales forecasting and enable data driven decision making
• Engage in industry association working groups, to develop domain expertise and represent Siemens as a thought leader in the industry.
• Work closely with relevant internal stakeholders, including Finance and Operations.
• Ensure team’s strong compliance to Siemens Business Conduct Guidelines

You excel in

• More than 5 years of sales experience in any building services, specializing in Data Centre
• Granular understanding of the design and operational requirements of Data Centres, including industry standards, IT/OT integration concepts, etc
• Strong relationship with various stake holders including developers, consultants, builders, facilities managers and general/specialist contractors.
• Possess a Degree in Business / Engineering or equivalent
• Appreciates collaboration and ability to communicate effectively in cross-collaboration opportunities
• Growth mindset and able to embrace a consultative selling approach

Create a better #TomorrowWithUs! We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us

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 hiring top-tier data analyst/data engineers at the different level , 2yrs+ for our trading clients.

What you could expect:

• Dynamic regional team;
• Competitive compensation
• Growth potentials

Job Responsibilities:

• Manage the end-to-end data flow and used for trading flow.

Job Requirements:

• 2+ years of experience in a similar roles.
• Degree from a top-tier univerisities.
• Bacic programming skills in in Python and SQL.
• Strong English communication skills.

License No.22S1076 | EA Reg.: R2197956

Job purpose:

We are seeking a proactive and detail-oriented intern to assist the Data Protection Office (DPO) with various tasks in ensuring compliance with data protection regulations and support the Corporate Services Team with administrative and technological tasks as well as initiatives to enhance operational efficiency.

This internship is designed to provide a comprehensive learning experience for individuals interested in data protection, collaboration tools, and team operations. It offers the opportunity to develop valuable skills in privacy regulations, low-code development, and teamwork, while contributing to the organization’s efforts to safeguard information and optimize internal processes.

Key activities:

• Assist in maintaining data protection documentation, including policies, procedures, and personal data inventories;
• Support DPO in conducting data protection impact assessments (DPIAs) and compliance reviews;
• Assist in designing, testing and troubleshooting SharePoint forms and workflows;
• Collaborate with the team to identify and implement solutions for improved efficiency;
• Perform other ad hoc tasks to support the team operations;
• Provide administrative support to the team members.

Formal education:

• University or college degree or comparable
• Self-motivated and result-oriented
• Ability to interact with cross-functional teams
• Strong analytical and problem-solving skills
• Recent graduates with not more than 1 year of professional work experience (excluding internships)
• Basic knowledge of data protection regulations is a plus
• Singaporeans and Singapore PRs preferred

Job Description:

• Oversee the quality of ratings from external vendors and ensure accurate assessment of Hindi content in relevance to media.
• Generate detailed reports that analyze issues, patterns, and trends specific to Hindi media content.
• Use data analysis tools (SQL, Python, Tableau) to identify insights and uncover relevance issues within query logs and metrics.
• Collaborate closely with statisticians, engineers, and data scientists to evaluate and refine search algorithms.

Requirements:

• BA/BS or equivalent industry experience in Business Administration, Business Analytics, or relevant.
• Experience data analysis tools such as SQL, Python, Tableau.
• Familiar with search and recommendations engines.
• Experience analyzing large data sets and generating reports.
• Able to read and write in Hindi (min. B3 in 'O' level Hindi or equivalent certifications) to read, analyze and write content in Hindi.
• Good knowledge of India media such as music and movie industries is required to support the India market.
• Excellent analytical and problem-solving skills.
• Ability to work effectively with teams on multiple projects under tight deadlines.
• Willingness to be proactive in bringing new, innovative ideas to the table.

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

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

Google isn't just a software company. The Hardware Operations team is responsible for monitoring the state-of-the-art physical infrastructure behind Google's powerful search technology. As an Operations Technician, you'll install, configure, test, troubleshoot and maintain hardware (like servers and its components) and server software (like Google's Linux cluster). You'll also take on the configuration of more complex components such as networks, routers, hubs, bridges, switches and networking protocols. You'll participate in or lead small project teams on larger installations and develop project contingency plans. A typical day involves manual movement and installation of racks, and while it can sometimes be physically demanding, you are excited to work with infrastructure that is at the cutting-edge of computer technology.

Additional job description

As a Data Center Technician, you will deploy and maintain Google's advanced Data Center Server and Network Infrastructure by installing, configuring, testing, troubleshooting, and repairing hardware and server software. You will also take on the configuration of more complex components (e.g., networks, routers, bridges, and switches). You will participate in or lead local project teams on larger installations and develop project contingency plans.

Qualifications

Job responsibilities

• Contribute to efforts/projects in the deployment, maintenance, and support of current and new data center infrastructure.
• Learn and apply skills in repairing and troubleshooting different machine platforms.
• Participate in complex troubleshooting and resolve critical technical issues.
• Test and troubleshoot new server and network hardware components and designs.
• Install and maintain switches, routers, and other large-scale networking gear.

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• Experience diagnosing and troubleshooting one of the following: operating systems and computer/server hardware or networking protocols.
• Experience with performing component-level repairs on IT equipment.
• Ability to lift/move equipment and exert yourself physically over extended periods of time.
• Ability to work non-standard hours, including working weekends, holidays and on shift-based schedule as required.

Preferred qualifications

• Experience in maintenance of server systems.
• Experience working within a data center or network operation center environment.
• Experience with troubleshooting hardware and network issues using Linux tools.
• Knowledge of networking, including topology and protocol.
• Excellent people and communication skills.

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

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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

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.

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.

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.

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

We are seeking a skilled and experienced Deployment Engineer to join our dynamic IT team. The ideal candidate will have extensive experience with hypervisors, network infrastructure, and system services, with a strong focus on deployment and implementation. This role requires a proactive individual who can manage and optimize our IT environment to ensure smooth and efficient deployments.

JOB DESCRIPTION:

· Plan, coordinate, and execute the deployment of virtual environments using vSphere, Nutanix, and Hyper-V.

· Ensure seamless integration and deployment of network switches, firewalls, and storage solutions.

· Implement and manage deployment processes for system services such as Active Directory, DHCP, DNS, failover clusters, file servers, and Certificate Authority.

· Configure and manage deployment environments to ensure optimal performance and security.

· Maintain detailed documentation of deployment configurations, processes, and procedures.

· Monitor deployment processes and environments to identify and resolve issues promptly.

· Perform post-deployment validation to ensure systems are functioning as expected.

· Work closely with development, operations, and security teams to ensure successful deployments.

· Communicate deployment status, issues, and resolutions to stakeholders.

· Develop and maintain automation scripts to streamline deployment processes is a plus.

· Utilize tools such as PowerShell, Ansible etc to automate repetitive tasks and ensure consistency is a plus.

JOB REQUIREMENTS:

· Bachelor’s degree in computer science, Information Technology, or a related field.

· Proven experience with hypervisors (vSphere, Nutanix, Hyper-V) and deployment processes.

· Strong knowledge of network switches, firewalls, and storage solutions.

· Hands-on experience with system services such as Active Directory, DHCP, DNS, failover clusters, file servers, and Certificate Authority.

· Proficiency in automation and scripting tools (e.g., PowerShell, Ansible).

· Excellent troubleshooting and problem-solving skills.

· Strong communication and teamwork abilities.

· Relevant certifications (e.g., VMware Certified Professional, Microsoft Certified: Azure Solutions Architect, Nutanix) are a plus.

Job Scope:

• Responsible for development of ETL using Oracle Data Integrator (ODI) and setup of processing structures in order to facilitate periodic data loads or creation of batches for transmission to other applications.
• Responsible for supporting the ODI processes that continuously collect data from multiple upstream applications, and subsequent integration of data repository.
• Responsible for optimizing, tuning, performance improvement to support near real-time data processing.
• Responsible for implementing data validation based on business requirements.
• Work collaboratively as part of the team responsible for the data collection applications to design develop, and support the end-to-end processes, taking the lead on strategy and design of all ETL processes.
• Provide highly responsive analysis of issues to diagnose and resolve with sense of urgency.

Job Qualifications:

• Degree in Computer Science or equivalent.
• At least 3 years of Oracle Data Integrator (ODI) experience is a must. ODI expertise in Topology, Knowledge Modules, Change Data Capture and Metadata Management.
• Knowledge of data modeling concepts.
• Experience in developing complex ODI processes and complex PL/SQL code is a must.
• Skills in Oracle ODI (Data Integration) 12c, SQL/PL-SQL tuning and performance improvement, UNIX scripting, Automic or any scheduling software.
• Must have ODI experience in a data migration / data transformation environment.
• Must have extensive and recent ODI design and development experience.
• Experience of working as a Consultant on large scale projects.

Interested candidates can click apply for more information.

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

We respect your privacy and all communication will be treated with confidentiality. If you wish to know more about this position or explore other roles, please prepare your updated profile and get in touch with our consultants.

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by Manpower for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012.

Rallonza Bernice Mae Nocum | EA License No. 02C3423 Personnel | Registration No. R1442141