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.

Job Description:

• Collaborate with stakeholders to define business and information needs.
• Translate business requirements into analytics and reporting specifications.
• Optimize and automate data collection processes.
• Extract insights from raw data and present findings clearly through reports and visualizations.
• Assist with daily operational tasks, including application and server support.
• Support the sales and marketing teams in presales activities for potential customers.

Job Requirements

• Bachelor’s Degree or Diploma in Business Analytics, Computer Science, Data Analytics, Information Technology, or a related discipline.
• 1-3 years of hands-on experience in data science or data engineering is preferred.
• Strong oral and written communication skills.
• Proficiency in Python, R, or another programming language.
• Experience with various databases (e.g., MSSQL, PostgreSQL, Oracle DB).
• Solid understanding of data analytics and processing tools such as Power BI, MicroStrategy, and Robotic Process Automation (RPA) is preferred.
• Proven experience in operationalizing end-to-end data analytics solutions.
• Familiarity with cloud services, particularly Amazon Web Services (AWS), is a plus.

We are seeking a highly skilled and motivated Data Analyst to join our Technology team. The successful candidate will play a pivotal role in analysing detailed processes, functional and data requirements, drafting functional design and data specifications, and supporting testing and implementation to align with the future footprint of Investments and Finance systems. You will collaborate with business stakeholders in Insurance sites to ensure their requirements are effectively met.

Key Responsibilities

1. Solution Design: Collaborate with the Global Program team to analyse, review, and design solutions for INSP Investment Services to meet the requirements of INSP Singapore Insurance.
2. Data Integration: Partner with delivery teams and source system teams to ensure the timely and accurate extraction of new data fields as required.
3. Testing & Issue Resolution: Conduct System Integration Testing (SIT) and System Testing on system builds. Liaise with IT to resolve issues identified during User Acceptance Testing (UAT) or establish workaround solutions.
4. Regulatory Compliance: Operate within a highly regulated environment, working closely with Financial Controls and engaging with key stakeholder groups, including Group Finance Operations Centers (GFOC), Finance senior managers, and Accounting Policy teams.
5. Control Framework Implementation: Streamline processes, reduce manual interventions, and implement automated controls to enhance the overall control framework.
6. Documentation & Training: Prepare comprehensive system documentation, user manuals, and provide training to end-users when required.

Qualifications & Skills Required

• Experience: At least 5 years of experience in Insurance, Investments, or Finance transformation functions or IT, with the ability to interpret data attributes and system logic in Insurance Policy Administration and Investment Fund Management systems.
• Project Expertise: Proven track record in Finance projects involving data tables, extracts, and reporting, with a strong focus on meeting business reporting needs and solving business problems.
• Technical Knowledge: Familiarity with Google Cloud Platform and BI reporting tools.
• Analytical & Problem-Solving Skills: Demonstrated ability to adopt inclusive approaches, achieve consensus on complex issues, and think independently and innovatively.
• Stakeholder Management: Strong influencing skills and experience managing local stakeholder relationships and delivery partners to drive change effectively.

We are seeking a highly skilled and motivated Data Analyst to join our Technology team. The successful candidate will play a pivotal role in analysing detailed processes, functional and data requirements, drafting functional design and data specifications, and supporting testing and implementation to align with the future footprint of Investments and Finance systems. You will collaborate with business stakeholders in Insurance sites to ensure their requirements are effectively met.

Key Responsibilities

1. Solution Design: Collaborate with the Global Program team to analyse, review, and design solutions for INSP Investment Services to meet the requirements of INSP Singapore Insurance.

2. Data Integration: Partner with delivery teams and source system teams to ensure the timely and accurate extraction of new data fields as required.

3. Testing & Issue Resolution: Conduct System Integration Testing (SIT) and System Testing on system builds. Liaise with IT to resolve issues identified during User Acceptance Testing (UAT) or establish workaround solutions.

4. Regulatory Compliance: Operate within a highly regulated environment, working closely with Financial Controls and engaging with key stakeholder groups, including Group Finance Operations Centers (GFOC), Finance senior managers, and Accounting Policy teams.

5. Control Framework Implementation: Streamline processes, reduce manual interventions, and implement automated controls to enhance the overall control framework.

6. Documentation & Training: Prepare comprehensive system documentation, user manuals, and provide training to end-users when required.

Qualifications & Skills Required

1. · Experience: At least 5 years of experience in Insurance, Investments, or Finance transformation functions or IT, with the ability to interpret data attributes and system logic in Insurance Policy Administration and Investment Fund Management systems.
2. · Project Expertise: Proven track record in Finance projects involving data tables, extracts, and reporting, with a strong focus on meeting business reporting needs and solving business problems.
3. Technical Knowledge: Familiarity with Google Cloud Platform and BI reporting tools.
4. Analytical & Problem-Solving Skills: Demonstrated ability to adopt inclusive approaches, achieve consensus on complex issues, and think independently and innovatively.
5. Stakeholder Management: Strong influencing skills and experience managing local stakeholder relationships and delivery partners to drive change effectively.

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

EA Registration No: R22105541, TAY ZHIHENG, DARIUS

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

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

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 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.

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.

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

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

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.

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.

Team Introduction

TikTok's Recommendation Architecture Team is responsible for real-time computing direction, handling the design and development of real-time computing systems for TikTok videos, live streams, e-commerce, and a billion-user product recommendation system. Their main focus is ensuring system stability and high availability. They abstract general real-time computing systems, build a unified recommendation feature middleware, and implement a flexible and scalable high-performance storage system and computing model. This enables advanced real-time data systems for deduplication, counting, feature services, and other recommendation-related business needs.

- Design and implement real-time (streaming computing) data systems for large-scale recommendation systems.

- Create flexible, scalable, stable, and high-performance storage systems and computing models.

- Troubleshoot production system failures, design and implement necessary mechanisms and tools to ensure overall stability of the production systems

- Construct industry-leading streaming computing frameworks and other distributed systems to provide reliable infrastructure for massive data and large-scale business systems

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

-Proficient in programming languages like Java, C++, Scala, Python.

- Strong coding and troubleshooting skills.

- At least 1 year of relevant experience

- Deep understanding of streaming computing systems, with formal production experience in developing TB-level Flink real-time computing systems. Proficient in modules like FlinkDataStream, FlinkSQL, FlinkCheckpoint, FlinkState, and preferably with experience in reading Flink source code.

- Experience in data lake development is preferred. Familiar with at least one data lake technology such as Hudi, Iceberg, DeltaLake, and preferably with experience in reading their source code.

- Willingness to tackle problems without clear answers, with a strong passion for learning new technologies.

- Experience in handling PB-level data is a plus.

- Familiarity with other big data systems is preferred, including YARN, K8S, Spark, SparkSQL, Kudu, and others.

- Experience in storage systems such as Hbase, Cassandra, RocksDB.

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 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.

Team Introduction

TikTok's Recommendation Architecture Team is responsible for real-time computing direction, handling the design and development of real-time computing systems for TikTok videos, live streams, e-commerce, and a billion-user product recommendation system. Their main focus is ensuring system stability and high availability. They abstract general real-time computing systems, build a unified recommendation feature middleware, and implement a flexible and scalable high-performance storage system and computing model. This enables advanced real-time data systems for deduplication, counting, feature services, and other recommendation-related business needs.

- Design and implement real-time (streaming computing) data systems for large-scale recommendation systems.

- Create flexible, scalable, stable, and high-performance storage systems and computing models.

- Troubleshoot production system failures, design and implement necessary mechanisms and tools to ensure overall stability of the production systems

- Construct industry-leading streaming computing frameworks and other distributed systems to provide reliable infrastructure for massive data and large-scale business systems

- Research, design, and develop computer and network software or specialised utility programs.

- Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.

- Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.

- Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

-Proficient in programming languages like Java, C++, Scala, Python.

- Strong coding and troubleshooting skills.

- At least 5 years of relevant experience

- Deep understanding of streaming computing systems, with formal production experience in developing TB-level Flink real-time computing systems. Proficient in modules like FlinkDataStream, FlinkSQL, FlinkCheckpoint, FlinkState, and preferably with experience in reading Flink source code.

- Experience in data lake development is preferred. Familiar with at least one data lake technology such as Hudi, Iceberg, DeltaLake, and preferably with experience in reading their source code.

- Willingness to tackle problems without clear answers, with a strong passion for learning new technologies.

- Experience in handling PB-level data is a plus.

- Familiarity with other big data systems is preferred, including YARN, K8S, Spark, SparkSQL, Kudu, and others.

- Experience in storage systems such as Hbase, Cassandra, RocksDB.

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.

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.

Job Description:

As an Application Support Engineer, you will act as a software detective, identifying and resolving issues in critical business systems. You will work independently and collaboratively to provide innovative solutions, becoming a subject matter expert (SME) in the process. This role involves troubleshooting, engineering support, and improving application support processes, with a focus on ETL tools, data pipelines, and database management.

Key Responsibilities:

· Identify and resolve issues within critical business systems.

· Develop and improve application support processes and strategies.

· Collaborate with cross-functional teams to troubleshoot and resolve complex technical issues.

· Conduct system audits to optimize performance and identify areas for improvement.

· Provide technical guidance and support to end-users.

· Profile, cleanse, and classify data.

· Design and develop data pipelines that ingest data from various sources.

Requirements:

· Hands-on experience with RDBMS such as Oracle, DB2, MS SQL, or PostgreSQL.

· Knowledge of database design and data modelling (logical and physical).

· Experience with ETL tools like SAS DI, Informatica, or Talend.

· Familiarity with data streaming technologies such as Kafka or Spark is an advantage.

· Experience with data visualization tools like Qlik, Tableau, or Power BI is a plus.

· Self-motivated and eager to learn, with a willingness to share knowledge.

Preferred Skills:

· Basic proficiency in Application Remediation, Data Replication & Synchronization, and IT Troubleshooting.

· Intermediate proficiency in ETL tools.