Total 4,025 data entry clerk job vacancies in Information Technology category in Singapore

Responsibilities:

• Work within a ticketing system in support for server fleet.

• Work in a 5*8 to provide break-fix support to the IT infrastructure

• Be the first point of contact for break fix technicians.

• Prioritize ticketing queues and work to resolve escalations.

• Perform power cycles, troubleshooting, and replace failed components.

• Support rack and stack and power up new equipment.

• Physically assist in moving and installing equipment.

• Assist in projects such as adding new capacity and working on retrofits within the Datacenter.

• Have a strong desire and capability to learn, grow, and develop new skills.

• Participate in an on-call rotation.

• Establish strong working relationships with various internal teams and external partners.

• Assist with inventory and asset management.

Qualifications:

• College/Technician Degree or equivalent professional experience/certification in Engineering.

• Knowledge of Linux and server hardware repairs.

• Working knowledge of technologies such as HTTP, DNS, RAID, TCP/IP and DHCP.

• At least three years of experience supporting IT equipment or related technology.

• Prior experience in large scale datacenters.

• Basic working knowledge of Mechanical and Electrical infrastructure. • Experience operating heavy-load movement equipment such as pallet jacks, server lifts, etc.

Primary role to act as DC operator to

1. Monitor Server and application health.
2. batch job & monitoring
3. backup job & Monitoring
4. Escalation and alert notification.
5. Escort DC visitor.
6. Support Building management maintenance, E.g. power maintenance, Aircon
7. Support security advisories,
8. Remote monitoring service,
9. support DR activity.
10 Support and execute task assign by the Project manager.
11. Printing service management.

Mandatory Skill: enterprise Monotoring

Work Location: Sin Ming

Shift Work: Yes, 12 Hours shift (8.00AM to 8.00PM or 8.00PM to 8.00AM)

Rotating shift – work 2 days and 2 days off

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Administrator
• Working Location: Benoi
• Working Hours: 5 days (9 am-6 pm)
• Salary Package: Basic Salary $2,500 + AWS + PB + Transport Provided
• Duration: Permanent Role

Key Responsibilities

• Verify trailer/prime mover number, model, and company name.
• Check if an inspection is required and whether the customer uses our account or their own.
• Upload before and after repair photos, ensuring all billable items have photos.
• Review all WhatsApp messages to ensure every completed job is accounted for and submitted in Kintone.
• Verify repair/maintenance job scope. If issues are unclear, confirm with workshop workers to avoid preparing incorrect DO.
• List all job scopes from Kintone in the maintenance report.
• Email the maintenance report to the customer and billing department.
• Perform any other ad hoc tasks assigned by your superior.

APPLY NOW!!!

• Minimum ITE qualification.
• Minimum 1 year of experience in data entry or related field.
• Experienced in Kintone is advantageous.
• Excellent communication skills with clients.
• Willingness to learn.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Please indicate #68538 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Requirement

• Diploma/Bachelor's Degree in Computer Science, Information systems, or related field.
• At least 3 years of relevant experience
• Experience/Skills on Datawarehouse / Database / Cloud systems and Data Mining

Responsibilities

• Collaborate with data scientists, coders, programmers and other stakeholders
• Creating and managing the AI development process and general infrastructure of a product
• Doing statistical analysis and interpreting findings
• Automating tasks and procedures for a data science team
• Creating data transformation infrastructure
• Developing AI models communicating the utility of the AI models they generate to a diverse range of employees inside the organization, including product managers and management executives
• Converting machine learning models into APIs with which other apps may interact

Interested applicants, Please send your updated resume in Word format to [email protected]

Please indicate Job Code 109 on email subject

We regret that only shortlisted candidates will be notified.

IT Consultancy & Services Pte Ltd

EA No: 92C5311 | EA Reg No. R1104129

Please visit www.itcspl.com to learn more information about ITC

We are seeking a highly motivated Data Engineering Intern to gain hands-on experience in building data infrastructure. You'll develop your problem-solving skills by contributing to the design and implementation of data pipelines and storage solutions. This internship offers an opportunity to learn from experienced engineers within a fast-paced environment, while contributing to the agile development cycle.

ROLES AND RESPONSIBILITIES

• Assist Data Scientists, Data Engineers, and Analysts in building and managing data products, including the SISTIC Data Warehouse/Data Lake.
• Contribute to data pipeline development by learning from experienced engineers and assisting with tasks like design, testing, and documentation.
• Learn to identify and troubleshoot issues in existing data pipelines, gaining experience for future improvements.
• Gain exposure to building data pipelines by working on smaller components or contributing to specific stages.
• Support data warehouse and database maintenance under the guidance of senior engineers.
• Learn to monitor data pipelines and identify potential issues.
• Write clean and well-documented code under the supervision of experienced engineers.
• Gain experience with data ingestion techniques like scripting, web scraping, APIs, and SQL queries.
• Participate in code review sessions to learn from best practices and improve understanding.

SKILLS AND EXPERIENCE REQUIRED

• Strong foundation in computer science or a related field (e.g., coursework, projects)
• Core engineering concepts: Demonstrate a strong desire to learn about core data engineering concepts, such as data pipelines (ETL processes) and data storage solutions (data warehouses and data lakes). Familiarity with Google Cloud Platform would be a plus.
• Strong foundation in Python and SQL: This demonstrates the intern's ability to work with data manipulation tools commonly used in data engineering.
• Interest in learning Apache Spark (PySpark): This highlights the intern's desire to explore big data processing frameworks relevant to the field.
• Big data analytics: Demonstrate a basic understanding of the Hadoop ecosystem, including concepts like distributed storage and parallel data processing.
• Understanding of data warehousing and data lake concepts.

Responsibilities

• Hardware Support - Installations, Move, Add, Change
• Decommission of IT equipment (networks, servers, networks, storage, backup devices)
• Media management - HDD/SSD Destruction and Disposals
• Connect and disconnect patch cables to equipment in DC
• Server Hardware break fix support - Installation of parts, reseat module, SFP module replacement including HDD / Memory / Mainboard, etc.
• Regular physical / visual inspection equipment and data center operations facilities
• Provide onsite support during scheduled maintenance / change events
• Troubleshooting of issues for IT and network related equipment
• Inventory management of RMA, cold spares, equipment and tools
• Vendor Management - Coordination, Vendor Escort / Supervision
• DC Access Request Management
• POP Site operations support and standby
• Provide regular reporting on progress as required (move, change, support request and change) and develop continuously improvement capabilities
• Provide after business hours support based on on-call schedule and shift work when required
• Any other duties as assigned

Requirements

• Minimum of 1 year's experience working in the Data Centre operations space; Fresh graduates with adequate knowledge are welcomed to apply
• Good understanding and knowledge in data structured cabling and patching
• Experienced in hardware support, breakfix and troubleshooting.
• Ability to respond to issues and provide timely updates, and escalation
• Experience working in a large-scale critical environment is a plus

Advantageous Skills & Knowledge

• Rack, space, power and cooling allocations for new install or relocation requests
• Capacity management (space, power, cooling, patch panel port availability)
• Incident / Change Management Process
• Understanding of DC Space, Power, Cooling Management
• Certifications eg. CDCP, ITIL, Server+, Linux+, Network+, A+, CCNA

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

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

Responsibilities:

Project Support:

• Coordinate and track project activities, timelines, and deliverables.
• Continuously learn and explore project management methodologies, processes, and tools to enhance management efficiency.

Communication, Coordination, and Reporting:

• Facilitate effective communication between project teams, stakeholders, and the PMO.
• Assist in creating presentations, dashboards, and reports for senior management.

Data Analysis and maintenance:

• Collect, analyze, and interpret project data to support informed decision-making.
• Manage and maintain project metrics and report to ensure data accuracy and accessibility.

Requirements:

• Bachelor’s degree or higher.
• Proficiency in Microsoft Office Suite (Word, Excel, PowerPoint) is required.
• Minimum of 2 years of relevant work experience.
• Excellent organizational and multitasking abilities.
• Excellent communication skills
• Meticulous, logical thinker with a focus on efficiency and results.

Maltem Asia is seeking a Data Engineer for a Wealth Management Client based in Singapore.

Responsibilities:

• Work closely with data stewards, data analysts and business end-users to implement and support data solutions.
• Design and build robust and scalable data ingestion and data management solutions for batch loading and streaming from data sources using Python.
• Familiar with SDLC process: Requirement gathering, design and development, SIT testing, UAT support and CICD deployment for enhancements and new ingestion pipelines.
• Ensure compliance with IT security standards, policies, and procedures.

Responsibilities:

• Work closely with business stakeholders, data engineers and platform team to implement and support data distribution solution.
• Design an optimal onboarding process with clear visibility of the various life cycle of a product.
• Contribute, influence, and validate the design of data distribution solutions to ensure they meet both business and operational needs.
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Lead the dataset registration conversation with business and metadata team to ensure that the dataset are properly registered.
• Document the business requirements clearly.
• Perform user acceptance testing on the data distribution channel and ensure that it meets the requirements.
• Identify opportunities for continuous improvement in assigned area of work.

Must Have Skillsets :

• Possess a degree in Computer Science/Information Technology or related fields.
• At least 3 years of experience in a role focusing on the development and support of data ingestion pipelines.
• Experience with building on Data platforms, particularly Snowflake.
• Proficient in SQL and Python.
• Experience in continuous integration and continuous deployment (CICD).
• Experience in Software Development Life Cycle (SDLC) methodology.
• Experience in data warehousing concepts.

Good-To-Have:

• Experience with Cloud environments (e.g. AWS).
• Experience in JAVA.
• Experience in ETL tools (e.g. Informatica).

Salary: up to $3700

Duration: 2 years contract

Working Days & Hours: Mon-Fri Office Hours

Location: Tuas (pickup at Tuas Crescent)

Job Description:

* Enter and verify large amounts of information accurately and consistently from process Batch Records. Provide timely and accurate entry of process data in support of daily process monitoring and associated activities

* Manage special requests for data collection, completion and/or verification

* Help to ensure all data entry system procedures and guidelines are accurate and current. Ensure 100% accuracy of all information entered, right first time

* Manage and Track workload, ensure all necessary process data is located and entered. Develop and utilize existing tools to examine, manage and track process data.

* Perform validation of new or modified GDM objects. Support GDM administrators to ensure GDM objects are validated per procedure.

* Support administration of new and legacy data collection systems.

* Support creation and management of Webstatistica user credentials

* Interact with and support data consumers and analytics. Routinely interact with data consumers, help to create necessary efficiencies. Work to build user confidence in the system

* Observe how users interact with GDM, understand their needs provide support as required

* Resolve data entry related analytics problems with users

* Follows all training and policy guidelines established for the facility as well as all cGMP requirements. Ensures employee training profile is up to date at all times by regular monitoring of training lists (e.g. SAP Learning Portal) and completing all training in a timely fashion.

* Any other duties as assigned by your Supervisor/Manager

Job Requirements: Min Diploma/Degree in Life Sciences or similar w min admin experience in life science/pharmaceutical/medical device industry

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

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. Design and implement an offline/real-time data architecture for large-scale recommendation systems.

2. Design and implement a flexible, scalable, stable, and high-performance storage system and computation model.

3. Troubleshoot production systems, and design and implement necessary mechanisms and tools to ensure the overall stability of production systems.

4. Build industry-leading distributed systems such as offline and online storage, batch, and stream processing frameworks, providing reliable infrastructure for massive data and large-scale business systems.

Qualifications

What you should have:

- Bachelor's Degree or above, majoring in Computer Science, or related fields, with 3+ years of experience building scalable systems;

- Proficiency in common big data processing systems like Spark/Flink at the source code level is required, with a preference for experience in customizing or extending these systems;

- A deep understanding of the source code of at least one data lake technology, such as Hudi, Iceberg, or DeltaLake, is highly valuable and should be prominently showcased in your resume, especially if you have practical implementation or customisation experience;

- Knowledge of HDFS principles is expected, and familiarity with columnar storage formats like Parquet/ORC is an additional advantage;

- Prior experience in data warehousing modeling;

- Proficiency in programming languages such as Java, C++, and Scala is essential, along with strong coding skills and the ability to troubleshoot effectively;

- Experience with other big data systems/frameworks like Hive, HBase, or Kudu is a plus;

- A willingness to tackle challenging problems without clear solutions, a strong enthusiasm for learning new technologies, and prior experience in managing large-scale data (in the petabyte range) are all advantageous qualities.

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.

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. Design and implement an offline/real-time data architecture for large-scale recommendation systems.

2. Design and implement a flexible, scalable, stable, and high-performance storage system and computation model.

3. Troubleshoot production systems, and design and implement necessary mechanisms and tools to ensure the overall stability of production systems.

4. Build industry-leading distributed systems such as offline and online storage, batch, and stream processing frameworks, providing reliable infrastructure for massive data and large-scale business systems.

Qualifications

What you should have:

- Bachelor's Degree or above, majoring in Computer Science, or related fields, with 1+ years of experience building scalable systems;

- Proficiency in common big data processing systems like Spark/Flink at the source code level is required, with a preference for experience in customizing or extending these systems;

- A deep understanding of the source code of at least one data lake technology, such as Hudi, Iceberg, or DeltaLake, is highly valuable and should be prominently showcased in your resume, especially if you have practical implementation or customisation experience;

- Knowledge of HDFS principles is expected, and familiarity with columnar storage formats like Parquet/ORC is an additional advantage;

- Prior experience in data warehousing modeling;

- Proficiency in programming languages such as Java, C++, and Scala is essential, along with strong coding skills and the ability to troubleshoot effectively;

- Experience with other big data systems/frameworks like Hive, HBase, or Kudu is a plus;

- A willingness to tackle challenging problems without clear solutions, a strong enthusiasm for learning new technologies, and prior experience in managing large-scale data (in the petabyte range) are all advantageous qualities.

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. 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

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.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok.

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities

- 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

Minimum Requirements

- Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline

- Strong coding and troubleshooting skills; Proficient in programming languages like Java, C++, Scala, Python.

- 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.

- 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.

Preferred Qualifications

- Experience in handling PB-level data 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.

By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at [email protected]

• Reputable Data Centre in APAC
• Office hour (Non shift)

About Our Client

My client is a leading Data Center owner in Singapore, with a diverse portfolio spanning across the APAC region. They have several major new projects planned throughout various APAC locations.

Job Description

• Designs, plans, installs, and maintains mechanical, electrical, plumbing, and other infrastructure systems
• Oversee vendors conducting maintenance and repair tasks within the building.
• Ensure scheduled maintenance by vendors meets agreed standards and procedures.
• Provide timely and accurate power and rack setups for customers.
• Handle billing for completed customer service requests.
• Accept and manage equipment delivery notices from customers.
• Prepare monthly progress reports for customers and monitor deliverables.
• Calculate, consolidate, and process monthly utility billing.
• Respond to customer requests and complaints efficiently, escalating issues when necessary.
• Execute various ad-hoc tasks related to facility maintenance, upgrades, repairs, additions, or modifications as directed by Management.
• Update and maintain CAD drawings for Data Centre and MEP systems.
• Safely and accurately complete daily operational and maintenance tasks.
• Provide Remote-Hands services to Data Centre clients.
• Install, troubleshoot, and remove cross-connect cabling.
• Manage project fit-out and addition and alteration (A&A) works.

The Successful Applicant

• Diploma in Electrical, Mechanical or Integrated Facility Design & Management or relevant discipline
• 4 years+ of experience in Data centre facilities
• Has full understanding of specialisation area

What's on Offer

• Opportunities for training and professional development
• Guaranteed bonus portion

Contact

Hazel Choi (Lic No: R24122391 /EA no: 18S9099)

Quote job ref

JN-102024-6557651

Phone number

+65 6533 2777

Michael Page International Pte Ltd | Registration No. 199804751N

JD:

We are seeking a talented and motivated Software Engineer with experience in Oracle Data Meter Management or CC&B modules. As a key member of our agile development team, you will play a crucial role in building and testing high-quality software applications. The ideal candidate is passionate about delivering exceptional user experiences and is proficient in both frontend and backend development.

Responsibilities:

• Design, develop, and implement Java and .NET applications, utilizing Core and Enterprise Java, .NET technologies, and frameworks such as Spring, Struts, Sprint Boot, Hibernate, MyBatis-Plus.
• Create RESTful web services and integrate them into existing systems.
• Develop, deploy, and maintain microservices, ensuring scalability and robustness.
• Collaborate with cross-functional teams to enhance application functionality and performance.
• Provide SIT/UAT support during testing phases, ensuring applications meet quality standards and user requirements.
• Offer production support, troubleshoot bugs, and implement enhancements for existing applications.
• Support minor/major upgrades, hardware refreshes, and system patching, conducting sanity and regression tests.
• Integrate applications with Azure services and manage integration components.
• Develop and maintain applications on Windows and Linux/Unix environments, proficient in scripting for these platforms.
• Implement security measures, adhering to PKI and ensuring compliance with security fundamentals.
• Utilize Apache Shiro for access control and security implementations.
• Manage Oracle and MSSQL databases, including core database operations and PL/SQL.
• Implement database enhancements, optimizations, and performance tuning.

Requirements:

• Minimum 5 years of hands-on experience in Core and Enterprise Java development.
• Proficiency in Java Application Servers like Tomcat and WebLogic.
• Strong understanding and experience with .NET technologies.
• Well-versed in Spring, Struts, Spring Boot frameworks, Hibernate, MyBatis-Plus, JPA, and REST web services.
• Familiarity with Windows, Linux, and/or Unix scripting for application deployment and maintenance.
• Experience with Azure integration and IIS.
• Proficiency in Oracle database operations (Core DB & PL/SQL) and MSSQL.
• Good grasp of network fundamentals and issue investigation.
• Knowledge of Apache Shiro, MapStruct, Ant Design Vue is advantageous.
• Understanding of security fundamentals and PKI.
• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• Relevant certifications in Java, .NET, or related technologies are a plus.

This is a 12-month contract role.

JD:

We are seeking a talented and motivated Software Engineer with experience in Oracle Data Meter Management or CC&B modules. As a key member of our agile development team, you will play a crucial role in building and testing high-quality software applications. The ideal candidate is passionate about delivering exceptional user experiences and is proficient in both frontend and backend development.

Responsibilities:

• Design, develop, and implement Java and .NET applications, utilizing Core and Enterprise Java, .NET technologies, and frameworks such as Spring, Struts, Sprint Boot, Hibernate, MyBatis-Plus.
• Create RESTful web services and integrate them into existing systems.
• Develop, deploy, and maintain microservices, ensuring scalability and robustness.
• Collaborate with cross-functional teams to enhance application functionality and performance.
• Provide SIT/UAT support during testing phases, ensuring applications meet quality standards and user requirements.
• Offer production support, troubleshoot bugs, and implement enhancements for existing applications.
• Support minor/major upgrades, hardware refreshes, and system patching, conducting sanity and regression tests.
• Integrate applications with Azure services and manage integration components.
• Develop and maintain applications on Windows and Linux/Unix environments, proficient in scripting for these platforms.
• Implement security measures, adhering to PKI and ensuring compliance with security fundamentals.
• Utilize Apache Shiro for access control and security implementations.
• Manage Oracle and MSSQL databases, including core database operations and PL/SQL.
• Implement database enhancements, optimizations, and performance tuning.

Requirements:

• Minimum 5 years of hands-on experience in Core and Enterprise Java development.
• Proficiency in Java Application Servers like Tomcat and WebLogic.
• Strong understanding and experience with .NET technologies.
• Well-versed in Spring, Struts, Spring Boot frameworks, Hibernate, MyBatis-Plus, JPA, and REST web services.
• Familiarity with Windows, Linux, and/or Unix scripting for application deployment and maintenance.
• Experience with Azure integration and IIS.
• Proficiency in Oracle database operations (Core DB & PL/SQL) and MSSQL.
• Good grasp of network fundamentals and issue investigation.
• Knowledge of Apache Shiro, MapStruct, Ant Design Vue is advantageous.
• Understanding of security fundamentals and PKI.
• Bachelor’s degree in Computer Science, Software Engineering, or a related field.
• Relevant certifications in Java, .NET, or related technologies are a plus.

This is a 12-month contract role.

Responsibilities and Requirements:

· We are seeking a skilled Data Engineer with expertise in Python, PySpark, and SQL to join our dynamic team.

· The ideal candidate will have a strong programming background and experience in the financial industry.

· Proficiency in SAS programming.

· Programming and ETL:

· Develop and maintain Python, PySpark, and SQL codes to support various tasks and activities.

· Perform code reviews and discovery.

· Conduct ETL processes to create data pipelines.

· Perform data quality checks and prepare data marts for business applications such as Tableau Control Tower and Campaigns.

· Data Reconciliation:

· Conduct sophisticated data reconciliation to identify data issues.

· Support investigation processes to resolve data discrepancies.

· Data Visualization:

· Develop visualizations for business problem-solving and control tower purposes using Tableau

· Strong logical thinking and programming skills.

· Excellent communication skills.

· Experience in the financial industry is a plus.

· Proficiency in SAS programming is a plus

Responsibilities

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

At TikTok, our people are humble, intelligent, compassionate and creative. We create to inspire - for you, for us, and for more than 1 billion users on our platform. We lead with curiosity and aim for the highest, never shying away from taking calculated risks and embracing ambiguity as it comes. Here, the opportunities are limitless for those who dare to pursue bold ideas that exist just beyond the boundary of possibility. Join us and make impact happen with a career at TikTok.

The Growth team plays a core role in acquisition, activation, and retention of billions of users, through our globally popular products such as TikTok, Resso, CapCut, Helo, etc. We are building platform foundation, leveraging data and ML models, and providing end-to-end solutions to power global growth of ByteDance products. Typical Growth projects including referral, notifications, paid ads, etc.

You will:

- Develop comprehensive product metrics and quantitative measurement structure based on product stages and business purposes.

- Prototype analysis pipelines to provide insights, and provide quick responses to business inquiries and events;

- Conduct routine and non-routine end-to-end analyses with large, complex data sets, and make recommendations on appropriate solutions;

- Cooperate with PM / Ops team / R&D, promote the implementation of optimization scheme, and bring about the actual improvement and growth of the business.

Qualifications

- Bachelor's degree or above in Statistics, Applied Mathematics, Computer Science or a related field

- 3+ years of working experience in Data Science, algorithmic engineering, or machine learning

- Proficient in SQL/Hive/Python or R, experienced in massive data manipulation, machine learning & modeling

- Strong technical leadership combined with hands-on data mining and machine learning application experience

- Solid technical & knowledge of A/B testing methodologies, can consistently explore and find the best practice

- Insightful data sense and rigorous logical mindset, capable of providing systematic approaches to solve business problems;

- Quickly familiar with and starting a new business; Can lead a small project team to support business

- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques

- Have a strong ability to work under pressure, have the courage to overcome difficulties, and accept challenges.

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.

Summary

The people here at Apple don’t just build products — they build the kind of wonder that’s revolutionized entire world. It’s the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it! Are you ready to be part of a team that turns innovative ideas into extraordinary products and experiences? The Apple Services Engineering - Experimentation data engineering team provides insights through data that drive decision-making for our engineering and product teams. We are looking for a Data Pipeline Engineer who can automate and build data pipelines for our search and recommendations features. Imagine what you could do here. At Apple, creative ideas have a way of becoming wonderful products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish.

Description

This team designs, executes and builds tools for online experiments (A/B tests) and offline experiments (human relevance judgement) that help us improve and fine tune our data-driven features. Your primary focus will be to automate the delivery of various datasets by working with Data Scientists on the team to understand critical metrics/KPIs and how they are derived. You will write and maintain the code that ingests, computes and organizes various data sets.

Minimum Qualifications

• Bachelors in Computer Science/Engineering or related field
• 3-5+ years’ demonstrated experience with Big Data systems, ETL, data processing, and analytics tools
• Proven experience working on big data systems and distributed computing, such as Hadoop and Spark
• Experience with programming languages such as Scala, Spark or Python
• Experience maintaining a large software system and writing a test suite

Preferred Qualifications

• Proficiency in using query languages like SQL, Hive and SparkSQL
• Experience with entity-relationship modeling and understanding of normalization
• Experience with sessionization of clickstream and time-series data is a plus
• Familiar with the concepts of dimensional modeling
• Experience with Continuous Integration, Version Control such as git
• Experience with data visualization tools, such as GGplot, etc
• Deep understanding of data structures and common methods in data transformation
• Keep up-to-date with the newest technology trends
• Working with software engineering teams to improve data collection procedures
• Processing, cleansing, and validating the integrity of data used for analysis
• Engineer code that is durable and reliable
• Performance tune and optimize code as data grows and needs change
• Generate reports (that can be automated) to present key insights to internal partners and leaders across engineering and product teams
• Showcase real passion for visualizing and making sense of data analysis

Find Your Dream Job with Us

WE ARE HIRING!! Apply now and make a difference.

Role: Data Engineer (Cloud Engineer)

Job Requisition Number: JR43920

Job Level: More than 10 years of relevant experience (L4)

Location: Singapore

Job Objectives

You will be responsible for the end-to-end software development and support for all work related to projects, quarterly change requests, L3 production fixes. This includes software product implementation and administration, application design, development, implementation, testing and support. You will be expected to work on Kubernetes based platforms.

You will also be responsible for quality assurance of the team’s delivery in conformance with the Bank-defined software delivery methodology and tools. You will partner with other technology functions to help deliver the required technology solutions.

Key Responsibilities

- Create frameworks, technical features which helps in faster implementation of OpenShift Kubernetesbased applications

- Carry out POCs involving new data technologies, new container platforms, sidecars, daemonsets

- Design and develop application frameworks for container integration

- Create technical documents such as solution design, program specifications for target solutions

- Perform design and development of applications which may not be limited to: Software Applications, Data Integration, User Interfaces, Automation

- Maintain and recommend software improvements to ensure platform centric management of software applications

- Performance tuning

- Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing

- Perform tasks as part of a cross functional development team using agile or other methodologies and utilizing project management software

- Independently install, customize and integrate software packages, programs, product releases

Key Requirements:

Technical skillsets

Cloud Engineer

- Platforms provided by IBM Cloud Pak for Data (CP4D)

- Kubernetes based platforms such as OpenShift, AWS, Azure, GCP

- Software defined storage (ODF)

- IBM Storage Fusion

- S3 compatible storage options (Dell ECS, HCP)

- Node js, React, Java, RabbitMQ, Akka framework, Apache Consul, Apache Geode, Redis

- Scala, Java, Python

- Helm Package manager, Kustomize

- Jenkins, Jfrog, Gradle, Bitbucket, Groovy

- Shell scripting, Docker

- Splunk, Prometheus, Geneous

At least, 2 to 3 technical certifications in any of the technologies below:

1. OpenShift

2. Kubernetes, Docker

3. Language – SQL, Java, Python, Scala

4. Automation / scripting – CtrlM, Shell Scripting, Groovy

Additional Experience required for all teams to create an added advantage:

1. CI/CD software, Testing Tools - Jenkins, SonarQube

2. Version Control Tool - Aldon+LMe, CA Endeavor

3. Deployment Tool kit -Jenkins

4. Service or Incident Management (IcM) Tools - Remedy

5. Source Code Repository Tool - Bitbucket

6. Scheduling Tool - Control-M

7. Defect Management Tool - JIRA

8. Application Testing tool – QuerySurge

9. Cloud certification

EDUCATION

- Bachelor’s degree/University degree in Computer Science, Engineering, or equivalent experience

Please forward your resume in MS word format to [email protected] and

[email protected]

Please refer your friends for any IT openings as we have various positions.

Please do not send PDF Format Resume . Send the following details

1. Notice period

2. Current Salary

3. Expected Salary

4. Visa Status in Singapore

5. Current Location

Responsibilities and Requirements:

· We are seeking a skilled Data Engineer with expertise in Python, PySpark, and SQL to join our dynamic team.

· The ideal candidate will have a strong programming background and experience in the financial industry.

· Proficiency in SAS programming.

· Programming and ETL:

· Develop and maintain Python, PySpark, and SQL codes to support various tasks and activities.

· Perform code reviews and discovery.

· Conduct ETL processes to create data pipelines.

· Perform data quality checks and prepare data marts for business applications such as Tableau Control Tower and Campaigns.

· Data Reconciliation:

· Conduct sophisticated data reconciliation to identify data issues.

· Support investigation processes to resolve data discrepancies.

· Data Visualization:

· Develop visualizations for business problem-solving and control tower purposes using Tableau

· Strong logical thinking and programming skills.

· Excellent communication skills.

· Experience in the financial industry is a plus.

· Proficiency in SAS programming is a plus

Company Overview
A leading top-tier financial institution is seeking a talented Data Scientist to enhance their analytics team. This role offers a unique opportunity to leverage data-driven insights to optimize financial products and services.

Job Overview
The Data Scientist will collaborate with cross-functional teams to analyze complex datasets, develop predictive models, and contribute to data-driven decision-making processes. Insights generated will be crucial in optimizing customer experiences and improving operational efficiencies.

Key Responsibilities
- Data Analysis: Conduct exploratory data analysis to identify trends, patterns, and anomalies within large datasets.
- Model Development: Design, implement, and validate machine learning models that address various business challenges.
- Collaboration: Work closely with product managers, engineers, and stakeholders to understand business needs and translate them into analytical solutions.
- Data Visualization: Create dashboards and reports that effectively communicate findings to both technical and non-technical audiences.
- Continuous Improvement: Maintain and enhance data infrastructure, ensuring high data quality and integrity.

Qualifications
- Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field; Master’s or Ph.D. preferred.
- Depending on grading, 3-5 / 5-7 years of experience in data science or analytics roles within the financial sector.
- Proficiency in programming languages such as Python or R; experience with SQL for data manipulation; familiarity with big data technologies (e.g., Hadoop, Spark); Proficiency in language such as Go/GoLang / JavaScript / C/++ will be a bonus.
- Machine Learning Expertise: Strong understanding of machine learning algorithms and their applications in finance.
- Communication Skills: Excellent verbal and written communication skills to present complex data insights clearly.

Preferred Qualifications
- Experience with data visualization tools such as Tableau or Power BI.
- Knowledge of statistical modeling techniques and their application in finance.
- Familiarity with cloud-based platforms for data storage and processing.

What’s Offered
- A collaborative work environment focused on innovation.
- Opportunities for professional development and career advancement.
- Competitive salary along with a comprehensive benefits package.

This is an exciting opportunity for individuals passionate about using data to drive impactful decisions within the financial industry. If you are interested in the above opportunity or other jobs in data science, kindly apply with your updated CV or send to Shannagh Wu at [email protected]

Reg No. R23112660
BeathChapman Pte Ltd
Licence no. 16S8112

• Design, implement, and maintain ETL processes to extract data from multiple sources, transform it based on business rules, and load it into target systems.
• Develop and manage data mapping documentation, including source-to-target mappings and transformation logic.
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and optimize data flows.
• Conduct data quality checks and validation to ensure the accuracy and integrity of data.
• Optimize ETL workflows for performance, scalability, and reliability.
• Monitor and troubleshoot ETL processes, resolving issues promptly to minimize downtime.
• Stay up-to-date with industry best practices and emerging technologies in data engineering and ETL.

• Proven experience as a Data Engineer, with a strong focus on data mapping and ETL processes.
• Strong SQL skills and experience with relational databases (e.g., MySQL, PostgreSQL, Oracle).
• Familiarity with data warehousing concepts and architecture.

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business – Mission Software & Services

Our Mission Software & Services business provides leading-edge mission critical command, control, and communications (C3) systems with secured IT infrastructure and managed services. We support our client’s innovation journey through design thinking, analytics, and AI-enabled decision support with our full suite of cloud computing solutions. We provide intelligent, actionable insights and sustainable solutions to our valued partners in diverse industries including defence, government, and commercial sectors.

Together, We Can Make A Significant Impact

A Technical Services Manager is a professional who will manage all the technical personnel in the project team and assigning technical tasks to them and oversees the delivery of technical services to customers. You are responsible for ensuring that the technical services meet the quality standards, budget, and deadlines of the clients or the organization.

Be Part of Our Success

• Work closely with the Project Manager to ensure that the project milestones are met, and coming out with the detailed schedule with the tasks, dates and duration
• Work closely with Pre-sales team to review their design, scope and effort estimation for new opportunities
• Lead a team of Technical resources in the project to complete the required scope on-time.
• Lead the design and architecture of cloud solutions based on business requirements and best practices.
• Oversee the deployment of cloud services and applications, ensuring reliability, scalability, and performance.
• Lead cloud infrastructure provisioning, configuration, and optimization efforts.
• Collaborate with cross-functional teams to integrate cloud solutions with existing systems and applications.
• Monitor and analyze cloud infrastructure performance metrics to identify areas for optimization and improvement.
• Implement performance tuning strategies to enhance the efficiency and responsiveness of cloud-based systems.
• Drive initiatives to automate repetitive tasks and streamline cloud operations.
• Provide technical leadership and guidance to cloud PS teams.
• Mentor team members on cloud technologies, best practices, and emerging trends.
• Evaluate cloud service providers and technologies to determine the best fit for organizational needs.

Qualities We Value

• 15 years of experience in IT infrastructure management, with at least 8 years focused specifically on cloud technologies.
• Relevant certifications such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect Expert, or Google Professional Cloud Architect are preferred and may be required depending on the role.
• Demonstrated experience in designing, implementing, and managing cloud solutions in public, private, or hybrid environments is essential. Candidates should be proficient in one or more cloud platforms such as AWS, Azure, or Google Cloud.
• Strong understanding of cloud architecture principles, including compute, storage, networking, and security concepts. Experience with cloud-native services and technologies is highly desirable.
• Proficiency in cloud automation, orchestration, and infrastructure-as-code tools such as Terraform, Ansible, and Kubernetes. Experience with DevOps practices, CI/CD pipelines, and containerization technologies (e.g., Docker) is a plus.
• Strong leadership, communication, and interpersonal skills are essential for this role. Candidates should have experience leading teams, collaborating with stakeholders, and driving technical initiatives.
• Experience in leading a team of technical resources and provide mentorship and guidance to them (if neccessary)
• Experience with infrastructure automation and configuration management tools such as Terraform, Ansible, Puppet, or Chef. Ability to define infrastructure resources declaratively and manage them programmatically.
• Ability to work in a fast-paced, dynamic environment and adapt to changing priorities and requirements.
• Ability to collaborate effectively with cross-functional teams and stakeholders, fostering a culture of teamwork and collaboration.
• Knowledge of containerization technologies like Docker and container orchestration platforms such as Kubernetes. Experience in containerizing applications, managing container clusters, and optimizing containerized workloads.
• Understanding of cloud networking concepts including virtual networks, subnets, routing, load balancing, and security groups. Knowledge of network protocols, VPNs, and SD-WAN technologies.
• Familiarity with DevOps principles, continuous integration/continuous deployment (CI/CD) pipelines, version control systems (e.g., Git), and agile methodologies. Ability to automate software delivery processes and streamline development workflows.

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.

Requirement:

The Data Analyst is required to have capabilities and experience in similar services/projects as follow:

· Statistical knowledge

· Understanding of Big Data technologies

· Data reliability and quality

· Build systems that collect, manage and convert raw data into usable information

· Data pipeline management

· Development Languages / Tools e.g. Python, Outlook, Qlikview

· Familiarity with multiple cloud platforms like AWS, Azure, or GCP and expertise in at least one.

· Experience in multiple data processing frameworks e.g. Spark, Beam, Flink etc.

· Experience in at least one workflow orchestration tool e.g. Airflow.

· Experience in multiple messaging queues e.g. Kafka or PubSub.

· Experience in at least one data warehouse e.g. Redshift, Big query, Snowflake, Databricks etc.

· Experience in implementing large scale data lakes/Warehouses.

· Experience in relational databases e.g. Postgres, MySQL, etc.

· Experience in NoSQL databases e.g. DynamoDB, MongoDB, BigTable, etc.

· Experience in end to end Modern data stack including no code data ingestion tools, transformation and orchestration tools, Data Governance, Data Quality and Role based access control

· Familiarity with multiple data visualization tools e.g. Tableau, PowerBI, Superset, Quicksight, etc.

· Experience in data catalog and governance tools e.g. Amundsen, Dataplex, Glue catalog, etc.

· Experience in data validation framework(s) e.g. DBT, great expectations, etc.

· Strong understanding of Data warehouse, Data lake, Data mart, OLTP and OLAP concepts.

· Strong understanding of data modeling, ETL/ELT processes, and data quality principles.

Interested candidate may apply directly to [email protected] for immediate processing