Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Data Engineer

• 6 months contract with a possibility of extension
• Work location: CBD

Our Client

• MNC IT company

The Opportunity

• Work across workstreams to support data requirements including reports and dashboards
• Analyze and perform data profiling to understand data patterns and discrepancies following Data Quality and Data Management processes
• Understand and follow best practices to design and develop the E2E Data Pipeline: data transformation, ingestion, processing, and surfacing of data for large-scale applications
• Understand business requirements to translate them into technical requirements that the system analysts and other technical team members can drive into the project design and delivery
• Analyze source data and perform data ingestion in both batch and real-time patterns via various methods; for example, file transfer, API, Data Streaming using Kafka and Spark Streaming
• Analyze and understand data processing and standardization requirements, develop ETL using Spark processing to transform data
• Understand data/reports and dashboards requirements, develop data export, data API, or data visualization using Power BI, Tableau, or other visualization tools

Your Background

• More than 3 years of experience in data engineering fields
• Data Engineering skills: Python and Databricks
• Preferably with working experience in AWS cloud

Interested parties please click "Apply Now" or contact May Anne Ramos (EA Reg no: R1110127) at [email protected] for more information.
Peoplebank Singapore Pte Ltd, EA Licence Number: 08C5248.

Job Title: Data Engineer (6-month Contract)

Experience Required: 3-5 years

Key Responsibilities:

• Develop and optimize data pipelines and workflows using Databricks.
• Write and maintain efficient, scalable Python code for data processing.
• Integrate, manage, and process data on AWS cloud infrastructure (preferred).
• Collaborate with cross-functional teams to ensure data quality and integrity.
• Troubleshoot and resolve data-related issues in a timely manner.

Key Requirements:

• 3-5 years of hands-on experience in Databricks and Python.
• Proven experience with AWS cloud services (preferred).
• Strong problem-solving skills and attention to detail.
• Ability to work independently and meet project deadlines.

Responsibilities:

· Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives

· Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions

· Ensure data quality and integrity throughout the data processing lifecycle

· Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques

· Optimize data engineering workflows for containerized deployment and efficient resource utilization

· Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability

· Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance

· Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements

· Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure

· Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference

· Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps

· Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank

Requirements:

· Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments

· Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)

· Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes

· Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java

· Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

· Experience with Graphana, Prometheus, Splunk will be an added benefit

· Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges

· Excellent collaboration and communication skills to work effectively with cross-functional teams

· Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment

· Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

Position title: Product Development and Management Executive

Working location: Pasir Panjang

Working Days: 5 days work

Working hours : 9am - 6pm
Salary Range: $3500 to $4200

Interested applicants can also send your resume to WA:+65 8839 3566 (Ms Angel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

LIEW ONN KEE REG NO : R22108518

THE SUPREME HR ADVISORY EA NO:14C7279

Responsibilities:

• New product planning:

- Ideation: generate, develop, curate and prioritise ideas.

- Organise and define requirements based on market data and customer insights.

- Analyse industrial trends and do technology assessment.

- Evaluate scientific information to generate concepts for new product innovations; define product features.

- Define product competitive positioning and unique selling proposition (USP).

- Prepare and execute new product development (NPD) plan, ensuring processes occur within the

necessary timeframes to deliver a product to market.

- Align cross-functional Scrum team through Agile methodology.

• New product development (NPD):

- Source for contract manufacturers and liaise with engineers/ formulators to develop new product; be the main contact point with these suppliers for NPD/ formulation discussions.

- Review formulas and ingredient/ design statements for new product that is compliant with regulations.

- Conduct or work with contract manufacturer for efficacy assessment, literature review, product trial and testing.

- Work with contract manufacturers for safety assessment and stability study of products.

- Define critical attributes of final products, work with Quality team to finalise product master specifications and list of required lab tests.

- Work with Regulatory Affairs to finalise label text of products and with designer for packaging design.

- Technical resource for Regulatory Affairs, including providing technical document such as formula, raw material COA, efficacy, stability and safety information.

- Research market prices, create accurate product costing data and propose product pricing.

- Present new product for management’s review.

• New product introduction:

- Technical resource for Marketing, including providing technical brief or info sheet of product.

- Conduct product training as part of professional education to regional trainer/ marketing team and key leaders of salesforce.

• Post-launch product management:

- Reassess industry movement and re-evaluate competitor actions.

- Analyse product performance, profit and loss, and identify actions required.

- Manage incremental improvement for existing products.

- Liaise with contract manufacturers for necessary formula-related matters.

- React to necessary corrective and preventive actions (CAPA) raised by Quality.

• Contribute for and implement standard procedures (in compliance with industrial standards and QMS requirements) for any product development and management activities or as assigned.
• Perform other duties and projects as necessary to meet company goals.

Requirements:

• Degree in Nutrition, Pharmacy, Chemistry or relevant.

• Preferably with some experience in product development/ management in the dietary supplement and health food industry.

• Product/ project management experience; planning & time management experience.

• Travelling is expected.

Good Pay + Good Bonus ( 5 Days Work Week )

Junior / Entry Level / No experience / Senior Welcome apply / Full Training Provided

Job Description

Job Description

• Well Established Company
• Basic $2000 - $2800 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: Various Location
• Working hours: Normal Working Hours

Job Responsibilities:

• Receive goods and put away to storage locations
• Picking and packing customer orders
• Perform additional value-added services on customer ordered goods
• Requirements to follow the proper component handling procedures
• Move stocks around either by provided trolleys and / or hand-pallet jacks
• Carry out inventory cycle count as and when required to

Job Requirements:

• Possess minimum N level or relevant qualification with 1-2 years warehouse experience
• Forklift license will be an added advantage

Good Pay + Good allowance + Good Bonus

-Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

-Consultant In-charge: Quah Li Lian (Lilian)(Registration No: R1983286)

About the role

NTT DATA SERVICES SINGAPORE PTE. LTD. is seeking an experienced Product manager to join our team. You will be responsible for managing the audio-visual elements of our events, ensuring seamless execution and a high-quality experience for our clients and attendees.

What you'll be doing

• Manage the procurement, set-up, and operation of all AV equipment and technologies
• Liaise with vendors and suppliers to ensure the timely delivery and installation of AV components
• MS Teams (Teams Live Event, Teams Townhall, Team Webinar, Viva Engage)
• NDI (Network Device Interface), RTMP, virtual cameras
• Hardware: capture cards, mics, audio mixers, video mixers: Magewell, Blackmagic ATEM, Roland, etc.
• Software: Wirecast, vMix, OBS,
• PTZ and VCs: Panasonic, Aver, Cisco, Crestron, etc.
• PTZ controllers (if we aim for resource that will be traveling for events support and we get right studio kit)
• Adobe Premiere (added value)

What we're looking for

• Minimum 5 - 7 years of experience in event management, with a strong focus on AV coordination and execution
• Demonstrated expertise in the setup and operation of a wide range of AV equipment, including audio systems, visual displays, and lighting
• Excellent problem-solving and troubleshooting skills to address any technical challenges that may arise
• Strong communication and interpersonal skills to liaise effectively with clients, vendors, and the internal event team
• Ability to work independently and as part of a team, with a keen eye for detail and a commitment to delivering high-quality results

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

About the role

Join our dynamic team at NTT DATA SERVICES SINGAPORE PTE. LTD. as a System Analyst (KYC/AML). You will play a pivotal role in supporting our organization's compliance and risk management initiatives within the Banking & Financial Services industry.

What you'll be doing

• Analyse and design solutions for Know Your Customer (KYC) and Anti-Money Laundering (AML) systems and processes
• Collaborate with cross-functional teams to identify and implement improvements to KYC/AML operations
• Perform system testing, configuration, and maintenance to ensure optimal performance of KYC/AML applications
• Develop and document standard operating procedures, user guides, and training materials
• Stay up-to-date with regulatory changes and industry best practices in KYC/AML compliance
• Proficiency in firewall, network, and security concepts to draft system diagrams and raise firewall connectivity
• Techno-functional skillset who can design technical solutions and operational processes

What we're looking for

• Relevant degree in Computer Science, Information Systems, or a related field
• Solid 8-10 yrs experience in Unix/Linux, Shell Scripting, SQL and database management is Must
• At least 6 years of hands-on experience in middleware (Apache, Jboss, and Maria database) installation, configuration and troubleshooting
• Strong understanding of KYC and AML regulations, processes, and systems
• Proficiency in analysing requirements, designing solutions, and implementing system enhancements
• Excellent problem-solving, critical thinking, and communication skills

Job description

1. Project: Manage life cycle management (LCM) and improvement projects for network, servers, storage, backup and voice infrastructure.
Be responsible for the execution (on scope, on time, on budget) of all assigned projects
As assigned, lead or assist in the planning, implementation and introduction of projects for new systems and technologies.
Drive IT changes and standardization aligned with the GIT and CPS IT strategy.
Track delivered benefits of the infrastructure programs.

2. Exploitation: Administer, Monitor and measure performance of infrastructures component.
Manage and monitor data backup on infrastructure component (Servers data, Network configuration …)
Patch and update infrastructure component (Servers …).

3. Support: Provide 2nd level support for network infrastructure, servers, voice infrastructure
Support plant information systems (shop floor network, Radio frequency equipment …)
Driving service improvement plans on ongoing basis.

4. Engagement: Building sustainable relationships with the Engineering and Manufacturing teams in his location to support business changes and standardization 10%

5. Assists in research and fact-finding to develop or modify information systems; assists in preparing detailed specifications from which programs will be written; analyzes existing system logic difficulties and documentation; may use CASE tools. Individual contributor representing the most common entry point for this career stream; works under direct supervision.

Job Description:

• Collaborate with other developers and engineers to design, build, and maintain applications.
• Develop end-to-end specifications for solution components.
• Perform testing and implementation of the solution.
• Troubleshoot software issues and participate in impact analysis of encountered issues.
• Generate relevant documentations, reports etc.
• Contribute to continuous improvement of software development best practices.
• Keeping up-to-date with industry trends and technology developments.

Requirements:

• Degree in Computing/ Computer Science/ Computer Engineering/ Info Systems / EEE or equivalent
• Entry level candidates with good learning attitude and relevant experience can be considered.
• Familiar to full-stack development and understand concepts of software engineering.
• Knowledge of Agile Development methodology.
• Knowledge of basic coding languages such as C++, Javascript, HTML5 and Java
• Basic programming experience.
• Knowledge of databases (SQL / NoSQL).
• Comfortable using AngularJS, NodeJS, ReactJS and other common frameworks to develop software for various platform.
• Ability to learn new software and technologies quickly.
• Ability to follow instructions and work in a team environment.
• Good team player with critical thinking, analytical and creative problem-solving skills.
• Detail-oriented.
• Candidates with more professional/complexity of experience can be considered for the senior role

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

Responsibilities

· Implement advanced monitoring systems to enhance product quality and yield.

· Identify improvement areas and lead initiatives to optimize production.

· Lead efforts to address and improve abnormal quality issues in manufacturing processes.

· Collaborate across teams to implement solutions and preventive measures.

· Strengthen internal quality control and improve process capabilities. Drive initiatives that maximize operational efficiency.

· Lead corrective actions on customer-reported quality issues and communicate preventive solutions to stakeholders.

· Streamline quality inspection planning, integrating automation and advanced technologies where possible.

· Foster communication and coordination with design, production, and other teams to ensure quality standards are maintained.

· Manage task assignments, performance, and development of the quality team, ensuring deliverables are met on time.

Requirements

· Bachelor’s degree or above

· Proven experience in quality engineering, particularly in manufacturing and design quality

· Familiarity with quality management systems and standards. Certification in Six Sigma or similar is a plus.

· Willingness to travel and work abroad in China or Vietnam at least 10 months a year.

To find out more about this opportunity, please contact Lionel Liew at [email protected].

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lionel Liew | Registration No: R1330693

Responsibilities

· Develop and implement supplier quality monitoring systems to ensure materials and components meet quality standards. Identify and address any non-conformance issues with suppliers.

· Collaborate with suppliers to optimize their processes, enhancing yield and ensuring consistent quality of materials and parts.

· Lead efforts to address and resolve abnormal quality issues with suppliers, implementing corrective and preventive actions.

· Conduct supplier audits to assess quality systems, process capabilities, and compliance with industry standards. Drive improvement initiatives based on audit findings.

· Work with suppliers to develop their quality processes, ensuring alignment with company standards and customer expectations.

· Coordinate with design, production, and procurement teams to ensure seamless communication and alignment on quality expectations from suppliers.

· Promote a culture of continuous improvement by working closely with suppliers to enhance their quality management systems and manufacturing processes.

Requirements

· Bachelor’s degree or above.

· Proven experience in supplier quality engineering, particularly in a manufacturing or electronics environment.

· Strong knowledge of supplier quality management systems and standards. Excellent analytical, problem-solving, and negotiation skills.

· Familiarity with supplier audits, corrective actions, and continuous improvement processes.

· Certification in Six Sigma or similar is a plus.

· Willingness to travel extensively and work abroad in China or Vietnam at least 10 months per year.

To find out more about this opportunity, please contact Lionel Liew at [email protected].

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lionel Liew | Registration No: R1330693

Key Responsibilities

• Data entry
• Scanning, filing, photocopying and sorting of document
• Keying invoices into Excel
• Other ad hoc duties assigned

Minimun Qualification

• Diploma/Degree Holder

TELE me at @renovatingmyhouse or WA me at https://wa.me/+6586882353 NOW!

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

Celine Liew

Outsourcing Team

Recruit Express Pte Ltd (EA Licence No.: 99C4599)

About DKatalis

DKatalis is a financial technology company with multiple offices in the APAC region. In our quest to build a better financial world, one of our key goals is to create an ecosystem-linked financial services business. DKatalis is built and backed by experienced and successful entrepreneurs, bankers, and investors in Singapore and Indonesia who have more than 30 years of financial domain experience and are from top-tier schools like Stanford, Cambridge London Business School with more than 30 years of building financial services/banking experience from Bank BTPN, Danamon, Citibank, McKinsey & Co, Northstar, Farallon Capital, and HSBC.

About the role

We are seeking an experienced Senior Data Scientist to lead our data science initiatives and drive innovation in our financial technology products and services. The ideal candidate will have a strong background in machine learning, deep learning, and their applications in the banking and financial services industry.

Key Responsibilities:

• Lead the development and implementation of advanced machine learning models for a variety of projects, including but not limited to:
  • Fraud detection and prevention
  • Anomaly detection in financial transactions
  • Recommendation engines for financial products
  • Risk assessment and management
  • Customer segmentation and personalization
  • Credit scoring and loan approval automation
  • Anti-money laundering (AML) systems
  • Market trend prediction and algorithmic trading
• Develop and implement large language models (LLMs) for applications such as:
  • Automated document processing and information extraction
  • Sentiment analysis of customer feedback and market reports
• Collaborate with cross-functional teams, including engineering, business stakeholders, and data analysts to identify opportunities, define problems, and implement data-driven solutions
• Mentor junior data scientists and provide technical leadership to the data science team
• Design and oversee the end-to-end machine learning pipeline, from data ingestion and preprocessing to model deployment and monitoring in production environments
• Stay current with the latest advancements in AI and machine learning, particularly in the fintech space, and incorporate new techniques into our projects
• Communicate complex technical concepts to both technical and non-technical audiences, including executives and stakeholders

Requirements:

• Degree in Computer Science, Statistics, Applied Mathematics, or a related quantitative field
• 5+ years of experience in applied data science, with a strong focus on the banking and financial services industry
• Proven track record of building and deploying machine learning models into production environments
• Proficiency in Python and the PyData ecosystem (NumPy, pandas, scikit-learn)
• Strong experience with deep learning frameworks such as PyTorch or TensorFlow
• Familiarity with cloud platforms (AWS, GCP, or Azure) and their machine learning services
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL
• Experience with A/B testing and experimental design in a financial context
• Demonstrated ability to work with and process various data types, including structured financial data, unstructured text, and time series data
• Strong understanding of statistical concepts and their applications in finance
• Excellent communication skills, with the ability to present complex ideas to both technical and non-technical audiences
• Experience leading projects and mentoring junior team members

What will make you stand out:

• Experience with LLMs, including fine-tuning and deployment for specific use cases
• Knowledge of MLOps practices and tools for model versioning, deployment, and monitoring
• Relevant open-source projects, blog posts, conference talks, etc

This role offers an exciting opportunity to work at the forefront of financial technology, applying cutting-edge machine learning techniques to solve real-world problems in the banking and financial services industry. The successful candidate will play a crucial role in shaping the future of our products and services, driving innovation, and contributing to the growth of DKatalis.

• Good Bonus - AWS + up to 6 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply
• Entry level / Junior / Senior / No experience welcome apply X 3 Opening
• Full training provided

Responsibilities:

§ Project execution and implementation activities for energy monitoring systems projects.

§ Co-ordinate site staff and plan site activities for ongoing and maintenance projects.

§ Record and maintain proper project documentation record

Requirements:

§ Diploma/Degree in Electrical/ Electronics/ Computer Engineering / Computer Science from a recognised Polytechnic/University

§ Preferably with experience in Energy Monitoring System

§ Our benefits and compensation for permanent position are as follows:

§

§ Salary for experience candidates will be considered based on the years of experience and our internal salary structure

§

§ 1 month AWS

§ Variable Bonus ranging from 1 to 6 months depending on individual and company performance

§ Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

§ Working days: Monday to Friday (1 day work from home per week)

§ Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

§ 18 days up to 21 days for executive (Engineer and above)

§ Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

§ Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

§ Term Life

§ Personal Accident

§ Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

§ Flex Dollars of $500 per financial year

§ Free annual year-end Health Check-Up

§ Monthly Birthday Party Celebration

§ Monthly Sports Activities

§ New Born Gift

§ CSR Initiatives

§ Department Bonding Activities

§ Biennial team building and staff appreciation dinner

§ Gym Corner for employees to exercise

§

§ Good Pay + Good allowance + Good Bonus

§ Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

§ Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

• Good Bonus - AWS + up to 6 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply
• Entry level / Junior / Senior / No experience welcome apply X 3 Opening
• Full training provided

Responsibilities:

§ Project execution and implementation activities for energy monitoring systems projects.

§ Co-ordinate site staff and plan site activities for ongoing and maintenance projects.

§ Record and maintain proper project documentation record

Requirements:

§ Diploma/Degree in Electrical/ Electronics/ Computer Engineering / Computer Science from a recognised Polytechnic/University

§ Preferably with experience in Energy Monitoring System

§ Our benefits and compensation for permanent position are as follows:

§

§ Salary for experience candidates will be considered based on the years of experience and our internal salary structure

§

§ 1 month AWS

§ Variable Bonus ranging from 1 to 6 months depending on individual and company performance

§ Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

§ Working days: Monday to Friday (1 day work from home per week)

§ Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

§ 18 days up to 21 days for executive (Engineer and above)

§ Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

§ Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

§ Term Life

§ Personal Accident

§ Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

§ Flex Dollars of $500 per financial year

§ Free annual year-end Health Check-Up

§ Monthly Birthday Party Celebration

§ Monthly Sports Activities

§ New Born Gift

§ CSR Initiatives

§ Department Bonding Activities

§ Biennial team building and staff appreciation dinner

§ Gym Corner for employees to exercise

§

§ Good Pay + Good allowance + Good Bonus

§ Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

§ Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

• Good Bonus - AWS + up to 6 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply

• Entry level / Junior / Senior / No experience welcome apply X 3 Opening

• Full training provided

Responsibilities:

§ Planning, co-ordination and execution of LTA and SMRT projects

§ To attend all interface and co-ordination meetings with different stakeholders and contractors

§ Installation, monitoring, supervision, testing and troubleshooting of RTU at site

§ Preparation of project documents and drawings

Requirements:

§ Relevant Diploma in Electrical Engineering/Computer Engineering from a recognised Polytechnic

§ Strong interpersonal skill with a positive attitude

Our benefits and compensation for permanent position are as follows:

Salary for experience candidates will be considered based on the years of experience and our internal salary structure

1 month AWS

Variable Bonus ranging from 1 to 6 months depending on individual and company performance

Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

Working days: Monday to Friday (1 day work from home per week)

Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

18 days up to 21 days for executive (Engineer and above)

Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

Term Life

Personal Accident

Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

Flex Dollars of $500 per financial year

Free annual year-end Health Check-Up

Monthly Birthday Party Celebration

Monthly Sports Activities

New Born Gift

CSR Initiatives

Department Bonding Activities

Biennial team building and staff appreciation dinner

Gym Corner for employees to exercise

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Your Role

As a Lead Data Engineer, you will play a leading role in designing, building, and optimizing our data infrastructure, ensuring that it supports the advanced analytics need of the bank. You will oversee a team of data engineers, working closely with data analysts, DevOps team, infrastructure engineers, and other stakeholders to deliver high-quality data solution.

Your main responsibilities will include:

· Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data.

· Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.

· Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.

· Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions.

· Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.

· Optimize data engineering workflows for containerized deployment and efficient resource utilization.

· Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability.

· Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements.

· Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure.

· Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference.

· Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps.

· Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank.

Requirements

· Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.

· At least 10 years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments.

· Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)

· Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.

· Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.

· Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

· Experience with Grafana, Prometheus, Splunk will be an added benefit

· Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges.

· Excellent collaboration and communication skills to work effectively with cross-functional teams.

· Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment.

· Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.

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

The success of TikTok's data business model hinges on the supply of a large volume of high quality labeled data that will grow exponentially as our business scales up. However, the current cost of data labeling is excessively high. The Data Solutions team is built to understand data strategically at scale for all Global Business Solution (GBS) business needs. Data Solutions Team uses quantitative and qualitative data to guide and uncover insights, turning our findings into real products to power exponential growth. Data Solutions Team responsibility includes infrastructure construction, recognition capabilities management, global labeling delivery management.

About the role

We are looking for product manager/data business analyst to build a platform in order to power the monetization business with unstructured data. The end-to-end product will need to drive the scaling of data labelling / annotation through automated processes and deliver significant measurable impact with the least possible cost (labelling productivity and efficiency).

What You'll Do

As a product owner, what you will do

1. Develop and implement the product strategy and roadmap;

2. Conduct market research, competitor studies, and gather customer feedback and translate them into product design;

3. Define and prioritize product features based on business goals and customer needs, design screen mockups through figma, deliver PRDs that illustrate design clearly, present with developers;

4. Conduct user acceptance test;

5. Monitor product performance and iterate based on user feedback and market trends;

6. Collaborate with cross-functional teams to ensure successful product launches and ongoing development.

Qualifications

Minimum Qualifications:

1. Bachelors/Master's degree in related business or technical field, or equivalent (preferably in Computer Science);

2. 3 years of working experience with at least 1 or 2 years of product management experience;

3. Ability to develop long-term product vision and roadmap and translate into executable deliverables and milestones;

4. Knowledge and passion for technical and platform product management experiences;

Preferred Qualifications:

1. Experience in driving elements of product development life cycle from vision to execution (i.e., product vision, GTM strategy, driving requirements and product launch);

2. Experience working on large scale platforms to drive growth, retention, and engagement initiatives for cloud/enterprise and/or developer areas.

3. Excellent customer-facing written and verbal communication and presentation to stakeholders and executives;

4. Ability to influence & guide cross-functional teams without authority (e.g. Engineering, UX/UI, Program Management etc.)

5. Familiar with PRD writing(e.g. wireframes, figma, swimlane diagram, sequence diagram etc.) and functional design.

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 Descriptions：

• Responsible for the operation and maintenance of mobile equipment in idc
• Responsible for the operation and maintenance of the Linux server/switch/AP in idc
• Responsible for the operation and maintenance management specifications of idc

Job Requirements

• Understand common Linux maintenance commands, Android device flashing, etc. ADB instructions are preferred
• Basic understanding on Network Protocols, and server operation in Linux OS
• Excellent communication skills (oral and written) in English. Being able to converse in Mandarin and write will be a bonus.

Job Description

• Industry/ Organization Type: Manufacturing
• Position Title: Data Entry (Part Time)
• Working Location: Jurong East
• Working Hours: 2-3 days (Tuesday, Thursday 8.30 am – 5.30 pm)
• Salary Package: Basic $1,000
• Duration: 2 months

Key Responsibilities

• Assist in entering Purchase Orders (P/O) for every sales entry.
• Maintain accurate and up-to-date sales records.
• Ensure data integrity and consistency in the sales admin system.
• Support the sales admin team with additional data entry tasks as needed.
• Perform routine checks to ensure all entered data is complete and accurate.

APPLY NOW!!!

• Previous experience in data entry is an advantage.
• Proficient in basic computer applications, such as Microsoft Office.
• Detail-oriented with a high level of accuracy.
• Good organizational and time management skills.
• Ability to work independently and as part of a team.

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 #67480 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:

• Primarily to support the data processing and analysis.
• Survey conducted with firms to understand the current state of the workforce in the Built Environment sector. There will be multi-agency coordination to develop specific sectoral based approaches.
• The position involves manpower workforce-related data collection, data cleaning and analysis to the study sector. The job holder will be responsible with processing the data to meet several study outcomes. Under the guidance of supervisor
• May also be assigned and exposed to other areas of work, such as firms’ engagement, addressing firms and updates.

Work Schedule:

• Monthly Salary: Up to $3600/month
• Contract Period: 12 months
• Location: Jem
• Working days: Mon to Fri
• Working time: Mon - Thurs: 8.30am to 6.00pm; Fri: 8.30am to 5.30pm

Job Requirement:

• Diploma holder and above with disciplines in Engineering & Science
• There will be learning opportunity for candidates who are keen to understand national programme development and data applications in programmes
• Strong interest in understanding the construction sector and stakeholders involved management firms, are encouraged to apply.
• Strong data analytical knowledge and data processing skillsets such as PowerBI, Process Automation (RPA) will be preferred.
• Professional writing skills and presentation skills will be advantageous.