Total 57,316 process engineer job vacancies in Singapore

Shift Pattern: 2-2-3 (8am - 8pm/8pm - 8am)

6 Months Contract + 2 weeks completion bonus

Jobscope:

• Perform production activities such as raw or intermediate material receiving, staging, material movement, dispensing, sampling, filter inspections, material charging, offloading, drum packing, milling operations, and housekeeping per SOP
• Ensure proper communication and handling over of shift duties

TELE me at @yijingggggg or WA me at https://wa.me/+6598623556 NOW!
Interested candidates, please submit your resume to [email protected]

Alison Chen
Outsourcing Team
Recruit Express Pte Ltd (EA Licence No.: 99C4599)

Key Responsibilities:

• Develop efficient, maintainable code while adhering to best practices in software engineering.
• Utilize DevSecOps tools for code deployment and version control.
• Conduct in-depth research and analysis on retrieval techniques, language models, and generative AI methods.
• Collaborate with data engineers to ensure the efficiency and accuracy of data pipelines.
• Continuously refine Retrieval Augmented Generation (RAG) methods, including embedding, chunking, and search algorithm optimization through experimentation and feedback.
• Explore various retrieval strategies, such as information retrieval, nearest-neighbor searches, or knowledge graph-based approaches, to enhance generative AI models.
• Optimize and fine-tune AI models for improved performance, scalability, and accuracy.
• Partner with cross-functional teams, including product managers, data scientists, and engineers, to understand requirements and deliver AI-driven solutions.
• Present insights and findings to stakeholders, contributing to strategic decisions.
• Document AI models, algorithms, and processes thoroughly.
• Prepare technical reports and presentations to effectively communicate results.
• Stay current with the latest advancements in AI and machine learning technologies.
• Participate in Agile ceremonies to execute prioritized projects and features.
• Implement automated testing and monitoring to ensure AI system accuracy and reliability.

Education:

• Qualifications are evaluated on a case-by-case basis, but preferred backgrounds include fields such as Mathematics, Statistics, Computer Science, Data Science, Analytics, Physics, or Bioinformatics.

Requirements:

• 4+ years of experience in AI engineering.
• Proficiency in Python programming.
• Experience in building scalable AI solutions using modern technology stacks, including cloud services, data pipelines, databases, and necessary tooling.
• Familiarity with CI/CD processes and test-driven development.
• Experience in developing Restful APIs for AI models.
• Strong understanding of machine learning concepts, including neural networks, optimization algorithms, and evaluation metrics.
• Knowledge of Retrieval Augmented Generation (RAG) techniques.
• Familiarity with prompt engineering techniques like instruction design, template-based approaches, rule-based conditioning, or fine-tuning strategies.
• Strong analytical and organizational skills, capable of managing multiple projects.

Preferred:

• Experience with Agile methodologies.
• Knowledge of additional programming languages such as Node.js, TypeScript, C#, or Java.
• Demonstrated experience in developing and refining prompts for generative AI models, particularly in creative or text generation areas.
• Experience with AWS Cloud and building, deploying, and managing Docker images.

Interested candidates who wish to apply for the advertised position, please clock on “Apply”. We regret that only shortlisted candidates will be notified.

EA License No.: 01C4394 (PERSOLKELLY Singapore PTE LTD)

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Information:

1. Salary range: $400 - $6500
2. Allowance: $250 transport allowance

Responsibilities:

• Handles all opportunities from leads to ensure timely fulfilment and profitability of business unit
• Provides accurate forecast and sales pipeline plans to management for planning
• Promotes Service Sales (Aftermarket products) to distributors in conjunction with spare parts sales
• Work with the sales team to develop sales strategies to target new opportunities
• Understand various diesel industrial engines & provide support to distributors
• Optimizes inventory level to achieve low stock-up cost and satisfactory parts availability to customers
• Maintains accurate records of all projects, pricings, sales, and activity reports
• Creates and conducts proposal presentations for sales representatives, customers, and prospects
• Leads and participates in continuous improvement projects in cross-functional areas
• Performs any other parts sales and aftermarket duties as and when assigned

Requirements:

• Diploma/Degree in Mechanical or Electrical Engineering with 3 years of relevant experience
• Able to commit traveling in the Asia Pacific and South East Asia Region (10-15%)
• Good presentation skills, strong verbal and written communication skills
• Knowledgeable on spare parts/power generation products
• Prior spare parts experience with engines manufacturers will be advantageous

Interested applicants, send in your updated resume by clicking “Apply Now”

Michelle Koh

EA License No.: 23C1894

EA Personnel No.: R1656105

Job Description:
We are seeking an experienced and motivated Presales Engineer - Network Or Server to join Client's team. The ideal candidate will have a solid technical background in IT and networking, along with strong communication and relationship management skills. In this role, you will work closely with customers, sales teams, and partners to deliver customized solutions during the presales phase, ensuring a smooth transition to the operational teams.

Key Responsibilities:

Technical Support & Solution Design:

• Provide technical support and design solutions during the presales phase to meet client requirements.
• Assess customer needs and propose appropriate solutions to support sales strategies.

Project Estimation & Documentation:

• Collaborate with customers, sales teams, product vendors, and service partners to prepare accurate project estimates and detailed documentation.

Bid & Proposal Management:

• Lead technical presentations and clarify requirements during the bidding processes.
• Work closely with stakeholders to develop competitive proposals and address client queries.

Customer Engagement & Product Demonstrations:

• Perform product demonstrations and engage with clients early in the sales cycle to promote solutions.
• Build and maintain strong relationships with customers and vendors to ensure successful presales engagements.

Qualifications & Requirements:

Educational Background:

• Diploma or Degree in a relevant IT field.

Professional Experience:

• Minimum of 3 years of experience in presales, network engineering, or a similar role.

Certifications:

• Certifications in networking or security (e.g., Cisco, Huawei) are preferred.

Skills & Competencies:

• Strong communication, presentation, and vendor management skills.
• Excellent analytical and problem-solving abilities with attention to detail.
• Highly motivated, team-oriented, and proactive in driving presales success.

Interested candidates who wish to apply for the advertised position, please click on “Apply”. We regret that only shortlisted candidates will be notified.

EA License No.: 01C4394 (PERSOLKELLY Singapore PTE LTD)

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Key Responsibilities:

• Develop efficient, maintainable code while adhering to best practices in software engineering.
• Utilize DevSecOps tools for code deployment and version control.
• Conduct in-depth research and analysis on retrieval techniques, language models, and generative AI methods.
• Collaborate with data engineers to ensure the efficiency and accuracy of data pipelines.
• Continuously refine Retrieval Augmented Generation (RAG) methods, including embedding, chunking, and search algorithm optimization through experimentation and feedback.
• Explore various retrieval strategies, such as information retrieval, nearest-neighbor searches, or knowledge graph-based approaches, to enhance generative AI models.
• Optimize and fine-tune AI models for improved performance, scalability, and accuracy.
• Partner with cross-functional teams, including product managers, data scientists, and engineers, to understand requirements and deliver AI-driven solutions.
• Present insights and findings to stakeholders, contributing to strategic decisions.
• Document AI models, algorithms, and processes thoroughly.
• Prepare technical reports and presentations to effectively communicate results.
• Stay current with the latest advancements in AI and machine learning technologies.
• Participate in Agile ceremonies to execute prioritized projects and features.
• Implement automated testing and monitoring to ensure AI system accuracy and reliability.

Education:

• Qualifications are evaluated on a case-by-case basis, but preferred backgrounds include fields such as Mathematics, Statistics, Computer Science, Data Science, Analytics, Physics, or Bioinformatics.

Requirements:

• 4+ years of experience in AI engineering.
• Proficiency in Python programming.
• Experience in building scalable AI solutions using modern technology stacks, including cloud services, data pipelines, databases, and necessary tooling.
• Familiarity with CI/CD processes and test-driven development.
• Experience in developing Restful APIs for AI models.
• Strong understanding of machine learning concepts, including neural networks, optimization algorithms, and evaluation metrics.
• Knowledge of Retrieval Augmented Generation (RAG) techniques.
• Familiarity with prompt engineering techniques like instruction design, template-based approaches, rule-based conditioning, or fine-tuning strategies.
• Excellent communication and collaboration skills.
• Strong analytical and organizational skills, capable of managing multiple projects.

Preferred:

• Experience with Agile methodologies.
• Knowledge of additional programming languages such as Node.js, TypeScript, C#, or Java.
• Demonstrated experience in developing and refining prompts for generative AI models, particularly in creative or text generation areas.
• Experience with AWS Cloud and building, deploying, and managing Docker images.

Interested candidates who wish to apply for the advertised position, please clock on “Apply”. We regret that only shortlisted candidates will be notified.

EA License No.: 01C4394 (PERSOLKELLY Singapore PTE LTD)

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

Responsibilities :

• Provide post-sales maintenance support on servers/storage (IBM/HP/DELL/SUN) and operating systems (Linux/Unix/Windows) at customer locations
• Troubleshooting and replacement of hardware;
• Troubleshooting of operating system;
• Handling of hardware migration/implementation project;
• Perform preventive and proactive maintenance;
• Escalation and management of complex issues.

Required skills and experience:

• Minimum 3 years of experience in a similar capacity and diploma holder or above in Computer Engineering/Science or related discipline;
• Strong server and storage hardware configuration knowledge will be an advantage;
• Capable of using operating systems: Microsoft Windows, Unix, ESX, and Linux are preferable;
• Proficiency in solving computer hardware-related issues for IBM, DELL, and HP
• Strong sense of customer service and team efficiency;
• Able to provide non-office hours standby and support service;

Interested candidates who wish to apply for the advertised position, please click on “Apply”. We regret that only shortlisted candidates will be notified.

EA License No.: 01C4394 (PERSOLKELLY Singapore PTE LTD)

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

As a Data Engineer with expertise in Databricks, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure in the cloud. You will play a key role in enabling data analytics, machine learning, and data-driven decision-making processes by leveraging the full potential of Databricks and its integration with big data technologies.

Key Responsibilities:

• Data Pipeline Development: Design, develop, and optimize robust ETL pipelines using Databricks and Apache Spark for processing large-scale datasets. Ensure data pipelines are scalable, efficient, and capable of handling both batch and streaming data
• Databricks Platform Expertise: Leverage the Databricks platform to perform data transformations, data integration, and advanced analytics. Use Databricks notebooks for building reusable data pipelines, automating workflows, and ensuring data quality
• Cloud Data Engineering: Build, deploy, and manage data infrastructure on cloud platforms (e.g., Azure, AWS, GCP) using Databricks and other cloud-native tools. Work with Delta Lake and data lakehouse architectures to enable reliable and real-time data analytics
• Data Modeling & Optimization: Develop and maintain data models that optimize query performance and support analytics use cases. Implement data partitioning, indexing, and caching strategies in Databricks to improve performance and reduce costs
• Collaboration with Data Teams: Collaborate with Data Scientists, Data Analysts, and other stakeholders to understand business requirements and translate them into scalable data solutions. Ensure data is easily accessible for analytics and reporting
• Big Data Processing: Implement and maintain big data pipelines using Apache Spark on Databricks, focusing on high-performance processing of large datasets. This includes batch processing, real-time streaming, and machine learning workflows
• Automation & Orchestration: Build automated data workflows using tools like Airflow or cloud-native orchestrators. Ensure data workflows are resilient, monitor performance, and handle failure gracefully
• Data Governance & Security: Ensure all data solutions adhere to organizational data governance and security standards. Implement role-based access controls, data masking, and encryption in Databricks to maintain data privacy and security
• Performance Tuning: Continuously monitor and optimize data pipeline performance. Utilize Databricks features such as auto-scaling, caching, and cluster management to ensure optimal cost-efficiency and performance
• Documentation & Best Practices: Develop and maintain comprehensive documentation for data pipelines, models, and architecture. Promote best practices in data engineering and drive continuous improvements in processes and technology

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field
• Proven experience as a Data Engineer, with a focus on building data pipelines and solutions using Databricks
• Strong knowledge of Apache Spark and experience in optimizing Spark jobs
• Proficiency with cloud platforms such as Azure, AWS, or Google Cloud, and familiarity with Delta Lake or data lakehouse architectures
• Experience with data modeling, performance tuning, and SQL
• Hands-on experience with Python or Scala for data processing and workflow automation
• Familiarity with data orchestration tools such as Airflow, Databricks Workflows, or similar
• Knowledge of data governance, security, and compliance best practices in the cloud
• Experience with CI/CD pipelines and DevOps for data engineering

Only shortlisted candidates will be contacted by KPMG Talent Acquisition team, personal data collected will be used for recruitment purposes only.

At KPMG in Singapore we are committed to creating a diverse and inclusive workplace. We believe that diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients and communities. As an equal opportunity employer, all qualified applicants will receive consideration for employment regardless of age, race, gender identity or expression, colour, marital status, religion, sexual orientation, disability, or other non-merit factors. We celebrate the different talents that our people bring and support every staff member in their journey to achieve personal and professional growth. One of the ways we do this is through Take Charge: Flexi-work, our flexible working framework which enables agile and innovative teams to help deliver our business goals.

Salary: up to $3600

Duration: 6 months

Working Days & Hours: 8.00AM TO 8.00PM (12 HOURS ROTATING SHIFTS)

Shift Pattern: 4,3,3,4

Location: Jurong Island (pickup provided)

Job Description:

• Operates equipment in the production systems, prepares solutions, monitors certain measuring instruments and equipment, and assists in unloading and loading operations.
• Carries out cleaning, maintenance, and minor repair work in the production systems.
• Participates and responds to the emergency response team
• Assist maintenance team in plant repair

Job Requirements: Min Diploma in Chemical Process Technology/Chemical Engineering or similar

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]

Job Responsibilities:

• Responsible for monitoring and controlling the plant operation.
• Performs minor routine preventive maintenance and calibration of plant equipment to maintain operating efficiency.
• Work closely with maintenance team in troubleshooting and maintaining plant equipment under safety guideline.
• Starting up and shutting down process under the direction of supervisor.
• Regularly inspect equipment for any abnormalities.
• Perform other duties as assigned.

Job Requirements:

• Good interpersonal and communication skill
• A good team player with positive working attitude
• Able to commit 12hrs shift and overtime work
• Able to work in process treatment plant
• Company transportation provided

AngelineMah
Reg No: R2096146
One Vogue Pte Ltd
EA License: 19C9629

Responsibilities

· Monitors status of scaffolding works on a daily, weekly and monthly basis and provide reports to the Construction Manager as per the project reporting procedure

· Ensure that Scaffold registers and Scaffold inspections are kept up to date in line with procedures

· Liaise and coordinate internally with Clients and Contractors

· Discuss and resolve daily problems with his crew supervisors and the construction group to ensure smooth execution of the scaffolding erection/inspection or removal program

· Company’s safety rules and regulations at site

· Supervise workers at site

· Identify the type of required scaffolding for the job

Requirements

. ITE/CITC certified and at least 3 years’ experience in scaffolding work

· Certified scaffold supervisor and Work at Height approved by MOM

·Understanding of current WSHA scaffold regulations, Singapore codes of practice, standard for scaffold

3+ years of experience in network security engineering.

- Proficiency in Cisco Catalyst Switches (IOS), Cisco Nexus Switches (NXOS), and Alcatel Lucent Switches (AOS).

- Experience in configuring and managing Palo Alto and Fortinet Fortigate Firewalls.

- Hands-on experience with Alcatel Lucent Wireless Controllers.

- Familiarity with SolarWinds NPM / NCM for network monitoring and configuration management.

- Proficient in ClearPass Policy Manager for network access control and policy enforcement.

- Knowledge of network protocols, security architectures, and best practices.

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

- Excellent communication and teamwork abilities.

Additional Preferred Skills:

Though not mandatory, the ideal candidate will also have exposure to the following technologies:

- Experience with other firewall solutions beyond Palo Alto and Fortinet, such as Check Point or Cisco ASA.

- Proficiency in network encryption protocols and VPN technologies.

- Understanding of network segmentation and micro-segmentation principles.

- Knowledge of intrusion detection/prevention systems (IDS/IPS).

- This role demands a proactive individual with a strong technical background in network security. If you possess these skills and are looking for a challenging opportunity in network security engineering, we encourage you to apply and become a valuable part of our dedicated team.

Working Hours: Mon-Sat 8am-6pm

Responsibilities

- To assist Project Manager on the day-to-day management of the site, including supervising and monitoring the site labourforce and the work of any subcontractors

- Liaising with local authorities, client's representatives, sub-contractors and consultants.

- Checking and ensuring all plans and work are as per specifications

- Resolving any technical difficulties and problem that may arise on site.

Requirements

- Degree holder in Construction/Building or related discipline.

- Minimum 2years experience from Contruction background.

- Positive personality and good team player.

- Meticulous and responsible.

- Able to multi task and work in tight schedules.

- Able to start with short notice would be an advantage

Compensation & Benefits

• Annual Increment
• Performance Incentive Bonus
• Career Progression

For quick reply, please contact me at +65 85878287

Registration Number: R21100938

EA Licence No: 22C1301 (Unisearch Services Pte Ltd)

• 5 days work week
• Company transport provided
• Training provided

As a Service Engineer, you will be responsible for the following duties:

• Responsible for repairing and servicing service
• Provide and perform installation services
• Implementation of machine's program
• Ensure smooth running of machine
• Collect customer feedback and ensure customer's satisfaction
• Ensure proper documentation and records

Requirement:

• Min. Diploma qualification in relevant field
• Min 1 year of relevant experience preferred
• Possess Class 3 driving license

To apply, simply click on the ‘’apply’’ button in the job advertisement or alternatively, you can send in your resume via email
Email Address: [email protected]

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

ALLIED SEARCH PTE. LTD.

EA LICENSE : 19C9777

Job Description:

• 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 and the ability to speak Chinese are considered a plus.
• 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.

Requirements:

• Strong logical thinking and programming skills.
• Excellent communication skills.
• Experience in the financial industry is a plus.
• Proficiency in SAS programming is a plus.

• 4- 9 yrs and 6-9 yrs experience.

Responsibilities:

• Design and build data pipelines: Create the infrastructure to collect, process, and store data from various sources.
• Develop data assets platform: This platform provides a centralized repository for managing and accessing data assets.
• Implement automated SQL generation: Create tools and processes to automatically generate SQL queries based on user-defined criteria or business requirements. This can involve using techniques like query templates, metadata-driven generation, or machine learning algorithms.
• Create new IPs in Singapore in area of expertise
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development
• Overseas process development support for short term assignments

Key Qualifications/Requirements:

• Bachelors (w/ min. 3 yrs of relevant working exp.)/ Masters (w/ min. 2 yrs of relevant working exp./ PhD (w/ min. 1 yr of relevant working exp.Computer Science,
  Data Science,
  Statistics Applied Sciences, or related field.
  

Work experience/Skillset:

• Programming skills : Proficiency in programming like Python, SQL, Java, or Scala is essential for data manipulation and automation.
• Data Warehousing and ETL: Understanding of data warehousing concepts, ETL (Extract, Transform, Load) processes, and tools like Informatica, Talend, or Airflow.
• Database Management: Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra) is crucial.
• Cloud Platforms: Experience with deploying and managing data infrastructure.
• Data Modelling: Ability to design and implement data models that effectively represent business requirements.
• Data Quality: Understanding of data quality concepts, validation techniques, and tools.
• Automation Tools: Familiarity with tools like Apache Airflow, Kubernetes, or Ansible for automating data pipelines and infrastructure.
• Machine Learning: Basic understanding of machine learning algorithms can be beneficial for certain automation tasks, such as query optimization or anomaly detection.

Job Description & Requirements

We are seeking a skilled Software Engineer with experience in Java-based application development. The role involves executing projects within the financial domain, managing priorities, and providing optimal solutions. The candidate should have strong development skills, a proactive attitude, and the ability to deliver high-quality outcomes.

Responsibilities:

• Java Application Development: Hands-on development using Java/J2EE, with an emphasis on delivering optimal code for improved performance.
• Business Outcome Achievement: Execute projects to achieve successful business outcomes in the financial domain.
• Requirement Analysis: Understand requirements and clarify ambiguities by collaborating with analysts.
• Application Design: Make appropriate design decisions for efficient application architecture.
• Database Optimization: Write optimal SQL queries, PL/SQL blocks, or procedures to ensure optimal performance.
• Unit Testing: Identify and address defects during unit testing to ensure better product delivery.
• Testing Support: Support testing during SIT, UAT, Pre-production, and production environments.
• System Improvement: Propose architectural or design changes to improve system performance and maintainability.
• Team Collaboration: Work effectively with the team and contribute individually as required.
• Customer Expectations Management: Manage customer expectations and provide timely support.
• SQL Tuning: Apply SQL tuning and database concepts to enhance system efficiency.
• Positive Attitude: Work well within teams and contribute effectively to collaborative efforts.

Job Requirement (Skills Required):

• Java Experience: Strong experience in Java-based application development, including advanced Java frameworks like Spring.
• Spring Boot & Frameworks: Hands-on experience in Spring Boot, ORM, Spring MVC, Security, Caching, and microservices development.
• DevOps Experience: Experience with DevOps CI/CD tools like Jenkins and Bitbucket.
• Communication Skills: Strong communication skills for effective collaboration.

Good to Have:

• DevOps Knowledge: Familiarity with DevOps and CI/CD.
• Education: Bachelor’s degree in Engineering.
• Agile Methodology Experience: Experience delivering projects using Agile practices.
• SOA Development: Experience developing Service-Oriented Architecture-based solutions.

Technical / Professional Skills:

• IT Project Delivery: Experience with IT project delivery using Waterfall methodology.
• Software Development Lifecycle: Complete understanding of the software development lifecycle.
• Communication Skills: Strong communication and interpersonal skills.
• Vendor Management: Experience working with external vendors and managing outsourced projects.

Good to Have:

• Technical Certifications: Certifications in Java and related technologies.
• Database Certification: Certification in Oracle SQL and PL/SQL.
• SOA Knowledge: Conceptual knowledge of SOA architecture.

Non-Technical / Soft Skills:

• Team Player: Excellent communication skills and a strong team player.
• Cultural Adaptability: Ability to work with people from different cultures.
• Problem Solving: Natural problem-solving inclination and the ability to decompose complex problems.
• Presentation Skills: High-level presentation and interpersonal skills.
• Market Awareness: Ability to operate in light of market developments and past experiences.

Skills : Java, Spring framework, Spring Boot, ORM, Spring MVC, Security, Caching, DevOps, CI/CD, SQL, PL/SQL.

Responsibilities

• Plan and co-ordinate on the project progress and schedule and ensure timely completion
• Attend project meeting and report on project status
• Prepare project budget and cost estimation
• Co-ordination of hookup and monitor of tools installations schedule
• Manage, control and monitor all project activities such as design, testing and commissioning of project

Competency Requirements

• Diploma or Degree in Electrical/Mechatronic/Mechanical Engineering
• At least 3 years of working experience in the related field
• Familiarity with semi-conductor/construction industry
• Proficient in Microsoft Office
• Knowledge of QA/QC procedure (PQR/WPS) will be an added advantage
• Multi-tasking team player with excellent interpersonal and communications skills
• Attended QEHS related awareness training

Job Descriptions

• Understand the drawings and job specifications; Draft method statements on the assigned tasks and seek approval from supervisor.
• Plan and order for equipment and material required on the tasks; Seek client approvals (as and when required) on time to minimise delays.
• Prepare the ITP (inspection and test plan) documents, job hazard analysis (JHA) and risk assessment report for the assigned tasks in consultation with supervisor.
• Liaise and coordinate with all respective Utilities Agencies.
• Plan and monitor all utility diversion works.
• Coordination with the site team and the various utilities agencies on the management of Utilities, diversions, temporary/permanent supports etc.
• Monitor progress against the program milestones for on-time completion; Monitor production rate and provide feedback to supervisor on resource allocation.
• Check workmanship and quality against specifications in drawings and ITP requirements; Perform other quality tests as required.
• Provide inputs to supervisor to minimise wastage and optimise material/labour costs;
• Salary Range: $4800 - $5000 (Based on Experience)

Job Requirements

• Degree/Diploma in Civil, Mechanical or Electrical Engineering.
• At least 3 years of experience in managing utilities diversion, planning and construction works.
• Independent and able to work with multiple stakeholders.

Roles And Responsibilities:
• Government Commercial Cloud (GCC) experience required.
• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.
• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.
• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.
• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.
• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.
• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.
• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.
• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.
• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.
• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.
• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications
• Bachelor’s or master’s degree in computer science, data engineering, or a related field.
• Minimum 5 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.
• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.
• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.
• Strong knowledge of SQL and NoSQL databases.
• Familiarity with data modeling and schema design.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.

Preferred Skills:
• Experience with big data technologies like Apache Spark and Hadoop on Databricks.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Familiarity with data visualization tools like Tableau or Power BI.
• Understanding of DevOps principles for managing and deploying data pipelines.
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

• Installation, support and troubleshooting of software, hardware, and peripheral device
• Monitoring. Troubleshoot. Windows Laptop/Printer
• IT END USER SUPPORT IS MANDATORY
• Troubleshooting the PC's, LAPTOPS, PRINTERS,
• Responsible for troubleshooting in Operating system Managing and updating Windows patches for Desktops and Laptops.
• Desktop Support through remote access Coordination with clients and customer regarding their problems
• Any other ad-hoc duties assigned / required

Production Engineer

Our client is a MNC chemical manufacturer company. They are currently seeking for Production Engineer.

The role of the Production Engineer includes:

• Responsible for production operation activities to ensure smooth and efficient manufacturing process
• Liaise with cross functional department on effective corrective/preventive actions, including carry out improvement activities such as process optimization, benchmarking, etc through various statistical tools and software.
• Handle audit in accordance to IATF & ISO and OHSAS requirements.

Job Requirement:

• Degree in Mechanical/Manufacturing Engineering or equivalent.
• Good Analytical & Problem solving skills.
• 2 years with relevant experience is an added advantage.
• Self-motivated, resourceful, action-focused and result-oriented team player.
• Knowledge on TS/IATF 16949, OHSAS18001, ISO14001, SPC, FMEA and TPM will be added advantage.
• Willing to work overtime when needed
• Require to put on jumpsuit and protective mask as Personal Protective Equipment whenever it is necessary.

Interested candidates, please send your detailed resume stating Past Employments, including Reasons of Leaving, Last Drawn Salary for the most recent 2 positions (breakdown of basic salary, allowance, bonuses etc), Expected Basic Salary and availability.

WE REGRET TO INFORM THAT ONLY SHORTLISTED CANDIDATES WILL BE NOTIFIED

Manfield Employment Services Pte Ltd (Lic. No: 95C2823)
Posting Personnel: Win Hui
EA Personnel Reg No.: R23115634

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• Competitive Remuneration and Benefit
• Great work environment to learn
• MNC Environment

As an Electrical Engineer, you will be responsible for the following duties:

• Ensuring a safe and healthy work environment for all employees.
• Assisting with clarifying customer requirements before placing orders.
• Designing and detailing electrical schematics for various machine projects, including layout of system components, specification of electrical components, cable routing, and PLC modifications.
• Performing design-related administrative tasks such as attending project design reviews, preparing necessary documentation (e.g., electrical Bill of Materials, electrical drawings, operation manuals), and managing final electrical drawing files.
• Working within project budgets for electrical design.
• Collaborating with project teams to achieve project objectives.
• Taking on the role of lead design engineer for specific project goals.
• Managing and tracking personal workload.
• Completing additional tasks and special projects as assigned.

Requirements

• At least an Associate degree in electrical engineering or a related field is required.
• At least three years of experience in a related field.
• Knowledge of the CNC machining industry.
• Proficiency in computer-aided design software and MS Office
• Willingness to travel
• Understanding of industrial networking protocols
• Experience designing circuits with voltages ranging from 24VDC to 480VDC.

To apply, simply click on the ‘’apply’’ button in the job advertisement or alternatively, you can send in your resume via email:

[email protected]

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

ALLIED SEARCH PTE. LTD.
EA LICENSE : 19C9777

• Conduct feasibility study to develop basic and detailed engineering designs.
• Manage budget and resources to ensure timely project completion.
• Manage project to ensure compliance with legal and safety requirements.
• Motivate team members and develop their skills.
• Oversee workplace safety to ensure work is performed according to workplace safety procedures.
• Minimum 3 years experience in Building Construction works.

1. Assist project manager with day to day on-site monitoring, project implementation and scheduling.

2. To schedule, co-ordinate, implement and manage projects- in part or wholly- to ensure timely work progress, goods or services delivery on schedule, while taking into account the budgeted qualities and cost.

3.Ensuring that work is carried out according to approved plans, regulations and contract specifications.

4. Accountable for the safety and quality of the project.

5.Conduct project progress meetings, as well as reviewing schedules.

6.Manage the project team’s training.

7.Liaising with consultants and sub-contractors.

8.Prepare method statement, proposal, test plan, acceptance plan and timeline schedule in collaboration with the Project Manager as the case may require.

9. Accountable for preparing weekly/ monthly progress reports.

10.Ability to read AUTOCAD / Schematic preferable.

11.Perform ad hoc duties as assign by superiors.

Requirements:

• Bachelor Degree in Civil Engineering or Degree in Project Management.
• Positive attitude, including being self-motivated, responsible, and taking ownership of work.
• Strong interpersonal and communication skills.
• Proficient in written and spoken English.
• Possess class 3 driving license.

5.25 days work week, alternate Saturday.

8.30am to 6pm.

Job Description:

• Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals.
• Solve complex data problems to deliver insights that help the organization achieve its goals.
• Code in Python with tools like Apache Spark to build a multi-cluster data warehouse.
• Interact with other technology teams to define, prioritize, and ensure smooth deployments for other operational components.
• Advise, consult, mentor, and coach other data and analytics professionals on data standards and practices.
• Foster a culture of sharing, reuse, design for scale stability, and operational efficiency of data and analytical solutions.
• Codify best practices for future reuse in the form of accessible, reusable patterns, templates, and code bases to facilitate data capturing and management.
• Strong experience in mapping attributes, data profiling, data cleansing, and technical data quality etc.
• Strong experience in Ansi SQL and in-depth knowledge with structured, semi-structured & unstructured data.
• Must have good knowledge of data lake and working experience of migration projects in cloud with providers like AWS or Microsoft AZURE or GCP.
• Good to have experience in working with No SQL, Spark SQL using AWS Glue, EMR, and columnar data store.
• Good to understand data security features like data masking, data encryption, role based & fine grain access control mechanisms etc.

Qualifications:

• 5+ years of relevant experience in data engineering/analytics space.
• Expertise in SQL and data analysis and strong hands-on expertise with at least one programming language: Python.
• Strong knowledge in one or more of the following big data tools: Hive, Hadoop Impala, Spark, Kafka.
• Strong expertise in ETL, reporting tools, data governance, data warehousing, and hands-on experience.
• Experience developing solutions for cloud computing services and infrastructure.
• Experience developing and maintaining data warehouses in big data solutions.
• Up to date on industry trends within the analytics space from a data acquisition processing, engineering, and management perspective.
• Experience in agile development.
• Strong people skills, specifically in collaboration and teamwork.
• High level of curiosity, creativity, and problem-solving capabilities.