Total 11,615 reservoir engineer job vacancies in Information Technology category in Singapore

JOB SCOPE:

• Design, develop and deliver working software applications to delight customers
• Improve software quality using XP practices such as code review and unit testing
• Adheres to the Software Craftsmanship Manifesto
• Prepare architectural and other technical documents
• Assist on: user stories elaboration, test automation and bug fixes, build and release automation

Requirements:

• Solid experience in any of technologies: Java, NodeJS, Ruby on Rails, .Net , Agile, ReactJs
• Experience with version control systems such as Git, Continuous Integration (Bamboo/TeamCity)
• Experience developing in Mac/Linux environment
• Experience working in agile teams – TDD, Pair programming, Scrum, XP
• Familiar with both Windows and UNIX/Linux servers, Design Patterns, Unit Testing

EA License No: 96C4864

Reg. No.: R24121728

Job Title: Senior Software Engineer – AI & HyperAutomation

Role Overview:

We are seeking a Software Engineer to lead the integration and development of AI technologies within production systems. This role will involve designing, building, and maintaining AI-driven applications, and will report to the Director of Engineering.

Key Responsibilities:

• Software Development: Work on backend and frontend systems using Python, SQL, REST, JavaScript, TypeScript, node.js, and React.
• Code Quality: Write clean, efficient, and maintainable code adhering to software engineering best practices.
• Deployment: Utilize DevSecOps tools for code deployment, versioning, and integrate solutions into cloud environments with CI/CD pipelines.
• AI Projects: Lead the development of enterprise AI projects focusing on scalability and reusability. Transition successful pilot projects into production.
• Integration: Develop and manage integrations with other applications and services.
• Testing: Create and execute unit tests for various scenarios, including positive and negative cases.
• Support: Oversee application releases and provide second-level support as needed.
• Collaboration: Engage with cross-functional teams (product managers, data scientists, engineers) and participate in Agile ceremonies.

Requirements:

• Experience: At least 4 years of hands-on experience in software development with expertise in Python, SQL, REST, JavaScript, TypeScript, node.js, and React.
• Technology Stack: Experience with modern tech stacks including cloud services (AWS, Azure), data pipelines, and SQL/No-SQL databases. Knowledge of graph databases is a plus.
• Application Design: Skilled in designing, architecting, and maintaining scalable applications.
• API Development: Experience in building and consuming web-based APIs.
• CI/CD & Testing: Proficiency in CI/CD environments, test-driven development, and version control systems.
• Collaboration: Excellent communication and teamwork skills for cross-functional collaboration.
• Testing Strategies: Knowledge of unit testing and performance testing.

Preferred Qualifications:

• Agile Methodology: Experience with Agile methodologies.
• AI & Machine Learning: Familiarity with artificial intelligence, machine learning, and data science concepts.
• Generative AI: Knowledge of Generative AI solutions and applications.
• Docker & Cloud: Experience with AWS Cloud and managing Docker images.

Education:

• Qualifications: Degree in quantitative, scientific, or technology disciplines such as Mathematics, Statistics, Computer Science, Data Science, Analytics, Physics, or Bioinformatics.

What We Offer:

• Professional Growth: Opportunity to work on global projects and grow within a dynamic team.
• Flexible Work: Hybrid working model with options for part-time roles.
• Benefits: Pension and health insurance contributions, annual leave, sick days, volunteer hours, and parental leave.
• Additional Perks: Cafeteria benefits, discount programs, up-to-date technology, and various on-site amenities.

Please attach your CV via Linkedin. Thank you.

Registration No: R22106084

EA Licence No: 22S1313

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

• Provide technical guidance to customers regarding pump inquiries.
• Select pumps according to customer specifications.
• Provide support and coordination for Sales Engineers.
• Manage the sales process from quotation to delivery of finished products.
• Handle walk-in customers.
• Collaborate closely with customers to maintain strong business relationships.

Requirements:

• Diploma in Mechanical Engineering or equivalent background.
• Experience in pump industry is added bonus.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

EA License No: 20C0270

EA Personnel No: R22110981

EA Personnel Name: Law Mei Fong

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.

Requirement
- 2 to 3 years experiences in setting up routers or switches
- Familiar with configure ACL in routers and switches
- Familiar with WIFI setup and configuration
- Familiar with setup, configure, support for networking products from Cisco, Meraki, HP etc brands
- Familiar with performing patching to network products
- Familiar with basic security hardening of routers and switches
- Be on routine standby to support 24×7 maintenance support calls.
- A team member player and able to work with other team members

Qualification
- Diploma/Degree Holder in Information Technology, Computing, Cybersecurity
- Possess industry recongised certificates will be bonus

Drop us a email at [email protected] if you are keen to apply.

We regret that only shortlisted candidates will be notified.

JOB SCOPE:

Design, develop and deliver working software applications to delight customers
Improve software quality using XP practices such as code review and unit testing
Adheres to the Software Craftsmanship Manifesto
Prepare architectural and other technical documents
Assist on: user stories elaboration, test automation and bug fixes, build and release automation

Requirements

Solid experience in any of technologies: Java, NodeJS, Ruby on Rails, .Net , Agile, ReactJs
Experience with version control systems such as Git, Continuous Integration (Bamboo/TeamCity)
Experience developing in Mac/Linux environment
Experience working in agile teams – TDD, Pair programming, Scrum, XP
Familiar with both Windows and UNIX/Linux servers, Design Patterns, Unit Testing

1. Data Pipeline Construction

• Design, develop, and maintain data pipelines, ensuring a smooth flow of data from multiple sources to data warehouses or lakes.

• Enable, maintain, and support pipelines to provide unified and reliable data sources.

2. Data Architecture Design

• Responsible for designing and maintaining data architecture.

• Use technologies, databases, and storage solutions to handle data efficiently and securely.

3. ETL Processes

• Perform Extract, Transform, Load (ETL) operations: - Extracting data from various sources - Transforming raw data into a structured format - Loading the processed data into storage systems for analysis

4. Data Quality Assurance

• Implement data cleaning and validation processes to enhance data accuracy and consistency.

• Monitor data quality and optimize performance to ensure reliable and usable data for analysts and data scientists.

5. Scalability and Optimization

• Design systems that can handle large volumes of data,

• Ensure scalability of data infrastructure.

• Improve and optimize data storage and retrieval.

6. Data Governance

• Implement data governance and security measures to ensure compliance

• Create, manage, and implement policies, standards, and documentation

7. Data Analytics & Reporting

• Project Management of Data Analytics deliverables

• Create, publish, and admin Power BI reports and dashboards

• Delegate, Manage, and Coordinate with the extended Data Analytics team

Mandatory Skills

1. Programming

• Python

• SQL

• ETL

2. Database Management

• MS SQL Server Environment

• Data integration tools such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics

3. Power BI Expertise:

• DAX, Power Query, and creating advanced data visualizations.

• Experience in Data Modelling techniques 4. Azure Cloud Environment

• Proficiency in Azure cloud platform, including

• Azure SQL Database, Azure Data Lake Storage

• Azure Analysis Services

• Azure Data Studio

5. Useful experiences

• Machine Learning

• Artificial Intelligence

6. Required Soft Skills

• Problem-solving

• Collaboration

• Communication

Qualifications and Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

• Strong programming skills in languages such as Python, Java, or Scala

• Expertise in SQL and experience with both relational and NoSQL databases

• Proficiency in data modeling and database management

• Experience with big data technologies like Hadoop, Spark, and Kafka

• Strong experience in Azure cloud platforms

• Knowledge of data warehousing concepts and technologies

• Experience with ETL tools and processes

• Strong analytical and problem-solving skills

• Excellent communication and collaboration abilities

• 5+ years of relevant experience in data engineering, data analytics or must have been in a similar role

Preferred Skills

• Azure Data Engineer certification

• Azure Data Analytics and PowerBI certifications

• Experience with AI/ML will be advantageous

• Strong experience in data visualization tools and techniques

• Familiarity with agile delivery methodologies

Interested applicants please send your resume to [email protected]

Venessa Goh Wee Ni

R24124686

Recruit Express Pte Ltd

EA License No: 99C4599

RCB No.: 199601303W

Data Engineer

• Design, develop, and maintain scalable data pipelines using Hadoop, Apache Spark, and related Big Data technologies.
• Implement ETL (Extract, Transform, Load) processes to manage large-scale data from various sources.
• Collaborate with cross-functional teams to define data architecture, data models, and pipelines that support banking applications and analytics.
• Develop and optimize complex SQL queries for data extraction, aggregation, and transformation.
• Work with business stakeholders to understand banking requirements and translate them into technical specifications for data solutions.
• Implement data quality controls and performance optimization techniques for high-volume data systems.
• Ensure adherence to data governance, security, and compliance guidelines in the banking industry.
• Continuously monitor and improve the performance of existing data solutions, including troubleshooting and debugging issues.
• Contribute to the integration of new tools and technologies in the data ecosystem to support ongoing projects and innovation.
• Experience in data engineering, with a focus on Hadoop and Apache Spark.

Key skills

• Hadoop, Spark, SQL, ETL, Kafka, Hive, HBase
• Strong experience in SQL, including complex queries, optimization, and performance tuning.
• Experience in the banking or financial services industry is highly preferred.
• Proficiency in data warehousing concepts and hands-on experience with ETL tools.
• Familiarity with distributed systems and large-scale data processing.
• Solid experience with Linux/Unix scripting and working knowledge of shell scripting.
• Experience with cloud platforms such as AWS, Azure, or GCP is a plus.
• Knowledge of Kafka, Hive, HBase, or other Big Data tools is an advantage.
• Excellent problem-solving and debugging skills.

Interested candidates, please send your CVs on [email protected]

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

Job Duties

· Be responsible for the software development life cycle: write development code, unit test, create and execute integration test

· Participate in design reviews with peers and stakeholders

· Document user guides, technical specifications

· Conduct code review

· Work closely with development, deployment, integration teams and project/program managers in an Agile development environment and be part of a Scrum team

· Set up and maintain CI/CD Gitlab pipeline.

Job Requirements

· Strong hands-on experience: C# at least .Net Core, Entity Framework, WPF, WCF; application server such as IIS; and Oracle DB

· Proficiency in software engineering best practices

· Strong knowledge of GIT version control and branching models

· Had hands-on in CI/CD pipeline with GitLab

· Familiar with Kubernetes/Docker and microservices architectures

· Good understanding of security best practices and their application

Career Level

Mid-Level

Education

Bachelor’s degree in computer science/engineering discipline. Those with software development or validation experiences are also welcome.

Experience

At least 5 years of hands-on experience in web and WPF development, Windows/Web Services, and Desktop/Distributed Applications.

Job Summary

We are seeking an experienced Application Engineer to join our team. In this role, you will be responsible for providing technical support and expertise for MathWorks products, and to assist customers to meet their technical and business needs.

As an Application Engineer, you will be part of the collaborative field-team to support pre-sales and post-sales activities towards the primary objectives of improving the awareness and adoption of MathWorks products. You will be an expert in your products and the applications that your products support. You will support product queries, demonstrations, and troubleshooting with customers and prospects. You will also conduct webinars, workshops, and external trainings.

Using your technical expertise as well as your excellent interpersonal, communication, and presentation skills, you will engage customers and prospects in seminars, conference calls, meetings, and through product evaluations to develop a shared vision for success. This role is a permanent full-time position, based in Singapore.

Job Responsibilities

• Provide technical support for MathWorks products, including MATLAB, Simulink, and related toolboxes.
• Work with prospective customers to understand their workflow and use this knowledge to recommend effective solutions.
• Develop demonstrations including programs, application examples, and simulations to address the needs of our customers.
• Collaborate with sales teams to develop account and territory level technical sales strategies.
• Prepare and deliver compelling presentations to address target market opportunities at webinars, seminars, trainings, and other public events.
• Travel on-demand to customer presentations, planning discussions, and on-site technical meetings, workshops.
• Stay current with new product releases and developments in the industry.

Job Requirements

• Bachelor's degree or higher in Engineering or Computer Science
• A minimum of three years of professional working experience as Engineer or Researcher
• Experience with programming languages such as MATLAB, Simulink, C/C+ +, Python or similar
• Experience in working with electronic hardware such as microcontroller and DSP
• Experience in developing and delivering technical demonstrations on the use of mathematical simulation technologies in in control system design, the simulation of physical systems, machine learning algorithm development, or signal processing and communications.
• Strong desire and ability to work with customers and turn their needs into actionable plans.
• Strong communication and presentation skills.
• Strong problem-solving and analytical skills to identify and troubleshoot issues.
• Highly motivated toward working directly with customers.
• Able to travel regionally.
• Able to work independently and as part of a team.
• Flexibility to work on multiple projects with ability to multi-task.

Requirement
- 3 to 4 years experiences in setting up and support Windows AD, GPO, SCCM, WSUS, RDP, 2FA etc environment
- Familiar with patch management, Windows Server policies configuration and setting
- Familiar with setup, configure, support for End point protection products
- Familiar with setup, configure, support for Backup solution
- Perform Windows OS security hardening on machines accordingly to industry guideline like CIS
- Be on routine standby to support 24×7 maintenance support calls.
- A team member player and able to work with other team members

Qualification
- Diploma/Degree Holder in Information Technology, Computing, Cybersecurity
- Possess industry recongised certificates will be bonus

Drop us a email at [email protected] if you are keen to apply.

We regret that only shortlisted candidates will be notified.

Job Description & Requirements

Responsibilities:

• Develop software solutions by studying information needs; conferring with users; studying systems flow, data usage and work processes; investigating problem areas; following the software development lifecycle.
• Determine operational feasibility by evaluating analysis, problem definition, requirements, solution development and proposed solutions.
• Document and demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, code comments and clear code.
• Prepare and install solutions by determining and designing system specifications, standards and programming.
• Improve operations by conducting systems analysis; recommending changes in policies and procedures.
• Update job knowledge by studying state-of-the-art development tools, programming techniques and computing equipment; participating in educational opportunities; reading professional publications; maintaining personal networks; participating in professional organizations.
• Protect operations by keeping information confidential.
• Provide information by collecting, analyzing and summarizing development and service issues.
• Accomplish engineering and organization mission by completing related results as needed.
• Support and develop software engineers by providing advice, coaching and educational opportunities.
• First and foremost, developing software our users need.
• Collaborate with team to brainstorm and create new products.
• Grow engineering teams by interviewing, recruiting and hiring.
• Make informed decisions quickly and taking ownership of services and applications at scale.
• Work collaboratively with others to achieve goals.
• Be a persistent, creative problem ­solver.
• Remain cool and effective in a crisis.
• Stay on the leading edge of development practices
• Passionate about great technologies, especially open source
• Understand business needs and know how to create the tools to manage them.

Requirements

• Bachelor's degree in computer science or related field.
• Minimum 3 years of programming experience.
• Broad experience designing, programming, and implementing large information systems.
• Ability to provide in-depth evaluation and analysis of unique complex technological issues.
• Excellent analytical and problem-solving skills.
• Excellent organization and time management skills.
• Excellent written and verbal communication skills.
• Demonstrated ability to lead others.
• Ability to exercise discretion and independent judgment in the performance of duties.

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.

JOB SCOPE:

Design, develop and deliver working software applications to delight customers
Improve software quality using XP practices such as code review and unit testing
Adheres to the Software Craftsmanship Manifesto
Prepare architectural and other technical documents
Assist on: user stories elaboration, test automation and bug fixes, build and release automation

Requirements

Solid experience in any of technologies: Java, NodeJS, Ruby on Rails, .Net , Agile, ReactJs
Experience with version control systems such as Git, Continuous Integration (Bamboo/TeamCity)
Experience developing in Mac/Linux environment
Experience working in agile teams – TDD, Pair programming, Scrum, XP
Familiar with both Windows and UNIX/Linux servers, Design Patterns, Unit Testing

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.

Key Responsibilities:

• Develop and enhance network design to ensure reliability, scalability, and security. Implement new network solutions and improve the resilience of the current environment.
• Serve as the highest escalation point for complex network issues. Utilize expert-level troubleshooting skills to identify and resolve issues efficiently.
• Monitor network performance, identify bottlenecks, and implement solutions to optimize traffic flows and ensure optimal performance across all network components.
• Implement and manage network security tools and practices, including firewalls, VPNs, intrusion detection systems, and other security protocols to protect the network from threats.
• Develop and maintain network disaster recovery plans, including backup and restore procedures to ensure business continuity in the event of a network failure.
• Liaise with vendors, service providers, and external consultants to ensure that services meet the required standards and to troubleshoot complex problems.
• Create and maintain comprehensive documentation for network architecture, configurations, processes, and service records. Ensure network compliance with industry standards and regulatory requirements.
• Provide guidance and mentorship to junior network engineers and support staff, promoting a culture of learning and continuous improvement within the team.

Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 5-8 years of experience in Network Engineering Architecture.
• Professional certifications such as CCNP, CCIE, JNCIP, JNCIE, or equivalent are highly desirable.
• Extensive experience in network engineering, including hands-on experience with high-level troubleshooting and network architecture design.
• In-depth understanding of networking protocols (e.g., BGP, OSPF, EIGRP, MPLS) and network security practices.
• Proficiency with network diagnostic, monitoring, and analysis tools.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work independently as well as part of a team.

JOB SCOPE:

Design, develop and deliver working software applications to delight customers
Improve software quality using XP practices such as code review and unit testing
Adheres to the Software Craftsmanship Manifesto
Prepare architectural and other technical documents
Assist on: user stories elaboration, test automation and bug fixes, build and release automation

Requirements:
Solid experience in any of technologies: Java, NodeJS, Ruby on Rails, .Net , Agile, ReactJs
Experience with version control systems such as Git, Continuous Integration (Bamboo/TeamCity)
Experience developing in Mac/Linux environment
Experience working in agile teams – TDD, Pair programming, Scrum, XP
Familiar with both Windows and UNIX/Linux servers, Design Patterns, Unit Testing

EA License No: 96C4864

Reg. No.: R24121728

• Conduct an evaluation study on a sample product to assess LED lighting options, conduct feasibility tests for machine vision components, and evaluate image processing capabilities, either at our in-house testing lab or on-site with customers.
• Provide technical consultation on machine vision components, including lighting, lenses, cameras, and controllers, in response to inquiries.
• Collaborate with vendors or integrators of machine vision components on technical issues.
• Organize and conduct lighting seminars and training sessions for new or existing customers.
• Oversee the management of testing lab equipment and prepare demonstration loaners for customers.
• Provide technical support and project advice to the sales team.
• Inspect returned loaners for physical condition and basic functionality.
• Carry out product failure analyses and generate reports.
• Possess at least Diploma in Engineering (Electrical / Electronics / Mechanical) or equivalent.
• Knowledge in machine vision or automation will be an added advantage.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

EA License No: 20C0270

EA Personnel No: R22110981

EA Personnel Name: Law Mei Fong

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 Description & Requirements

Mandatory Skills

Windows 2016 Server

Windows Server administration

Installing, configuring, and maintaining Windows Servers

Expert knowledge of Windows troubleshooting

Preferably certified in Microsoft Certified Systems Engineer (MCSE), Microsoft Certified Systems Administrator (MCSA), ITIL or equivalent.

Preferred Skills

Windows Server 2019, Red Hat Enterprise Linux (RHEL)

Working location: Joo Koon.

Working hours : Mon to Fri, 8.30am to 5.30pm

Responsibilities:

• Lead and direct cross-functional team in program execution
• Ensure proper qualification of new projects and successful implementation of programs in the production/manufacturing unit
• Track and monitor project progress to ensure project schedules and cost objectives are met
• Actively follow on sales leads and take lead in business development
• Serve as primary technical contact with customers on strategic or politically sensitive issues
• Generating quotation for molding projects involving new toolings
• Work with Manufacturing on developing and establishing workflows and production concepts (to optimize production efficiency &meet customers’ requirements)
• Identify and specify engineering requirements for new projects
• Initiate equipment procurement activities for new projects when needed (with Purchasing)
• Plan and execute tooling qualification activities with supporting groups to achieve successful project execution
• Take reasonable care of workplace health and safety; abide by all EHS policies and procedures; cooperate with Management and colleagues in EHS initiatives

Requirements:

• Degree in Mechanical Engineering
• Min. 3 to 6 years of relevant experience. Entry level candidates are welcome to apply.
• Experience in managing healthcare products
• Good knowledge of project management & production process
• IT Skills (MS Office)
• Independent, good initiative and able to multi-task in fast paced environment

To Apply, kindly click on the "APPLY NOW" button and job details. We regret that only shortlisted candidates will be notified.

Daniel Lim | Registration Number: R24124455 | AlwaysHired Pte Ltd

EA Licence No: 24C2293

Morgan McKinley is seeking a Data Engineer for a 6 month contract assignment with a possibility to extend or to go perm!

Responsibilities:

• Collaborate across multiple workstreams to gather and support data requirements for reports and dashboards.
• Analyze and perform data profiling to identify data patterns and discrepancies, adhering to Data Quality and Data Management processes.
• Follow best practices in designing and developing end-to-end data pipelines, including data transformation, ingestion, processing, and surfacing of data for large-scale applications.
• Utilize Azure technology stack to develop and automate data pipelines with Databricks and Data Factory.
• Translate business requirements into technical specifications for system analysts and technical teams to facilitate project design and delivery.
• Conduct source data analysis and perform data ingestion in both batch and real-time patterns using various methods such as file transfers, APIs, and data streaming (Kafka and Spark Streaming).
• Develop ETL processes with Spark to transform and standardize data according to business needs.
• Create data exports, data APIs, and data visualizations using tools like Power BI, Tableau, or other visualization platforms.

Qualifications:

• 3 to 5 years of experience in data engineering, specifically with Databricks and Python.
• Strong proficiency in Python and Databricks is essential.
• Experience with AWS cloud technologies is preferred.
• Familiarity with data processing, ETL development, and data visualization tools.
• Excellent problem-solving skills and attention to detail.
• Strong communication skills to collaborate with technical and non-technical teams.

Interested candidates may apply through the application system or send it to [email protected]. Shortlisted candidates will be notified.

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Morgan McKinley Pte Ltd
Koh Boon Sien
EA Licence No: 11C5502
EA Registration No. R1110345

• Well Established Company
• Excellent Welfare and Benefits + Career progression
• Basic $4000 - $6500 + AWS + VB
• Working location: North-East
• Working Hours: Monday to Friday (8:30am to 5:30pm)
• Must have C / C++

Job Responsibilities:

• Responsible for software prototyping, requirement analysis, design, development, test, system integration and site integration for developed applications
• Design, configuration, test, integration and maintenance of Automation & SCADA Systems and applications
• Provide technical, deployment and commissioning support to Project Teams and Customers
• Maintain and enhance software applications in both functionality
• Provide software support via on-site troubleshooting, testing and tuning of applications, software, network, protocols and communication issues

Requirements:

• Diploma / Degree in Electronics Engineering or Computer Science or equivalent
• Experience with two or more language such as C/C++, C#, Python

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

NG DIAUM YEE (R2198031)

EA Recruitment Pte Ltd

EA License No: 21C0492