• Responsibilities include, but not limited to:
• Strong desire to grow a career as a Data Scientist in highly automated industrial manufacturing doing analysis and machine learning on terabytes and petabytes of diverse datasets.
  • Experience in the areas: statistical modeling, feature extraction and analysis, supervised/unsupervised/semi-supervised learning required. Exposure to the semiconductor industry is required
  • Ability to extract data from different databases via SQL and other query languages and applying data cleansing, outlier identification, and missing data techniques.
  • Strong software development skills.
  • Strong verbal and written communication skills.
  • Experience with or desire to learn:
  • Machine learning and other advanced analytical methods
  • Fluency in Python and/or R
  • pySpark and/or SparkR and/or SparklyR
  • Hadoop (Hive, Spark, HBase)
  • Teradata and/or another SQL databases
  • Tensorflow, and/or other statistical software including scripting capability for automating analyses
  • SSIS, ETL
  • Javascript, AngularJS 2.0, Tableau
  • Experience working with time-series data, images, semi-supervised learning, and data with frequently changing distributions
  • Experience working with Manufacturing Execution Systems (MES
  • Existing papers from CVPR, NIPS, ICML, KDD, and other key conferences are plus, but this is not a research position

Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.

The Amazon Web Services Professional Services (AWS ProServe) ASEAN organization is looking for an experienced and motivated business-oriented Data practitioner who possess a unique balance of business knowledge and Technology depth in Data and Analytics with hands on keyboard delivery implementation experience in the cloud. AWS ProServe engage in a wide variety of projects for customers and partners, providing collective AWS customer experience, best practices, and technical skills for the Customer. Our team collaborates across the entire AWS organization to bring access to product, service, and training teams, to deliver the right solutions and drive feature innovations for our customers across all industries. This role will focus on advising customers looking to enhance their business or operational outcomes through the use of Data and Analytics on AWS. In this role you will advise on architecture best practices, lead projects, manage customers stakeholders and conduct customer workshops and implement complex Data workloads with our customers and partners.

Key job responsibilities

-Advise customer’s technologists and business leads; help them to explore the art of the possible with Data and Analytics, and to develop scalable Data solutions on AWS to deliver business value in the most effective way. -Discuss complex industry-specific business concepts with customer technologists and business leads especially in FSI, Telco and Retail. -Drive and deliver large, complex customer engagements across pre-sales and delivery from ideation, through architecture design and scoping, all the way to development, testing and roll out. -Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of Data and Analytics on AWS. -Provide technical leadership and excellence on customer engagements to ensure alignment on scope, deliverables, timeline and customer expected outcomes.

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic qualifications

- Bachelor's Degree or equivalent experience in STEM.

- 5+ years of experience with direct customer (internal or external) interaction with responsibilities in Data and Analytics solutions design, architecture and implementation (Data Lake, Data Warehouse, Lake House, Data Mesh, Data as a Product and Data Governance including Data quality and controls, etc..).

- Ability to think strategically about business, solutions and technical challenges.

- A minimum of 3 years working experience in ASEAN region, and ability to travel to customer locations in ASEAN as needed for pre-sales and delivery activities.

Preferred qualifications

- 3+ years Technical experience preferred, knowledge of Data Technology stack of AWS and integration with Machine Learning and Generative AI - Industry experience with key vertical markets such as Financial Sector, Telecom, and Retail.

- AWS Experience and Certifications, including implementation of cloud-based Data and Analytics solutions.

- Ability to understand and educate customers on cloud computing technologies and workload transition challenges.

- Advanced degree desired (e.g., MBA, MS)

5 days, 9am-6pm, permanent, Eunos

Our client

Data Centre Builder

Job Scope

· To Perform onsite maintenance and servicing of Computer Room Air Conditioning/HVAC

·

· To troubleshoot, repair, service of computer room aircon /HVAC

· To Install, commissioning and testing of aircon System.

REQUIREMENT

· Min Nitec Diploma in Aircon/ Mechanical Engineering

· 2 years hands on experience to troubleshoot and repair of Computer Room aircon

· Able to perform rotating 24/7 on call standby (Extra allowance will be given) on 1st half or 2nd half of the month

· Singapore Class 2 or Class 3 licence.

Work location :Eunos

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

Roles & Responsibilities

• Supporting operation in the assigned process unit in DCS panel
• Handling day-to-day duties and plant troubleshooting
• Conducting field logging, routine sampling, and plant testing work
• Ensuring equipment complying to SOP and working instructions
• Management of the team, including all aspects of people and performance management.
• Drive and work with support teams to resolve service disruptions and restore services as rapidly as possible.
• Ensure timely escalation and track incident life cycle till resolution.
• Document and update NOC operation processes and troubleshooting guides.
• Identify areas for process and efficiency improvements within NOC.
• Participate and contribute product or enhancement projects.
• Other general duties

Requirements:

• At least 3 years’ working experience in IT Helpdesk / NOC environment (Telco Environment)
• At least 2 years’ management experience to lead a support team
• Strong Communication Skills, with good email and verbal etiquette for compilation information / creation and dissemination of SOPs
• Familiar with Layer 2 and Layer 3 Technologies, eg DWDM, BGP, to aid in fault identification and escalation.
• Able to work independently and as a good team player.
• Good deductive reasoning and problem-solving ability.
• Excellent verbal and written communication and presentation skills.

Position Overview

We are seeking a highly skilled and experienced Data Engineering Manager to lead and oversee the development, implementation, and optimization of data engineering solutions in the financial services industry. The ideal candidate will be a strategic thinker with strong technical expertise, leadership capabilities, and a passion for driving data-driven decision-making in a dynamic environment.

Key Responsibilities

• Team Leadership and DevelopmentLead, mentor, and manage a team of data engineers to design, build, and maintain scalable and robust data pipelines.
  Foster a culture of innovation, collaboration, and continuous learning within the team.
  
• Data Infrastructure and ArchitectureDesign and implement end-to-end data architectures, including data acquisition, transformation, storage, and distribution.
  Collaborate with data architects to ensure alignment with enterprise-wide data strategies and compliance requirements.
  Optimize existing data systems and build new data models that support financial analytics, reporting, and machine learning initiatives.
  
• Collaboration and Stakeholder ManagementPartner with cross-functional teams, including business analysts, data scientists, and IT teams, to deliver data solutions aligned with business goals.
  Work closely with compliance and risk management teams to ensure adherence to industry regulations (e.g., GDPR, CCPA, or PCI-DSS).
  
• Innovation and Best PracticesStay updated on the latest trends and technologies in data engineering and apply them to enhance the organization’s capabilities.
  Establish and promote best practices for data engineering, including version control, testing, and documentation.
  
• Project Management and DeliveryOversee multiple data engineering projects, ensuring timely delivery and quality assurance.
  Manage project budgets, timelines, and resources efficiently.
  

Qualifications and Skills

Educational Background

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field.

Experience

• 7+ years of experience in data engineering, with at least 3 years in a leadership or management role.
• Proven experience in the financial services industry, with a strong understanding of data requirements and challenges specific to the sector.

Technical Skills

• Expertise in designing and implementing data pipelines using tools such as Apache Spark, Kafka, Airflow, or similar.
• Strong proficiency in SQL, Python, Java, or Scala for data processing.
• Experience with cloud platforms like AWS, Azure, or Google Cloud, including data-related services (e.g., Redshift, BigQuery, Databricks).
• Solid understanding of ETL/ELT processes, data warehousing, and big data technologies.
• Familiarity with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, Jenkins).

Soft Skills

• Strong leadership and team management capabilities.
• Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
• Problem-solving mindset with a focus on delivering practical and scalable solutions.

Preferred Qualifications

• Experience with financial data, risk modeling, or compliance-related data engineering.
• Knowledge of data governance frameworks and data quality best practices.
• Certifications in cloud technologies (AWS Certified Data Analytics, Azure Data Engineer, etc.).

hands on in databricks pyspark coding, workflow orchestration, unity catalog.

Prior experience of migration from hadoop to databricks would be preferred.Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate

• Business Requirement Analysis
• Business Process and System Understanding

Effective Communication with both business and technical users

Context:

• Data Solutions for Capital Markets IT (CMI) division which manages information systems for capital markets activities which includes Front Office (FO) booking platforms, Risk Management (RM) control and regulatory reporting systems, financial product and contract valuation systems, and much more.

Job Description:

• Contribute to IT initiatives for Antaes Asia clients.
• Delivery of comprehensive business analysis to provide solutions for business needs.
• Work with the project team including product owner, senior developers, architects, BA’s to deliver business requirements and improve business processes and systems.
• Work closely with stakeholders to define requirement and various artifacts around application development or enhancement.
• Specification of business rules for regulatory reporting, business operations and transformations.
• Functional design and testing of solutions.
• Maintenance and promotion of best practices around the data dictionary of the bank.
• Interaction with developers to define implementation specs
• Interaction with other IT teams to explain and communicate on Data services
• Assisting with the daily operations through Scrum, Jira and Kanban, techniques.
• Contribute to the promotion of Antaes services on top of assistance provided to clients.

Job Requirements:

• At least Bachelor’s Degree in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Studies) or related Finance fields.
• At least 2 years of relevant experience (Data Solutions)
• Strong communication to bring consensus on requirements.
• Functional knowledge of financial products, capital market processes & regulatory reporting.
• Knowledge on the MIFID2/SFTR/EMIR / any APAC transaction regulatory reporting principles is desirable.
• Strong problem-solving skills with ability to think out of box.
• Excellent communications and proven documentation capabilities.
• Skilled in Data analysis using database queries (SQL/Oracle/Sybase), TSQL.

Responsibilities

• The candidate needs to deeply understand customers' needs and pain points regarding Big Data products and solutions and design overall Big Data product solutions tailored to customer business scenarios and technical requirements.
• Capable of recommending the core advantages and capabilities of Tencent Cloud's Big Data products and solutions to customers, overcoming obstacles to migrating customer data to the cloud, supporting the implementation of Big Data product solutions in the cloud, and solidifying Big Data product solutions.
• Thoroughly understand customers' technical issues and requirements regarding Big Data products, act as a bridge within the Big Data product team, and collaborate efficiently with industry, research and development, pre-sales, and after-sales teams to effectively solve customer problems.
• Extract core customer requirements for Big Data products and drive continuous optimization and enhancement of product capabilities.

Requirements

• Bachelor's degree or above in computer science, communication, or related fields, with over five years of experience in Big Data projects. Experience in cloud computing and Big Data development is preferred.
• Familiar with the open-source Hadoop ecosystem, knowledgeable about various Big Data component architectures (including Spark, Flink, Elasticsearch, etc.), and familiar with the characteristics and issues of these components in various Big Data scenarios.
• Familiar with the characteristics of mainstream cloud computing Big Data products, especially AWS, Azure, and GCP's Big Data products. Experience as a cloud vendor Big Data architect is preferred.
• Strong communication skills, clear, logical thinking, proactive and responsible work attitude, positive and open-minded approach to work, and good teamwork abilities.
• Proficient in Chinese and English, with strong written and spoken proficiency for daily customer communication and support.

Permanent, 5days, Paya Lebar

Our client

MNC in air conditioning and humidification system solution serving high tech industry.

Responsibilities:

· To Conduct assessments of hvac designs to ensure that they meet the required specifications and standards within allotted timeline.

· To verify and prove that hvac systems in data centre build and function according to the requirement.

· To execute, lead n manages the commissioning process across all projects, from start-up, designing, construction, acceptance, functional performance and systems testing to operational turnover.

· Management of 3rd party commissioning agents, supplier, contractor, client to resolve any issues on site

· To perform project closeout and handover

· To produce Commissioning Report for each project.

Requirements:

· Diploma in Mechanical Engineer or related disciplines.

· 3 years’ experience in hvac data centre of commissioning management or hvac data centre design management

· Proficient in data centre safety and industry standards

· 3 years’ experience in physical M&E equipment in data centre (especially hvac0

· Speaks and write 2 languages.

Please email your resume ( in word document )to [email protected].

We regret only shortlisted candidate will be notified.

We are partnering with a prestigious energy and infrastructure firm to seek a Senior Account Manager - Data Centre in Singapore. This is an exceptional opportunity for a seasoned sales professional with a proven track record in the data centre industry, ideally as a vendor.

Seniority range: Senior Executive - Senior Manager level.

Responsibilities:

• Forge and nurture strong relationships with hyperscalers and colocation clients.
• Develop and implement strategic sales plans to achieve ambitious sales targets.
• Deliver innovative energy and low carbon solutions to data center end-users.
• Manage all phases of the contract lifecycle, from initial drafting and thorough review to strategic negotiation and final execution.
• Analyze market trends, client feedback, and the competitive landscape to guide strategic decisions.

Requirements:

• Bachelor's Degree in Engineering, Business, or a related field.
• Over 8 years of sales experience as a vendor to hyperscalers and colocation data centers.
• In-depth knowledge of data center infrastructure, power, or utilities industry.
• Proven sales success within Singapore; regional experience is a plus.

If you are interested, please apply with your latest CV. Only shortlisted candidates will be contacted.

WHO WE ARE

Goldman Sachs is a leading global investment banking, securities and investment management firm that provides a wide range of services worldwide to a substantial and diversified client base that includes corporations, financial institutions, governments and high net-worth individuals.

Founded in 1869, it is one of the oldest and largest investment banking firms. The firm is headquartered in New York and maintains offices in London, Bangalore, Frankfurt, Tokyo, Hong Kong and other major financial centers around the world.

We are committed to growing our distinctive Culture and holding to our core values which always place our client's interests first. These values are reflected in our Business Principles, which emphasize integrity, commitment to excellence, innovation and teamwork.

UNIQUE OPPORTUNITY

We are building out our Singapore Data Engineering team, this is a unique opportunity to be part of a global Tier 1 Investment Bank. You will be a part of industry leading community spanning New York, Dallas, Sydney and Bangalore.

TEAM OVERVIEW

Market Data provides critical input for all trading decisions that take place at Goldman Sachs. The Market Data Engineering team is responsible for the consumption and timely, accurate distribution of all real-time and historical data provided by global stock exchanges, brokers and data vendors including Bloomberg and LSEG (Refinitiv).

Our core service provides the firm with high volume of real-time streaming data that is globally accessible. It has high availability, is highly scalable with single digit millisecond latency SLAs for the most sensitive clients. This is engineered with a ticker plant that consists of hundreds of nodes, thousands of application instances, thousands of consumers, and updates peaks of millions of messages per second.

We are a dynamic, entrepreneurial team with a passion for technology. We look for engineers, with a growth mindset who are driven to automate and improve. Essential Skills include solid Network and OS (Linux) fundamentals, SDLC experience (e.g. scripting, coding, git, svn) and the role would be a good fit for someone who feels they would thrive in a fast-paced, changing environment.

HOW WILL YOU FULFILL YOUR POTENTIAL

• Work with open-source, vendor and internally built software where appropriate.
• Design, engineer, deploy, troubleshoot, patch and fix software and infrastructure while innovating on core platform design and architecture.
• Engage with global team to establish and evolve best practice for operational excellence including availability, scalability, reliability, resiliency and performance.
• Solve problems in order of business value and understand that technical and business perfection are often competing goals.
• Engage with vendors, exchanges and internal businesses on impact and delivery of upcoming changes.
• Gather and analyze metrics from both infrastructure and applications to assist in performance tuning and fault finding.
• Positively contribute to continuous technical development of the team, including technical engineering documentation.
• Deliver complex, business critical infrastructure projects.

BASIC QUALIFICATIONS

• 3+ years of experience as DevOps Engineer, SRE, System Admin or equivalent role, with a desire to learn more.
• Ability to code or script (e.g. bash/python/go) using an SLDC environment (e.g. gitlab CI/CD).
• Familiarity with Infrastructure as Code processes and tooling.
• Strong understanding of Network and OS Linux fundamentals.
• An understanding of the operational concerns in a demanding environment; ideally, but not necessarily, capital markets.
• Resilient under pressure, have a mind-set of continuous improvement and desire to provide excellent service.
• Proactive approach to spotting problems, areas for improvement, performance bottlenecks, etc.
• Live service monitoring, logging, intelligent alerting, self-healing (network, server and application).
• Maintain live services by measuring and monitoring availability, latency and overall system health.
• Ability to adapt and be open-minded, without skimping on our core values and standards.
• Driven to eliminate toil by designing/adopting better tools and automation techniques.

PREFERRED QUALIFICATIONS

• Financial markets/ trading business knowledge.
• Knowledge of market data products eg. Refinitiv (TREP), Exegy, Activ Financial, BPIPE, ITRS.
• Experience with large scale/ high frequency/low latency distributed applications.
• Experience or knowledge of containerization and cloud deploy (e.g. in AWS or GCP).

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2024. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

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

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

You will:

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

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

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

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

Qualifications

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

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

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

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

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

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

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

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

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Process the day-to-day operations to:

• support document management, data maintenance
• meet agreed SLA, and Staff Efficiency & Productivity targets

Responsibilities

BAU

• perform document and data extraction
• prepare letter/email draft for sign off
• maintain registers
• liaise and follow up with business units

Administration

• ensure the smooth and efficient day-to-day operations
• perform general clerical functions (including data maintenance, filing documents)

Requirements

• a diploma in any field
• banking experience in similar capacity preferred
• AML knowledge is advantageous
• independent, able to work with minimum supervision
• detailed and meticulous

Responsibilities:

• Conduct thorough data analysis and implement data-driven solutions to support customer issue troubleshooting, utilizing statistical modelling and machine learning techniques to identify root causes and provide actionable insights for resolution
• Partner with field engineering teams to analyse data from plasma etching systems and provide timely, meaningful and accurate analysis results to support data-driven improvement
• Communicate effectively with both customers and internal teams, present complex data analysis findings or results to stakeholders in a concise, effective and understandable manner
• Develop advance statistical and machine learning algorithms to extract insights from large and complex data sets, and work with internal engineering team to evaluate the effectiveness of the algorithms
• Collaborate with global data engineering teams to share best practices and work on cross-functional projects that require data science expertise
• Manage and maintain the internal analytics solutions, supporting continuous development and implementation, and ensuring that data integrity and accuracy are always maintained
• Develop and conduct training sessions for local engineers on data analytics skills such as JMP and KNIME
• Other duties as assigned

Requirements:

• Bachelor’s or Master’s degree in Microelectronics, Data Science, or a related discipline.
• At least 3 years of experience in the semiconductor industry, including manufacturing equipment, fabrication facilities, semiconductor components, or related fields.
• Demonstrated experience as a Data Scientist within the semiconductor industry, with specific expertise in plasma dry etch processes.
• Expertise in developing and deploying algorithms for process optimization and problem-solving.
• Strong understanding of data analytics, statistical methodologies, machine learning techniques, and predictive modeling.
• Proficient in data science tools and programming languages (e.g., Python, JSL, R) for data processing, visualization, and analysis.
• Strong communication skills, with the ability to collaborate effectively in a team setting and build positive relationships with customers.
• Detail-oriented, organized, and resourceful team player.
• Self-motivated and capable of working independently with minimal supervision.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24994

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.

Job Scope:

• Design and develop an extract, transform, load (ETL) ingestion & transformation using Azure Data Bricks (Pyspark - Notebooks) & Azure Data Factory (ADF).
• Design and implement a data storage solution using Azure Data Lake.
• Migrate on-prem SQL data warehouse to Azure Synapse (Azure SQL DW).
• Engage and collaborate with customers to understand business requirements and translate them into detailed technical specifications.
• Involve in data modeling and designing the solution for entire Business Intelligence Warehouse.

Job Qualifications:

• Degree in Computer Science or equivalent.
• Solutioning and hands-on experience in Azure Synapse, Azure Data Factory or similar toolset.
• Basic knowledge of DB2, MSSQL, cloud infrastructure and security.
• Experience in troubleshooting and resolving data migration issues.
• Experience in managing data cleansing activities, analysis, tracking, and stakeholder management.
• Experience in integrating data from multiple sources to produce requested or required data elements.
• Demonstrated professional experience in data mining, analysis and modeling of large-scale complex data sets.
• Exceptional written and verbal communication and presentation skills.

Interested candidates can click apply for more information.

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

We respect your privacy and all communication will be treated with confidentiality. If you wish to know more about this position or explore other roles, please prepare your updated profile and get in touch with our consultants.

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by Manpower for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012.

Rallonza Bernice Mae Nocum | EA License No. 02C3423 Personnel | Registration No. R1442141

You will be working as data engineer to carry out analysis , development of complex datawarehouse solution

Job Responsibilities:

• Analysis of user requirements and preparing specifications

• Performing data analysis and data mapping

Design and develop application using T-SQL and MSSQL (stored procedures)

Manage SDLC and change requests

Involved in SIT, UAT, releases

Investigate and troubleshoot the production issues and system problems escalated by IT operation team

• Lead technical discussions with technical teams for issue solving and system release preparation.

• Coordinate with IT teams on system environment setup and maintenance.

Job Requirements:

• Bachelor’s degree in Information Technology, Computer Science, Manage Information Science, Banking and Finance or equivalent.

• Min. 3 years of experience working as backend database / datawarehouse developer (T-SQL, Oracle PL/SQL)

• Proficient in System Development Life Cycle (SDLC).

• Competent in business requirement gathering, functional review, feasibility studies and stakeholder’s management.

• Hands on experience in writing complex stored procedures , triggers

• Good experience in performance optimization

• Experience in data management, data warehousing, data mart, data visualization, design and implementation

Interested candidates please email your latest resume to [email protected]

The Mechanical Engineer is responsible for the engineering and delivery of mechanical and structural aspects of construction under direction from the Construction Manager. Their activities will involve coordinating design and construction efforts, resolving on site engineering issues and planning and tracking productivity targets.

Key responsibilities and accountabilities

Technical

• Design, integration & coordination, installation & commissioning of mechanical systems and services required for the project
• Liaise with Construction/Installation Manager to ensure job is on schedule on Site.
• Liaise with Client on all technical aspects of the project.
• Provides engineering advice for the Construction/Installation Team.
• Attends meetings with client on all disciplines of the work (i.e. 1 etc.) as required.
• Prepares with the Quality Manager all Inspection and Test Plans and associated Project Specific Procedures.
• Ensures that the quality requirements of the client are adhered to and that company procedures are followed.
• Coordination & integration of the design with other engineering design disciplines & services
• Ensure project timetabling requirements are met
• Development / production of inspection & test and operating & maintenance manual documentation.
• Ensure local regulatory and OHS requirements are maintained
• Ensure that the surveys of installations throughout the project are conducted in a professional manner with all results being reviewed and accepted by UGL. All actions resulting from these surveys are coordinated by the Engineer until completion.
• Provides written reports on engineering activities as required by the Project Manager.
• Mentor Engineering Graduates and Engineering Vacation Students (Engineering Assistant)
• Maintain documentation and registers
• Provide monthly reporting data to the Engineering Manager as required

Safety

• Undertake all responsibilities in a safe manner.
• Ensure a safe working condition is present for all employees, contractors and visitors.
• Participate in daily pre-start meetings.
• Use appropriate personal protective equipment and safety systems such as job safety analysis, pre-work checklists and risk assessments.
• Comply and have input into safe working procedures.
• Report hazards, incidents and accidents within company guidelines.
• Assist with safety sections for reports, tenders and proposals.
• Actively participate in safety training.

Other

• Prepare and implement Workpacks, including ITPs
• Detailed planning and engineering of works
• Procurement of suppliers and subcontractors
• Subcontractor and Supplier Management
• Monitor, control and update program and productivity metrics
• Enthusiastically and co-operatively undertake all site inductions as requested by the client.
• Proactively continuously monitor and evaluation systems and procedures specific to site works to ensure that they are up to date, compliant and up-to-date in line with best practice.
• Actively participate in regular learning and development programs to continually enhance and further develop skills and continuously improve capabilities and performance.
• Portray a professional approach at all times through attitude and appearance.
• Ensure that work space is well managed, tidy, organised and safe.
• Comply with all UGL systems and processes and expected behaviours and standards.

Qualifications and Education Requirements

• Mechanical Engineering Qualification.
• Minimum 5 years’ experience in project related disciplines.
• Significant engineering experience throughout, design, construction and commissioning on Brownfields and Greenfields projects.
• Technical experience includes; rotating equipment, static equipment, GE equipment, materials selection, hydraulic systems, pipelines and piping components
• Strong communication skills (oral & written) including strong negotiation and influencing skills and the ability to establish effective working relationships with a variety of people at different levels both internally and externally.
• Demonstrated ability to work independently to organise and prioritise demands, handle multiple complex tasks simultaneously, set and meet deadlines and follow-through within a fast paced environment with multiple and competing demands
• Proficient skills in computers: MS Word, Excel, Access, Outlook
• Leadership ability

Main responsibilities

• Lead technical study into a propose solution, while involving expertise from infrastructure big data expert, business analyst requirement
• Document proposed design and develop the solution
• Implicitly ensure all CI-CD artefacts are part of the solution
• Perform code review while fostering knowledge and coaching best practices to team members
• Interact and provide reporting to project managers
• Monitor technical risk and escalate appropriately to management
• Research, design, and develop software.
• Analyse user needs and develop software solutions
• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
• Work with other engineers to integrate hardware and/or software systems

The position requires autonomy and reliability in performing duties with initiatives and leadership when it comes to all non-functional deliverables such as testing tools, mocking objects, production monitoring concerns, quality control including performance and load testing.

Education and Qualification Requirements:

• At least a Bachelor’s degree in any of these faculties: Computer Science,Information Technology,Programming & Systems Analysis and Science (Computer Studies)

Mandatory:

• At least 8 years in Software development
• At least 5 years in Java/J2EE development
• Hands on Data ingest and data processing technology like Spark streaming and Spark
• Hands on Messaging systems like Kafka, Flume or ActiveMQ, MQSeries or RabitMQ
• Hands on knowledge on Hadoop (preferably Hortonworks distribution) - HDFS, HBase, Hive, ORC/Parquet.
• Build tool - Maven/sbt/ant, UML, Restful web services, Jenkins/Team City, Source management – SVN/GIT, TDD using Junit, Jira/QC.

Good to Have:

• Solution design using proven patterns, awareness of anti-patterns, performance tuning, especially in streaming
• Knowledge of tools like Phoenix, ElasticSearch, Sqoop, StreamSets are good to have.
• Basic understanding of finance and investment banking

About STT GDC

Be part of a global leader in data centre solutions

ST Telemedia Global Data Centres (STT GDC) is a data centre provider headquartered in Singapore, with a global footprint in major business markets across Singapore, the United Kingdom, Germany, India, Thailand, South Korea, Indonesia, Japan, the Philippines, Malaysia and Vietnam. We harness cutting-edge technology to deliver a comprehensive suite of world-class, scalable and flexible data centre solutions, including connectivity and support services, designed to meet the evolving colocation needs of today and tomorrow. By joining our team, you’ll be part of a dynamic, fast-growing industry that forms the cornerstone of today’s digital world.

Why STT GDC

STT GDC’s internal culture is built on creating a forward-thinking, socially responsible environment that ignites positive change. We empower our employees to thrive in a workplace defined by excellence, innovation and growth, where collaboration and creativity can flourish.

✨ Empathy-driven culture: We lead with compassion and understanding, fostering a supportive and inclusive environment that values your well-being and voice.

Our company is specialised in providing direct marketing to our established clients. We communicate with people on a daily basis, increasing people skills and other soft skills. The skillset and knowledge you acquire will drive productivity and value in the long run in the business. We have opportunities for people who are interested to take a step up to develop other and be in management roles as well as traveling and networking abilities. We build the people, and people build the business!

Key Responsibilities:

- Maintaining in-depth knowledge of the products or services to provide accurate information and answer customer questions.

- Effectively engage with customers by building rapport, addressing objections, closing sales and providing excellent customer service.

- Prepare and deliver sales presentation to potential customers .

- Meeting or exceeding sales target set by the company.

Requirements:

- Ability to articulate ideas clearly and listen actively to understand customer needs.

- Ability to work independently and in a team.

- Ability to handle rejection .

- Ability to focus on achieving sales targets and personal objectives.

What is in it for you:

- Vibrant environment fostering creativity, collaboration, and productivity.

- Personalised one-to-one training and support .

- Opportunities for career advancement and personal growth.

- Exciting overseas travelling opportunities to gain exposure.

- Competitive renumeration in this performance-driven industry.

If you're ready to embrace a new challenge and redefine your career path, we want to hear from you! Join us in an environment that values innovation, growth and collaboration. Don't just settle for average -start a fulfilling career that makes a difference. Take the leap of faith and unlock your potential with us.

Apply now and let's shape the future together!

Job Types: Full-time, Permanent, Fresh graduate

Job Responsibilities:

• Promote and sell surgical devices and hospital supplies represented by the company

• Identify and increase opportunities in target markets

• Consistently keep updated on product, market and competitor knowledge

Job Requirements:

• Degree, with a minimum of 1-year marketing/sales experience

• Experience in medical device/pharmaceutical sales will be an advantage

• Possess a Class 3 driving license and preferably owns a car

• Willing to travel for work purposes

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

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)

Job Responsibilities:

• Promote and sell surgical devices and hospital supplies represented by the company

• Identify and increase opportunities in target markets

• Consistently keep updated on product, market and competitor knowledge

Job Requirements:

• Degree, with a minimum of 1-year marketing/sales experience

• Experience in medical device/pharmaceutical sales will be an advantage

• Possess a Class 3 driving license and preferably owns a car

• Willing to travel for work purposes

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

Working location: Labrador Park

Working hours: 10am to 6pm (Mon to Fri)

JOB DESCRIPTION

• Manage end-to-end recruitment processes, including job postings, interviewing, and onboarding of new employees
• Foster a positive work environment by addressing employee concerns, resolving conflicts, and promoting company culture
• Handle HR documentation, including contracts, benefits enrollment, and employee records
• Support performance reviews, feedback sessions, and development plans to ensure employee growth and alignment with company goals
• Coordinate training programs and workshops to enhance employee skills and professional development
• Ensure adherence to labor laws and company policies, maintaining HR compliance across all functions
• Compile HR reports and analyze data to track employee metrics, turnover, and engagement

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong verbal and written communication skills, with the ability to interact effectively with employees at all levels
• Excellent multitasking abilities with attention to detail and a proactive approach to problem-solving

EA Reg. Number: R21100629

EA License Number: 22C1278