No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2400+OT+allowances>$3K++

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Location: East

Mon to Fri 8am to 5pm

Salary: $2500 to $3000 depends on experience

Work life balance-Go back home on time

Training provided

Job Description

• Supporting role for Sales team.
• Processing purchase orders and expediting delivery schedules
• Interact, engage and/or respond directly to customers’ needs & requirements.
• Occasionally required to visit valued customers along with our sales persons to co-address critical business related issues such as ordering management, forecasting, pricing and so forth.

Requirements

• Able to communicate in both Mandarin and English fluently to liaise with customers
• Cheerful personality
• Able to start work immediately
• Fresh/Entry level welcome as training provided

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2400+OT+allowances>$3K++

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

• Manage and deliver analytics benchmarking reports from conception to completion with actionable insights and recommendations.
• High interaction with external clients and manage internal and external stakeholders.
• Define detailed scope and methodology, creating and executing on the framework with appropriate data mining techniques
• Work with the broader Visa data science team to create data driven solutions.
• Focus on building data science visualization capabilities to solve client's problems.
• Drive innovation through using data science techniques
• Act as data science advocate within our partners, advising and coaching analytical teams and sharing best practices and case studies.
• Continually look at the environment to challenge our assumptions around new sources of data, potential analytics partners, tools, talent and infrastructure.
• Explore leading methodologies and best practices to other teams and importing successful methodologies from other international markets

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Who are we?

Equinix is the world’s digital infrastructure company, operating 250 data centers across the globe and providing interconnections to all the key clouds and networks. Businesses need one place to simplify and bring together fragmented, complex infrastructure that spans private and public cloud environments. Our global platform allows customers to place infrastructure wherever they need it and connect it to everything they need to succeed.

We are a fast-growing global company with 20+ years of continuous growth. Through our innovative portfolio of high-performance products and services, we have created the largest, most active global ecosystem of 10,000+ companies, including 2,000+ networks and 3,000+ cloud and IT service providers in 32 countries spanning six continents.

Joining our operations team means that you will be at the forefront of all we do, maintaining critical facilities infrastructure as part of a close-knit team delivering best-in-class service to our data center customers. We embrace diversity in thought and contribution and are committed to providing an equitable work environment. that is foundational to our core values as a company and is vital to our success.

Job Summary
Leads repairs, corrective maintenance, and complex installations. Guides others in resolving incidents, and recommends new procedures to resolve faults.

Responsibilities

Facility / Infrastructure Maintenance

• Performs specialized preventative and corrective maintenance on-site

• Monitors the Building Monitoring System (BMS) and resolves alarms for specialized issues requiring considerable judgement and implications to resolve; follows guidelines on standard procedures and recommends sound solutions

• Operates and maintains plumbing, fire suppression, and life-safety systems

• Implements energy efficiency measures

• Assists on coordinating critical infrastructures

Vendor Support

• Coordinates and directs vendors on skilled tasks to ensure that maintenance activities are carried out per standards and requirements

• Assists with the creation and submission of scripts for maintenance

• Tracks and implements the work approval process for service providers for critical maintenance (including briefing at the start of work, control of work during the day workday/shift, final review of the work carried out)

• In cooperation with the vendors, changes/updates technical files for plants and equipment ensuring files and builds are up-to-date

Site Administration & Incident Support

• Performs specialized site logs and data gathering for issuing of permits, such as Maintenance Operation Protocol (MOPs) and scripts

• Identifies Single Points of Failure (SPOFs) and recommends solutions

• Responds to all on-site incidents, including failures, significant problems and delays

• Performs Root Cause Analysis (RCA) resolves issues

• Supports the on-site staff during incidents

• Demonstrates and supports processes and procedures are followed and adhered to

Work Orders & Additional Projects

• Completes skilled work requests and circuit installations

• Performs sophisticated troubleshooting and maintenance of office equipment (if necessary); supports auxiliary equipment and machines with problem solving and repairs to avoid/minimize downtime

• Makes moderate changes to mechanical, electrical and specialized systems, as directed

• Carries out more complex infrastructure projects

• Supports life cycle maintenance/end of life infrastructure projects and critical replacements

• May recommend infrastructure projects

Collaboration

• Collaborates with others to resolve difficult facility incidents

• Effectively collaborates within the department; may mentor team members on skilled maintenance activities

• Informs stakeholders of inventory needs to maintain optimal stock levels of critical parts and equipment, may support in coordinating processes for maintaining inventory

• Acts as a mentor to others in resolving incidents

Qualifications

• 5+ years experience

Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.

Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.

Location: East

Mon to Fri 8am to 5pm

Salary: $2500 to $3000 depends on experience

Work life balance-Go back home on time

Training provided

Job Description

• Supporting role for Sales team.
• Processing purchase orders and expediting delivery schedules
• Interact, engage and/or respond directly to customers’ needs & requirements.
• Occasionally required to visit valued customers along with our sales persons to co-address critical business related issues such as ordering management, forecasting, pricing and so forth.

Requirements

• Able to communicate in both Mandarin and English fluently to liaise with customers
• Cheerful personality
• Able to start work immediately
• Fresh/Entry level welcome as training provided

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

No experience/Diploma in precision/mechanical/mechatronic/electrical/electronic/Industrial or related engineering

Basic (no experiene / fresh)-start from $2400+OT+allowances>$3K++

Diploma in Engineering

Have AWS & Bonus

Japanese MNC

Job Description

• Assist Supervisor in day-to-day operation lines.
• Planning & Co-coordinating the workflow on production lines to achieve production targets.
• Trouble shooting production problems and assist in planning new project work.
• Groom to be leader

Requirements

• Diploma in Engineering
• No experience / Entry level welcome to apply
  

Please submit your updated resume in MS format by using the APPLY NOW BUTTON.
Alternatively, you may also email your resume to us at [email protected]

Emily Fong
Senior Talent Specialist
Atomrecruit Pte. Ltd. | MOM EA License No.: 15C7443
EA Personnel Reg No.: R1768368

Job Description

SIA has multiple positions for junior and senior data scientists to drive our AI, data science and business analytics initiatives.

Key Responsibilities include:

• Member of an in-house AI and data science development team that works on AI (including areas in generative AI, autonomous agent, NLP, computer vision and recommender system), mathematical optimization, game theory, and experimental design.
• Work closely with business stakeholders to create impactful and intelligent features/services in AI, data science and data analytics. Propose and build scalable ML/DL solutions. Deploy them as API microservices for use by software applications and business users for faster and more effective decision making.
• Oversee the technical work of external technology partners and provide them datasets to deliver products/services in AI and data science. Support business users in the assessment/ validation of partner-supplied prediction models and in their deployment to production cloud.
• Work closely with application development teams to operationalize and integrate AI/ML capabilities in API microservices.
• Note: You could be posted to any subsidiary in SIA Group.

Requirements

• BS in Computer Science, Mathematics, Statistics, Physics or related discipline is required. PhD and MS degrees related to machine learning and other AI disciplines are preferred.
• Intermediate programming skills in Python. Conversant with algorithm design/analysis, data structure and SQL. Familiarity with functional/object-oriented software development using modern programming languages such as Scala, TypeScript/JavaScript, Java and C# is a plus.
• Exposure in the use of workflow/map-reduce and stream processing systems such as Spark and Kafka for big-data processing.
• Relevant internship or industry experience as a hands-on data scientist/AI engineer in shallow and/or deep learning (you should be very comfortable with most topics covered in the free undergraduate textbook by Gareth James, “An Introduction to Statistical Learning – with Applications in Python”, 2023). Additional exposure in some of the following areas is a plus:

1. Use of recent proprietary/open-source LLMs through prompt engineering (such as OpenAI ChatGPT and Bing Chat). Familiarity with LLM application/data frameworks (such as LlamaIndex and LangChain).
2. Experience of using GPU-accelerated deep learning frameworks (such as PyTorch and TensorFlow).
3. Familiarity with Bayesian statistics/inference and Bayesian/causal networks for probabilistic reasoning.

• Some hands-on experience of AWS, Azure, GCP or other public cloud environment.
• Good interpersonal and communication skills for working with both technical staff and non-technical business users.
• Experience with Agile/Scrum/Kanban methodologies is a plus.

We have been evolving our Enterprise Data Warehouse (EDW) over the past few years and are looking for an individual who will help us determine its future state. Our data warehouse needs to be the single source of truth when it comes to financial data produced throughout the firm. You will be responsible for planning, leading, coordinating, and monitoring activities of one or more projects covering various facets of the project life cycle ranging from project initiation to analysis and implementation. The current technology stack is Linux based, utilizing Vertica, Python, Perl, Tableau, and a Service Oriented Architecture for data distribution. The creation of the roadmap for the future technology stack is in progress and it will certainly leverage AWS for all or portions of the platform.

Principal Responsibilities

* Manage the delivery of multiple projects while keeping all stakeholders and sponsors informed

* Determine business and technology requirements, time frames and procedures for successful delivery of projects

* Build relationships with key stakeholders across the organization and use those relationships to problem solve holistically.

* Appropriately orchestrate the necessary involvement of various disciplines to contribute to project success

* Influence large teams of stakeholders across multiple organizations to drive the execution of complex projects

Qualifications/Skill Required:

• 10+ years of work experience as a PM in the IT industry with specialization in Data Warehousing
• Excellent written and oral communication skills.
• Experience with project management and analytics; ability to partner with technology, and business stakeholders to implement initiatives
• Experience with Agile Development methodology
• Good team player with a strong willingness to participate and help others.
• Able to prioritize in a fast moving, high pressure, constantly changing environment; High sense of urgency
• Self-motivated, be able to define new processes, socialize with stakeholder groups and gain consensus.
• Time management skills with strong attention to detail; ability to work independently and manage multiple project assignments.

Who are we?

Value Added Services (VAS) is one of three growth strategies for Visa globally, aimed at diversifying Visa’s revenue with products and solutions that differentiate its network and deliver valuable solutions across other networks.

We are seeking a dynamic Manager to join our newly established GTM and Commercialization team within the VAS organization. This team is dedicated to expanding VAS revenue growth in the Asia Pacific region, by making VAS products easier to buy and sell.

The successful candidate will be based in Singapore, working closely with both Hub and market leaders.

This role is perfect for those who thrive on variety and enjoy tackling new challenges each day, and not seeking a routine job profile. Given the small size of our team, the role requires a high degree of flexibility and adaptability to handle different types of work. The ideal candidate should be proficient with numbers, have a firm grasp on business fundamentals, and possess strong interpersonal skills.

If you enjoy a dynamic work environment, have an aptitude for numbers, and have a keen understanding of what drives business success, I would love to hear from you.

Primary responsibilities:

• Sales Pipeline Tracking and Management: Oversee the sales pipeline, ensuring it aligns with our commercial goals. Regularly monitor and manage sales progress and outcomes, identifying bottlenecks and opportunities to optimize the sales process. Your role will be pivotal in driving revenue growth through effective pipeline management.
• Training and Education of VAS Specialist and Generalist sellers: Partner with functional teams to develop and deliver training programs that not only enhance the skills and knowledge of sales teams but also instill a deep understanding of our commercial objectives. Equip the team with the necessary tools and strategies to effectively sell our VAS products, thereby contributing to revenue growth.
• Data-Driven Sales Targeting: Create and maintain robust sales models that use data to identify key sales targets within the VAS organization. Your role will involve using these models to drive sales strategies that are aligned with our commercial goals, ultimately contributing to revenue growth.
• Data Analysis and Insights: Leverage data to drive strategic decision-making across the organization. Provide key insights on product utilization, client demographics, sales trends, and potential growth opportunities.
• Cross-Functional Collaboration: Work closely with internal functions to drive alignment on commercial goals and strategies. This includes facilitating effective communication and collaboration between teams to ensure a One Visa approach to achieving our commercial objectives.
• Influencing VAS Policies and Procedures: Take a proactive role in influencing VAS policies and procedures to make it easier to sell our products. This will involve understanding the barriers to sales and working to remove these through changes to policies and procedures.
• Commercial Strategy Development: Work closely with the team leader to support the development and implementation of commercial strategies for VAS products.

Job Description: Senior Data Engineer

Position Overview: We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The Senior Data Engineer will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our organization's data needs. The ideal candidate will have a strong background in data engineering, expertise in various data technologies, and a passion for building robust and efficient data solutions.

Key Responsibilities:

1. Design, develop, and maintain data pipelines and ETL processes to ingest, process, and transform large volumes of structured and unstructured data from multiple sources.
2. Collaborate with cross-functional teams including data scientists, analysts, and software engineers to understand data requirements and implement solutions that meet business needs.
3. Optimize and tune data pipelines and workflows for performance, scalability, and reliability.
4. Implement data governance processes and ensure data quality and integrity throughout the data lifecycle.
5. Design and maintain data warehouse and data lake architectures to store and organize data for analytics and reporting purposes.
6. Research and evaluate new technologies and tools to enhance our data infrastructure and capabilities.
7. Provide technical leadership and mentorship to junior members of the data engineering team.
8. Collaborate with infrastructure and DevOps teams to deploy and manage data solutions in cloud-based environments.
9. Develop and maintain documentation for data pipelines, systems, and processes.
10. Stay current with industry trends and best practices in data engineering and apply them to improve our data ecosystem.

Qualifications:

1. Bachelor's degree or higher in Computer Science, Engineering, or a related field.
2. X+ years of experience in data engineering, with a proven track record of designing and implementing complex data solutions.
3. Proficiency in programming languages such as Python, Java, or Scala, and experience with data processing frameworks like Apache Spark or Apache Flink.
4. Strong experience with distributed data storage and processing technologies such as Hadoop, Apache Kafka, Apache HBase, or similar.
5. Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with related services such as AWS EMR, S3, Glue, or Azure Data Factory.
6. Experience with SQL and relational databases (e.g., PostgreSQL, MySQL) as well as NoSQL databases (e.g., MongoDB, Cassandra).
7. Solid understanding of data modeling concepts and proficiency in designing efficient data schemas.
8. Excellent problem-solving skills and the ability to troubleshoot complex data issues.
9. Strong communication and collaboration skills, with the ability to work effectively in a team environment.
10. Experience with Agile development methodologies and tools like JIRA is a plus.

This job description outlines the primary responsibilities and qualifications for the Senior Data Engineer role. Candidates should possess a combination of technical expertise, analytical skills, and teamwork abilities to excel in this position.

[What you will be working on]

In addition to your teaching duties, you will carry out industry or consultancy projects to help you remain relevant in your profession and to evolving changes in industry, and maintain strong linkages with industry and schools. You will also have the opportunity to have industry attachments or experience on a regular basis to update your skills, knowledge and practices of your profession.

[What we are looking for]

You should be trained in Information Technology, Facilities Management or equivalent and familiar with at least two of the following:

- Cisco Networking Technologies - Windows Server Administration

- Linux Server Administration

- IT Service Management

- Fire Protection Systems

- Electrical Technology

- Air-Conditioning & Mechanical Ventilation System

- IT Service Management

In addition, you should have at least 3 years of relevant industry experiences. Professional certifications in Data Centre Operations or equivalent will be an advantage. You should have a passion and genuine interest to share knowledge and interact with youth, with good communication and interpersonal skills.

Those with good and relevant experience can look forward to Senior Lecturer or equivalent positions, with career development opportunities to leadership positions in the Colleges or Headquarters.

Applicants may check their application status at the end of 8 weeks from the closing date of this job posting

As a Data Engineer, you will be responsible for:

• Designing and implementing data solutions that meet business requirements. Also, it includes designing data schemas/data pipeline and systems to collect, manage and convert raw data into useful data system, improving data flow and acquisition processes, and integrating new data management technologies and software engineering tools into existing structures.

• Developing, testing, and maintaining architectures, such as large-scale processing systems and databases. It includes optimizing data retrieval, implementing ETL (Extract, Transform, Load) processes, and ensuring consistent data delivery across multiple sources and platforms.

• Managing and optimizing data storage through SQL and NoSQL databases, data lakes and data warehouses to ensure data is stored efficiently for easy retrieval and analysis.

• Implementing data quality checks to ensure high quality and accuracy. Also, to ensure data accessibility for analytic and business intelligence purposes.

• Collaborating with cross functional teams to ensure they have the necessary data to perform their duties effectively as well as to improve data flow efficiency and reliability.

Technical skills required:

• Programming skills: Python, JAVA, or Scala

• Expertise in SQL and experience with SQL database design

• Experience with big data tools like Hadoop, Spark, Kafka, etc.

• Knowledge of data modeling, data warehousing and building ETL (Extract, Transform, Load) pipelines.

• Familiarity with cloud services like AWS, Azure, or Google Cloud.

• Understanding of machine learning algorithms is a plus.

At the same time, as a Data Analyst, you will be responsible for:

• Collecting data from primary or secondary data sources and maintaining databases/data systems. Also, cleaning and pre-processing raw data from various source for data analysis. This includes dealing with missing values, outliers and transforming data into a usable format.

• Using statistical techniques to analyze data and generate useful business insights. Also, it involves identifying, analyzing and interpreting trends and patterns in complex data sets.

• Developing and maintaining interactive visual reports, dashboards and analytics using tools like Tableau, Power BI or excel.

• Work with various departments to understand their data needs and provide insights.

• Interpreting the data and turning analysis into actionable insights.

Technical skills required:

• Proficiency in statistical analysis and statistical packages (like Python and R).

• Experience in querying databases and use statistical computer language: SQL, Python, etc.

• Experience with data visualization tools like Tableau, Power BI, etc.

• Ability to articulate findings clearly to both technical and non-technical audiences.

• Strong problem-solving skills and attention to detail.

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information.

• Bachelor Degree in Engineering or Data Analytics

Work location: Upper Changi office

Qualifications

Education:

Skills:

Certifications:

Languages:

Years of Experience:

Work Experience:

Additional Information

Time Type:

Employee Type:

Travel:

Relocation Eligible:

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. 

Who we are

We are a boutique management consulting firm offering Business Consulting, Advisory, and Technology services to our banking clients in the wealth space. We partner with our clients on large transformation projects and act as their delivery partners.

We are building a competency center with a high-potential team with niche skill sets. Our focus is to bring together, a diverse talent pool that will create perfect synergy in delivering the best possible solutions for the projects we undertake. We also aspire to provide an inclusive workplace where fresh talent can grow and achieve their full potential.

Job Description

The candidate must have 5+ years of experience in a Data Engineer role with a degree in Computer Science, Informatics, Information systems or similar fields.

Key responsibilities include:

· Designing and building scalable data pipelines to extract, transform, and load data from a variety of sources.

· Maintaining and optimizing existing data pipelines and automating data workflows such as data ingestion, aggregation, and ETL processing.

· Working with data analysts in Fintech space to understand data needs and design appropriate data models.

· Collaborating with cross-functional teams to integrate data pipelines with other systems.

· Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.

· Monitor data systems performance and implement optimization strategies.

Minimum Qualifications:

· Strong development experience in at least two or more of the following languages: Python, Java, Scala, Go.

· Experience with working on large data sets and distributed computing in Enterprise using technologies like Hadoop, Spark, Hive, Kafka, etc.

· Proficient with building data pipelines and workflow management tools. Should have worked on Airflow, Nifi or related tools.

· Working knowledge of message queuing, stream processing systems like Kafka, Spark Streaming.

· Hands on experience working with NoSQL databases (like Cassandra, MongoDB, or Neo4j) and relational databases (like MySQL, PostgreSQL, or Oracle)

· Experience with data visualization tools like Tableau, Superset, or similar tools.

· Working knowledge of data quality, data governance, and data security principles.

Good to have:

· Experience with data science and machine learning tools and libraries (e.g. scikit-learn, TensorFlow, PyTorch, etc.)

· Cloud computing experience (e.g. AWS, GCP, Azure)

· Cloudera Certified Professional Data Engineer, IBM Certified Data Engineer, or similar certifications.

· Must be aware of data privacy and security concerns and regulations (e.g. GDPR, CCPA, etc.)

[What you will be working on]

Responsibilities:-

• Conduct lessons, create teaching and assessment materials and mentoring of students
• Develop and maintain new/existing teaching curriculum for modules stated above
• Undertake projects/consultancy work with both internal and external stakeholders, possibly in area of AI and DS

[What we are looking for]

Requirements:-

• Passionate about education and possess good values
• Team player with the ability to work independently
• Possess good communication skills, both written and verbal
• A good degree in the field of Artificial Intelligence, Data Science, Computer Science, Engineering, Mathematics or Statistics, preferably with a postgraduate qualification in a relevant field
• Experience in cloud computing or software engineering, particularly in the deployment of AI/DS models into production is preferred though not mandatory

Successful candidate will be offered a 2-year contract in the first instance.

Closing date: 22 March 2024
If you are shortlisted for the position, you should hear from us within 30 days of the closing date of the advertisement.

Responsibilities:

• Provide excellent customer success services to enterprise clients, establish mutually trusting collaborative relationships, and assist enterprise clients in deriving business value and success from the Huawei Cloud Service Platform solution architecture.
• Possess a profound understanding of data governance products and application scenarios, accurately discern the genuine perspectives of different roles such as customers and partners, and effectively guide solutions.
• Deep understanding and master data governance products, aiding customers in building solutions based on their specific requirements..
• Support the expansion and replication of platform product projects, contributing to the commercial success of these products.

Requirement：

• Bachelor Degree /or above, in Software Engineering, Telecom or equivalent.
• Possess over 5 years of IT-related work experience in relevant industries, with a strong inclination towards innovation, rapid learning adaptability, and a willingness to engage in forward-looking work.
• Preferred experience in data analysis, data modeling, data mining, and business insight projects.
• Familiarity with any of the following business domains: cloud computing, big data, artificial intelligence, machine learning, and the Internet of Things (IoT).
• Specific industry know-how or familiarity with related industry background knowledge is advantageous.
• Experience in planning, designing, and implementing projects in the fields of cloud services and artificial intelligence.
• Experience in solution design, including customer research, business model analysis, solution document writing, and effective communication and collaboration skills.
• Fluent in Chinese and English (to liaise with mandarin speaking associates in HQ).

Job Description

The Data Center Facilities Manager plays a critical role in ensuring the smooth and reliable operation of our data centre infrastructure. You will be responsible for overseeing all aspects of the facility's operation, including power, cooling, fire protection, security, and environmental controls. Other responsibilities include managing data center floor space and security. You will also lead a team of outsourced technicians and contractors, to manage projects, and ensure compliance with all relevant regulations.

Key objectives are to:

•Maximize uptime: Ensure the data centre infrastructure meets the required availability levels and minimizes downtime, preventing outages, service and data loss.

•Maintain system redundancy: Implement and manage redundant systems for critical infrastructure to ensure smooth operation even during maintenance or unexpected events. Ensure maintenance regime is adhered to and any arising gaps remediated in a timely manner.

•Control operational expenses: Manage budgets effectively and find cost-saving opportunities for maintenance, upgrades, and external services

•Plan and strategize data center requirements to meet SIA current and future IT roadmap.

Responsibilities:

Lead and manage:

•A team of outsourced data centre technicians and contractors, providing guidance, training, and performance feedback.

•Projects related to the maintenance, upgrade, and expansion / optimization of the data centre infrastructure.

•Hosting sites are run as per SLA and within limits of key data centre operating parameters for power cooling and environmental settings

•Emergency response plans for diverse scenarios like power outages, fires, or natural disaster

Ensure optimal performance:

•Of critical infrastructure systems, including power distribution, cooling systems, fire suppression systems, and security systems.

•Of the data centre environment, maintaining optimal temperature, humidity, and air quality.

•Of operational efficiency and resource utilization.

Plan and execute:

•Preventive maintenance schedules and corrective actions for identified issues.

•Emergency response procedures in case of power outages, equipment failures, or other disruptions.

•Budgetary allocation and resource management for the data centre facilities.

Maintain compliance:

•With all relevant safety, environmental, and regulatory standards.

•Lead and manage data center audits

•Documentation for all systems and procedures.

Collaborate:

•With IT and other teams to ensure the smooth integration of data centre operations with other critical functions.

•With external vendors and service providers to maintain and upgrade equipment and systems.

Data Cente strategy and migration:

•Responsible for providing Data centre design and construction inputs, sustainability initiatives, and energy efficiency optimization

•Work with IT team for data centres space and power requirements

•Work with and support IT team for any data centre migration as required

•Responsible for writing Datacenter related tenders such as maintenance contract, co-location sourcing etc. and writing management approval papers.

Requirements

•Bachelor’s degree in electrical or mechanical engineering with minimum 5 years relevant industry experience or Diploma in electrical engineering with a minimum of 10 years of experience in datacentre infrastructure and facility management

•Familiar with fire safety rules and regulations associated with operating complex datacenter infrastructure

•Proficient in data centre monitoring and management software

•Familiar with data center fiber and structure cabling would be a added advantage

•Possess Datacenter certification eg. CDCP, CDFOM

•Familiar with TIA-942-B design standards for Datacenter, Uptime Standards and ASHRAE requirements

•Familiar with IT hardware specifications and computer racking requirements for datacenter space and power planning.

•Excellent organizational/administrative skills as well as strong communications & interpersonal skills

•Must be a positive, collaborative, active excellent problem-solver, being customer service oriented and conscientious.

•Willing to work on non-office hour and weekend including public holidays

Role and Responsibilities

Perform health monitoring of the DC M&E equipment.

Attend to users’ request related to DC FM

Assist with cabling works within the DC.

Monitor ticketing system and follow up on necessary actions.

Prepare risk register for vulnerabilities devices, inclusive of vulnerabilities assessment scanning.

Ensure all DC asset movement activities are updated.

Assist DC manager and Team lead in reporting generating.

Requirements:

· Required to be on 24 x 7 standby.

· Displays willingness to learn and is committed to providing service level excellence in everything that he / she does.

· Able to articulate effectively and work well within a team.

· Proficiency in Microsoft office.

· Comfortable with 12 hours shift.

Craft Data-Driven Solutions and Shape the Future of Ticketing

Join Singapore's leading ticketing marketplace, a company with a 30-year legacy of delivering exceptional experiences in the arts, culture, sports, and entertainment industries. As a Business Intelligence Analyst, you'll play a pivotal role in harnessing the power of data to propel our organization to new heights.

Unleash Your Data Expertise

Are you a data maestro with a passion for problem-solving and a knack for translating complex data into actionable insights? If so, we're eager to have you join our team of data enthusiasts. Your expertise will be instrumental in shaping our data-driven culture and driving business success.

Your Impactful Contributions

• Delve into our diverse event portfolio and devise innovative business solutions that resonate with our clients across all industries.
• Cultivate exceptional client relationships, uncovering their needs to deliver tailor-made BI solutions that empower their growth.
• Collaborate with our team of Data Engineers, Analysts, and Science gurus to build and maintain cutting-edge analysis and reporting capabilities.
• Transform data into compelling narratives and insights, captivating stakeholders with your data storytelling abilities.
• Embark on data mining and statistical expeditions, uncovering hidden gems that enhance our business performance.
• Partner with teammates to architect robust data marts and introduce smart, adaptable metric frameworks that supercharge our analytics and streamline our BI processes.
• Team up with cross-functional team members, wielding data as your weapon to solve their business challenges.
• Uphold the highest standards of data quality across all our BI assets, ensuring the integrity of our decision-making processes.
• Drive efficiency and resource optimization through continuous improvement in data processing strategies.
• Champion data democratization across the organization, making data accessible and usable for all.
• Share the benefits of our BI ecosystem with our business users, empowering them to tap into existing reports and insights.
• Embrace change and ride the waves of evolution in the dynamic world of BI, adapting to new technologies and methodologies with enthusiasm.
• Stand as the guardian of our data kingdom, meticulously maintaining our data bible, dictionary, and glossary for all our reports and dashboards.

If you thrive in a fast-paced, dynamic environment and seeks to revolutionize the way data drives decisions in the entertainment industry, we'd love to have you join our team!

Job Requirements

• At least 1-3 years of experience working in a BI or analytics function preferably.
• Good working knowledge on SQL and R/Python to perform data querying, building BI models and conducting data analysis.
• Experience in data analysis and deep-dive analysis
• Strong data visualisation skills using Tableau, Qlik, PowerBI, Microstrategy or other relevant visualisation tools.
• Good understanding of ETL/ELT concepts and their relevant use cases
• Experience in gathering BI requirements and structuring specifications to produce business-relevant datasets and ensure data quality of the dataset.
• Passion for democratizing data effectively to the wider organization for self-serve
• Keenness to innovate and improve the BI process beyond basic reporting, seeking ways to add value so that the organisation can consume data more effectively.
• Strong communication skills, able to collaborate effectively with both sides of the business and technical divide.
• A self-starter mindset who takes ownership and excels in a lean and fast-paced organisation.
• Knowledge of Statistics & Machine Learning is a plus.
• Team Player with the ability to work across a matrix environment in a fast-paced environment and constantly evolving environment.

Perks that Elevate Your Career Journey

• Mentorship and Career Guidance: Receive personalized mentorship and career guidance to fuel your professional growth and aspirations.
• Inclusive and Collaborative Culture: Immerse yourself in an atmosphere of inclusion and collaboration, where diverse perspectives and teamwork drive innovation.
• Regional Network Connections and Opportunities: Expand your network and access a wealth of opportunities through our regional connections.
• Constant Innovation and Discovery Challenge: Embrace a culture of continuous innovation and discovery, where challenges become catalysts for growth.
• Fun and Product-Focused Culture: Enjoy a vibrant and product-focused culture, where creativity and passion are celebrated.

What we offer

• Competitive salary and benefits package
• Opportunities for career advancement within a global luxury brand
• A diverse and inclusive workplace
• Ongoing training and development programs
• Experience the prestige of working with iconic beauty and fragrance brands

Your skills and experience

• Familiar with Microsoft SQL Server and have SQL script development skills, experienced in data management 

• Good Knowledge of Google solution (Google Cloud, BigQuery, Google Analytics) and Microsoft solution (PowerBI, SSAS) 

• Excellent technical skills – good understanding on data analysis and integration 

• Good communication skills – Good spoken English required 

• Willing to manage many different sub-projects at the same time 

• Willing to work in a multi-brands and dynamic organization 

Job Description

The senior data engineer is a senior software developer with strong software engineering skills who is responsible for building custom open-source-based data ingestion and MLOps platforms. He/she has deep appreciation of the complexity of the data engineering process, such as the challenges of data ingestion involving large or near-real-time datasets, the maintenance of high data quality, and the importance of automation for increasing pipeline robustness and reducing the need for human intervention.

Key Responsibilities include:

• Be an effective distributed-system implementer in the following core activities:

1. Design and develop data engineering services and their ecosystem using distributed databases (relational, columnar, graph, in-memory); orchestration (Apache Airflow); and distributed stream/batch data processing (Kafka, Kinesis, Spark).
2. Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.
3. Design data models for mission-critical, high-volume, near-real-time/batch data; build idempotent/atomic production data pipelines to make data ingestion more fault tolerant.
4. Design and develop intuitive, highly automated, self-service data platform functions for business users.

• Explore, evaluate and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements

• BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.
• 3+ years of relevant industry experience in some or most of the following technical areas:

1. Advanced programming skills in Python. Conversant with data structures and algorithm design.
2. Experience in building data pipelines (including data collection, warehousing, processing, analysis, monitoring, and governance) using open-source data ingestion platforms.
3. Intermediate-level knowledge and experience with AWS cloud components and best practices. Good understanding in deploying data stores such as S3, RedShift, Elasticache, PostgreSQL, and ClickHouse.
4. Prior experience in modern software development is required (such as web frontend UI, backend API microservices, understanding of CI/CD and Scrum/Kanban agile development). Strong grasp on object-oriented or functional programming (using e.g. Python, Java, Scala, or C#).

Roles and Responsibilities

● Design, develop and maintain models (machine learning / simulation) and optimization methods to support business and operational processes.

● Develop the pipelines to train, validate and deploy these models across various environments.

● Design product experiments and interpret the results yielding impactful conclusions.

● Perform statistical data analysis & visualization to find answers and new insights to important business questions.

● Participate in technical discussions across the team through code reviews, RFC or architecture review sessions.

Requirements

● At least 2 years of experience working as a Data Scientist or an advanced (Masters, PhD) degree in a related field (computer science, statistics / mathematics, operations research, economics, etc).

● Strong knowledge of data science fundamentals and statistics, with experience in data analysis, modelling (machine learning / simulation)and optimization methods such as linear programming.

● Good understanding of experimental design and methodologies such as A/B testing or multi-arm bandits.

● Experience with modern software development practices: version control, refactoring, unit tests.

● Proficient in Python or R, SQL (PostgreSQL preferred).

● Experience applying data science in end-to-end production use cases: from data cleaning, feature engineering through to model training and inference.

Preferred qualifications

● Experience with geospatial analysis.

● Experience with real-time inference.

● Experience with time series forecasting, pricing strategies.

● Hands-on experience with ride-hailing/car-sharing use cases, consumer apps, or adtech/martech use cases.

● Familiar with AWS data analytics services.

● Experience with FastAPI (Python), Flask (Python), or similar.

● Experience with Spark.

● Experience deploying models to production.

We are seeking an experienced and creative Senior BI Analyst to join our team. This position requires a functional understanding of business domains preferably in one of Healthcare/ Financial services/ Retail sectors and ability to facilitate stakeholder communication, conduct workshops and create clear documentation.

A good understanding of data visualization tools such as Qlik, Tableau, or Power BI, complemented by strong proficiency in SQL would be ideal. The ideal candidate will have at least 5 years of experience in data analytics and business intelligence, with a keen ability to gather and understand customer business requirements. This role demands exceptional design skills to build visually appealing and insightful dashboards.

Key Responsibilities:

1. Requirements Gathering and Analysis:

   - Collaborate with business users to gather, understand, and document business requirements.

   - Translate business needs into technical specifications and BI solutions.

   - Conduct requirement analysis sessions with stakeholders to ensure clarity and alignment of vision.

2. Develop and Design BI Solutions:

   - Design, develop, and maintain advanced BI solutions, focusing on high usability and aesthetic appeal.

   - Create interactive and visually compelling dashboards and reports using tools like Qlik, Tableau, or Power BI.

   - Ensure data accuracy and integrity in all deliverables.

3. Data Analysis and Reporting:

   - Perform complex data analysis to extract actionable insights and support business decisions.

   - Develop automated reports and dashboards, continuously iterating to enhance user experience and data storytelling.

   - Work closely with stakeholders to tailor reporting based on evolving needs.

4. Database and Query Optimization:

   - Develop sophisticated SQL queries for data extraction and analysis.

   - Optimize database performance and query efficiency.

   - Uphold data quality and integrity standards.

5. Cross-Functional Collaboration and Support:

   - Engage with different business units to integrate BI solutions into diverse business processes.

   - Provide ongoing support and training to users on new and existing BI tools and dashboards.

   - Act as a liaison between technical and non-technical stakeholders.

6. Project Leadership:

   - Lead BI development projects, ensuring timely delivery and alignment with business goals.

   - Manage project timelines, resources, and stakeholder communication.

7. Innovate and Stay Current:

   - Keep updated with the latest trends in BI technology, design, and data analytics.

   - Evaluate and recommend new tools and technologies to enhance BI capabilities.

As a Package Consultant at IBM, get ready to tackle numerous mission-critical company directives. Our team takes on the challenge of designing, developing and re-engineering highly complex application components and integrating software packages using various tools. You will use a mix of consultative skills, business knowledge, and technical expertise to effectively integrate packaged technology into our clients' business environment and achieve business results.

This is a complex migration project to transition from multiple SAP ECC systems to a single, centralized SAP
S/4HANA instance. This critical initiative will streamline our operations, improve data quality and accessibility, and ultimately enhance our business efficiency. To spearhead the data migration efforts, we seek a highly experienced and qualified Senior Data Lead

Key Responsibilities:

• Strategic Data & Migration Leadership:
• Develop and implement a comprehensive data migration strategy for multiple SAP ECC systems to S/4HANA using Syniti Data migration MDM tool.
• Lead the global data migration team, motivating and mentoring team members across different locations.
• Collaborate closely with the client's global lead to ensure alignment and address their concerns.
• Maintain clear and consistent communication with stakeholders through periodic reports and presentations, highlighting milestones, progress, and potential risks.
• Implement an early warning system to proactively identify and address any potential delays in the migration timeline.
• Technical Data Migration Expertise:
• Define data mapping rules and transformations for seamless integration between ECC and S/4HANA.
• Oversee data cleansing and quality improvement activities, ensuring accurate and consistent data in the new system.
• Design and implement robust testing procedures to guarantee data integrity and functionality after migration.
• Manage data security and compliance throughout the migration process.
• Project Management & Communication:
• Develop and maintain detailed project documentation, including data migration plans, reports, and procedures.
• Monitor project progress against timelines and budgets, proactively mitigating risks and managing deviations.
• Communicate effectively with stakeholders across the organization, keeping everyone informed about progress, challenges, and decisions.

Required Professional and Technical Expertise :

• Minimum 8 to 12 years of experience leading data migration projects for SAP implementations.
• Proven expertise in SAP S/4HANA data migration using Syniti Data migration MDM tool.
• Strong understanding of SAP ECC data structures and processes.
• Solid knowledge of data modeling, cleansing, and quality management techniques.
• Excellent analytical and problem-solving skills.
• Exceptional communication, collaboration, and leadership skills.
• Demonstrated ability to manage projects effectively under pressure and within tight deadlines.
• Experience working in a fast-paced and agile environment.