As a Data Centre Project Lead, you will play a crucial role in ensuring the efficient operation, maintenance and migration of data center infrastructure.planning, executing, and finalizing projects within the data centre environment, ensuring they are delivered on time, within scope, and within budget. The role involves managing teams, coordinating with various stakeholders, and ensuring the smooth operation of data centre infrastructure projects.

• Lead data centre projects from initiation to completion, ensuring they meet scope, schedule, and budget requirements.
• To perform rack and stack duties in data centre
• Conduct routine inspections, preventive maintenance, and repairs on data center equipment to ensure optimal performance and reliability.
• Monitor data center infrastructure using various tools and systems to detect and address issues promptly.
• Liaise with internal teams, vendors, and clients to ensure project requirements are understood and met.
• Oversee the planning and installation of data centre infrastructure, including servers, storage, networking equipment, and power systems.
• Ensure all installations and upgrades adhere to quality standards and operational requirements.

As a Senior Data Scientist in Smart Manufacturing and AI at Micron Technology Inc., your responsibilities will includes creating comprehensive platform solutions that enable Fulfilment & Logistics Operations to leverage data and heuristics methods for decision making. You’ll collaborate with Global Operations and various sites to enhance aspects such as Cost, Scale, Quality, and Cycle Time. This will be achieved through the establishment and design of data architecture, and by working closely with key stakeholders to further the strategic initiatives of Global Operations.

Responsibilities:

Construct Future-Generation Data Systems

• Collaborate with diverse teams to establish and guide the roadmap and architecture of data infrastructure.
• Conceptualize, design, and develop a scalable and maintainable data pipeline encompassing data warehousing, data integration, and ETL processing.
• Create documentation related to software development, design, test cases, user training, and release.
• Lead or participate in bespoke data integration projects involving internal data systems and/or external subcontracted manufacturing and logistics systems.
• Work with SMAI/IT architectures/teams to plan and prioritize infrastructure delivery, ensuring processes and deliverables are aligned with the roadmap.
• Work alongside backend developers to define API specifications (e.g., REST services)

Ensure High-Quality Operational Data

• Set up best practices and tools for software development to uphold data integrity, perform cleanup, and validate across all pertinent data sources.
• Facilitate ongoing improvements in data quality to minimize support requirements.
• Establish centralized logging and monitoring systems equipped with logic for generating usage reports and conducting audits.
• Work in conjunction with IT to guarantee efficient processes for incident management, problem resolution, and change management.

Design and Implement Data Analytics

• Develop comprehensive business analysis that identifies challenges, opportunities, and potential solutions for the business. Project management and planning.
• Engage with extensive and intricate data sets to address a broad spectrum of business issues using various analytical and statistical methodologies.
• Resolve intricate optimization challenges utilizing optimization techniques.
• Create and standardize data science solutions within a production data pipeline.
• Ascertain statistical validity and significance, conduct statistical analysis to guide data-driven decisions, and identify anomalies, trends, and shifts.

Create Contemporary Visualization Solutions and Web Applications

• Develop web application and automate the needs for business reporting.
• Conduct interactive design sessions with customers.
• Utilize experimentation methods and design tests to enhance key user experiences.

Qualification:

A bachelor’s or master’s degree in data science, computer science, or information technology.

Minimum of 3 to 5 years of professional experience in the following areas:

• Software application (.NET or Java) and web application development (preferably Angular) and familiarity with JavaScript
• Business analysis and project management– assess processes, determine requirements, and deliver data-driven solutions to stakeholders
• Proficiency with business intelligence solutions (Nifi, Tableau, or Microsoft Power Platform)
• Comprehensive knowledge of relational databases, table and schema design, dimensional data modeling, SQL query and query optimization, and familiarity with database management systems (Microsoft SQL, HANA, or Snowflake)
• Understanding of the Agile development process
• Strong foundation in machine learning, statistical analysis, and data modeling.
• Outstanding problem-solving skills, with the ability to multitask and manage multiple projects concurrently.
• The ability to work in various areas of a development lifecycle, either as part of a team or independently.
• Self-driven, with a strong sense of ownership and the ability to work autonomously with minimal supervision.
• Effective communication skills, capable of presenting complex concepts and findings to both technical and non-technical stakeholders.
• High attention to detail, with a focus on data accuracy and quality.
• A team player who has experience working on projects with global stakeholders.
• Knowledge of the Manufacturing Execution System, SAP enterprise master data, and an understanding of logistics business acumen would be an advantage.
• Knowledge of capacity modeling, planning, and optimization would be an added advantage.

Job Description Summary:

We are seeking a skilled Cyber Analytics Engineer with a background in Machine Learning to join our Cybersecurity Operations team. This role is pivotal in developing advanced capabilities to support our Threat Detection Engineering, Cyber Defense Center, Cyber Threat Intelligence and Offensive Security teams. The ideal candidate will leverage data analytics and machine learning techniques to create innovative solutions that enable faster detection and automated response to emerging threats. If you are passionate about cybersecurity and have a strong background in data science, this is the opportunity for you to make a significant impact in protecting our organization.

Job Description:

As a member of our Cyber Data Science and Engineering team, this role will work with our Cybersecurity Operations team to identify opportunities to translate our data-at-scale to into actionable outcomes through data science and engineering approaches.

Supporting the following services, an ideal candidate will be able to:

Advanced Threat Detection:

• Design, develop, and implement machine learning models for detecting and responding to cyber threats across various data sources, including network traffic, user behavior, endpoint activity, and product web sessions.
• Continuously refine and enhance detection algorithms based on new threat intelligence and feedback from incident response teams.
• 
  

Threat Intelligence Integration:

• Analyze and apply threat intelligence data to improve detection capabilities, ensuring that models are trained on the latest threat actor behaviors and techniques.
• Collaborate with threat intelligence teams to integrate contextual data into services to all stakeholders, enhancing the accuracy and effectiveness of cyber operations.

Automated Response Solutions:

• Develop automated response systems that leverage machine learning outputs to initiate immediate actions against detected threats, reducing response times and mitigating risks.

Data Collection, Analysis and Visualization:

• Perform in-depth data analysis to uncover insights and trends related to cybersecurity incidents, leveraging statistical methods and visualization tools.
• Present findings and actionable recommendations to stakeholders, including technical teams and executive leadership.

Collaboration and Knowledge Sharing:

• Collaborate with cross-functional teams, including cybersecurity analysts, incident responders, and IT personnel, to ensure alignment on detection strategies and response protocols.
• Contribute to the development of best practices and documentation related to machine learning and data science applications in cybersecurity.

Skills we think will make you successful in this role include:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Cybersecurity, or a related field.
• 3+ years of experience in data science and machine learning, preferably within a cybersecurity context.
• Proficiency in programming languages such as Python or R, and experience with machine learning frameworks (e.g., MLlib, TensorFlow, PyTorch, Scikit-learn).
• Familiarity with cybersecurity concepts, threat detection methodologies, and threat intelligence frameworks.
• Strong analytical skills with the ability to translate complex data into actionable insights.
• Excellent communication skills, capable of conveying technical concepts to non-technical audiences.
• Excellent written and verbal technical communication skills, capability of communicating detailed machine learning concepts to other Machine Learning Engineers
• Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
• Experience designing new and working with existing deep learning models.
• Experience with NLP models like embedding models and transformer models.
• Experience working with time series data.
• Experience working with supervised, unsupervised, and semi-supervised machine learning settings.
• Experience developing and testing software services for production deployment.
• Experience working with data lake technology like Big Query and delta lake.

Job Description:

We are seeking a skilled and experienced Database Administrator (DBA) to oversee, manage, and optimize database servers, with a focus on both MS SQL and Oracle databases. The ideal candidate will have a strong background in database administration, automation of tasks, and experience with cloud databases, specifically Azure and AWS RDS. The role involves ensuring optimal database performance, managing user accounts, and performing backup and disaster recovery operations.

Key Responsibilities:

Database Monitoring and Management:

Monitor database storage, space utilization, table extents, and growth.

Alert and report potential performance issues or capacity bottlenecks, providing recommendations for improvement.

User Account and Access Management:

Setup and manage user accounts, access rights, privileges, roles, and profiles.

Backup and Recovery:

Plan and execute database backup and recovery processes.

Conduct an annual backup and restore exercise for databases backed up more than six (6) months ago.

Log and Alert Review:

Review daily logs, database alerts, database export logs, and scheduled job logs.

Database Maintenance:

Schedule and perform regular database housekeeping and maintenance activities to ensure optimal performance.

Manage scripts and database object deployments.

Performance Optimization:

Propose and implement database reorganizations and upgrades to enhance system throughput.

Perform fault and performance monitoring, responding to alerts with first-level troubleshooting when required.

Patch Management:

Manage database patching processes.

Collaboration and Issue Resolution:

Work with internal teams and external suppliers to identify and resolve database-related issues.

Documentation:

Maintain and update database server administration guides and Standard Operating Procedures (SOPs).

Disaster Recovery:

Perform annual database disaster recovery tests on selected databases as determined by the Customer.

Minimum Requirements:

Experience:

• At least five (5) years of experience in MS SQL administration.
• At least three (3) years of experience in Oracle Database administration.
• Minimum of three (3) years of exposure to Azure and AWS RDS databases.

Certifications:

• Microsoft Certified Solutions Associate (MCSA): SQL Database Administration.
• Oracle Database Administrator Certified Professional (OCP).

Preferred Skills:

• Strong understanding of database performance tuning and optimization.
• Excellent problem-solving skills with the ability to respond to database alerts and perform troubleshooting.
• Experience with database automation and scripting.
• Knowledge of cloud database solutions and services on Azure and AWS.

Key Competencies:

Analytical Skills: Ability to assess database performance and provide effective recommendations.

Collaboration: Work effectively with internal and external teams to resolve issues.

Attention to Detail: Maintain precise and accurate documentation for database administration.

Mandatory skill: Azure and AWS RDS, MSSQL, Oracle

Job Description:

• Design and develop data pipelines to collect, process, and store data from multiple sources.
• Build a data assets platform, serving as a centralized repository for managing and accessing data assets.
• Implement automated SQL generation tools, enabling the creation of SQL queries based on user-defined criteria or business needs using techniques such as query templates, metadata-driven generation, or machine learning algorithms.
• Develop new intellectual property (IP) in Singapore within your area of expertise.
• Manage collaborative projects with Institutes of Higher Learning or Research Institutes focused on new technology development.
• Provide short-term overseas support for process development as required.

Job Requirements:

• Master’s Degree (with a minimum of 2 years of relevant experience) or PhD (with at least 1 year of relevant experience) in:Computer Science
  Data Science
  Applied Sciences
  Statistics, or a related field
  

Required Skills and Experience:

• Proficiency in programming languages such as Python, SQL, Java, or Scala for data manipulation and automation.
• Strong understanding of data warehousing concepts and ETL (Extract, Transform, Load) processes, with experience using tools like Informatica, Talend, or Airflow.
• Experience with relational databases (e.g., MySQL, PostgreSQL, Oracle) and NoSQL databases (e.g., MongoDB, Cassandra).
• Experience deploying and managing data infrastructure on cloud platforms.
• Ability to design and implement effective data models that represent business needs.
• Strong understanding of data quality concepts and validation techniques.
• Familiarity with automation tools like Apache Airflow, Kubernetes, or Ansible for streamlining data pipelines and infrastructure.
• Basic understanding of machine learning algorithms, beneficial for tasks like query optimization or anomaly detection.

HOW TO APPLY:

Interested applicants, please click on “Apply Now” and provide the below details in your resume.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd
EA License No: 19C9950
EA Personnel: Jordan Fung Si Jong
EA Personnel Reg No: R23112945

About EPAM

EPAM is a leading global provider of digital platform engineering and development services. EPAM has been expanding in Singapore since 2013 and delivering the best solutions to our customers. As a recognized leader, EPAM Singapore achieved Great Place to Work® Certification in 2023 and is committed to providing our team with inspiring careers.

You will have the opportunity to work with fellow talented technologists and accelerate your career by participating in our numerous upskilling, training, and certification programs. That is why EPAM Singapore was awarded Gold for Best In-House Certification Programmes in the Employee Experience Awards 2023 and Silver in the SkillsFuture Employers Awards 2022 for our efforts in championing employees' skills development and building a lifelong learning culture at the workplace. You can also look forward to developing holistically with the multiracial festivals and various wellness and cultural activities organized by our passionate colleagues here.

Why EPAM?

• By choosing EPAM, you're getting a job at one of the most loved workplaces according to Newsweek 2022 & 2023.
• Employee ideas are the main driver of our business. We have a very supportive environment where your voice matters.
• You will be challenged while working side-by-side with the best talent globally. We work with top-notch technologies, constantly seeking new industry trends and best practices.
• We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey.
• At EPAM, you can find vast opportunities for self-development: online courses and libraries, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us.

What You’ll Do

• Analyse the Authority’s data needs and document the requirements.
• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues.

What Will Make You Shine

• Bachelor's degree in Computer Science, Computer Engineering, or related field.
• 5+ years of experience as a Data Engineer.
• Proven track record in waterfall/Agile project execution.
• Hands-on experience with DevOps tools and data virtualization (e.g., Denodo).
• Proficiency in reporting and visualization tools (e.g., SAP BO, Tableau).
• Expertise in big data technologies (Hive, Impala, Cloudera Data Platform).
• Strong Python, PySpark, Linux, and ETL (Informatica) skills.
• Advanced SQL, data modeling, and analysis capabilities.
• Deep understanding of analytics and data warehouse implementations.
• Ability to troubleshoot complex technical issues.
• Experience with high-availability, high-performance, and high-security systems in various environments (data centers, hybrid cloud).

How We Hire

Here, we summarize the typical journey to finding a job within EPAM:

1- Apply and tell us about yourself

2- Go through some standard interviews:

• General interview with a recruiter
• Technical interview with our technology experts
• Manager interview or Offer interview with a hiring manager

3- Get ready to join the team

Not sure if you meet all the requirements? No problem. Let’s talk anyway and find out more.

It takes 1 min of application to start the journey with us. Apply now!

At Jacobs, we push the limits of what’s possible to make the world smarter, more connected and more sustainable. In our built environment work, that means designing spaces that foster innovation, cultivate collaboration and drive the next great discovery for humanity. Bring your creativity, collaborative spirit and extreme attention to detail, and we’ll help you grow, pursue, and fulfill what drives you – so we can deliver extraordinary solutions for a better tomorrow, together.

We are looking to hire a Project Manager to join our Data Center team in Singapore. This position is focused on the growth of the APAC Data Center market share and the capture and execution of Data Center projects across Asia and ANZ. The role responsibilities include Strategic Account Management, Design & Project Management, and Project Acquisition.

• Responsible for both technical and financial aspects of the project.
• Leads and manages the team of Architects and multi-disciplinary Engineers through all phases of project planning, execution, and closeout, consistent with established project delivery processes to meet the scope, schedule, budget, and other specified requirements stated in the contract.
• Completes the scope of work to the satisfaction of the Client, while simultaneously ensuring that Jacobs HS&E, quality, financial, risk management; business and policy expectations are met. Recognize cultural sensitivities with Clients from other parts of the world.
• Play a significant role in the business development activities. This typically includes Client relationship development, project-specific positioning activities, proposal preparation, presentation, and contract negotiation.

To be a successful candidate, you shall possess:

• Minimum Bachelor's in Mechanical, Electrical Engineering, or Building Services Engineering.
• Membership e.g. Chartered Engineer / Professional Engineer / PMP would be an added advantage.
• Minimum 15 years of experience working in a design consultancy environment with 5 years of Data Center project experience.
• Proven capability to manage a large Data Center project of high complexity.
• Deep understanding and ability to apply the knowledge and skills required in the Data Center sector industry.
• Strong working knowledge in design and construction, building systems/components and technology, contract management, project delivery methods, environmental and LEED applications, team building and client relationship building.

Jacobs. A world where you can.

From our inclusive employee networks, to our positive mental health champions – we’re committed to driving a culture of caring where you can be you. Joining Jacobs not only connects you locally but globally - and together, our diverse perspectives and unique backgrounds power our collective strength. We collaborate and share! By supporting one another, we all succeed.

With safety and flexibility always top of mind, we’ve gone beyond traditional ways of working so you have the support, means and space to maximise your potential. You’ll uncover flexible working arrangements, benefits and opportunities to do good too – from participating in our global giving and volunteering program, to exploring new and inventive ways to help our clients make the world a better place. No matter what drives you, you’ll discover how you can cultivate, nurture and achieve your goals – all at a single global company.

Please note: If you are being represented by a recruitment agency you will not be considered, to be considered you will need to apply directly to Jacobs. Jacobs complies with the Tripartite Guidelines on Fair Employment Practices (TGFEP), including the prevailing guidelines on recruitment. All qualified applicants will be considered for the position regardless of age, race, religion, language, nationality, marital status, or family responsibilities.

Key responsibilities:

You will be responsible for the end-to-end software development and support for all work related to projects, quarterly change requests, L3 production fixes. This includes software product implementation and administration, application design, development, implementation, testing and support. You will be expected to work on Kubernetes based platforms.

You will also be responsible for quality assurance of the team’s delivery in conformance with the Bank-defined software delivery methodology and tools. You will partner with other technology functions to help deliver required technology solutions.

Other responsibilities include:

- Create frameworks, technical features which helps in faster implementation of OpenShift Kubernetes based applications

- Carry out POCs involving new data technologies, new container platforms, sidecars, daemonsets

- Design and develop application frameworks for container integration

- Create technical documents such as solution design, program specifications for target solutions

- Perform design and development of applications which may not be limited to: Software Applications, Data Integration, User Interfaces, Automation

- Maintain and recommend software improvements to ensure a platform centric management of software applications

- Performance tuning

- Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing

- Perform tasks as part of a cross functional development team using agile or other methodologies and utilising project management software

- Independently install, customise and integrate software packages, programs, product releases

Functional skillsets

- Degree holder or equivalent relevant qualification

- Should have more than 10 years of relevant experience.

Hands-on experience in implementing large scale data warehouse & analytics platforms in financial services industry with good functional knowledge of products & services offered in Retail bank / Wholesale / Global Markets covering some of the following analytics domains:

- Experience in deploying stateless, stateful workloads on OpenShift Kubernetes based platform

- Experience in developing microservices applications using node js, React, Java, RabbitMQ, Akka framework, Apache Consul, Apache Geode, Redis

- Experience in developing frameworks using Spark, Scala, Java, Python

- Experience in working with in-memory applications

- Strong knowledge of Operating Systems

- Experience in container deployment management using either Helm Package manager or Kustomize

- Experience in integrating container applications with an external security vault such as CyberArk Conjur, AAM

- Experience in deployment automation of container applications using Jenkins, Jfrog, Gradle, Bitbucket, Groovy

- Expertise in implementing appropriate security of data (SSL, Encryption)

- Expertise in Load balancing and replication, scheduling

- Good knowledge of Custom Resources, Docker, Taints & tolerances, Node affinity, ConfigMaps

- Experience in Shell scripting, Control-M

- Expertise in design of role based fine grained access control

- Supporting application failures, planning for resiliency, Back-up Recovery

Technical skillsets

- Platforms provided by IBM Cloud Pak for Data (CP4D)

- Kubernetes based platforms such as OpenShift, AWS, Azure, GCP

- Software defined storage (ODF)

- IBM Storage Fusion

- S3 compatible storage options (Dell ECS, HCP)

- Node js, React, Java, RabbitMQ, Akka framework, Apache Consul, Apache Geode, Redis

- Scala, Java, Python

- Helm Package manager, Kustomize

- Jenkins, Jfrog, Gradle, Bitbucket, Groovy

- Shell scripting, Docker

- Splunk, Prometheus, Geneous

At least, 2 to 3 technical certifications in any of the below technologies:

1. OpenShift

2. Kubernetes, Docker

3. Language – SQL, Java, Python, Scala

4. Automation / scripting – CtrlM, Shell Scripting, Groovy

Primary Responsibilities:

• Product Information Management (PIM) system (e.g. InRiver software), strong in Excel and can handle high volume sku products
• Spearhead regional content enrichment initiatives with robust support from cross-functional teams.
• Ensure top-notch data quality and content integrity, proactively addressing gaps in our product offerings through consistent product information updates.
• Strategically manage and curate the regional product portfolio alongside key stakeholders.

Requirements:

• Completed studies in economics, informatics (with a focus on IT or e-commerce), or a related field, coupled with a solid marketing foundation.
• Demonstrated track record with at least 5 years in professional product data management within technical sectors, leveraging data management or content management systems.
• Known for a structured, solution-oriented work approach complemented by exceptional communication skills.
• Proficient in industry standards such as ETIM, eCl@ss, BMEcat, and adept in ERP, PLM, and e-commerce platforms.
• Essential previous experience with PIM systems; familiarity with platforms like InRiver or similar is preferred.
• Strong command of data management using spreadsheets and Excel, enhancing operational efficiency.
• Thrives in a multinational environment, ideally with exposure to e-commerce dynamics.
• Fluent in English with a keen technical grasp and a passion for technology-driven content.

Additional Attributes:

• Self-motivated with a dynamic, collaborative, and team-centric mindset.
• Exceptional organizational prowess, adept at multitasking and forging impactful networks.
• Proficient in project management and coordination, ensuring seamless execution.

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

EA License No.: 01C4394 (PERSOLKELLY SINGAPORE Pte Ltd)

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

Privacy Policy

Our Global Privacy Policy

We are partnered with an established organisation to search for a Sustainability Analyst for their Data Center foorprint

Responsibilities:

• Optimize Reporting Processes: Create and maintain systems that streamline sustainability reporting, improving data accuracy and impact. Partner with internal teams to meet their sustainability KPIs.
• Lead Sustainability Initiatives: Spearhead the development and implementation of sustainability goals, ensuring alignment with both environmental and financial objectives for the organization and Data Centre operations.
• Policy Implementation and Review: Formalize sustainability strategies through documentation, conducting quarterly reviews to ensure alignment with evolving standards.
• Track sustainability metrics, gather relevant data, and produce regular performance reports. Conduct audits to ensure ongoing adherence to sustainability goals.
• Stay Informed on Best Practices: Monitor industry trends and continuously incorporate leading sustainability practices into the organization.

Requirements:

• Degree in any discipline
• Familiar with global and local sustainability standards, such as SS564 Green Data Centre, ISO 14001 Environmental Management System, etc.
• Analytical mindset and project management skills for effective tracking and reporting of sustainability projects.

Key Responsibilities

• Analyse the Authority’s data needs and document the requirements.

• Refine data collection/consumption by migrating data collection to more efficient channels.

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.

• Develop test plan and scripts for system testing, support user acceptance testing.

• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.

• Ensure the smooth operations and service level of IT solutions.

• Support production issues.

What we are looking for

• Good understanding and completion of projects using waterfall/Agile methodology.

• Hands-on experience in DevOps deployment and data virtualisation tools like Denodo will be preferred.

• Understanding of reporting or visualization tool like SAP BO and Tableau is important.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in big data engineering jobs using Python, Pyspark, Linux, and ETL tools like Informatica.

• Strong SQL and data modelling and data analysis skills.

• Good understanding of analytics and data warehouse implementations.

• Ability to troubleshoot complex issues ranging from system resource to application stack traces.

• Track record in implementing systems with high availability, high performance, high security hosted at various data centres or hybrid cloud environments will be an added advantage.

EA License # 14C6941

Key Responsibilities

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

Minimun Qualification

• N/O-level / Nitec/ Diploma Holder
• No experience needed, training provided

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

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

Celine Liew

Outsourcing Team

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

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products, and processes - all while providing customer support to our clients.

The Company Financials team provides our clients with fast and accurate market-moving data so they can stay on top of their game: broker estimates, financial filings, and any other dataset that is useful to understand financial performance in the markets. Our products run on intelligence and industry-specific insights provided by the industry teams. We combine financial modeling, industry expertise, data management, and technical skills to curate critical metrics and drive insights from our data.

We are dedicated to crafting a best-in-class financial analysis and modeling product while constantly looking to enhance and expand our existing offering through a deep understanding of the markets we operate in, the sectors we cover, and our clients current and future needs.

What's the role?

The Company Financials Markets team is looking for a Senior Data Management Professional who can combine deep subject matter expertise and advanced technical skills to own and develop data-driven strategies and workflows around exchanges and 3rd party data providers. You are expected to take advantage of these knowledge and skills to drive workflow strategies, deliver best-in-class user and technical workflows and better incorporate humans in the automation pipelines that eventually help shape and build fit-for-purpose Company Financials products. Coupled with good communication and stakeholder management skills, you will also be working very closely with partners across PD&T, including Product Managers, Engineering teams as well as other Company Financials Industries and Cross-function teams to meet the needs of our external and internal clients.

We'll trust you to:

• Develop data-driven strategies, balancing the best of technical, product, financial and Market knowledge, and work with our engineering and product departments to craft solutions
• Own the reliable and efficient workflows around the exchanges and 3rd party data providers such as document acquisition and structured/unstructured contents processing, utilizing programming, machine learning and/or human-in-the-loop approaches.
• Analyze workflows to identify critical observability checkpoints to ensure delivery of the fit-for-purpose data on market basis; design and build efficient, maintainable and scalable solutions to facilitate monitoring, reporting and alerting across markets.
• Analyze market specific workstreams to identify opportunities for improvement and/or consolidation by leveraging technical knowledge of Bloomberg's proprietary or open-source stacks.
• Communicate and collaborate across team members and complementary teams including Engineering, Product, and Bloomberg Intelligence
• Develop interconnected data models that enable analysis across datasets and develop statistical analysis.

You'll need to have:

• Minimum 4+ years of experience in the financial/fintech services industry, including exchanges, market data providers or financial technology institutions
• Minimum 4+ years of experience working in a data engineering role or related fields such data quality, data modeling, or data architecture
• Experience implementing high volume, low-latency ETL pipelines and proven track record of managing data lifecycle
• A bachelor's degree or higher in Computer Science, Mathematics, or relevant data technology field, or degree-equivalent qualifications
• Demonstrated experience working with Python in development or production environment
• Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)
• Strong project management skills and ability to prioritize and adapt to tasks accordingly with a customer focused mentality
• Powerful collaboration skills to work across departments and regions, excellent written and verbal communication skills
• Demonstrated continuous career growth within an organization
• Excellent written and verbal communication skills in English

We would love to see:

• Advanced degree/Master’s degree in a Finance or STEM subject and/or CFA designation (or working towards it)
• Experience in Bloomberg Company Financials products especially with specific market/exchange, Bloomberg Terminal fluency, and/or Bloomberg Data Workflows
• Familiarity with use cases of advanced statistical methods such as Machine Learning, Artificial Intelligence, and Natural language Processing
• Experience designing optimal database structures

If this sounds like you:

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: https://www.bloomberg.com/professional

About the company

Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Helo, and Resso, as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.

Why Join Us

Creation is the core of ByteDance's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible.

Together, we inspire creativity and enrich life - a mission we aim towards achieving every day.

To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

At ByteDance, we create together and grow together. That's how we drive impact - for ourselves, our company, and the users we serve.

Join us.

About the Team

The Data Security Management & Governance team is responsible for managing and mitigating data security risks posed within the organisation. To identify the data security risks and enhance the company's security management level, this team is responsible for the construction of the company's data security management system, defining the identification of security risks, and driving the implementation of security governance solutions. This team is also accountable for compiling company data security management regulations/polices, optimizing data security management processes, and operating the internal security platform.

Responsibilities

1. Accountable for establishing and maintaining data security metrics, conducting systematic monitoring of indicators, and performing attribution analysis. Measure the company's security level from multiple dimensions and provide risk inputs for data security governance.

2. Responsible for the construction of the company's data security management system, defining the identification of security risks, and driving the implementation of security governance solutions to enhance the company's security management level and collaborative capabilities.

3. Write company data security management regulations/polices, optimize data security management processes, and innovate data security management methods.

4. Responsible for the operation of the internal security platform. Develop effective operational plans and processes in line with business and platform development goals. Handle daily operational issues of the platform and respond to and drive the resolution of business-related problems.

Minimum Qualifications

1. Bachelor's degree or above, with a preference for majors in Mathematics, Statistics, Management, or Computer Science.

2. Minimum of 3 years of work experience, with a preference for experience in security governance, access management, consulting, or security platforms-related work.

3. Excellent communication skills with logical thinking ability.

4. Calm and composed personality, a strong inclination towards learning, and a team-oriented mindset.

5. Self-driven and results-oriented, enjoys challenging tasks, demonstrates enthusiasm for work, and can handle job pressures.

Preferred Qualifications

1. Have experience with other internet technology companies and work as a data security IC or leader.

2. Be able to use large models or have data analysis capabilities.

ByteDance 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 ByteDance, our mission is to inspire creativity and enrich life. 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.

Reporting Structure:

• Supervisor(s): Critical Facility Manager

Job Responsibilities:

1. Perform duty and/or shift duty roster to manage Data Centre operations, maintenance, troubleshooting, project rollout, and facilities related matters. This includes maintain and repair of infrastructure systems and critical facilities equipment.
2. Perform Data Centre monitoring and maintenance on infrastructure systems, critical facilities, and associated equipment. This includes raised floor environment, mechanical, electrical, emergency generators, fire/life safety systems and associated equipment.
3. Perform preventive and corrective support to scheduled or unscheduled maintenance on Data Centre infrastructure systems, critical facilities equipment and/or services.
4. Ensure all subcontractors deliver a quality and competent service and all contractual obligations are met.
5. Perform Data Centre and critical facilities work on environmental and management programs.
6. Perform equipment functionality test and data analysis.
7. Perform assets management duty. This includes maintaining of inventory, change and control programs, and purchase of parts and supplies.
8. Promptly respond and attend to incident and/or emergency situations. This includes fire, evacuation, equipment failure, etc.
9. Be the point of contact during significant events/incidents or multi-discipline technical escalations occurring within the specified sites.
10. Provide support, coordinate, and supervise Data Centre maintenance efforts. This includes coordination with internal and/or external parties, contractors, suppliers, and clients.
11. Provide standby support upon activation for shift duty stand-in and/or other coverage.
12. Conduct routine, sanity check and on-going assessment of Data Centre infrastructure systems and critical facilities operations.
13. Comprehend, analyse, interpret documentation. This include maintaining and updating of as-built drawings and schematic diagram.
14. Promote and maintaining the core Values of Engie.
15. Ensure professional image of Engie presented to clients and visitors at all times.
16. Comply and adhere to all regulated protocol and/or Company’s rules and regulation.
17. Perform other duties at time assigned by line managers.

Job Requirements:

1. Degree/Diploma in Electrical, Mechanical, or Equivalent experience.
2. Must be able to demonstrate a career showing continuous personal development with at least two years’ experience in Datacentre or 24/7 critical environment management.
3. Must be a certified Data Centre Professional or equivalent experience.
4. Good experience in 24/7 Datacentre and/or maintaining critical environments.
5. Able to perform standby or coverage of shift duty or on weekends/public holidays.
6. Preferably understand all the associated safety code related requirements relative to providing the service.
7. Experience with Health & Safety, Risk Assessments and Control Measures.
8. Detailed understanding and experience of the electrical and mechanical systems used in a Datacentre and commercial environment, including Feeders, Transformers, Generators, Fuel Systems, Switchgear, UPS systems, Battery banks, ATS/STS units, PDU/PMM units, ACMV, chilled water systems, Fire Alarm systems, and Fire Suppression systems (pre-action sprinklers).
9. Experience in operations management including team management and work scheduling.
10. Experience in managing escalation and emergency issues.
11. Experience in vendor management, ability to manage and progress monitoring to ensure objectives are achieve for outsourced support and projects.

Personal Attributes:

• Meticulous and have an eye for details with positive working attitude
• Organized and details-oriented, with a strong focus on accuracy
• Able to work under pressure and tight deadline

Other Information:

• Job Type: Full Time, Permanent
• Work week: 5 days
• Work location : Various location