Are you seeking an environment that helps to enhance your overall career and develop your personality?

Our team is expanding and we want someone who strives for more and keen learning mentality.

WHAT DO WE DO:

We are a growing Sales & Marketing company that specialises in face-to-face marketing with accomplished track records. We work with global industries leaders varies industries, providing external source of revenue for our clients and aid them to increase their branding through our expertise.

GET TO KNOW US:

We are a focused team with individuals who aim to exceed expectations and celebrate every little success together. Be part of a team that always that wants to be best!

If you want to be considered for this role, here are what we are seeking for:

- Good student mentality

- Team player- Enthusiast and positive!

- Charming smile

IF YOU ARE KEEN TO EXPLORE MORE, CLICK ON THE APPLY NOW BUTTON NOW!

We are hiring Temp / Contract Admin Assistant (Office hours) to be outsourced to our clients from reputable healthcare organizations.

Apply now!

Job Scope

• Provide admin support for the departments
• Printing and delivery of course notes, office admin work
• Check and upload databases
• Answer queries through emails and calls
• Extracting of data, preparation of reports and administrative support for meetings
• Other ad-hoc administrative duties assigned

Job Requirements

• Min GCE A levels or Diploma in any studies
• Able to commence work on immediate basis
• Proficient in Excel

All Interested candidates are invited to email your resume in MS Word format to:

[email protected]


Please include your full working experience, education background, notice period, expected salary.

Sheryl Tan
Outsourcing Team
Recruit Express Pte Ltd
Company Reg. No. 199601303W | EA License Number: 99C4599

We regret to inform that only suitable candidates will be shortlisted for an interview.

Your role

Have you got passion to work with people to make an impact in the businesses’ recruitment processes and job-hunting experience?

We are looking for Recruiters to:

• act as a trusted advisor and manage the recruitment process for your clients in your specialised sector (Banking & Financial Institutions, Manufacturing, Technology, Consumer & Retail, Legal & Compliance)
• adopt good sourcing practices and strategy to identify and hire the right candidates
• prospects new clients in your specialised sector and keep up with industry trends
• manage relationships with existing hiring managers and other HR management to engage them constantly and build stronger ties with them
• contribute towards continuous improvement initiatives or ad-hoc company projects

Your team

You’ll be part of the SearchAsia team in Singapore but also able to draw on our recruiting network in the region. We're problem solvers for hiring managers, making them happy by getting the right candidates. As a Specialist Recruiter, you’ll play an important role in driving impactful outcomes for our organization by connecting hiring managers with top talent. Your work will be essential in shaping the future success of the business through the acquisition of company’s greatest asset – people.

Your expertise

• graduate with degree in Business/Social Science/Communications or relevant discipline
• excellent communicator, know how to attract and engage candidates, especially passive
• great at presenting ideas, believing-in and selling important values that aligns with clients and company
• strong relationship management to effectively manage different stakeholders internally and externally
• self-motivated and driven with passion to pursue goals and hitting targets with team to expand industry specialisation and network

About Us
SearchAsia is the regional largest Recruitment & Staffing firm. With our headquarters based in Singapore, and our expanding network of offices across Asia Pacific, we are well-positioned to secure the best talents and take our clients' businesses to the next level.

With a client-focused approach, SearchAsia Consulting emphasizes building long-term partnerships, understanding unique hiring needs, and delivering customized solutions. Our expertise and commitment to excellence make us a trusted partner in the competitive talent market.

Join us

Be part of a dynamic team that thrives on connecting exceptional talent with extraordinary opportunities. At SearchAsia, you’ll grow professionally while making a meaningful impact on businesses and careers. If you’re passionate about people, eager to solve hiring challenges, and ready to excel in a fast-paced environment, we’d love to have you on board. Shape the future of talent acquisition with us!

Jocelyn Ho Wen Mun (R1658156) | EA License: 16S8107

[email protected]

Mission: Join our crew of innovators and game-changers to spread the love for our products and make them shine like diamonds!

Job Description:

We're on the hunt for a charismatic and creative Product Marketing Associate to join our crew! As a key player in our marketing team, you'll be responsible for crafting and executing marketing strategies that drive engagement, generate buzz, and make our clients' products/services irrestible to customers.

Responsibilities:

- Develop and execute product marketing plans that drive awareness, adoption, and revenue growth

- Collaborate with cross-functional teams to launch new products and features

- Create compelling pitching and presenting that showcases our products' awesomeness

- Analyse market trends, customers' feedback, and sales data to inform marketing strategies

- Work closely with sales teams to provide marketing support and enablement

Requirements:

- 1 year minimum of experience in product marketing or a related field

- Minimum diploma in Marketing Communications, or a related field

- Proven track record of launching successful marketing campaigns and driving results

- Excellent communication, project management, and problem-solving skills

- Ability to work in a fast-paced environment and adapt to changing priorities

- Passion for innovative products and marketing strategies

Nice to have:

- Experience with marketing skillsets and analytics platform

- Knowledge of design principles and content creation tools

- Familiarity with agile marketing methodologies

- Certification in marketing or a related field

What we offer:

- Competitive remuneration and bonuses packages

- Opportunity to work with a innovative and fast-growing company

- Collaborative and dynamic work environment

- Professional development growth opportunities

- Access to the latest marketing tools and technologies

- And, of course, a chance to be part of an amazing team!

Xiaomi Corporation was founded in April 2010 and listed on the Main Board of the Hong Kong Stock Exchange on July 9, 2018. Xiaomi is a consumer electronics and smart manufacturing company with smartphones and smart hardware connected by an IoT platform at its core.

Embracing our vision of “Make friends with users and be the coolest company in the users’ hearts”, Xiaomi continuously pursues innovations, high-quality user experience and operational efficiency. The company relentlessly builds amazing products with honest prices to let everyone in the world enjoy a better life through innovative technology.

Xiaomi is one of the world's leading smartphone companies. The company’s market share in terms of smartphone shipments ranked no. 2 globally in the second quarter of 2021. The company has also established the world’s leading consumer AIoT (AI+IoT) platform, with 374.5 million smart devices connected to its platform (excluding smartphones and laptops) as of 31 March 31, 2021, excluding smartphones and laptops. Xiaomi products are present in more than 100 countries and regions around the world.

Job Description

Key Responsibilities:

1. Construction of data warehouses, development and maintenance of data services for Xiaomi's overseas Internet business.
2. Design a reasonable multidimensional data analysis system architecture for massive data processing and query needs, adaptable to changes in business, to meet a variety of requirements.
3. Clean and process massive logs, and abstract reusable data models for multiple businesses.

Job Requirements

1. Bachelor’s degree or above in a computer-related field.
2. Familiar with common relational and non-relational databases, distributed storage, and capable of selecting appropriate storage components based on requirements.
3. Knowledge of big data processing frameworks such as Spark and Flink, and preference for those who understand the concept of streaming processing.
4. Possess good problem analysis and solving skills, strong learning ability, and logical thinking.

BIPO Service (Singapore) Pte. Ltd.

EA License No. : 18S9180

DATA ENGINEER

Responsibilities:

• Design, develop, and deploy data tables, views, and marts in data warehouses, operational data stores, data lakes, and data virtualization systems.
• Perform data extraction, cleaning, transformation, and flow, including web scraping.
• Design, build, launch, and maintain efficient and reliable large-scale batch and real-time data pipelines using data processing frameworks.
• Integrate and collate data silos in a scalable and compliant manner.
• Collaborate with Project Manager, Data Architect, Business Analysts, Frontend Developers, UX Designers, and Data Analyst to build scalable data-driven products.
• Develop backend APIs and work on databases to support applications.
• Work in an Agile Environment that practices Continuous Integration and Delivery.
• Participate in pair programming and code review processes with fellow developers.

Experience and Skills Needed:

• Proficient in general data cleaning and transformation (e.g., SQL, pandas, R, etc.).
• Experienced in building ETL pipelines (e.g., SQL Server Integration Services (SSIS), AWS Database Migration Services (DMS), Python, AWS Lambda, ECS Container task, Eventbridge, AWS Glue, Spring).
• Proficient in database design and various databases (e.g., SQL, PostgreSQL, AWS S3, Athena, MongoDB, Postgres/GIS, MySQL, SQLite, VoltDB, Cassandra, etc.).
• Experience with cloud technologies (e.g., AWS, Azure, Google Cloud Platform).
• Passionate about data engineering in a big data environment using cloud platforms.
• Experience with building production-grade data pipelines, ETL/ELT data integration.
• Knowledge in system design, data structures, and algorithms.
• Familiar with data modeling, data access, and data storage infrastructure (Data Mart, Data Lake, Data Virtualization, Data Warehouse).
• Understanding of REST APIs and web requests/protocols in general.
• Familiarity with big data frameworks and tools (e.g., Hadoop, Spark, Kafka, RabbitMQ).
• Comfortable with W3C Document Object Model and customized web scraping (e.g., BeautifulSoup, CasperJS, PhantomJS, Selenium, Node.js, etc.).
• Comfortable in at least one scripting language (e.g., SQL, Python).
• Experience in both Windows and Linux development environments.
• Interest in being the bridge between engineering and analytics.

4o mini

As a Data Scientist in Group Engineering, you'll have the opportunity to drive business growth and innovation through data-driven insights and solutions. You'll work closely with senior stakeholders to identify and prioritize business problems, develop and deploy AI and machine learning models, and drive adoption across the organization. With OCBC's commitment to digital transformation, you'll be at the forefront of shaping the bank's data science capabilities and contributing to the development of a future-ready organization.

How you succeed

To succeed in this role, you'll need to combine technical expertise with business acumen and strategic thinking. You'll work closely with cross-functional teams to understand business needs, identify opportunities for data-driven innovation, and develop solutions that drive tangible business outcomes. You'll need to be able to communicate complex technical concepts to non-technical stakeholders, influence business decisions, and drive adoption of data science solutions across the organization.

What you do

• Develop and deploy AI and machine learning models to drive business growth and innovation
• Collaborate with senior stakeholders to identify and prioritize business problems and develop data-driven solutions
• Lead cross-functional teams to design and implement data science solutions that drive tangible business outcomes
• Develop and maintain large-scale data pipelines and architectures to support data science solutions
• Communicate complex technical concepts to non-technical stakeholders and influence business decisions
• Drive adoption of data science solutions across the organization and measure impact on business outcomes

Who you work with

Group Engineering is a strategic partner to teams across the bank, co-creating products and solutions that drive business growth and innovation. As a Data Scientist in Group Engineering, you'll work closely with senior stakeholders across the organization, including business leaders, product managers, and technology teams.

Who you are

• A seasoned data scientist with 8+ years of experience in developing and deploying AI and machine learning models
• A strong technical background in computer science, statistics, or a related field
• Experience leading cross-functional teams and influencing business decisions
• Excellent communication and stakeholder management skills
• Ability to work in a fast-paced environment and drive multiple projects simultaneously
• Strong business acumen and strategic thinking

Data Analysts collect data, such as sales numbers or market research, to help companies make the right decisions. Key role of this position is to generate actionable insights, trends, problem statements, and business value. This person may be required to work with key partners in business and technology teams to create meaningful visualizations and stories to describe data in forms usable by the business.

Responsibilities

• Collaborate with cross functional team members and stakeholders to identify, collect and analyze data; to solve data related business challenges
• Analyze datasets to identify trends and uncover insights for potential business improvement and business opportunities
• Set up and maintain tracker on key leading business indicators
• Use graphs, infographics and other methods to help visualize data and present recommendations and findings to stakeholders
• Create useful reports and dashboards to help team members and stakeholders track performance and achieve business goals
• Establish KPIs to measure the effectiveness of data driven business decisions
• Ensure data is clean and Verified for accuracy and consistency
• Supporting the data warehouse in identifying and revising reporting requirements
• Providing expertise in data storage structures, data mining, and data cleansing
• Create and apply statistical model if necessary to create and evolve insight

Qualifications:

• Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Business or any other related discipline or commensurate work experience or demonstrated competence. Proven experience in data analysis, preferably in a similar role.
• Typically has 2-3 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with little or no work experience.
• Strong analytical, curious, business-oriented and written/oral communication skills
• Strong data visualization skills using tools such as Tableau, Power BI, or others.
• Excellent problem-solving and critical-thinking abilities.
• Effective communication skills with ability to story tell through data
• Keen learner, open to feedback and self-improvement
• (Preferred) Familiarity with data governance principles and data privacy regulations
• (Preferred) Programming knowledge such as Python and R
• (Preferred) Knowledge in Data Warehousing, ETL/ ELT processes

Are you driven by the desire to see your hard work directly impact others? Join the DNDTS team, where we excel in crafting success stories through dynamic projects. Each endeavor is a unique opportunity to contribute to our proven track record of achievements.

Experience the satisfaction of seeing your efforts transform into positive changes in people's lives. In our thriving SME environment, you won't be limited to a single role. You'll have the chance to engage in cross-departmental collaboration, fostering a rich learning experience.

As our team consistently grows, so do opportunities for career advancement. We embrace the startup culture by having a casual working attire and a flat hierachy across deparments. Your journey with us goes beyond a job—it's a chance to make a lasting impact while expanding your skill set. Join DNDTS and become a key player in our success story.

About the Company

Our company specializes in electronic products. We believe in the power of data to guide and refine our business strategies, including marketing, new business development, and overall operations. We are looking for a data analyst to help us unlock the potential of data and optimize our business for continued growth and success.

Roles & Responsibilities

As a Data Analyst, you will be responsible for gathering, analyzing, and leveraging data to inform decision-making and enhance our supply chain, sales channels, and overall business processes. You will collaborate with various departments to identify trends, improve efficiency, and maximize profitability.

Key Responsibilities

• Collect and analyze market data using our proprietary tool to uncover insights into consumer preferences, competitor strategies, industry trends, and potential opportunities for growth.

• Utilize our data analytics and visualization tools to examine data, communicate findings about key business aspects such as sales, revenue, costs, and production.

• Perform process analysis to pinpoint inefficiencies or bottlenecks and implement business process improvements for maximum profit.

• Conduct cost-benefit analyses to determine the optimal allocation of resources, investments in equipment, staffing decisions, or procurement strategies.

Qualifications / Requirements

• Bachelor's degree in Computer Science, Business Analytics, or a related field.

• Proficiency in common data analysis programming languages, libraries, and tools (e.g., Python, R, SQL, Pandas, NumPy).

• Solid data analysis and visualization skills, with experience in tools such as Tableau, Power BI, or similar platforms.

• Excellent communication skills, with proficiency in English.

• Ability to work independently and collaboratively with cross-functional teams.

• Strong problem-solving skills and a results-oriented mindset.

Benefits

• Flexible working hours

• Yearly Bonus

• Medical Insurance Coverage

• Staff Discounts

• Corporate Discounts at participating F&B and Retail Outlets

• Fast Career Advancement Opportunities

• Multi-Industry Exposure

• Working Location: East - Airline House - Next to Singapore Airlines HQ

Please ensure you meet the minimum qualifications before applying. We regret to inform that only shortlisted candidates will be notified. If you are a data analyst with a passion for using data to optimize operations and drive growth within the electronics industry, apply now to join our innovative company and embark on a rewarding career journey.

Be a part of our start-up where all decisions across BUs are data driven and never by gut.

CPO is a startup company dedicated to leveraging data-driven insights to drive innovation and growth. We are committed to harnessing the power of data to solve complex business challenges and deliver value to our customers. As we continue to expand our data analytics capabilities, we are seeking Data Scientists to join our team and contribute to our success.

As a Data Scientist, you will be at the forefront of our data analytics efforts, working closely with cross-functional teams to develop and deploy advanced analytical solutions. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to inform business decisions. The ideal candidate will possess strong analytical skills, a deep understanding of statistical methods and machine learning techniques, and a passion for solving complex problems using data.

Key Responsibilities:

1. Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data analytics to drive business value.
2. Collect, clean, and preprocess large datasets from multiple sources to ensure data quality and integrity.
3. Apply statistical analysis and machine learning techniques to develop predictive models and algorithms for solving business problems.
4. Evaluate model performance and iteratively refine models to improve accuracy and effectiveness.
5. Generate actionable insights and recommendations based on data analysis, and present findings to stakeholders in a clear and compelling manner.
6. Work closely with engineering teams to deploy and operationalize analytical models in production environments.
7. Stay abreast of the latest developments in data science and machine learning, and proactively explore new techniques and methodologies to enhance analytical capabilities.
8. Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making workflows.
9. Adhere to best practices in data governance, security, and compliance, ensuring the ethical and responsible use of data throughout the organization.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Experience with developing and deploying predictive models and algorithms would be a plus
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy) would also be a plus
• Strong understanding of statistical methods and machine learning techniques, including linear regression, logistic regression, decision trees, random forests, and neural networks.
• Experience working with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
• Solid understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

We are a equal opportunity employer and is committed to diversity and inclusion in the workplace. We encourage individuals from all backgrounds to apply.

What will you do?

• Oversee the product “Identity”. Some examples of the data you’ll manage would be: medium description, product weight, instruction sheets and products images (both 2D and 3Ds).
• Work closely with both the technical team in charge of product development and the Schneider web team. Some of these assets are delegated to subcontractors hence you’ll have to supervise their efficiency to avoid budget wasting and make sure that deliverables are published on time.
• Be a key actor in the creation of a safe and high-quality product by leading the quality process preventing customers to make mistakes when using our products.
• Drive the creation of exciting commercial assets enabling our sales colleagues to successfully convert new customers: customer presentations, leaflets, training content, video
• Work with Schneider advertisement expert teams, giving you a wider exposition while letting you discover even more workings of the big Schneider machine.

What qualifications will make you successful?

• Degree qualification in Engineering or its equivalent disciplines
• 5 years’ experience in electronics or electromechanics for products used in an automation system
• Basic project management
• Strong communication skills and collaboration spirit, required to influence and motivate various stakeholders: internal C&S teammates, Global Marketing, subcontractors.
• Rigor, dynamism, and proactivity will help you deliver accurate content, drive your colleague into respecting the deadlines and enable you to create to ways to improve the efficiency of the marketing team.
• Curiosity & willingness to keep learning & challenging oneself.
• Comfortable managing several topics in parallel
• Open to multi-cultural and multi-disciplinary environments.

As a marketing data analyst with a strong background in data analysis, you will report to the Head of Digital Marketing in MSIG Asia. You will work with local marketing teams in business units (BUs), which are insurance companies in countries and territories in the region, to analyse customer data, identify marketing opportunities, and track campaign status. You will play a pivotal role in bridging the gap between raw data and strategic marketing actions. With your expertise in marketing analytics, you will support campaign design and execution, reporting and tracking end-to end campaign funnel, and reviewing campaign effectiveness.

Key Responsibilities

• Data Analysis & Insights: Use data to uncover actionable insights, optimise campaigns, and inform strategic decisions across our marketing initiatives.
• Campaign Optimisation: Develop and apply data models to optimise performance marketing channels (e.g., social media, email campaigns, website analytics). Monitor and evaluate the effectiveness of marketing campaigns.
• Reporting & Visualisation: Utilise statistical tools and techniques to analyse data and generate actionable insights. Provide insights and recommendations to improve customer acquisition, retention, and engagement.
• Collaboration: Partner closely with marketing teams in the BUs in the region to design and implement data-driven marketing strategies and integrate data insights into business strategies.
• Customer Segmentation: Leverage customer data to drive segmentation strategies and targeted marketing efforts, focusing on personalisation and customer journey enhancements.

Requirements

• 7+ years' experience working within a similar role in digital marketing with a focus on data analytics in any consumer products and service industry is required. Solid understanding of digital marketing channels, metrics, and optimisation techniques.
• Proficiency in data analytics and visualisation tools (Excel, Google Analytics, Power BI, Tableau, etc.)
• Experience with SQL, Python is a plus
• Familiarity with CRM systems (e.g., MS Dynamics, Salesforce)
• Understanding of insurance or financial marketing principles and practices is preferred.
• Experience working with large datasets and knowledge of data warehousing.
• Ability to understand a system architecture, a company system architecture and the best practices of other companies, and to consider and promote sustainable architecture.
• Knowledge of statistics required to understand and utilise internal and external data. This includes understanding testing and statistical analysis methods, as well as having practical knowledge to optimally apply these methods.
• Ability to transform complex data into actionable insights that drive business decisions.
• Strong communication skills, with the ability to present findings and recommendations to non-technical stakeholders.
• Team player with the ability to collaborate cross-functionally and lead cross-functional projects.
• Highly organised and detail-oriented, with strong problem-solving skills and ability to adapt to deadlines.

About Synechron:

Synechron Singapore is a leading consulting and technology services firm specializing in the financial services sector. Our Singapore office focuses on delivering innovative digital transformation solutions to top-tier banks, insurers, and capital markets. We cultivate a diverse and inclusive environment where talent thrives, offering opportunities for professional growth and development. With access to cutting-edge technologies, our teams work collaboratively to create impactful solutions that enhance operational efficiency and customer experiences. Synechron Singapore is committed to excellence and actively engages in community initiatives, making a positive impact in the region. Join us to shape the future of financial services and technology

Your Role

As a Lead Data Engineer, you will play a leading role in designing, building, and optimizing our data infrastructure, ensuring that it supports the advanced analytics need of the bank. You will oversee a team of data engineers, working closely with data analysts, DevOps team, infrastructure engineers, and other stakeholders to deliver high-quality data solution.

Your main responsibilities will include:

• Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data.
• Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data.
• Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch.
• Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions.
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques.
• Optimize data engineering workflows for containerized deployment and efficient resource utilization.
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability.
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements.
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure.
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference.
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps.
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank.

Requirements

• Bachelor's degree in Computer Science, Data Engineering, Information Technology, or a related field.
• At least 6+ years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments.
• Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Ranger, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes.
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java.
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Grafana, Prometheus, Splunk will be an added benefit
• Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges.
• Excellent collaboration and communication skills to work effectively with cross-functional teams.
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.

At Synechron, we recognize that diversity is essential to our success. We are committed to fostering an inclusive environment where all employees feel valued and empowered to share their unique perspectives. We embrace differences in race, ethnicity, gender, sexual orientation, age, religion, disability, and cultural background, understanding that these attributes enrich our workplace and enhance our service to clients.

Our initiatives aim to promote equal access to opportunities and ensure that diverse voices are heard. By championing diversity and inclusion, we strengthen our ability to innovate and meet the challenges of the financial services industry

"• Dedicated as well as hard working individual with the intercommunication skills to work at all the level of organization.
• Possess an in-depth knowledge of data center infrastructure technology and components for installation.
• Working knowledge of Data Centre Mechanical & Electrical for operation.
• Vendor management.
• Extensive knowledge garnered working as a Data Center Operator
• Thorough knowledge of Data Center Operations with strong knowledge of Operations methodology.
• Experience in eye-ball checking of system faults and failures
• Good technical knowledge on Data Centre monitoring tools.
• Strong written and excellent communication skills."

Must have Talent / Skills

Ever work in Data Centre

"• ITIL Process Knowledge
• WOG experience "