We're looking for a driven and enthusiastic individuals to join our team and help drive our growth through direct interactions with potential customers. As a Face-to-Face Marketing Representative, you will be responsible for engaging with potential customers in person to promote our client's products and services through various marketing channels such as Events and roadshows. Your goal will be to enhance brand awareness and bring sales revenue for our clients through direct, personal interactions.

What you can look forward to:

Vibrant and fun working environment

1 to 1 mentorship (No prior experience required)

Travel Opportunities

Career Advancement Opportunities

Competitive salary and performance-based incentives

The Data Engineer plays a crucial role in the creation and maintenance of our advanced data analytics vital to the hospital's data-driven decision-making processes. The role focuses on the acquisition, storage, retrieval, and optimization of data from various sources to support clinical, operational, and research initiatives. Role also supports the work of Group Chief Data Officer (GCDO) for Data Analytics.

Data Sourcing and Collection:
• Identifying and understanding source systems.

• Gathering requirements on frequency, volume, and types of data.
• Ensuring data privacy and compliance measures are in place.

Data Ingestion using Informatica IDMC and/or Spark using Python:
• Designing, implementing, and optimizing data ingestion pipelines. • Ensuring reliability and fault tolerance of ingestion pipelines.
• Handling data transformations, if necessary, during ingestion.
• Collaborate and manage vendors if required to for the data ingestion

Data Lake Management:
• Proper structuring of the data in the DataBricks Lakehouse to ensure it is usable and performant.

• Setting up data partitioning, indexing, and archival strategies.
• Monitoring data growth and storage consumption.

Data Quality and Validation:
• Implementing data quality checks and validation rules during ingestion. • Ensuring data consistency, accuracy, and integrity.
• Setting up alerts for any data anomalies or issues.

Integration with DataBricks Lakehouse:
• Making sure the ingested data is accessible, query-able, and optimized for performance in DataBricks.

• Collaborating with data scientists and analysts to ensure the data meets their requirements.

Performance Tuning and Optimization:

• Monitoring ingestion pipeline performance and making and coordinate necessary adjustments.
• Ensuring data loads meet SLAs and optimizing as needed

Security and Compliance:

• Setting up appropriate access controls and permissions. • Ensuring data encryption at rest and in transit.
• Regularly auditing and reviewing data access patterns.

Data Extraction Requests:
- Assist with data extraction requests

Documentation and Knowledge Transfer:
• Creating thorough documentation on data ingestion pipelines, schedules, transformations, etc.

• Conducting regular knowledge sharing sessions with other team members.
Collaboration:
• Working closely with other data engineers, data scientists, business analysts, and stakeholders.
• Communicating any changes, downtimes, or issues proactively.

We are currently looking for innovative and organized individuals with the ability to work through large volumes of operational sales activities including implementation, optimization and reporting. Data analysts will support the needs of the Global Partnership sales team and publishers around the world through our email systems and by interacting in a cross-functional work environment.

Core Tasks:

• Perform large scale data analysis to identify trends and efficiency opportunities
• Support implementation and optimization for Programmatic monetization and Platform solutions.
• Support GP sales users through our email customer service tools.
• Troubleshoot account issues where required and provide account administration support.
• Contribute to automation efforts and offer possible solutions to increase operational efficiencies.
• Perform other administrative and operational role-related tasks such as: creating reports, presentations, communicating with stakeholders.

Mandatory Skills :

• At least 3 years of work experience with Account Management, Ad Operations or Project Management (experience with AdX, AdSense, AdMob, and DFP a plus).
• Problem-solving, analytical skills, comfortable handling and interpreting data.
• Ability to work through large volumes of support requests from our internal Sales customers within specified time frames.
• Broad understanding of online advertising solutions (i.e. ad serving, monetization) and of key platforms and trends (i.e. desktop, mobile, video).
• Advanced knowledge of Microsoft Office Suite: Excel, Word, PowerPoint & basic knowledge of SQL.
• Strong professional etiquette, organizational skills and attention to detail.
• Extremely organized, responsible, and having the proven ability to work well independently and with a team. - Quick learner, strong collaboration skills.

• Design, develop, test, and implement Tableau dashboards and visualizations
• Supporting Business dashboards, projects, and ad-hoc requests
• Manage portfolio of existing and future Tableau dashboards and deliverables (data preparation, security design, access management, data visualizations design, testing, optimization and automation, enhancement roadmap, portfolio catalog, development prioritization, user adoption and training)
• Lead the implementation of enhanced dashboard access and data sharing security framework for Business dashboards requirements
• Deliver meaningful insights, trends, and analysis across all Business areas using a variety of internal and external data sources
• Participate in gathering requirements and consulting with customers to understand business problems and find the best way to visualize outcomes
• Participate in cross-functional projects
• Translate analysis outcomes into compelling data visualizations that are intuitive and prompt insights and actions
• Use data to tell stories by creating visually appealing reports, Tableau dashboards, and presentations for our internal customers

Job requirement

• Bachelor Degree in Computer Science or Information technology
• Basic knowledge of products, services and channels in fin tech industry
• Strong background in database concept.
• Expert in Data Visualization tools (e.g. Tableau, QlikView, Power BI etc.)

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform -

https://sg.go.persolkelly.com/job/details/10579

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

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E
EA License No. 01C4394 • EA Registration No. R1105286 (Ngiam Xinyi)

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates collecting, using and disclosing my personal data for the purposes set out in the Privacy Policy which is available at www.persolkelly.com.sg I also acknowledge that I have read, understood, and agree to the said Privacy Policy.

We are seeking a seasoned Data Engineer with over 3 years of relevant experience in data engineering, business intelligence, and AI-driven analytics with overall 10 years + of experience. The ideal candidate will have a proven ability to design scalable data pipelines, implement machine learning models, and deliver data-driven solutions that optimize decision-making processes. This role requires close collaboration with cross-functional teams to align business needs with technical capabilities while ensuring data integrity, security, and compliance.

Key Responsibilities

• Design, implement, and maintain ETL workflows for managing large-scale datasets.

• Develop cloud-based data pipelines (AWS, Azure) for scalable and real-time analytics delivery.

• Optimize data models to ensure high performance and reliable reporting.

• Create advanced dashboards and visualizations using tools like Qlik Sense and Tableau.

• Incorporate predictive analytics and AI-driven insights to enhance decision-making.

• Automate trend analysis and forecasting using machine learning techniques.

• Develop and integrate machine learning models for real-time predictive analytics.

• Implement AI-driven algorithms for anomaly detection, trend identification, and operational efficiency.

• Establish and enforce data governance frameworks to maintain data integrity, security, and compliance.

• Perform regular audits to ensure high-quality and consistent data systems.

• Collaborate with cross-functional teams to develop tailored data solutions.

• Mentor and train teams on best practices for business intelligence and analytics tools.

• Engage with stakeholders to understand complex business requirements.

• Deliver customized reports and data-driven insights aligned with client strategies.

Qualifications

• Education:

• Bachelor’s in Computer Applications or related field.

• Technical Expertise:

• knowledge in Qlik Sense, Tableau, and other business intelligence tools.

• Hands-on experience with cloud platforms like AWS and Azure.

• Strong skills in ETL workflows, data pipelines, and data modeling.

• Advanced knowledge of AI and machine learning frameworks, including predictive modeling and analytics.

• Certifications (Preferred):

• Qlik Sense Business Analyst Certification.

• Qlik Sense Data Architect Certification.

• Experience:

• 3+ years in data engineering, business intelligence, and AI-driven analytics.

• Proven success in leading data-driven projects and implementing scalable solutions.

Role: Data Centre Operator

Work Location: Sim Ming

Shift Job: Yes, 12 hours Shift - Rotating shifts work 2 days off 2 days

Shift Schedule: Day shift 8.00am to 8.00pm & Night shift 8.00pm to 8.00am

Benefits:

*Fixed Basic Salary: $2,400 to $2,800 per month

*Shift Allowance: Yes

*Annual Leave: 10 days

*Medical Leave: 14 days

*Health Insurance

Job Description:

Critical responsibilities:

• To ensure all the task is completed
• To ensure all the system is well taken care and monitor,
• To ensure all back up is executed.
• to ensure all batch job is executed.

General Responsibilities:

• Monitor Server and application health.
• Batch job & monitoring
• Backup job & Monitoring
• Escalation and alert notification.
• Escort DC visitor.
• Support Building management maintenance, e.g. power maintenance, Aircon
• Support security advisories,
• Remote monitoring service,
• Support DR activity.
• Support and execute task assign by the Project manager.
• Printing service management.

Job Description

• Collaborate with stakeholders (customers, partners, colleagues) on data-related technical issues and infrastructure needs.
• Work with data scientists to gather data requirements for modeling.
• Design, develop, document, manage, and maintain data models, ETL processes, data warehouses, data management, and pipeline solutions for large volumes of structured/unstructured data from various sources with different latencies (on-demand, batch, real-time, near-real-time).
• Define, monitor, and report SLAs for data pipelines and products.
• Ensure data security and governance standards are met.
• Execute data quality assurance practices.
• Support data management solutions pre-sales initiatives, proposal development, and provide post-sales support.

Technical Knowledge/Skills/Competencies

• Expertise in relational/non-relational/NoSQL databases and enterprise data warehouses/marts.
• Proficiency in big data technologies (e.g., Hadoop, Spark, Hive, HBase).
• Knowledge of data ingestion technologies (e.g., Flume, Kafka, NiFi).
• Experience in scripting, programming, and software development (e.g., Java, C/C++, Python, R, MATLAB, Scala, SQL) for Windows or Linux.
• Experience in master data management, data governance, and data lifecycle management.
• Skilled in designing, documenting, implementing, and supporting data management solutions.
• Familiarity with software engineering best practices (development, programming, testing, version control).
• Knowledge of data privacy and security assurance.
• Understanding of machine learning, computer vision, and large language models is a plus.

Soft Skills

• Excellent written and verbal communication skills.
• Highly organized, motivated, independent, and resourceful team player.
• Strong analytical thinking, interpersonal, and problem-solving skills.
• Ability to work productively in a matrix reporting and fast-paced environment.

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Data Engineer - Talend ETL

• Required skills:
• Experience with Talend, Python and Spark
• Experience in Database and Hadoop (Hive, Impala, HDFS)
• Understanding of data-warehousing and data-modelling techniques
• Using the Talend ETL toolset, to create new and maintain existing ETL jobs.
• Design and implement ETL for extracting and transforming data from diverse sources, such as: Cloudera, PostgreSQL, and SQL Server databases.
• Design and develop database tables necessary along with the necessary constraints as per the requirement.
• Collaborate with Team members to understand source system structures and data retrieval methods/techniques, and tools within the organization.
• Support the development of data transformation logic using ETL tools or scripting languages like SQL, Python.
• Clean, validate, and transform data to conform to target schema and quality standards.
• Work with the Team to execute data quality improvement plans.
• Participate in troubleshooting activities to maintain data integrity and process efficiency.

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no: R1443178)

Recruitment Manager

Hand Phone: +65 92333815

Helius Technologies Pte Ltd (EA Licence No: 11C3373)

Job Descriptions:

1. Develop and provide cloud computing services (platform-as-a-service or infrastructure-as-a-service) suggestions/proposals for SME, Enterprise and various industry verticals.
2. Design data solutions aligned to the design principles and security standards of the Google Cloud Platform.
3. Design and implement solutions around data warehouse implementation ranging from architecture, ETL processes, multidimensional modelling, data marts implementation.
4. Design and optimize data acquisition, data ingestion, data processing using ETL (Extract, Load, Transform) tool and developing dashboards or other visualizations using Google Cloud Platform or other solutions.
5. Evaluate the requirements and determine actionable tasks, estimates and provide efforts for business solution build and architecture.
6. Responsible for technical documentation on solution implementation.
7. Perform operational readiness tasks and ensure production acceptance criteria are met.
8. Respond to platform technical issues in a professional and timely manner.
9. Work closely with the sales team for cloud-related sales opportunities.
10. Support Pre-Sales activities, i.e. proposal, systems design, proof-of-concept, demo, workshop conduct, etc.

Requirements:

1. Bachelor’s degree in Computer Science, related technical field, or equivalent practical experience.
2. 3 – 5 years of experience in Business Analytics, Data Engineering or Data Science.
3. Strong logical/analytical troubleshooting.
4. Experience in deploying and operating multi/hybrid-cloud platforms, such as Kubernetes, Anthos etc is a plus.

Job Description & Requirements

Position Summary/Overview:

• The Data Center Operation technician has overall responsibility to support the troubleshooting and coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for our 3 billion plus users, as well as our internal employee community. In this role, you will see a direct correlation between your work, company growth, and user satisfaction. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match.

RESPONSIBILITIES

• Manage and execute data warehouse plans for a product or a group of products to solve well-scoped problems
• Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve
• Collaborate with engineers, product managers and data scientists to understand data needs, representing key data insights in a meaningful way
• Build data expertise and leverage data controls to ensure privacy, security, compliance, data quality, and operations for allocated areas of ownership
• Design, build and launch new data models and visualizations in production, leveraging common development toolkits
• Independently design, build and launch new data extraction, transformation and loading processes in production, mentoring others around efficient queries
• Support existing processes running in production and implement optimized solutions with limited guidance
• Define and manage SLA for data sets in allocated areas of ownership

MINIMUM QUALIFICATIONS

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.
• 2+ years of work experience in data engineering
• Experience with SQL, ETL, data modeling, and at least one programming language (e.g., Python, C++, C#, Scala, etc.)

PREFERRED QUALIFICATIONS

• Experience with one or more of the following: data processing automation, data quality, data warehousing, data governance, business intelligence, data visualization, data privacy
• Experience working with terabyte to petabyte scale data

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

Phillips 66 & YOU - Together we can fuel the future

Phillips 66 has more than 140 years of experience in providing the energy that enables people to dream bigger and go farther, faster. We are committed to improving lives, and that is our promise to our employees and our communities. We are sustained by the backgrounds and experiences of our diverse teams, which reflect who we are, the environment we create and how we work together. Our company is built on values of safety, honor and commitment. We call our cultural mindset Our Energy in Action, which we define through four simple, intuitive behaviors: We work for the greater good, create an environment of trust, seek different perspectives and achieve excellence. Phillips 66 was recognized by Forbes as one of “America’s Best Employers” in 2021.

Learn more about Phillips 66 by visiting phillips66.com/about.

Basic Purpose/Accountabilities:

Reporting to the Director, Data Commerncial, the Data Team Analyst, Commercial supports the Market Analysts, Strategists and Traders by developing and maintaining data pipelines and visualizations for everyday use. In addition, this position will support ad-hoc requests from Senior Management, various Commercial groups, the Chief Economist’s Office, and Investor Relations. The analyst will primarily utilize tools such as Databricks, Data Factory, and Power BI to develop meaningful insights into the data; while developing a strong understanding of commodity pricing, seasonality, and supply and demand drivers related to energy markets.

Primary Responsibilities:

• Providing market analytical support for Commercial by developing, implementing, and supporting tools and analyses that improve the efficiency and consistency of information communicated across the global Commercial organization.
• Designing, developing and maintaining data capture tools that support Market Analysis and Commercial/Midstream Trading organizations using Power Apps.
• Developing and maintaining data pipelines and visualizations using Databricks, Data Factory, and Power BI.
• Leading ad-hoc projects and analysis to support Market Analysts, Strategists and Traders.
• Assisting Strategists in developing predictive models for markets, using fundamental and technical data, as appropriate.
• Leading information gathering processes and development of presentation packages as needed.
• Working to improve existing tools and processes used by the Commercial organization.
• Sharing knowledge freely and improving the team’s capabilities.

Basic / Required Qualifications:

• Bachelor’s degree
• 2-years’ experience with SQL and Python
• Experience with Power BI, Databricks, Data Factory, Azure DevOps and Git.
• Strong communication skills, both verbal and written.
• Strong analytical, problem solving, and organizational skills.
• Ability to adapt to quickly evolving requirements.
• Ability to synthesize data into useful information and articulate it to others in an easy-to-understand format.
• High degree of collaborative skills. Ability to develop, lead and actively participate on cross functional teams.

Preferred:

• Bachelor’s degree in MIS, Engineering or Business.
• 2 or more years of experience with Power BI, Databricks, Data Factory, Azure DevOps and Git.
• Experience in Machine Learning
• Experience of at least one of the following:

- Commercial trading businesses

- Commodity Markets

- Refining/Petrochemical Process understanding.

• Willingness and ability to support internal customers in business requirements.
• High degree of initiative - works proactively to anticipate needs.
• Strong ability to manage multiple projects simultaneously.

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

Phillips 66 International Trading Pte Ltd adopts the Tripartite Standards and is committed to be a fair and progressive employer.

• To assist in the consistent adaptation and adoption of AIC’s Information Management Policy across the organisation
• To assist in enabling related Data Management policies and executing relevant change initiatives
• Support the Data Protection Officer in handling of data sharing request in accordance with AIC Data Sharing Framework
• To assist in regular review initiatives to ensure continuous relevance and application of the AIC Data Sharing Framework to division’s processes
• To support the review of PDPA compliance related aspects throughout the organisation and its partners

Job Requirements:

• Degree in Information Science or Business Management with 3 -4 years' work experience
• Preferably 1 – 2 years of experience in handling information management, protection or/and data governance aspects
• Familiarity with Personal Data Protection (2012) and experienced in working within a Data Protection Office or similar would be beneficial
• Entry level candidates with relevant skillsets are welcome to apply. This includes background in process improvement methodologies and risk management practices, experience in analysing business processes and workflows to identify areas for improvement.
• Collaborate and/or guide stakeholders as part of cross-functional teams to identify and track areas for improvement
• Facilitation skills would be a plus
• Meticulous and conscientious
• Outgoing and works well in a team
• Good listener and quick to adapt

Zenith Infotech (S) , a Tech Recruitment firm with 27 years of presence in Singapore, is assiting one of our clients to lookout for Data Engineer, proficient in main skill set of Talend.

Job Scope :

· Using the Talend ETL toolset, to create new and maintain existing ETL jobs.

· Design and implement ETL for extracting and transforming data from diverse sources, such as: Cloudera, PostgreSQL, and SQL Server databases.

· Design and develop database tables necessary along with the necessary constraints as per the requirement.

· Collaborate with Team members to understand source system structures and data retrieval methods/techniques, and tools within the organization.

· Support the development of data transformation logic using ETL tools or scripting languages like SQL, Python, etc.

· Clean, validate, and transform data to conform to target schema and quality standards.

· Work with the Team to execute data quality improvement plans.

· Participate in troubleshooting activities to maintain data integrity and process efficiency.

Requirements:

• Experience with Talend, Python and Spark

• Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, HDFS).

• Understanding of data-warehousing and data-modeling techniques

• Knowledge of industry-wide visualization and analytics tools

• Good interpersonal skills and positive attitude qualifications

• Degree in computer science, mathematics, or engineering

Responsibilities:

• Scanning physical documents to create high-quality digital copies.
• Labelling digital files using a standardized naming and filing system.
• Ensuring each digital file is accurately associated with the correct employee.
• Conducting quality assurance to verify the accuracy and readability of digital files.
• Assisting with secure disposal or shredding of physical documents, if required.

Requirements:

Temporary 2 months contract (Full commitment period required)

Min. Diploma holder

Proficient in Excel and Google Drive

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #66104 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it’s likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Responsibilities

· Maintaining computer networks including mainframes, VPNs, routers and other physical hardware

· Installing and configuring network equipment

· Creating firewalls and updating virus protection software and data security systems to keep data and communications protected

· Monitoring computer systems to improve network performance for all systems

Skills/Requirement

· Security --> Palo Alto, Cisco ASA, Fortinet firewall & Proxy (must be Level 3

· Load balancers --> F5 LTM & GTM

· Routing & Switching --> Cisco Catalyst & Nexus, HP Aruba switches & Routers (must be Level 3)

Interested candidates, who wish to apply for the above position, please send in your resume to: [email protected]

PERSOLKELLY Singapore Pte Ltd EA License No. 01C4394 EA Reg No: R23118975 (ABDUL RAHMAN ANSARI RAJA)

We regret to inform you that only shortlisted candidates will be contacted.

**********************************

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

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.

**********************************

Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Data Analyst (PowerBI)position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises of over 40 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team!

Job Responsibilities:

· Respond to user requests to modify our existing PowerBI resources (~10 workspaces, ~30 semantic models, ~100 dashboards); create new PowerBI resources when necessary

· Respond to other user requests outside of PowerBI by using SQL queries to directly interact with our data warehouse

· Regularly audit data quality and security on both our PowerBI and data warehouse environments (Azure stack)

· Understand recurrent business requirements, able to help data engineers refine data mart designs based on real user expectations; make suggestions to the data team as a whole about how to service the organization better

· Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation by ensuring that business requests, and any resulting data products, are well documented

Requirements:

· 3+ years SQL experience

· 2+ years PowerBI experience

· Professional fluency in English and Mandarin

Requirements

As a Data Science Engineer at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and new solution development activities.

Responsibilities include, but not limited to:

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

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

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

We are developing and executing a shared strategic vision for Loyalty & Marketing Services platforms and products that enable Visa to be the world-leading data-driven payments company. As a Data Engineer, you will be part of world-class team of Engineers to define, drive and execute on this vision. We are looking for a self-motivated individual with software engineering skills and expertise with Java, Web technologies & Big data. The candidate will be extensively involved in hands-on activities including POCs, design, development, testing, and documentation. Candidate must be flexible and willing to switch tasks based on team's needs.

Primary responsibilities will include:

• Design and develop mission-critical systems, delivering high-availability and performance
• Work on development of new products and enhancements to existing systems iteratively by building quick POCs and converting ideas into real products
• Work closely with architects, business and technical stakeholders to develop high quality products and services that meet business requirements and expectations while applying the latest available tools and technology
• Instill best practices for software development, and deliver high quality work on tight schedules
• Identify opportunities for further enhancements and refinements to standards and processes
• Coordinate Continuous Integration activities, testing automation frameworks, and other related items in addition to contributing core product code
• Present technical solutions, capabilities, considerations, and features in business terms. Effectively communicate status, issues, and risks in a precise and timely manner

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.

Basic Qualifications

• Bachelors degree, OR 3+ years of relevant work experience.

Preferred Qualifications

• 1 to 2 years of software development work experience along with a Bachelor’s degree, or 2+ years of work experience with an Advanced Degree in a technical field such as computer science, computer engineering, or a related field.
• Solid foundation in computer science with strong competencies in data structures, algorithms, and software design optimized for building highly distributed and parallelized systems.
• Proficiency in Java or Scala with strong design and coding skills.
• Hands-on experience with web technologies including Spring Boot, HTML, CSS, JavaScript, JSON, JQuery, and REST API.
• Practical knowledge of Angular.
• Working experience with Spring and Hibernate frameworks.
• Experience with Apache Spark is plus.
• Familiarity with Git/Stash, Ant, Maven, Jenkins, and Jira.
• Experience with database technologies like DB2, Oracle, SQL Server.
• Knowledge of Unix/Linux operating systems.
• Experience with Agile & DevOps methodologies.
• Excellent analytical and problem-solving skills with a strong automation mindset.
• Capability to handle multiple competing priorities in a fast-paced environment.
• Excellent written and verbal communication skills and the ability to effectively communicate logic and implementation plans to team members and managers.
• Self-starter, quick learner, and detailed and thorough.
• Experience in payment processing is a big plus.

• Company: Japanese IT Services Organization
• Location: Tanjong Pagar/ Telok Ayer (Nearest MRT Station)
• Position: Data Analyst (Job ID: 19309)
• AWS + Variable Bonus
• Opportunity for career growth for entry level candidate

Job Description:

This role will work onsite within the client office and will be involved in Data Analyst projects with chance for exposure to various IT projects for skillsets growth.

Job Requirements:

• Min Degree in related background in IT
• Experience in financial/Trading mechanics is a plus
• Experience with API data, preferably Bloomberg, is a bonus
• Experience in Visualization (PowerBI/Tableau) is a plus
• Open to learn and expose to new technology and IT projects

Interested applicants please apply directly with your latest resume for further shortlisting.

We regret that only shortlisted candidates will be notified. Other applications will be updated to our database for future job opportunities.

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Jeffrey Koh Kok Ann

EA Registration No: R1770345

Pasona Singapore Pte Ltd

1 FINLAYSON GREEN ＃09-02 SINGAPORE 049246

EA License No:90C4069

Our client, a global leader in real estate and workplace management, is seeking a skilled professional to manage critical facilities operations (Data Centers). This role involves leading preventative and reactive maintenance programs, ensuring statutory and contractual compliance, and overseeing the operation of plant, mechanical, and electrical systems. You will address critical failures, coordinate with the Engineering Team, and manage a multidisciplinary team of staff and vendors to uphold operational excellence.

If you are successful in this role, you will enjoy the following:

• Competitive salary and benefits package
• Opportunity to work in a renowned real estate firm globally
• Collaborative and dynamic work environment
• Professional development and growth opportunities

Key Responsibilities:
- Manage site operations, including hiring, training, and developing site technicians and maintenance teams.
- Ensure compliance with KPIs, uptime requirements, and financial targets using the CMMS platform.
- Conduct site reviews covering maintenance, equipment, security, Tier adherence, and operational risks.
- Oversee subcontractor activities to ensure quality, timely completion, and regulatory compliance.
- Monitor contractor performance and address any gaps against contractual standards.
- Lead meetings with contractors and vendors to maintain performance and implement improvements.
- Support statutory compliance, asset updates in CMMS, and effective documentation for asset management.
- Provide engineering advice and ensure incident management aligns with approved procedures.
- Participate in client meetings and support continuous improvement initiatives.

Key Requirements:
- Tertiary qualifications in mechanical, electrical, or operational engineering.
- Minimum 3 years of experience in Tier III or equivalent data centre or critical facility operations.
- Strong problem-solving, communication, and interpersonal skills.
- Relevant data centre certifications and experience with continuous improvement practices.


If you believe that you fit the requirements of this opportunity and this opportunity will contribute to your career aspirations, apply now via [email protected]!

Reg No: R22110957

EA License No: 20S0075