Job Title: General Admin Clerk (ID8327)
Location: Ubi, Singapore
Working Hour：Monday to Friday 9am - 6pm, Saturday 9am - 1pm
Salary: $1750 - $1900

Job Description:
Keep files and records updated and easily accessible
Manage incoming and outgoing mail
Answer phone calls, take messages, and redirect calls as needed
Use office equipment like photocopiers and printers, and handle word processing and spreadsheet tasks
Perform basic bookkeeping tasks, including issuing invoices, checks, and updating employee leave records
Assist with office management and organizational procedures
Perform other office duties as assigned

Requirement:
· Familiarity with office procedures and basic accounting principles
· Knowledgeable with MS Office

Job Description:

We are on the lookout for a talented Data Engineer to join our team. In this role, you'll be at the forefront of designing, developing, and maintaining cutting-edge data solutions. Your expertise in data pipelines, ETL processes, and big data technologies will be crucial as you optimize data generation, collection, and processing. You'll be expected to leverage your deep knowledge of Python, PySpark, and Cloudera Hadoop to drive innovation and provide solutions to complex data challenges.

Key Responsibilities:

Design and Develop Data Solutions:

Create and maintain data pipelines and ETL processes to efficiently handle data generation, collection, and processing.

Optimize Data Processes:

Develop innovative solutions to enhance data flow and system performance.

Manage Data Pipelines:

Build and maintain robust data pipelines, ensuring data quality and integrity across systems.

Implement ETL Processes:

Execute advanced ETL processes for effective data migration and deployment.

Collaborate Across Teams:

Work closely with cross-functional teams to identify and resolve data quality issues.

Lead and Mentor:

Take on leadership responsibilities, making key decisions for your team and guiding them in problem-solving across multiple teams.

Required Qualifications:

Expertise in Python:

Proven proficiency in Python for data engineering tasks.

Cloudera Hadoop:

Expert-level experience with Cloudera Hadoop, including Hive and Impala.

Data Engineering Skills:

Advanced proficiency in data engineering, including building and maintaining data pipelines.

PySpark Proficiency:

Deep experience with PySpark for big data processing.

Big Data Engineering:

Hands-on experience with big data engineering jobs using Python, PySpark, and Linux.

ETL Processes:

Experience in implementing and managing advanced ETL processes.

Data Solutions:

Track record of developing and optimizing data solutions for large-scale environments.

Preferred Qualifications:

Cloudera Data Platform:

Experience with Cloudera Data Platform will be highly regarded.

System Implementation:

Proven success in implementing data systems using Hive and Impala.

Cross-Functional Collaboration:

Strong ability to work with various teams to tackle data quality and integration challenges.

Job Description:

We are seeking a skilled ETL Developer specializing in Talend to design, build, and maintain ETL jobs that facilitate efficient data extraction, transformation, and loading. This role will involve working with diverse data sources including Cloudera, PostgreSQL, and SQL Server, while collaborating with cross-functional teams to ensure data quality and integrity. The ideal candidate will have strong experience in using ETL tools and scripting languages like SQL and Python to clean, validate, and transform data as per business requirements.

Key Responsibilities:

ETL Development:

Design, develop, and maintain ETL jobs using the Talend ETL toolset to extract, transform, and load data from a variety of data sources such as Cloudera, PostgreSQL, and SQL Server.

Create and maintain database tables, including necessary constraints and indexes to meet the project requirements.

Data Transformation & Quality:

Implement data transformation logic using Talend or scripting languages such as SQL and Python to meet target schema and quality standards.

Collaborate with teams to design and execute data quality improvement initiatives.

Clean, validate, and normalize data to ensure accuracy, consistency, and completeness.

Collaboration & Troubleshooting:

Work closely with team members to understand source system structures, data retrieval methods, and organizational tools.

Provide troubleshooting support to ensure data integrity and resolve data processing issues to maintain the efficiency of ETL processes.

Process Improvement:

Participate in ongoing efforts to enhance ETL processes, identifying opportunities for optimization, automation, and improved scalability.

Required Skills & Qualifications:

Technical Expertise:

Proficiency with Talend ETL toolset for building and managing data pipelines.

Strong understanding of databases such as Cloudera, PostgreSQL, and SQL Server.

Advanced SQL skills for querying, transforming, and loading data.

Experience with scripting languages like Python for data transformation.

Data Management:

Experience in designing and developing database tables with appropriate constraints and indexes.

Strong knowledge of data cleansing, validation, and transformation techniques.

Collaboration & Communication:

Ability to work collaboratively with cross-functional teams to understand data sources and business requirements.

Strong problem-solving and troubleshooting skills to ensure data accuracy and process efficiency.

Preferred Qualifications:

· Experience working in a cloud-based environment (e.g., Cloudera, AWS, etc.).

· Familiarity with data quality improvement frameworks and tools.

· Understanding of data warehousing concepts and practices.

Educational & Professional Requirements:

· Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field.

· 3+ years of experience working with ETL tools (Talend) and database technologies.

· Certifications in Talend or related ETL tools are a plus.

Role:Data Analyst

JD:

Responsibilities: 3-5 Years of exp as data analyst, you will be responsible for developing and

implementing business strategies that align with the company's goals and objectives. You will

leverage your expertise in Microsoft Azure Analytics Services to design and implement effective

analytics solutions. In this role, you will collaborate with cross-functional teams to develop operating

models and prioritize value analysis. You must have expert proficiency in Microsoft Azure Analytics

Services. Having expert proficiency in Operating Model Development and Value Analysis and

Prioritization will be advantageous.

Develop and implement business strategies that align with the company's goals and objectives.

Design and implement effective analytics solutions using Microsoft Azure Analytics Services.

Collaborate with cross-functional teams to develop operating models.

Prioritize value analysis to ensure optimal resource allocation.

Provide expert guidance and support to project teams throughout the implementation lifecycle

Mandatory to have experience in 1. Data migration planning 2. Business and technical data

requirements documentation (BRDs) Skills- 1 - Microsoft Azure Analytics Services (P4 - Expert) 2 -

Operating Model Development (P4 - Expert) 3 - Value Analysis and Prioritization (P4 - Expert)

Description:

Responsibilities: 3-5 Years of exp as data analyst, you will be responsible for developing and implementing business strategies that align with the company's goals and objectives. You will leverage your expertise in Microsoft Azure Analytics Services to design and implement effective analytics solutions. In this role, you will collaborate with cross-functional teams to develop operating models and prioritize value analysis. You must have expert proficiency in Microsoft Azure Analytics Services. Having expert proficiency in Operating Model Development and Value Analysis and Prioritization will be advantageous.
Develop and implement business strategies that align with the company's goals and objectives.
Design and implement effective analytics solutions using Microsoft Azure Analytics Services.
Collaborate with cross-functional teams to develop operating models.
Prioritize value analysis to ensure optimal resource allocation.
Provide expert guidance and support to project teams throughout the implementation lifecycle

Mandatory to have experience in 1. Data migration planning 2. Business and technical data requirements documentation (BRDs) Skills- 1 - Microsoft Azure Analytics Services (P4 - Expert) 2 - Operating Model Development (P4 - Expert) 3 - Value Analysis and Prioritization (P4 - Expert)

(Hiring for new branch located at BUKIT BATOK area)

IF YOU ARE looking for...

• Career advancement with work-life balance;
• Substantial flexibility in workplace;
• Mon.- Fri. Office working hours
• Salary Range: Basic salary $2,600 ~ $3,500 + Incentive/Commission + Creative Performance Bonus)

Responsibilities

• Responsible for developing long term customer relationship and maximizing customer retention;
• Support on pre-sale and post-sale, not limited to solution proposal on technical requirement, design & budget control, timeline management, etc. based on projects;
• Participate in industrial related exhibitions, marketing campaigns/events;
• Other ad-hoc duties assigned by the superior.

Qualifications

• Min. Higher Nitec in Engineering (any field), or equivalent;
• Entry level applicants with the right learning attitude and positive minder are welcome to apply as comprehensive On-Job-Training will be provided;
• Excellent written and oral communication skills
• Pro-active, possess technical and Negotiation/social problem-solving skills with attention to details;
• Posse valid Class 3 driving licence is a MUST

How to apply,

Please submit your application together with your comprehensive resume, not limited to the education background, career history (if any), current and expected salary(if any), and availabilities to commence work.

(We regret to inform that only shortlisted candidates will be notified)

(Hiring for new branch at BUKIT BATOK area)

IF YOU ARE looking for...

• Career advancement with work-life balance;
• Substantial flexibility in workplace;
• Creative performance bonus;

Responsibilities:

• Serve as one of a key contact for machine installation and services;
• Assist on technical training to customers;
• Excellent communicate skills to interact with suppliers and customers;
• Solid technical knowledge to provide professional solution on customers’ inquiries;
• Other Ad-hoc duties as required by the superior;

Requirements:

• Obtain min. Diploma in Engineering (any fields) or equivalent;
• Someone without relevant working experiences also welcomes to apply as on-job training will be provided;
• Pro-active, possess technical and problem-solving skills with attention to details;

How to apply,

Please submit your application together with your comprehensive resume, not limited to the education background, career history (if any), current and expected salary(if any), and availabilities to commence work by ‘Apply’ the link.

(We regret to inform you that only shortlisted candidates will be notified)

Find Your Dream Job with Us

WE ARE HIRING!! Apply now and make a difference.

Role: Data Security Engineer

Job Requisition Number: JR40599

Experience: 3 - 5 years of experience (L2)

Location: Singapore

Job Objectives:

The Data Security Engineer will support the day-to-day operations and development of the bank security suite of products with key objective in designing, developing, deploying, maintaining and enhancing the Bank’s Data Security capabilities which includes but is not limited to Data Loss Prevention (DLP), E-Mail Encryption and Operations.

Key Responsibilities

1. Create dashboards, alerts, reports in Splunk.

2. Maintain and enhance existing reports for business

3. Develop the necessary test cases and perform testing

4. Implement and operationalize the use cases.

5. Create and maintain documentation in accordance to Bank standards.

6. Ensure appropriate standards and procedures are adhered to during the development process to support quality deliverables.

7. Troubleshoot, debug and provide production system support for Data Security Engineering services

8. Coordinate with internal teams and vendors to resolve system issues

9. Execute tasks related to project / change request / maintenance request

Key Requirements:

Technical Skills

· Working experience in integrating solution with Splunk and developing Splunk contents (alerts, reports and dashboards)

· Hands-on experience with Windows, Unix or Linux and endpoint management tools (e.g. SCCM, JAMF)

· Proficiency in network technologies, scripting and automation (e.g. PowerShell scripts, Python)

· Advanced level of proficiency in Microsoft Office products

Other Competencies and Education

· Degree in Computer Science or related discipline and related certifications.

· Overall 6 years of work experience in information technology and at least 2 years in Cyber Security

· At least 3 years of relevant experience in managing and deploying Data Security solutions

· Data Security or Splunk product certifications will be favorable although not mandatory

· Knowledgeable with the variety of Data Security technologies and familiar with the industry trends and best practices

· Analytical problem solver and good at troubleshooting technical issues

Please forward your resume in MS word format to [email protected] and [email protected]

Please refer your friends for any IT openings as we have various positions.

Please do not send a PDF Format Resume. Send the following details

1. Notice period

2. Current Salary

3. Expected Salary

4. Visa Status in Singapore

5. Current Location

Job Summary

Suntory is a global leader in consumer-packaged goods, renowned for producing and distributing a uniquely diverse portfolio of beverages, premium spirits, beer, wine, and wellness products throughout the world. With a history dating back to 1899, we are driven by a profound purpose: To inspire the brilliance of life, by creating rich experiences for people, in harmony with nature. At Suntory Beverage and Food, we boldly move forward together to realize the dreams of becoming a world-leading next-generation global beverage company, always together with Seikatsusha – you are an important part of this and here’s how your role helps us win.

Our Global Data Analytics team is building the next-gen centralized global lakehouse & analytics hub for the entire Suntory Beverage & Food International (SBFI). As a critical member of the team, this role will be expected to deliver end to end data analytics solutions, based on the input from Data Analytics Product Team. You will also oversee the entire solution architecture designs and lead the data governance, BAU Operation and advanced analytics team.

As part of the Suntory Beverage & Food Global Data Engineering Team, you are expected to help business departments to drive their data analytics roadmap with your Data Engineering & Analytics skill sets. The mission of the SBFI Data Engineering Team is to create competitive advantages for the SBFI through analytics and superior insights that enables better & faster decisions leading to sustainable business growth.

Job Responsibilities

• Architecture Design

• Provide the end-to-end solution design when receiving the requests from global/regional data product managers, the design may cover infrastructure, network, data extraction approach, ETL flows, and cube.
• Design the suitable data models (bronze, silver, gold and data mart) to address the business requirements
• Review the local solution designs and provide go/no-go decision.
• Explore the modern tech in the market and keep evolving the current architecture, you may engage with Microsoft or Databricks solution architects to evaluate new releases, features, or products

• Technical Development

• Hands-on development for the ETL Pipelines using Azure Stack, including but not limited to ADLS, Azure Data Factory, Logic Apps, Azure Databricks, Azure Automation, Azure Functions, Azure Key Vault, etc.
• Hands-on development for the centralized OLAP Cube (semantic model) using Visual Studio, Bsim Normalizer, Tabular Editor, Dax Studio.
• Design & manage the CI/CD pipelines to make sure smooth deployment from Dev, to QA, and Production environments for Databricks and Azure Data Factory.

• Advanced Analytics

• Design the end-to-end advanced analytics solutions, platforms and operation framework.
• Work with internal & external data scientists & consultants to develop the advanced analytics solutions, using Python, Pyspark, Azure machine learning studio, or H2O. The topics may be Revenue Growth Management, Route to Market, Demand Forecast, Customer Segmentation, etc.
• Provide consultancies or explanations to the senior leaders to help them understand the ML/Advanced Analytics logics.
• Provide support to build interactive chatbots or GenAI apps to enable insights & better data visibilities

• Operations

• You will have the direct reports of the operation managers.
• Guide operation managers to run the ITIL process, including CAB, Change Request, Incident, Service Request, Problem Management, etc.
• Develop long-term data operation framework and processes across data engineering, analytics enablement, and machine learning.

• Governance

• Design the end-to-end governance framework & platform (Unity Catalog & Purview)
• The governance scope will include:Global & Local Dataset, this is to define the clear boundary between global & local datasets so that they can be stored in correct environments
  Upper Stream details, this is to prevent ETL pipelines & logics get affected by any changes from upper stream systems
  Data Source management, this is to understand what types of data, which approach the team is using to extract from various data sources
  Lineage Management, this is to have a full view of the data life cycle, the lineage will cover data source – Bronze – Silver – Gold – DMT – PowerBI data set
  Data Quality Management, this is to make sure the data can be ingested into the lakehouse correctly & timely.
  Access Management, this is to make sure the access will not be over-granted to internal/external developers, data scientists, BA/PMS.
  

Skills and Experience

Key Developer and Architect Knowledge
• Azure Data Lake (Azure Data Lake Storage, Azure Key Vault, Azure Logic App, Azure Functions, Azure Automation, Azure Data Factory, etc)
• Databricks (Unity Catalog, Lakehouse, Workflows, Clusters/SQL Warehouse, Delta Sharing, Volumes, External Locations, Storage Credentials, etc)
• Machine Learning (Supervised, Unsupervised learning models, MLOps, etc)
• Power BI (DAX, Power Query, Power Pivot, Filters, Power BI Gateway, Data Access Mode like Direct Query/Import/Live Connection, Data Refresh Method, Power BI Dataset, PBI Workspace, Method to publish app and report, Various visuals chart types, etc.)
• Data Modelling Framework (Entity Relationship, Data Vault Schema, Star Schema, Snowflake Schema, Data Mart, Materialized View, Data Harmonization, etc.)
• SAP (S/4HANA, BW/4HANA, ECC, BPC, IBP, Datasphere, C4C)

Key Management Knowledge
• Agile Development Framework (backlog, sprint, scrum, user story & story point, epic, etc.)
• Stakeholder Reporting (Agile Development Sprint Report, Waterfall Project Report)
• ITIL Process (especially Change & Release Management)
• Design Documentation Management
• Code Management (CI/CD Pipeline)
• Waterfall Project Management
• Meta Data Management

Data Source System & FMCG Domain Knowledge
• Enterprise Systems such as SAP BW, SAP ERP, SAP IBP, Success Factors, Coupa, MES
• Commercial IT Systems such as SFA, DMS, TPM
• Retail & Consumer Measurement Service and Tools like Nielsen, IRI, Kantar, TRAX
• FMCG Domain Knowledge like RTM, RGM

Others
• Bachelor’s degree or above in data or IT related field.
• 10 years experiences in data platform management, operations, development
• Azure, Databricks, ITIL Certificates are preferred
• Strong communication and stakeholder management skills
• Good Time Management skills

About the Company

Founded in 1997, Trina Solar is the world-leading PV and smart energy total solution provider. On 10 June 2020, Trina Solar issues first A-Shares on Shanghai Sci-Tech Innovation Board, becomes the first PV product, PV system and smart energy company listed on the Shanghai Stock Exchange Science and Technology Innovation Board. Today, Trina Solar is actively accelerating its pace of globalization and the development of its global management team.

Description of Key Job Duties:

• Big Data Analytics: Responsible for processing and analyzing data from energy storage(BESS), power systems, photovoltaic (PV) and other renewable energy projects, ensuring data security, conducting economic feasibility analysis, and providing data support for projects.
• Cloud Platform Development: Participate in the development of the cloud platform, optimize system performance, and enhance data processing efficiency.
• Remote Fault Diagnosis: Provide expert-level fault diagnosis support through remote monitoring and big data analysis.
• Predictive Maintenance: Use big data analysis techniques to predict potential equipment failures and provide preventive maintenance alerts.
• Regional Technical Support: Provide technical support for designated regions, resolve electrical and battery-related technical issues, and offer solutions for data collection and analysis.
• Project Development: Identify and develop innovative projects with cutting-edge technology, ensuring high-quality completion within the specified time frame.

Skills Requirements:

• Education: Master’s degree or above.
• Big Data Analytics Skills: Proficiency in big data analysis methods and tools, capable of extracting valuable insights from large datasets. Familiar with tools such as machine learning, python, SQL,Java etc.
• Electrical and Battery Technology Background: Solid foundation in electrical engineering and battery technology, with the ability to independently solve related technical issues.
• Cloud Platform Development Experience: Familiarity with cloud computing technologies, with experience in cloud platform development and optimization.
• Communication and Coordination Skills: Ability to effectively communicate and coordinate with team members, clients, and partners to ensure the smooth progress of projects.
• Problem-Solving Skills: Strong analytical and problem-solving abilities, able to handle complex issues efficiently under pressure.
• Language Skills: Proficiency in both written and spoken English and Chinese, facilitating effective communication with domestic and international stakeholders.

Application Process:

If this is the opportunity you have been waiting for and you fit what we looking for, we welcome your application. The application process involves submitting your current resume via e-mail to [email protected]

Please note that only shortlisted candidates will be notified.

Nearest MRT: Labrador Park
Contract Duration: 11 Months
Working Hours: Monday – Thursday: 8.30am – 6pm, Friday: 8.30am – 5.30pm
Basic Salary: $2,800 per month

Responsibilities:

· Verify the accuracy and completeness of data received from various sources.

· Validate and identify discrepancies, errors or inconsistencies in data and if need, to check and/or clarify on missing or doubtful information.

· Compile and organise large datasets efficiently.

· Conduct site audits to gather additional data and verify information.

· Collaborate with team members to resolve data-related issues and improve data quality processes.

· Develop and maintain documentation outlining data verification procedures and standards.

· Assist in administration of claims submission.

· Communicate findings and recommendations clearly and effectively to relevant stakeholders.

· Assist in the development and implementation of data verification tools and processes.

Requirements:

· Minimum Diploma in Computer / Electrical Engineering (or equivalent)

· Proficient in Data Analysis software (e.g. Excel, SQL)

· Familiar with IT equipment (Servers and Storage) and energy efficiency technologies like renewable energy, hydrogen is an advantage.

· Immediate Starters are preferred (Not serving notice).

· Only Singaporeans

Interested candidates, please forward a copy of your resume to: [email protected].

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

Justin Lee
Registration No: R22107715
APBA TG Human Resource Pte Ltd
EA License: 14C7275

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of "Using technology to promote social progress, economic development and become a global customer preferred partner" and our concept of "Beyond your expectations", Beyondsoft is committed to provide our customers in countries along the "Belt and Road" with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

Our core business includes:

1. IT development services providing customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
2. New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
3. Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.

For more information, please visit www.beyondsoft.com.

RESPONSIBILITIES

• Identify and implement opportunities to enhance Data Centre Operations, focusing on production stability, stakeholder experience, and service quality.
• Identify automation opportunities within production processes to streamline operations and reduce manual intervention
• Timely escalation, communication, and resolution of major incidents, following the escalation matrix. Lead, drive, and facilitate investigation activities.
• Participate in troubleshooting system and network connectivity issues before escalation.
• Track production metrics and performance indicators to ensure operational targets are met.
• Ensure compliance with safety and regulatory standards in production.
• Perform other duties as instructed.

• Bachelor's degree in computer science/ information technology/ engineering or equivalent
• Minimum 3 years of IT experience as a Level 1 Production Operations Engineer.
• Strong analytical skills for process improvement and optimization.
• Technical proficiency in production systems with effective problem-solving capabilities.
• Experience with Data Centre facilities, including temperature/humidity monitoring systems, smoke detection, fire suppression systems, Uninterrupted Power Supply (UPS) units, CCTV, keypress units, etc.
• Familiarity with AWS tools such as CloudWatch and CloudTrail is advantageous.
• Able to work shift duties.

COMPANY DESCRIPTION

Beyondsoft International (Singapore) Pte. Ltd. was set up in 2007 and established as the regional headquarters for the Southeast Asia (SEA) and European markets in September 2015. Based on our vision of "Using technology to promote social progress, economic development and become a global customer preferred partner" and our concept of "Beyond your expectations", Beyondsoft is committed to provide our customers in countries along the "Belt and Road" with comprehensive solutions and products and creating commercial value for customers to realizing continuous businesses development.

Our core business includes:

1. IT development services providing customers with IT consulting, software research and development, software and hardware testing, system integration and operation and maintenance, data analysis and other services;
2. New retail solutions and products through intelligent products, helping small and medium-sized enterprises (SMEs) realize the digital transformation of their daily operations;
3. Internet of Things (IoT) platform and solutions comprehensive use of IoT, artificial intelligence, big data, cloud computing and other technologies to provide IoT solutions for intelligent upgrades in cities, parks, buildings and industries, to create a smart future.

For more information, please visit www.beyondsoft.com.

RESPONSIBILITIES

• Identify and implement opportunities to enhance Data Centre Operations, focusing on production stability, stakeholder experience, and service quality.
• Identify automation opportunities within production processes to streamline operations and reduce manual intervention
• Timely escalation, communication, and resolution of major incidents, following the escalation matrix. Lead, drive, and facilitate investigation activities.
• Participate in troubleshooting system and network connectivity issues before escalation.
• Track production metrics and performance indicators to ensure operational targets are met.
• Ensure compliance with safety and regulatory standards in production.
• Perform other duties as instructed.

• Bachelor's degree in computer science/ information technology/ engineering or equivalent
• Minimum 3 years of IT experience as a Level 1 Production Operations Engineer.
• Strong analytical skills for process improvement and optimization.
• Technical proficiency in production systems with effective problem-solving capabilities.
• Experience with Data Centre facilities, including temperature/humidity monitoring systems, smoke detection, fire suppression systems, Uninterrupted Power Supply (UPS) units, CCTV, keypress units, etc.
• Familiarity with AWS tools such as CloudWatch and CloudTrail is advantageous.
• Able to work shift duties.

looking for professional and experienced accounts personal .

Able to handle accounts , payroll , invoicing, credit notes , clients and vendors querries.

financial reports , P&L .

Join Our Team at Thatz International Pte Ltd

Are you ready to embrace the new opportunities in the ever-evolving landscape of technology? At Thatz International Pte Ltd, we are committed to identifying exceptional talents to drive the growth of our Next-Generation ICT Engagement and Consultancy (Thatz2.0) or Outsourcing business in the new norm. If you're passionate about leveraging technology to make a difference, we want to hear from you!

With a track record of success since 1998, we prioritize Quality, Speed, and Technology to ensure the perfect match between candidate and job opening.

Our CORE VALUES:

· Integrity

· System

· Consistency

· Forward Looking

· Humanity, and

· Environmental Friendly

L1 Data Center Engineer

Job Title: L1 Data Center Engineer

Work Location: Downtown Core, Singapore

Job Type: 1 year contract, subject to renewal

About the Role:

The Data Center Engineer will oversee the optimal performance and maintenance of Data Center and ELV operations, including network cabling, IT hardware installation, and environmental monitoring. Your role includes managing Data Center infrastructure, responding to incidents, and ensuring compliance with service standards and agreements.

Primary Responsibilities:

· Perform facilities management related tasks in relation to the Data Center and/or Extra-Low Voltage (“ELV”) operations, including but not limited to structured network cabling, cable tracing, patching of cable and rack management, infrastructure and Data Center capacity planning.

· Responsible for the design and installation of structured network cabling, cable tracing, patching of cables and rack management in respect of infrastructure cabling used by the surveillance network.

· Responsible for the installation, removal, testing and labeling of all cross-connect cables (for e.g., cat6 cables, coax cables and fiber cables etc.).

· Responsible for the installation, re-location and removal of cabinets, racks, devices and other IT equipment inside the Data Center and ELV rooms.

· Responsible for the installation of IT hardware, including network switches, servers, shelves, intelligent Power Distribution Units (“iPDU”), rails, cable management and other IT equipment in the Data Center and ELV rooms.

· Maintain the cleanliness of the Data Center and ELV rooms.

· Liaise with the Facilities, Security and Surveillance teams to ensure optimal operation of electricity, heating, ventilating, air-conditioning and monitoring environments within the Data Center and ELV rooms.

· Responsible for the configuration and management of Data Center equipment, including IP Kernel based Virtual Machine, iPDU and Data Center Infrastructure Management (“DCIM”) software.

· Maintain and update DCIM software to the latest version.

· Monitor and manage the physical health of the network and server environments.

· Follow established processes used by the Data Center operations (“DCO”) team, participate in regular process review and maintain service standards as defined in the relevant Operational Level Agreements/ Service Level Agreements.

· Respond to priority 1, 2 and 3 incidents following the standard incident response procedures and assist with the resolution of such incidents.

· Manage and handle ticket management and queue monitoring (i.e. incident, service and change requests) for network and systems queues.

· Providing project support, including but not limited to updating timesheets, and updating and maintaining DCO team documentation.

· Any other ancillary tasks or works as and when requested and assigned by the Company.

Job Requirements:

· Diploma or Bachelor’s degree in Computer Science, Information Technology, or related field.

· Minimum of 3 years’ hands-on experience in providing Data Center support.

· Minimum of 1 years’ experience in providing Windows and Unix support.

· Ability to work independently with minimal supervision.

· Able to communicate messages clearly and concisely.

· Ability to maintain high-quality performance and constantly deliver results in a timely manner.

· Required to undergo Casino Regulatory Authority (CRA) checks.

How to Apply:

Ready to join Thatz? Send your resume to [email protected].

Shortlisted candidates will be contacted.

Equal Opportunity Employer:

We are committed to fair employment practices and consider all applications based on merit. We encourage diversity and do not discriminate based on race, religion, gender, or any other characteristic.

Data Protection:

Your privacy matters to us. By applying to this job advertisement, you consent to the collection, usage, and/or disclosure of your personal data in compliance with the Personal Data Protection Act.

Our Associate Recruitment Company:

Established in the Year 2000, Thatz Resources Pte Ltd(Agency License No. 04S4557) has been dedicated to matching top IT talent with our clients’ needs across all levels.

Stay Connected:

Follow us on Instagram, Facebook, LinkedIn, and Telegram to stay updated on our latest offerings and industry insights. Join our online community to explore endless possibilities with us!

Instagram: https://www.instagram.com/thatz_international

Telegram: https://t.me/EmployMebyThatz

Facebook: https://www.facebook.com/profile.php?id=100091735044533

LinkedIn: https://www.linkedin.com/in/thatz-recruiter-25234548

Stay Safe and Healthy!

Take care of yourself and those around you.

Responsibilities

• Build and improve machine learning and analytics platform.

o Apply cutting edge technologies and tool chain in big data and machine learning to build machine learning and analytics platform.

o Keep innovating and optimizing the machine learning workflow, from data exploration, model experimentation/prototyping to production.

o Provide engineering solution and framework to support machine learning and data-driven business activities at large scale.

o Perform R&D on new technologies and solutions to improve accessibility, scalability, efficiency and us abilities of machine learning and analytics platform.

• Work with data scientists to build end-to-end machine learning and analytics solution to solve business challenges.

o Turn advanced machine learning models created by data scientists into end-to-end production grade system.

o Build analytics platform components to support data collection, exploratory, and integration from various sources being data API, RDBMS, or big data platform.

o Optimize efficiency of machine learning algorithm by applying state-of-the-art technologies, i.e. distributed computing, concurrent programming, or GPU parallel computing.

• Establish, apply and maintain best practices and principles of machine learning engineering.

o Study and evaluate the state of the art technologies, tools, and frameworks of machine learning engineering.

o Contribute in creation of blueprint and reference architecture for various machine learning use cases.

o Support the organization in transformation towards a data driven business culture.

Requirements

• PhD/Masters/Bachelors in Computer Science, Computer Engineering, Statistics, Applied Mathematics, or related disciplines.

• 5+ years of experience in software engineering or DevOps automation or data engineering

• Excellent understanding of software engineering principles and design patterns.

• Excellent programming skills in either Python or Java.

• Hands-on experience in containerization/ virtualization platforms, e.g. Docker/Kubernetes.

• Exposure to data science and machine learning technologies and methodologies.

• Good working knowledge of high performance computing, parallel data processing, and big data stack, e.g. Spark and Hadoop/Yarn.

• Experience to one or more commercial / open source data warehouses or data analytics systems, e.g. Teradata, is a big plus.

• Experience to one or more NoSQL databases is a big plus.

• Experience or Cloudera Data Science Workbench, is a big plus.

• Passion about machine learning and data-driven intelligence system.

• Excellent communication and presentation skills in English.

• Team player, self-starter, ability to work on multiple projects in parallel is necessary.

• Experience working in multi-cultural environments

If you are a data professional passionate about growing and empowering a team of analysts to enhance data-driven decision-making across the business, we’d like to meet you!

In this role, you will have the opportunity to make an impact solving business problems and influencing decisions on products used by millions of customers every day. Through hiring, coaching, and mentoring you will develop a team of data analysts that can independently and confidently deliver clear business value through high quality advice, analytics, and dashboards.

What you’ll be doing

As a Data Analytics Lead, your responsibilities will include:

• Managing, hiring, leading, and growing a group of 2-4 data analysts
• Identifying skill and knowledge gaps within your team and filling them through a combination of training, coaching, mentoring, and shadowing
• Building a deep understanding of the business strategy and challenges of stakeholders in your domain, and collaborating to deliver a clear data strategy
• Increasing customer satisfaction in the data-analytics services for your domain
• Prioritizing data-analytics initiatives that deliver the most business value
• Creating standards and consistency in processes, guidance, tools, quality, and outputs—both within your sub-team and beyond—by collaborating with other data-analytics leads
• Partnering with Data Engineering to improve the data quality, consistency, reliability, and documentation of data pipelines, tools, and processes
• Maintaining a strong relationship with other Data Analytics domains, ensuring we identify synergies, avoid duplicated effort, and support each other as needed
• Contribute to the planning and execution of data growth within the organization—as a group of people, as a partner to other business units, and as an enabler to support others to self-serve their data and analytics needs

What you’ll need to succeed

We seek candidates with most, or at least some, of the following skills and experience:

• Leading a team of at least two people overseeing performance reviews, 1:1s, mentoring, career plans, etc.
• Delivering business value: Combining your big-picture vision, solid business acumen, and clear prioritization alongside sound analytical skills
• Relationships and influencing others: Able to make connections and build effective relationships at a strategic level with key stakeholders and data engineering partners within the data organization
• Requirements gathering: You lead by example in truly understanding stakeholders’ strategy and challenges to collaborate and define the insights they need (vs want)
• Data analysis: You consistently deliver high quality analytics that build and tell a story, leading to actionable recommendations for the business
• Tools & platforms: You’ve worked with a range of analysis tools such as Tableau, Snowflake, MixPanel, Google Analytics with up to date knowledge of potential new ones to explore
• Defining processes and standards: For your team to drive consistency and quality
• Excellent communication skills: You are able to engage people across the company at all levels.
• Building a culture of collaboration: Where your team supports each other to grow through mutual mentorship

3 best things about this role

1. Data driven culture: Lead a Data Analytics team at a company where everyone is hungry for data! You won’t need to knock on people’s doors persuading them to look at data, everyone is asking for it!
2. Empowerment and authority: Your objective is to help impact the priorities for your business domain. Beyond that, while we’ll have some guardrails in place, you’ll still have the autonomy to determine how you approach and solve problems.
3. Generating meaningful impact: Use your management and data skills to protect security, privacy and online freedoms. Do so at a massive scale for millions of active paying customers worldwide.

The COMO Group represents an integrated approach to living well, grounded in a celebration of diversity and a deep respect for authenticity. The Group’s businesses extend across hospitality (COMO Hotels and Resorts), fashion (Club21, Kids21, Dover Street Market Singapore), wellness (COMO Shambhala), organic living and specialty foods (COMO Dempsey, Culina and SuperNature) and philanthropy (COMO Foundation)

Job Summary

The Reporting and Data Coordinator Intern is responsible for generating and delivering accurate reports, able to learn and utilize SAP Business Intelligence tools to develop reports. Proficiency in Excel is essential for performing detailed data to create comprehensive reports.

Responsiblities:

• Generate weekly and monthly management reporting
• Develop and generate reports using SAP Business Intelligence tool
• Collaboration: Work closely with other departments to understand their data needs and generate information from Data warehouse

Job Requirement:

• Proficient in Excel
• Keen eye for detail
• Reliable and able to work independently and as part of a team
• Strong communication skills and the ability to collaborate effectively

ABOUT SEMBCORP INDUSTRIES

Sembcorp Industries (Sembcorp) is a leading energy and urban solutions provider, led by its purpose to drive energy transition.

Headquartered in Singapore, Sembcorp delivers sustainable solutions to support energy transition and urban development by leveraging its sector expertise and global track record.

Sembcorp has a balanced energy portfolio of 21.2GW, with 14.4GW of gross renewable energy capacity across 10 countries*.

Its urban development projects span over 14,000 hectares across Asia and have generated over 377,000 employment opportunities and attracted close to US$50 billion of investment capital.

Sembcorp is listed on the main board of the Singapore Exchange. It is a constituent stock of FTSE Russell Index, MSCI Singapore Index, Straits Times Index as well as sustainability indices including FTSE4Good Index, iEdge SG ESG indices and several MSCI ESG indices.

For more information, please visit www.sembcorp.com.

PURPOSE AND SCOPE

We are seeking a highly skilled and motivated Key Account Manager to manage long-term and short-term energy solutions to data centre clients, including hyperscalers and colocation players. The ideal candidate will possess strong sales acumen, excellent communication skills, and a deep understanding of energy contracts and the data centre industry. This role will involve not only sales but also operational responsibilities such as contract management, invoicing and submitting proposals to clients’ tenders or request for proposals (RFP) for short term energy purchases.

KEY ROLES AND RESPONSIBILITIES

Sales Management:

• Develop and execute strategic sales plans to achieve long-term and short-term sales goals
• Identify and engage with key decision-makers within hyperscalers and colocation clients
• Build and maintain strong relationships with existing and potential clients in the data centre industry, as well as relevant governmental stakeholders
• Conduct market research to identify new business opportunities and trends within the data centre industry
• Prepare and deliver compelling sales presentations and proposals tailored to client needs
• Structure, negotiate and close high-value energy sales agreements including conventional thermal, renewables, and low carbon solutions, to meet or exceed sales targets
• Prepare gate papers for approval of revenue contracts in compliance with internal policies
• Prepare commercial proposals to submit to clients for tender or RFPs of energy supply

Account Management:

• Serve as the primary point of contact for key accounts, ensuring high levels of customer satisfaction
• Conduct regular account reviews to assess client needs and ensure the delivery of value-added services
• Develop and implement account strategies to maximize revenue and client retention
• Address and resolve any issues or concerns raised by clients promptly and effectively

Operational Responsibilities:

• Manage the contract lifecycle, including drafting, reviewing, negotiating, and executing contracts
• Ensure all contractual obligations are met and compliance with Group policies and regulations
• Oversee the invoicing process, ensuring accuracy and timeliness in billing clients
• Collaborate with internal teams, such as finance, legal and portfolio management, to streamline operational processes and structure pricing
• Maintain detailed and organized records of all client interactions, contracts, and transactions

Reporting and Analysis:

• Monitor and report on sales performance metrics, providing insights and recommendations for improvement
• Prepare regular reports and presentations for senior management on account status and sales progress
• Analyze market trends, client feedback, and the competitive landscape to inform strategic decisions

QUALIFICATIONS & EXPERIENCE

• Proven experience in sales and account management, preferably within the data centre or power and utilities industries
• Relevant certifications such as ISCC RFNBOs would be advantageous
• Strong understanding of hyperscalers and colocation providers
• Excellent negotiation, communication, and interpersonal skills
• Ability to manage multiple priorities and work effectively under pressure and tight timelines
• Proficiency in contract management and invoicing processes
• Strong analytical skills with a keen attention to detail
• Proficient in using CRM software and other sales management tools

SKILLS, COMPETENCIES AND PREFERRED CHARACTERISTICS

• Experience with energy contracts and long-term and short-term sales cycles.
• Familiarity with data centre infrastructure, services and growth drivers
• Strong problem-solving skills and the ability to think strategically
• Self-motivated with a strong sense of initiative and ownership
• Ability to work collaboratively in a team-oriented environment

At Sembcorp, our shared corporate behaviours underpin all the work that we do in building a sustainable future:

• Institution-first Mindset – Put the interest of the Group ahead of individual interests.
• Collaboration – Deliver through collaborating across markets, businesses and functions.
• Accountability – Hold team and self accountable to deliver on our commitments.

We are on the lookout for a Junior to Mid-level Data Scientist - Machine Learning Engineer who will play a key role in enhancing our Machine Learning capabilities, focusing on innovative solutions for insight generation and analytics. As a burgeoning hedge fund startup with a clear vision and commitment to the Asian market. This role is not just about technical expertise but also about aligning with our forward-thinking vision and being at the forefront of shaping our AI strategy.

Data Analysis & Modeling:

○ Develop, implement, and maintain predictive models using traditional machine learning and deep learning techniques.

○ Conduct thorough data analysis to extract actionable insights and perform time series analysis.

ETL & Data Management:

○ Design and develop efficient ETL pipelines to process and manage large volumes of financial data.

○ Ensure data integrity and accuracy across various data sources.

Cloud Computing:

○ Utilize Cloud services to deploy and manage machine learning models in a scalable and reliable manner.

○ Optimize Cloud resources for performance and cost-effectiveness.

End-to-End Solution Development:

○ Engage in the complete lifecycle of model development, from data collection and preprocessing to model deployment and monitoring.

○ Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.

Innovation & Creativity:

○ Explore and implement innovative techniques to solve complex financial problems.

○ Stay current with the latest advancements in machine learning and data science to continually improve and innovate.

Result-Oriented Approach:

○ Focus on delivering high-impact results.

○ Communicate findings and recommendations effectively to stakeholders.

Qualifications:

● Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.

● 3-5 years of hands-on experience in data science and machine learning.

● Proficiency in Python and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).

● Experience with AWS/GCP/Azure services (e.g., S3, EC2, Lambda, SageMaker, Vertex AI, BigQuery).

● Strong understanding of ETL processes and tools.

● Demonstrated expertise in traditional machine learning algorithms and deep learning techniques.

● Solid experience with time series processing and analysis.

● Excellent problem-solving skills and a creative mindset.

● Strong communication and collaboration skills.

Operator, DC Operations:-

Key Responsibilities:-

1. Processing vendor/visitor DC security clearance.

2. Escort vendor/visitor into DC.

3. Escalation and attending to alert notification (after office hours).

4. Support monthly, quarterly, yearly maintenance and Building

management maintenance, E.g. power shutdown, aircon, UPS.

5. Support and coordinate for hardware disposal, E.g. Harddisk, media,

backup tapes.

6. Load/Unload backup tapes and prepare to send off-site.

7. Maintain and update hardware inventory and rack system.

8. Conduct daily checks to ensure DC temperature at acceptable level,

unusual blinking light and sound generated from devices.

9. Raise incident in ITSM and monitor till closure.

10. Prepare daily/monthly report to customer.

Requirements and other details:-

Mandatory Skills: Enterprise Monitoring

Contract Duration: 12 months.

Security clearance *: CAT 2

24 * 7 standby:Yes

Shiftwork:No

Monthly Allowances: Yes

Performance / Completion Bonus: NA

Data Analytics and Governance

Summary

· The team primarily handles client outreach and document review within the AML KYC space.

· Two horizontal teams: one focused on governance and another on planning analytics and governance.

· Current analytics and reporting are done by one primary person in Singapore, creating time zone challenges.

Responsibilities:

· Role involves understanding data, creating executive reports, automating processes, and maintaining standard reporting.

· Creation and maintenance of dashboards and reporting tools to track KPIs within AML processes.

· Data includes client attributes, process stages, risk ratings, and other metrics

· Weekly, Monthly, and ad hoc reporting across teams

· Interfacing with regional leaders to determine scope and structure for reports, dashboards, and metrics

· Interface frequently with Singapore, London, and US teams

Initial client responsibilities:

· Cross-train with team on various business controls functions to support lines of business.

· Transition knowledge base and reporting capabilities to provide global coverage that includes:

o Re-baseline population

o Capacity planning / headcount

o Revenue / CV dashboards

· BAU and Ad-hoc reporting for Restrictions / Closures / Extensions

o Working with regional leaders to scope and build reports for restrictions and closures globally.

o Creating new views using Tableau and Excel to provide accurate, ongoing reports for the organization

o Modify dashboards as requested

· Transition and take over M&I defect reporting

o Accurate identification, tracking, updating, and reporting of defects

o Manage restrictions and closures related to M&I processes, ensuring compliance and timely communication with stakeholders.

o Collaborate with regional leads to address and resolve M&I issues, implementing continuous improvement initiatives.

· Refresh population re-baseline – currently looking at full population against new standards to scope and plan from 2024 – 2028. Creating reports to be presented to executive leadership teams.

· Ongoing process improvements

· Tools used: Excel, SharePoint, Tableau, Client reporting and workflow tools.

Role:Data centre Operation

Job Description & Requirements

Responsibilities

Rack, Build, cable, configure, and provision Intel and AMD Servers

Rack, cable, and deploy Cisco Layer 2 networking equipment

Troubleshoot, test, quality assurance of Server hardware

Professionally resolve hardware issues via trouble ticket

Desired Experience:

1 to 3 Years of experience

Experience in PC Hardware and Server Hardware (on Job training provided)

Operating System Installation - Windows Server, Linux, Unix

PC Assembly and HW troubleshooting

Understanding of basic hardware troubleshooting and applying logical methods of resolution

Basic Networking Knowledge

Rack, cable, and deploy Cisco Layer 2 networking equipment a plus

Experience with RAID levels is a plus

About the Opportunity

This role will support the Corporate Development within Alliance Healthcare Group and its subsidiaries.

What You'll Be Doing

• Data analysis to support business decision-making, strategic development and operational requirements.
• Produce dashboard and reports to provide insights into historical data, trending and predictive trends.
• Support data cleansing.
• Support on Tableau design dashboard.

Key Responsibilities

• Support the data analytics team to provide insights on our data, to identify trends and opportunities.
• Suggest solutions based on these insights to support business decision.
• Develop data mart, data models that can support data analysis to draw insightful information, predictive modelling and trend analysis, enabling us to proactively meet client needs and provide insights for active panel clinics management and portfolio management.
• Design and develop dashboard frameworks and reporting view to achieve efficiency in reporting for routine standard reports.
• Collaborate closely with internal teams to understand insurers’ or clients’ requirements and business agreements, prepare claims analysis, and identify opportunities for improving efficiency of report submission.
• Utilize Tableau and any other provided analytical tools to support the reporting requirements for clients/insurers/brokers.

What We Are Looking for

• Ungraduate in BsC Data Analytics or relevant discipline.
• Ability to use programming languages such as R, Python, SQL and BI tools such as Tableau and Power BI.
• Advanced knowledge with Microsoft Office Suite, especially in Microsoft Excel and use of Macros.
• A good team player, able to work closely with multiple operational functions of the company.
• Written and verbal communication skills.

We regret to inform that only shortlisted applicants will be notified for an interview.

To learn more about our Organization, please visit https://alliancehealthcare.com.sg.