Join our team as a Telemarketer where you will engage potential clients over the phone, identify their needs, and promote our products and services. You will play a crucial role in achieving individual sales targets while receiving comprehensive training and support.

Job Responsibilities:

• Conduct outbound calls to prospective clients to sell digital marketing solutions
• Understand and articulate our services' features, prices and benefits
• Identify customer needs and suggest appropriate solutions
• Follow up with leads and maintain ongoing communication to nurture relationships and drive conversions
• Arrange meetings with clients and demonstrate how our services can meet their needs
• Keep records of calls and record useful information
• Achieve monthly sales targets and goals

Job Requirements:

• Proficiency in Microsoft Office applications
• Previous experience in B2B telemarketing or sales preferred
• Self-motivated and goal-oriented with a passion for achieving results
• Proficiency in speaking to English and Chinese customers

Job Remuneration:

• Hourly rate: SGD 8 - 13
• Attractive incentives will be given
• Opportunities for growth and advancement

Working Days/Hours:

• Flexible part-time hours, min 3 days/week, 5 hours/day

Interested candidates, please email your updated resume to [email protected]. We look forward to receiving your application.

Only shortlisted candidates will be notified.

Job description

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

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

WHAT DO WE DO:

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

GET TO KNOW US:

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

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

- Good student mentality

- Team player- Enthusiast and positive!

- Charming smile

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

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Technology Solutions Office is looking for Data Analyst

Internal Code: A24040

What will you do?

• You will collaborate with stakeholders to understand their strategic objectives and identify opportunities to leverage data and data quality.
• You will design, develop and operate modern data architecture approaches to meet key business objectives and provide end-to-end data solutions.
• You will be responsible to create, design and develop intricate data processing pipelines.
• You write clean and iterative code for continuous delivery practices to deploy, support and operate data pipelines.
• You will develop data models by selecting from a variety of modeling techniques and implementing the chosen data model using the appropriate technology stacks.

What are we looking for?

• From 3 to 5 years of experience working as a data analyst or related role.
• Hands-on experience in Tableau, Power BI, AWS Glue, AWS RedShift, QlikSense
• Proficiency in programming languages such as Python, Java or Scala.
• Track record in implementing systems using Hive, Scala will be preferred.
• Strong in data modelling, data processing frameworks’ tools such as Hadoop, Spark, SQL is an advantage.
• Good understanding of analytics and data warehouse implementations
• Experience with Cloud Technologies is a plus.
• Good understanding and completion of projects using Agile methodology.
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.
• Bachelor’s in Computer Science, Engineering, or a related field.

What do we offer?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice (https://www.activate.sg/privacy-policy) to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

• Working days: 5 days (Mon - Fri)
• Working hours: 10am - 6pm
• Location: Bukit Merah [Near Tiong Bahru MRT & Redhill MRT]
• Salary: $2000 - $2400

Job Responsibilities

• Manage communication between Sales & Marketing team to ensure all are aligned with product delivery strategy.
• Build rapport with both internal and external stakeholders to ensure projects are delivered on time.
• Conduct internal and market analysis to identify key areas of growth for new products.
• Help build and improve resilient internal processes that will allow the business to scale quickly.
• Issuing invoices and airway bills to customers and counterparts.
• Assist in some packing and labelling for products delivery
• Reply to customer inquiries via email and on social media platforms.

Requirements

• Must have knowledge of appropriate software including Ms word, excel, power point, google etc.
• Possess at least Nitec education

Leong Jia Qi Reg No. : R24124746

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

As a Data Engineer, you will be required to:

• Perform data extraction, cleaning, transformation, and flow.

• Design, build, launch and maintain efficient and reliable large-scale batch and realtime data pipelines with data processing frameworks.

• Integrate and collate data silos in a manner which is both scalable and compliant.

• Collaborate with Project Manager, Frontend Developers, UX Designers and Data

• Analyst to build scalable data-driven products.

• Be responsible for developing backend APIs & working on databases to support the applications.

• Bridge the gap between engineering and analytics.

• Work in an Agile Environment that practices Continuous Integration and Delivery

• Work closely with fellow developers through pair programming and code review process

EXPERIENCE AND SKILLS NEEDED

As a Data Engineer, you need to bring to the team:

• Experience with building production-grade data pipelines, ETL/ELT data integration with proper documentation

• Proficient in general data cleaning and transformation (e.g. pandas, pysparks, SQL)

• Knowledge in database design and various databases (e.g. structured dbase(postgres, mysql etc and unstructured -mongodb etc)

• Knowledge about system design, data structure and algorithms

• Knowledge with rest api and web requests/protocols in general

• Comfortable coding in at least 2 scripting language (eg. Python/SQL)

• Comfortable working in both windows and linux development environments

• Interest in data engineering in a big data environment using Cloud

• platforms (i.e. AWS, Azure, Google Cloud)

• Familiar with data modelling, data access, and data storage infrastructure like Data

• Mart, Data Lake, and Data Warehouse.

• Proficient in creating comprehensive data dictionaries to ensure clear and consistent data definitions.

• Skilled in designing Entity-Relationship Diagrams (ERDs) to visually represent data models and relationships.

• Capable of collaborating with stakeholders to understand business processes and develop effective data solutions.

• Familiar with BI Tools such as Tableau

• Familiar with Docker containers

Job Summary:

We are seeking a meticulous and data-driven Data Analyst to support our contact center operations by extracting, analyzing and presenting data to drive insights and inform business strategies. In this role, you will work closely with various teams to ensure accurate data reporting, develop automated solutions and provide actionable insights to enhance contact center performance.

Responsibilities:

• Extract, clean, and analyze data from multiple sources to generate daily, weekly, and monthly reports.
• Develop and execute SQL queries to retrieve information efficiently.
• Fulfill ad-hoc data requests from projects and management to meet business needs.
• Collaborate with developers to automate reporting processes, enhancing data availability and accuracy.
• Liaise with projects on data-related queries and issues, ensuring clear and timely communication.
• Analyze contact center performance metrics, including call volume, response times and customer satisfaction scores.
• Develop and maintain dashboards to monitor Key Performance Indicators (KPIs) and improve operational visibility.
• Identify trends and patterns in data to provide actionable insights and support strategic decision-making.
• Collaborate with management and cross-functional teams to deliver data-driven recommendations.
• Assist in implementing process improvements based on data analysis and findings.
• Ensure data integrity and accuracy across all reports and dashboards.
• Contribute to demand forecasting and capacity planning by analyzing historical data trends.
• Stay informed on industry best practices and emerging technologies in data analytics.
• Perform additional duties as assigned, contributing to the overall data strategy and operations.

Qualifications and Skills:

Education: Bachelor’s degree in Business, Computer Science, Mathematics, Data Analytics, or a related field.

Experience: 1–3 years of experience in data analysis and reporting, preferably within a contact center environment.

Technical Skills: Proficiency in SQL, with experience in writing complex queries. Experience with data analysis tools (Excel, SQL, Python) and data visualization tools (Tableau, Power BI, AWS QuickSight). Demonstrated ability to build reports and dashboards that effectively communicate key metrics and trends.

Soft Skills: Strong communication and presentation skills, with the ability to convey complex insights to non-technical stakeholders. Proactive, detail-oriented, and capable of working independently with minimal supervision. Excellent time management, critical thinking, and problem-solving abilities.

Additional Skills: Familiarity with statistical analysis, modeling, and industry best practices in data integrity.

Preferred Qualifications:

Experience working in a contact center environment or with contact center analytics.

Knowledge of process improvement methodologies and capacity planning.

• Experience in data engineering, ETL, and software development, specializing in Oracle PL/SQL, Informatica, and Business Objects.
• Skilled in data integration, migration, and transformation for complex business environments.
• Strong knowledge in business intelligence and data warehousing with experience across banking and finance domains.
• Ability to analyze and optimize data flows to enhance efficiency and reduce costs.
• Responsible for Control-m design and job scheduling
• Provide in-depth analysis and insights for better and efficient decision making of pricing, inventory and purchase requisitions
• Closely worked with business analysts to understand the requirements, design, develop, test, and deploy the ETL
• Develop the data layer using Informatica and Oracle PLSQL

The Solution Architect will be responsible for the design and thought leadership throughout the full life cycle of a customer's journey. The individual will have the opportunity to be engaged from pre-sales activities focusing on the development of leads, initial scoping, high level solution designing, estimation and statement of work generation. Then within the delivery phase you will work closely with our delivery teams to bridge the gap between the high level solution design and low level solution design.  Supporting the delivery implementation, providing guidance and leadership. Besides the customer engagements you will look to use your experience and that of the large Solution team in assisting in the creation and design of our next generation of products and services, allowing you to develop truly impactful solutions which you will help to take to market working with internal teams and partners.

Job Requirements

• Pre Sales Activities: Work with the Sales and Delivery Team to support the development of leads, estimates, resource planning, ultimately resulting in the production of a statement of work for the customer. 
• Solution Design: Creation of the high and low level designs and architecting systems in a cloud native fashion on any of the 3 major cloud providers (AWS, GCP, Azure). Provide review and quality assurance across the team’s output. 
• Collaborate with delivery: Work with the DevOps, Data Engineering and Application Development delivery teams to bridge the gap between the solution designs ensuring that delivery of the solutions are inline with the requirements of the customers. 
• Solution Development: Taking insight and feedback from Sales, Client Partners and industry to develop new solutions and products which will help benefit our customers. Then working with the engineering teams and in collaboration design and delivering these new solutions which can be taken to market. 
• Data Solutions Subject Matter Expert: Act as an authoritative source for both internal and external queries in the space of “Data Solutions” focusing on  Data Migrations, ETL Pipelines, Data Modelling and AI/ML practices.
• Continuous Learning: Set aside the time to develop skills and knowledge to broaden your experience and understanding of the Cloud and Data space. Work to share this knowledge internally and externally through evangelism, utilizing different forums and mediums, 

Job Description

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

Make an Impact by

• Design and develop Mechanical electrical systems for new and existing data centers, including but not limited with ACMV system, Hydraulic system and thermodynamics refrigeration cycle, Fire Protection System, Plumbing & Sanitary System, etc.
• Perform various engineering calculation (i.e. cooling load calculation, hydraulic calculation, etc.), equipment sizing (i.e. chiller, pump, cooling tower, air handler) and selection and procurement of equipment ensuring it meets safety standards and performance requirements.
• Collaborate with the core team to understand, develop and update the data centre mechanical designs, starting from basis of design (BOD), feasibility study, concept and detailed design development to issue for constructions (IFC) documents, for new data centre project buildouts and major infrastructure upgrades to all levels of testing and commissioning works.
• Perform as Mechanical engineer subject matter expert to work with consultants during concept design, detailed design, procurement, bidding, SAT, delivery, and installation on site. Identify and resolve issues raised by the cross-functional teams.
• Update and maintain the internal design specifications, drawings, and standards in accordance with the latest configurations and including all 'lessons learned' in relation to all equipment. Perform design and equipment submittal review for new Data Centers.
• Liaise with internal business units and external customers for technical requirement to translate into executable plan for implementation by consultant and/or contractor.
• Knowledgeable in Building Management System/DCIM, able to understand system architect and point schedule. Experience in handling BMS/DCIM enhancement project.
• Evaluate the design& construction and operation of mission-critical facilities and associated MEP components.
• To Participate and Review Data Center MEP Design and other necessary disciplines for new data center builds and data hall fitouts.
• To continually find ways to collaborate and break new ground to enhance MEP design to meet future needs. Develop innovative solutions.
• Own the conceptual design for existing data center upgrades and design-solutions, which add capacity, improve availability, increase efficiency and sustainability.
• Support the DC Engineering FM team to become a Subject Matter Expert and understand how to overcome design limitations and risks.
• Interface with internal stakeholders to promote standards that maintain consistency and reliability in services delivered.
• Liaise and assist Operation team to identify/understand Electrical System issues and provide solutions.
• Perform technical design reviews and proposal for data centre first of kind systems and equipment.
• Review data centre commissioning scripts to ensure they accurately test all modes of operations. Witness key commissioning tests on site.
• Conduct site inspection and work with onsite field engineers, as well as provide engineering evaluations, mechanical systems audits, and start-up as needed.
• Continually maintain positive and collaborative working relations with partner teams, vendors, teammates, and internal customers.

Skills for Success

• Bachelor’s degree in Mechanical Engineering or relevant discipline.
• Minimum of 5 years of experience in designing and maintaining mechanical systems for data centers or similar critical facilities
• Knowledge of large-scale mission critical facility’s Electrical infrastructure systems.
• Experience with fast-track design/build projects and or multiple significant upgrade projects.
• Fundamental knowledge in of thermodynamics, fluid mechanics, and heat transfer principles, fire protection and plumbing and sanitary system.
• Ability to incorporate Renewable Energy System to the Distribution Network and strong understanding of Mechanical codes and standards.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Attention to detail and a commitment to safety.

Rewards that Go Beyond

• Full suite of health and wellness benefits
• Ongoing training and development programs
• Internal mobility opportunities

Your Career Growth Starts Here. Apply Now!

ASTEK has been providing IT and Engineering solutions for some of the world’s largest industrial and services groups for more than 35 years with 7200 passionate experts in 22 countries throughout Europe, APAC, Middle East and the Americas

Currently, we are looking for Data Management Specialist which would be based in Singapore

Responsibilities and requirements

• Possess a degree in Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution with 1 to 3 years of relevant IT working experience
• Experience in managing data reconciliation/quality checks/dashboarding (implementation, monitoring and troubleshooting
• Ensure that the data issues are actively detected, tracked, and fixed without breaching SLA
• Hands on experience in Snowflake and Tableau
• Experience in performing User Acceptance Testing (UAT)
• Experience in in providing documentation support, e.g. in technical/functional specifications
• Able to work closely with business end-users, data vendors, data product team and data engineers to facilitate ingestion of new data and provide support existing data while adhering to our established data framework processes
• Able to provide clear requirements and collaborate with data engineers to enable robust and scalable design of data solutions for data ingestion and management across our diverse range of datasets

Artefact is the next generation end-to-end data service company, with a focus on consulting and marketing, that helps organizations transform data into value and business impact.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results.

We have 1000+ employees across 18 offices who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Responsibilities

With the support of a Junior Data Consultant, you will have the opportunity to carry out various projects independently and in collaboration with Artefact’s teams of experts: Strategy, Activation, Analytics, Data, Creation.

At the agency or at the client’s premises, the consultant is a true project manager. The diversity of your missions will allow you to be as close as possible to customer issues, to acquire a real knowledge of data and to quickly develop your skills.

Your missions will include:

• define the needs of its customers by conducting interviews with customer teams and multiple technology partners,
• to help build, formulate and present strategic data recommendations for the client,
• to organize and conduct workshops and training to ensure the success of its projects,
• to develop and present data recommendations to clients,
• to imagine and present new support proposals to convince our future customers,
• to participate in training courses to acquire the technical knowledge necessary for its mission as an advisor and to keep abreast of the latest technological innovations on the market,
• and finally to participate in the writing of content on transversal subjects (e.g. publication of research works, writing articles or business cases).

Requirements

• Graduated from a business school (desired), the most important qualities in our eyes are intellectual curiosity, autonomy and dynamism.
• A first knowledge of digital marketing (within a start-up, agency, etc.) or consulting (Strategy, Management, IS), will obviously be valued.

We are seeking a dynamic and experienced People Analytics Specialist to join our team. The role will be responsible for transforming data into meaningful insights and recommendations for our data-driven decision-making in HR. The role will also engage with business, leaders and data scientists to elevate the use of HR data analytics, by developing and implementing analytics solutions that support HR strategies and initiatives.

Key Responsibilities

• Gather, organize, and analyze employee data across various HR systems to provide actionable insights.
• Create and maintain HR dashboards and reports and answer "How To" questions.
• Leverage statistical and predictive modeling techniques to identify workforce trends and forecast future talent needs.
• Engage and collaborate with business and HR leaders to understand their needs on data-driven insights by leading and facilitating discussions with them, consolidating inputs and providing recommendations on applying people analytics.
• Address strategic HR needs such as employee engagement, talent identification and retention, skills assessment, workforce planning etc. through people analytics
• Thoroughly explore and utilize product features of Visier, a People Analytics platform, including GenAI, Large Language Model (LLM), and training/finetuning of the capabilities.
• Manage roll-out activities such as training sessions and "Office Q&A" sessions.
• Update visuals and narrations in storyboard.
• Address users’ queries to gain deeper insights into the data.
• Stay updated on industry trends and best practices in People Analytics to continuously enhance HR strategies and reporting.

Requirements

• Bachelor’s degree in human resources, Data Analytics, Business Administration, or a related field.
• Proven experience in people analytics, including predictive analytics that supports HR metrics and strategic initiatives.
• Previous experience in creating and managing dashboards and visual representations of data via data visualization tools and/ or HRIS systems, along with strong Excel skills for data manipulation.
• Excellent interpersonal and communication skills, with the ability to lead discussions and present data-driven insights and recommendations to stakeholders.
• Strong analytical and problem-solving skills with attention to detail.
• Proficiency with Visier and its various features, including the GenAI and LLM capabilities will be an added advantage.

Experience: 9+ Years

Role: Big Data Engineer

Skills from Primary Skill Cluster Spark, Big Data, Hive, Java, 5+yrs with hands-on on Java is Must
Database knowledge and should be able to write the queries is Must.
Handson on Unix Shell scripting is Must.
Knowledge in Spark SQL (Good to have).
Understand on Regulatory reporting(Good to have).
Design implementation of scalable fault tolerant ETL Pipelines on Bigdata Platform to store process terabytes of contract informations from upstream sources with high availability
Actively work on performance tuning techniques through understanding Spark DAGs on data structures on both Relational Big Data Platforms giving high performance to both ETL Reporting Components
Responsibilities: Performs adhoc data research analysis, provide written summaries of results for nontechnical business users

Position: Senior Data Engineer

Duration: Permanent

Location: Beach Road

Role:

The Senior Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

YOUR RESPONSIBILITIES:

• Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.
• Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.
• Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.
• Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.
• Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.
• Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.
• Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.
• Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.
• Support the definition and optimization of underlying data infrastructure

Requirements:

• You hold a Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.
• Good knowledge of the big data technology landscape and concepts related to distributed storage/computing
• Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
• Experience with batch & ETL jobs to ingest and process data from multiple data sources
• Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
• Experience with querying tools (e.g Hive, Spark SQL, Impala)
• Experience with Power BI
• Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming
• Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)
• High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

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. He/She is 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 the client 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

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

Working hours: Mon to Fri, 8:30am to 6pm

Position Summary

This position is responsible for physical and technical tasks related to Data Center Infrastructure equipment.

Primary Responsibilities

• Perform physical and technical tasks of intermediate & escalated complexity on Data Center infrastructure equipment including but not limited to servers infrastructure, network infrastructure, or other equipment on the DC floor, without immediate supervision.

• Work alongside Technicians in installing, troubleshooting, and maintaining servers, networking equipment, and cabling (requires moving and racking equipment)

• Fix broken servers (replace hard drives, replace bad sticks of RAM, etc.).

• Use hardware/software tools and workflows (automation) in support of these tasks.

• Strictly follow all policies, processes, and procedures related to the activities and data center environment.

• Perform maintenance on a timely basis with adequate recordkeeping.

• Maintain equipment in running order with minimal downtime.

• Ensure a safe working environment and perform maintenance in a safe manner.

Requirements

• NITEC in IT or technical based qualifications.

• Familiar and comfortable using and working with IT equipment and software.

• Experience in repair of electronics components of computers.

• Scissor lift license would be an added advantage.

Zenith Infotech is a Tech Recruitment Company in Singapore for the last 27 years. We are looking for a suitable candidate to fill the above position of BI Engineer.

Responsibilities: As a BI Engineer, you will be responsible for developing and maintaining the Microstrategy setup within the overall Data Platform. The engineer must be able to discuss requirements with the clients and support in setup and issue rectifications.

Top 3 skills (must have)
1. MicroStrategy Business Intelligence
2. ETL Pipelines
3. Data Modeling Techniques and Methodologies , strong MSTR knowledge

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

Technical Operations Data Analyst

• 12 months contract
• Hybrid work location
• Work location: CBD

The Opportunity

• Review operational issues and determine if a technology (product) solution is required or a process correction needs to be made. Identify opportunities to improve business practices and drive internal process improvements.
• Track and report on operational performance for the global team and conduct data analysis regularly to identify trends and areas of improvements.
• Run daily standup meetings and monitor and manage daily customer support tickets for prioritization and triage.
• Assist in creating Business Review content for leadership meetings.
• Ensure the team adheres to established processes and protocols while staying informed about any updates or changes. Proactively highlight any deviations that affect our quality of support both internally and with vendors.
• Identify and address any roadblocks or issues that may impact operations
• Update status page for product issues when needed
• Support daily hand-over activities between different regions
• Coordinate with the team and prepare regional monthly meeting content
• Coordinate customer notifications on expiring API product version
• Document learnings and share operational insights to cross-functional teams

Your Background

• 2-4 years of experience providing operations support in a technical environment with strong understanding of Operational Metrics and Key Performance Indicators to measure success of a team.
• Demonstrated creative problem-solving approach and experience in using data visualization technologies to help drive business insights.
• Experience in building advanced SQL queries and dashboards to find operational trends and root cause by dice and slicing data.
• Customer-oriented mindset with demonstrated understanding and empathy
  High attention to detail, with an ability to execute standard workflows while also adapting appropriately to business and process changes when necessary
• Demonstrated ability to multitask and prioritize in a fast-paced environment
• Collaborative team player with "get it done” attitude
• Excellent interpersonal skills, including relationship building and collaboration within a diverse, cross-functional team.
• Excellent verbal and written communication skills and demonstrate attention to detail

Interested parties please click "Apply Now" or contact May Anne Ramos (EA Reg no: R1110127) at [email protected] for more information.

POSITION GENERAL DUTIES AND TASKS :
Skillset

- Up to 9 years of IT experience & 5+ Years on Hadoop and K8s Eco Systems

- Last 3 years of relevant experience in banking/financial services industry

- Demonstrable analytical skills with deep knowledge of Big Data Ecosystem in a Production Support Environment.

- Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka, Kudu, Flink, Ozone, Kafka and Streaming.

- Strong SQL, Python, Java and Unix shell scripting

- Incident, problem, and service Outage management experience is Plus.

- Good Communication and Articulation Skills



Roles/Responsibilities

- Strong in data engineering concepts and programming

- Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.

- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

- Strong analytic skills related to working with unstructured datasets.

- Experience in supporting data transformation, data structures, metadata, dependency and workload management.

- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

- Provide operational support and ensure SLI of Applications

- Troubleshoot Batch Issues & root causes to Mitigate Impacts to SLA

- Proactively Identify and Identify opportunities for preventive Maintenance

- Perform Administration & Optimization to achieve of Optimal System Performance

- Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to Established Standards

- Recommend Design and Operational Optimizations

- Respond on time to the queries raised by various business units

- Provide Timely updates (Status, Progress, Issues, Resolutions) to Business Stakeholders

- Work with Project/Enhancement Teams to Review, Transition for Run Team

- Participate in Disaster Recovery and Business Continuity exercises

- Support relevant software/platform/database upgrade for the systems

- Knowledge of Troubleshooting Core Java, Python, Scala spark batch, API and streaming applications

- Support data APIs, data science ML applications running on Kubernetes platform.



Datawarehouse Support Engineer (EDW)

The support specialist will be a techno functional support team member for the Enterprise Datawarehouse (EDW) under IT BAU team.

He/she is responsible for ensuring system availability and timely deliverables for datamarts for various business unit like Finance, regulatory, Campaign.

The support specialist, as the analyst expert within the IT team, will be the support staff who needs to closely co-ordinate and work with various team like Tech Infra, application services, solutioning, project and business units in the bank. He/she follows up to resolve issues reported by users and performs impact analysis related projects/enhancements that will impact the EDW.



Roles/Responsibilities

- Responsible to provide BAU support for Enterprise Datawarehouse

- Responsible to provide operational support and ensure SLI of system availability, batch deliverables

- Respond on time to the queries raised by various business units

- Provide timely updates regarding production status and progress of issue resolution

- Fine tune applications and systems for high performance and higher volume throughput

- Conduct review of technical and functional solutions from enhancement/project team to ensure they conform to IT standards

- Perform impact analysis of enhancements/projects that will impact supported systems

- Identify the underlying problems, analyse the root causes, provide possible solutions/fixes, and respond to users within SLA

- Support relevant software/platform/database upgrade for the systems

- Work with delivery team for smooth transition from projects/enhancements to BAU Mode

- Incident, problem, and service outage management experience

- Participate in Disaster Recovery and Business Continuity exercises

- Able to support relevant software/platform/database upgrade for the systems

- Server Performance, capacity, utilization monitoring and Health monitoring

- Collaborate with diverse cross functional teams within IT and Business to Independently drive outcomes

- At least 3+ years of relevant experience in banking/financial services industry

- Experience with Teradata FSLDM and data mapping

- Hands-on technologist, strong in SQL, UNIX and Teradata tools and technologies

- Experience in designing high throughput fault tolerant data pipelines for Batch (ETL/ELT)

- Experience in GL Data reconciliation between systems, datamarts & report and Knowledge of the ledger balance reporting is an added advantage

- Experience in Performance Tuning on Teradata or other MPP data pipeline

- Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka is a plus

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.