Total 3,998 data entry clerk job vacancies in Information Technology category in Singapore

Role : 6 months Contract

We are seeking an exceptional Senior Project Manager cum Solution Architect with extensive experience in the government sector, particularly in J2EE & Dot net, SharePoint, GCC cloud migration, and middleware applications, to spearhead our most demanding and intricate projects.

Key Responsibilities:

Lead multifaceted project management initiatives within the government sector, specializing in J2EE & Dot net, SharePoint, GCC cloud migration, and middleware applications.

Champion strategic decision-making processes, leveraging your profound understanding of government operations to devise ingenious solutions to complex problems and drive transformative change.

Forge and nurture strategic partnerships with government agencies and stakeholders, serving as a trusted advisor and collaborator throughout the project lifecycle.

Harness the power of advanced methodologies and best practices tailored to the unique needs of government projects, seamlessly integrating Agile, DevOps, and other cutting-edge approaches to optimize project outcomes and enhance operational efficiency.

Cultivate a culture of innovation and continuous improvement within government projects, inspiring and empowering team members to push the boundaries of what's possible and exceed even the loftiest of expectations.

Mentor and coach junior team members, imparting invaluable knowledge and expertise gained through years of hands-on experience in J2EE & Dot net, SharePoint, GCC cloud migration, and middleware applications within the government sector.

Requirements:

Bachelor's degree in Computer Science, Engineering, or a related field from a prestigious institution.

An illustrious career spanning a minimum of 15 years in the realm of information technology, with a proven track record of delivering transformative solutions within the government sector, particularly in J2EE & Dot net, SharePoint, GCC cloud migration, and middleware applications.

Demonstrable expertise in an extensive array of technologies, including Java/J2EE, .NET, SharePoint, GCC cloud migration, and middleware applications, with a keen understanding of how these technologies apply to government projects.

A distinguished portfolio of certifications, including PMP, Scrum Master, and other industry-leading credentials that underscore your mastery of project management and solution architecture within government contexts.

Exceptional leadership acumen, with a natural aptitude for inspiring and motivating cross-functional teams to achieve unprecedented levels of success within government projects.

Superlative communication skills, both verbal and written, coupled with a knack for distilling complex technical concepts into easily digestible insights for diverse audiences within the government sector.

A relentless commitment to excellence and an unyielding dedication to pushing the boundaries of what's possible in pursuit of organizational success within government projects.

How to Apply:

If you're a seasoned IT professional with a proven track record of success within the government sector, particularly in J2EE & Dot net, SharePoint, GCC cloud migration, and middleware applications, and you're ready to embark on the next chapter of your illustrious career, we want to hear from you. Please submit your resume and a compelling cover letter outlining your qualifications, accomplishments, and why you're the perfect fit for this challenging yet immensely rewarding role.

NTT DATA, a global leader in digital business and IT services, offers a thriving environment for career growth and excellence. Recognized as a "Top Employer 2023" in multiple countries, NTT DATA's commitment to talent acquisition, values, and ethics creates an outstanding workplace. With a diverse community of over 140,000 innovators worldwide, competitive benefits, and a focus on innovation,

NTT DATA empowers employees to drive transformation in cloud, data, and applications. This is an opportunity to join a culture of collaboration, and impactful contributions, whether you're an experienced professional or a recent graduate, on a journey toward a more connected and sustainable future.

COLLECTION, UTILIZATION, AND DISCLOSURE OF PERSONAL DATA: NTT DATA will assess and evaluate your suitability for employment, appointment, or continued engagement within any position within our organization.

Our client is a SI company

Requirements

• Possess a degree in Computer Science/Information Technology or related field.
• 5 to 7 years of experience in data engineering, data modeling, and the relevant database technology (e.g. RDBMS).
• Experience in Oracle PL/SQL and Informatica PowerCenter.
• Able to design, implement solution, and perform code review in Python
• Experience in Systems Development Life Cycle implementation methodology (SDLC) and/or Agile methodologies like Scrum and Kanban.

• Worked with Denodo
• Excellent written and verbal communication skills.
• Strong interpersonal skill and able to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to change.
• Good team player, with strong analytical skills and enjoy complex problem solving.

If you would like to hear more about this opportunity get in touch for a confidential discussion and/or attach your Resume and I will get back to you ASAP.

Chin, Soo Fatt

sf.chin[at]jondavidsongroup.com

JonDavidson Pte Ltd

Co. Reg. No. 200709068N. Licence No. 22S1412

Registration Number: R21100141

The Company

Is your passion for data analytics matched by a drive to propel businesses forward? Our retail client seeks a visionary Data Analytics Manager to lead the charge in their digital transformation. In this critical role, you will spearhead data analysis initiatives, manage key projects, and oversee the development of insightful reports and dashboards. By leveraging your expertise in data warehousing, business intelligence tools, and team leadership, you will empower data-driven decision-making across the entire organization, ultimately fueling the client's growth trajectory.

The Role

You will lead a high-performing data team and empower data-driven decisions. In this role, you will manage a team of data analysts and developers, guiding their professional growth. You will also oversee the creation of reports, dashboards, and visualizations to translate complex data into clear insights. You will collaborate with various teams to ensure data projects align with business goals. From identifying data sources to building automated workflows, you will ensure data quality and efficient processes to support strategic decision-making. This role offers the opportunity to oversee various data tasks, including identifying data sources and prepping data for modeling. You will build and improve automated workflows to ensure smooth-running reports and consistent information across them. Additionally, you will also be responsible for migrating data structures from legacy systems to the cloud and will document test plans and perform quality assurance activities to guarantee data quality and integrity. By implementing best practices, you will optimize data processes for efficiency and scalability.

Your Profile

A bachelor's degree in computer science, information systems, or a related field is required and the ideal candidate will have at least 10 years of experience in data analysis, with a focus on managing teams and projects. Technical wise, proficiency in BI tools such as QlikSense (On-prem/Cloud), Tableau, and experience with data warehousing platforms like Snowflake. Data visualization using Qliksense, Tableau, or similar visualization tools, with the ability to create visually compelling and insightful dashboards and reports, proficiency in SQL and R for data querying, building data models, and conducting comprehensive data analysis. Familiarity with OLAP (Online Analytical Processing) concepts and experience leveraging OLAP technologies to analyze multidimensional datasets and knowledge of predictive modelling techniques using R, Python, or other relevant tools, with experience in developing and implementing predictive models to forecast trends and outcomes. Additionally, experience in modelling and designing relational databases, star schemas, and cubes to support analytical requirements and data-driven decision-making, sound understanding of functional areas such as finance management, customer relationships, sales, and logistics operations, with the ability to translate business requirements into actionable insights. Proficiency in statistical analysis and experience using statistical packages such as Excel, SPSS, SAS, etc., to analyze datasets and derive meaningful insights. Advanced Excel skills, including data manipulation, analysis, and visualization techniques, leveraging data analysis and segmentation to unlock growth opportunities and inform strategic decision-making, with the proven ability to translate data insights into actionable strategies that drive business performance are required skills to succeed in this role.

Apply Today

Please send your resume, in WORD format only and quote reference number SN12924995, by clicking the apply button. Please note that only short-listed candidates will be contacted.

EA Licence No: 07C5595 | EA Registration No: R1109288

Tyco Electronics Singapore Pte Ltd (TE Connectivity) is looking for an R&D Scientist/Engineer to join our Corporate R&D Center. The Scientist/Engineer will be part of a newly formed Artificial Intelligence team to create an AI Hub for TE in Singapore. Team members will collaborate with R&D peers, business unit partners as well as local university and government research centers to undertake projects that will embed AI in TE’s design and process development work flows to deliver a competitive advantage to TE’s technologies. This position is based at our Singapore HQ.

The Singapore Corporate R&D Center is chartered to work with the CTO’s and Advanced Development Groups of TE Business Units to identify technical areas of interest for R&D and develop forward looking technologies that will deliver broad value to the business. In order to improve the New Product Development process, TE is expanding our Artificial Intelligence capabilities as a part of our Digitalization strategy to improve efficiency, decrease cost, and decrease time to market.

Job Responsibilities:

• Run multiple projects in developing data science solutions to support new product development in TE
• Adopt cutting-edge data science techniques (using in-house coding tools or commercial software) to solve engineering problems (such as product design, manufacturing process development, material formulation, etc.)
• Develop multiple algorithms powered by machine learning to work on experimental and simulation data sets
• Work in a multi-disciplinary environment with specialists in data science, mechanical engineering, material science, mechanics, additive manufacturing and other fields
• Collaborate with multiple business units to define deliverable, requirements, and functionalities.
• Create awareness across TE of the AI modelling capabilities of the Singapore center
• Work with local and global TE sites, and external customers and partners, to address urgent or strategic needs
• Partner with Singapore research institutes to develop advanced AI techniques, and assist with validation and knowledge transfer of outsourced projects

Job Requirements:

• Master degree in Mechanical Engineering (or related) with 3-4 years (or Bachelor degree with 4-6 years) plus relevant working/research experience
• Keen interest in R&D involving coding and data
• Deep understanding of data science and machine learning (having a second degree on data science is a plus)
• Familiar with machine learning algorithms involving multiple data types
• Strong programming skill in Python or similar languages
• Broad knowledge of manufacturing processes, material and product design
• Experiences with AI applications on product design
• Experience in effective project management strategies and tactics

Preferred:

• Familiarity with TE products (connectors, cables, sensors etc.) and manufacturing process, (molding, extrusion, plating, stamping, assembly)
• Broad understanding of multiphysics simulation (such as FEA finite element analysis, CFD computational fluid dynamics) and CAD
• Familiarity with project management tools

Job Summary:

• We are seeking a highly skilled and experienced Big Data Engineer to join our team. The ideal candidate must have
• a minimum of 4 years of experience managing data engineering jobs in big data environment e.g., Cloudera Data
• Platform. Overall experience can be 5 to 10 years. Consultant/ Senior Consultant preferably. The successful
• candidate will be responsible for designing, developing, and maintaining the data ingestion and processing jobs as
• per business requirements. Candidate will also be integrating data sets to provide seamless data access to users.

Key Responsibilities:

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

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

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

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

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

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

• Support production issues - Track record in implementing systems with high availability, high performance,

high security.

What we are looking for:

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

• Good understanding of analytics and data warehouse implementations.

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

• Strong SQL, data modelling and data analysis skills are a must.

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

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

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

• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.

• Passion for automation, standardization, and best practices

• Good written and verbal communication and interpersonal skills, ability to understand the business

requirement, communicate confidently with stakeholders.

Position: Data Framework Engineer
Employment Type: 1-year Agency Contract (Highly Renewable)
Location: Alexandra

SCOPE OF THE ROLE

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

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

Responsibilities:

• Create frameworks, technical features which helps in faster operationalisation of Data models, Analytical models(including AI/ML) and user generated contents (dashboards, reports etc)
• Effectively partner with data scientists in enabling faster adoption of AL/ML model based systems
• Independently install, customise and integrate software packages and programs
• Carry out POCs involving new data technologies
• Design and develop application frameworks for data integration
• Create technical documents such as solution design, program specifications for target solutions
• Perform design and development of applications which may not be limited to: Software Applications, Data Integration, User Interfaces, Automation
• Maintain and recommend software improvements to ensure a platform centric management of software applications
• Performance tuning
• Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing
• Perform tasks as part of a cross functional development team using agile or other methodologies and utilising project management software

Requirements:

• 8+ years of experience with application development in Big Data Ecosystem (such as Cloudera, ElasticSearch, Spark, Presto, Hive, Impala, Kibana, Logstash, Hbase, Kafka),
• Expertise in building applications using Java, Scala, Python, Shell scripting, Go
• Experience in large scale implementations and performance optimizations in the Big Data Ecosystem using Spark, Hive, Impala, Apache Kudu, Ozone, Presto, Tez, Iceberg etc
• Knowledge of frameworks such as Spring, Struts, Hibernate etc
• Knowledge of Object Oriented Programming, Multi-threading, Containerization, etc
• Knowledge of related technologies such as HTML, Javascript, CSS, Jquery, node.js, docker
• Knowledge of Elastic, Kibana, Logstash, Hive, Sqoop, MongoDB, Oozie, Flume, Kafka
• Expertise in integrating applications with Devops tools
• Knowledge of building applications on MPP appliances such as Teradata, Greenplum, Netezza is a plus

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

1. Language – SQL, Java, Python, Scala, Javascript, node.js
2. Automation / scripting – CtrlM, Shell Scripting, Groovy
3. Cloudera Hadoop distribution – Hive, Impala, Spark, Kudo, Kafka, Flume

If keen, kindly forward your CV to [email protected]

Tangspac Consulting Pte Ltd
#03-02 The Octagon, 105 Cecil Street, Singapore 069534
EA Personnel Name: Olsem Stefanus Emmanuel
EA License: 07C3635 | EA Registration: R2094432

NCS is the leading technology services firm that operates across the Asia Pacific region in over 20 countries, providing consulting, digital services, technology solutions, and more.

We believe in harnessing the power of technology to achieve extraordinary things, creating lasting value and impact for our communities, partners, and people. Our diverse workforce of 12,000 has delivered large-scale, mission-critical, and multi-platform projects for governments and enterprises in Singapore and the APAC region.

We’re searching for a Data Center IT Operator to be part of our diverse team of talent here at NCS!

If you believe in going above and beyond, embodying excellence, and bringing people and technology together like never before, we would love to have a conversation with you!

What we seek to accomplish together:

• Perform shift duty to support 24x7 DC Operations stand-by duties for emergency.
• Assist to oversee the IT equipment hardware inventory on individual rack inside the DC
• On-site Management of works conducted within the Data Centre such as site preparation, site survey, network cabling, electrical wiring, air-conditioning, building power supply (including power generator) tests, infrastructure & System maintenance, on-site/off-site standby activities etc
• Coordinate preventive maintenance for Data Centre downstream infrastructure which includes Uninterruptible Power Suppler (UPS) systems, Water Detection systems, Fire Suppression systems, PDU, CCTV systems, Card Access systems etc.
• Operate Electronic Visitation Management System (Update Authorizer and customer access request accurately and promptly).
• Remote Hand Support (Media Management, Visual Inspection, Reboot devices, staging room, Physical connect/disconnect of HDD, network cable connectivity test, insertion of fibre SFP).
• Handle input and output media with due care for integrity of data and utility of media for subsequent use, including off-site storage.
• Perform Event Monitoring for Data Centre Facilities infrastructure to ensure they are functioning optimally (e.g. UPS, power, temperature control, humidity, water detection sensor, etc.)
• Perform event monitoring for IT Systems and Network infrastructure.
• Perform incident escalation. Ensure incidents are responded and attended to. To redirect for 2nd or 3rd Level resolution base on criticality, impact and customer Service Level Agreement (SLA).
• Manage and mitigate escalations of high impact system failures and assist in tracking the incidents till closure.

A little about you:

• Diploma Computer Information Systems or related field.
• Minimum 2 years of experience in DC Operations Support and Batch Management
• Possess initiative with positive working attitudes and customer services oriented
• Independent and goal-oriented
• Good team player
• Good communication and interpersonal skills
• Able to work shifts to support 24x7 Data Centre operations

What you might also need to have:

• Familiar with: Control-M 9.0.19.x Fundamentals, Basic SAP, Data Centre Operations Support, ITIL methodologies

As Asia’s leading technology services firm, NCS as part of the Singtel Group, aims to create sustainable value for all our stakeholders. We aspire to create the extraordinary, to impact millions of people every day, and to create a positive impact on our environment. Our sustainability strategy sets out the key Environmental, Social and Governance (ESG) areas that aim to create the NCS impact for our clients, our people and our future.

We Grow our People, Value our Clients, and Create our Future.

We want to change the way we live and work for the better, to create new and sustainable business growth, and to foster an inclusive future for all.

You can find out more about our Group’s sustainability focus to guide how you can contribute to our objectives at Sustainability Reports.

About NCS Group

We believe in building a talent-led delivery model to enable our best people to lead, and to support them with the right structure, processes, and tools to ensure that our clients are delivered top quality services. Great work is never done alone, which is why we also believe in fostering a collaborative work environment where people with different expertise and talent can come together.

We’re here to make the extraordinary happen.

Find out more at ncs.co and our LinkedIn career site.
We handle all profiles with the highest level of confidentiality.

Scope of The Role

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

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

Job Responsibilities

· Create frameworks, technical features which helps in faster operationalisation of Data models, Analytical models (including AI/ML) and user generated contents (dashboards, reports etc)

· Effectively partner with data scientists in enabling faster adoption of AL/ML model based systems

· Independently install, customise and integrate software packages and programs

· Carry out POCs involving new data technologies

· Design and develop application frameworks for data integration

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

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

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

· Performance tuning

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

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

Requirements

Technical skillsets

· 8+ years of experience with application development in Big Data Ecosystem (such as Cloudera, ElasticSearch, Spark, Presto, Hive, Impala, Kibana, Logstash, Hbase, Kafka),

· Expertise in building applications using Java, Scala, Python, Shell scripting, Go

· Experience in large scale implementations and performance optimizations in the Big Data Ecosystem using Spark, Hive, Impala, Apache Kudu, Ozone, Presto, Tez, Iceberg etc

· Knowledge of frameworks such as Spring, Struts, Hibernate etc

· Knowledge of Object Oriented Programming, Multi-threading, Containerization, etc

· Knowledge of related technologies such as HTML, Javascript, CSS, Jquery, node.js, docker

· Knowledge of Elastic, Kibana, Logstash, Hive, Sqoop, MongoDB, Oozie, Flume, Kafka

· Expertise in integrating applications with Devops tools

· Knowledge of building applications on MPP appliances such as Teradata, Greenplum, Netezza is a plus

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

1. Language – SQL, Java, Python, Scala, Javascript, node.js

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

3. Cloudera Hadoop distribution – Hive, Impala, Spark, Kudo, Kafka, Flume

Additional Experience required for all teams to create an added advantage:

1. CI/CD software, Testing Tools - Jenkins, SonarQube

2. Version Control Tool - Aldon+LMe, CA Endeavor

3. Deployment Tool kit -Jenkins

4. Service or Incident Management (IcM) Tools - Remedy

5. Source Code Repository Tool - Bitbucket

6. Scheduling Tool - Control-M

7. Defect Management Tool - JIRA

8. Application Testing tool – QuerySurge

9. Cloud certification

10. Platforms provided by FICO, Experian, SAS for credit and portfolio management

Education

· Bachelor’s degree/University degree in Computer Science, Engineering, or equivalent experience

What Will Help You Succeed in This Role

· Adopt an uncompromising attitude when it comes to quality and help raise bar of products and team members

· Be a team player who communicates effectively and professionally with both internal and external customers

· Identify ideas to improve system performance and impact availability

· Embrace tackling and resolving complex technical design issues

· Possess strong problem solving and decision-making skills while exercising good judgment

· Strong analytical and problem-solving skills

· Ability to work on multiple projects at a time

· Be able to work under pressure and manage deadlines or unexpected changes in expectations or requirements

· Good communication skills - ability to convey technical information to non-technical audience

· Ability to understand the big picture

· Ability to develop long lasting relationships with all levels

· Deep understanding and experience in software development cycle, including Agile based rapid delivery

· Collaborate with business and IT to analyse, elicit and review business requirements

· Facilitate communication between vendor, project team, business stakeholders and internal IT team

· Ability to work in a team distributed across multiple locations

The IT Operator is responsible for:

Provide single point of contact for incident, service request and escalation.

• Monitor, manage and maintain data centre operation and facilities.

• Manage equipment movement

• Daily monitoring of status

• Ensure proper running of the existing data centre systems.

• Perform tape mount and un-mount for the backup operation.

• Handle the portable media storage for off-site storage.

• Liaise with the vendor on maintenance and enhancement issues.

• Troubleshoot and report system incidents/problem and abnormalities.

• Resolve incidents related to routine problems or known issues.

• Adhere to service level agreement for response time and turnaround time.

• Able to work shift including weekends and public holidays.

• Possess Diploma in Computer Science/Electronics/IT or equivalent

• Minimum 1 year of relevant working experience in IT infrastructure operation

• 12 hrs shift working

Please submit resumes to [email protected] with the following

details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

You’ll join the Data Intelligence team in creating data warehouse.

Responsibilities:

• Improve payment performance and drive business growth;
• Develop data pipelines and participate in the standard definition of data development;
• Build data quality system and complete data monitoring/verification process;
• Develop data-related product requirements, and be able to independently understand requirement, design schemes, and implement.

Qualifications:

• Bachelor's degree or above in Computer Science, Statistics, Mathematics or other related majors;
• At least 3 years of experiences in data engineering developing data pipelines;
• Proficient in at least one programming language such as Python, Java, Scala, Go, with a strong engineering background and interest in data;
• Prior experience with writing and debugging data pipelines using a distributed data framework (Hadoop/Spark/Flink/Storm, etc.);
• Familiar with OLAP engines (Hive/ES/Clickhouse/Druid/Kylin/Doris, etc.);
• Familiar with data warehouse architecture, data modelling methods and data governance; enthusiastic about data mining, strong business understanding and abstraction capabilities;
• Proficient in databases, strong SQL/ETL development ability;
• Experience in real-time data warehouse development is preferred.

about the company

My client are in the 3PL environment. As a result of ongoing and continued success in both Singapore & internationally, they are recruiting for talented candidates to join them for their expansion.

about the job

• Develop market intelligence in the following markets
• Leverage data to drive business insights
• Service design/cargo flow optimization
• Collect, analyze and interpret data
• Provide fundamental demand-supply analysis
• Data collection, maintenance, processes automation and statistical modelling
• Presentation of the finding / analysis to the stakeholders

skills & experience required

• Bachelor Degree / Diploma in Engineering / Data Science / Statistics/ Mathematics / Economics / Quantitative / Supply Chain
• Min 3 years of airfreight / freight forwarding experience
• Proficient in Electronica Data
• Highly developed quantitative skills and advanced proficiency in MS Excel is a must

If you are interested in the position , kindly send your CVs to yitwei.kwan(@)randstad.com.sg
Please include your availability, expected salary and reason for leaving current job
We regret that only shortlisted candidates will be contacted
EA: 94C3609 / Reg: R1325913

● Collecting financial data from diverse sources, including databases, spreadsheets, surveys, and external APIs, with a focus on accuracy and completeness.

● Verifying and enhancing data accuracy through rigorous cleaning, validation, and organization processes, ensuring high-quality datasets for analysis.

● Applying advanced statistical methods, machine learning techniques, and other analytical approaches to extract meaningful insights from financial data.

● Developing and presenting comprehensive reports, dashboards, and visualizations to communicate analysis results effectively. Translating complex financial data into clear and actionable insights.

● Analyzing financial data to identify trends, patterns, and correlations that contribute to informed decision-making processes within the organization.

● Addressing business challenges through the application of data-driven insights, collaborating with cross-functional teams to devise effective solutions based on analysis outcomes.

● Maintaining a strong focus on data integrity, security, and compliance with relevant financial regulations. Managing databases and upholding high standards of data quality.

● Collaborating closely with team members to understand business requirements, contributing to the development and achievement of overall financial and strategic goals.

The Requirements

● Legal Authorized to work in Singapore without work/employment visa
sponsorship.

● Bachelor's degree in Finance, Accounting, Statistics, Economics, Mathematics, Computer Science, or a related field.

● Minimum 2-3 years of relevant experience in similar field.

● Proficiency in data analysis tools and programming languages, such as SQL, Python, or R.

● Experience in BI and visualization tools: PowerBI/Tableau, Streamlit, is preferred.

● Strong knowledge of statistical analysis and machine learning techniques relevant to financial data.

● Proficient in English and Mandarin to liaise with China's stakeholder and counterpart.

● Possess strong interpersonal skills, organized, resourceful and good problem-solving abilities.

● Able to coordinate and communicate with multiple stakeholders in a dynamic atmosphere and comfortable working in a startup company.

Job Details

Location: City Hall

Working Hours: 5-Days Work Week

Work Type: 1 year contract

Salary: Up to $2,800 per month

What you will be working on?

(A) Educational Programmes

• Oversee and monitor the school booking system for Learning Journeys at the museum and keep track of school visits and answer enquiries about school programmes, bookings via emails, and phone calls, etc.
• Co-ordinate weekday and weekend docent tours/virtual tours for school visits, regular or special requests.
• Welcome school groups to the museums or virtually, and undertake crowd control measures during peak periods or when there are a few school groups in the museum.
• Prepare and monitor educational resources and worksheets.

(B) School Workshops, Programmes and Travelling Exhibitions

• Co-ordinate logistics / equipment list for all workshops and programmes.
• Assist in the coordination and the running of the workshops or programmes – both onsite and online.

(C) Volunteer Management

• Liaise with various groups on bookings of museum facilities for activities like training, gatherings, meetings etc.
• Co-ordinate logistics / equipment list for all volunteer events.

What are we looking for?

• Singaporean only
• A minimum diploma in Arts management, education, art, history or other relevant discipline.
• Proficient in Microsoft Office

Interested candidate may apply via email to [email protected] (indicating Job ID JMEDU for faster processing). All job applications will be processed with strict confidence and only shortlisted candidate will be contacted.

Carmen Tan Huei Mun | R23115837

ScienTec Consulting Pte Ltd (ScienTec Personnel) |11C5781

About us

Dyson Connectivity is responsible for defining a world-class Connected strategy, product and owner experience in the MyDyson App, to help take this amazing technology to market, explaining how our machines are different and their benefits. Where we demonstrate our machines and their superiority we win. Where we solve owner problems at speed, first time we win. But we also want to prevent issues from happening by analysing the data from sensors in our machines and the owner profiles we hold. We are also responsible for the development and delivery of the Connected features within the MyDyson App and Cloud.

About the role

Reporting to the Head of Data Product and working closely with the Data Product Managers and Data Scientists, you will:

• Own the connected product data and tracking requirements
• ​Contribute to the vision and data product roadmap
• Manage Data Product feasibility.
• Manage Data Product milestones and phase reviews
• Create & define Data Product requirements
• Prioritise tasks for Data Product Delivery across multiple teams
• Be responsible for management and delivery of Data product Features, Epics & User Stories
• Ensure cross-team alignment on tasks across multiple backlogs
• Manage expectations of Data Product delivery with key stakeholders
• Manage data insight requirements from connected feature delivery
• Work to Lean & Agile practices, supporting teams as we continually look to improve flow
• Provide concise reporting and communication of the data product roadmap, planning and delivery
• Deliver to the data strategy to ensure success of connectivity core KPI’s

About you

• Minimally 4 years of experience in data analytics, business intelligence, or software development.
• Interest in and/or experience with data/analytics related technologies (e.g. SQL, Python, R, Google Cloud Platform, AWS).
• Working knowledge of data architecture and data engineering within a SAFe framework and using Agile methodology.
• Experience of creating and implementing a data strategy and data product roadmaps with the natural tendency to think 'Data impact'.
• Working knowledge of key tools - including Confluence / Jira / Stash / Bitbucket / GitHub.
• Good commercial awareness and working knowledge of the objectives of different business functions within a large organisation.
• Excellent interpersonal communication skills with the ability to influence others (technical/non-technical).
• Comfortable with, and resilience to, a high change environment.
• Aptitude for project planning and execution, from initiation to completion.

Benefits

Dyson Singapore monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.

Our client is SI company

• 3-7 Experience in data analysis.

• Able to manage SLA and queries from end users
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Hands-on experience with Oracle PL/SQL
• Experience in performing UAT.

• Working experience in Snowflake
• Experience in providing documentation support e.g. in technical/functional specifications.
• Possess finance domain knowledge.
• Good problem solving and logical thinking.

If you would like to hear more about this opportunity get in touch for a confidential discussion and/or attach your Resume and I will get back to you ASAP.

Chin, Soo Fatt

sf.chin[at]jondavidsongroup.com

JonDavidson Pte Ltd

Co. Reg. No. 200709068N. Licence No. 22S1412

Registration Number: R21100141

"Personal data collected will be used for recruitment purposes only"

ELK Kibana Specialist

Data Engineer Kibana, ELK and Elastic Search.

• Sitting within Data & Technology Architecture Department, the job holder is responsible:
• Provide technical support and troubleshooting for Elastic Search infrastructure, including data ingestion, indexing, and search performance optimization.
• Utilize observability concepts to monitor and improve the performance, reliability, and scalability of Elastic Search clusters.
• Develop and maintain Kibana dashboards for report generation and visualization of data insights.
• Support IT Infrastructure migration project as Database SME (Oracle) of critical IT infrastructure, ensuring seamless transition and minimal disruption to operations.
• Create and maintain Unix shell scripts for automation and system maintenance tasks.
• Collaborate with cross-functional teams to implement machine learning models for data analysis and predictive insights.

What we are looking for

• Proven experience in supporting and maintaining Elastic Search infrastructure in a production environment.
• Proficiency in data ingestion techniques and creating visualizations using Kibana.
• Strong understanding of machine learning concepts and their application in data analysis.
• Experience with implementing machine learning algorithms within Elastic Search for data analysis and anomaly detection.
• Familiarity with observability platforms such as Prometheus, Grafana, or similar tools.
• Solid Unix knowledge and scripting skills for system administration and automation tasks.
• Knowledge and experience in supporting database systems – Oracle, MySQL and Postgres.
• Familiarity with observability tools and practices for monitoring and optimizing system performance.

The Job:

• Manage different sets of data. Perform analysis by interpreting data, identifying trends and patterns and come up with a plan/solution for improvement.
• Prepare reports for management
• Perform administrative duties such as data entry, submit subsidiary/vendor claims, payment collection, incentives and other tasks as assigned by superior
• Maintain data files
• Perform warranty validation

The Requirements:

• Min Diploma/ Degree with min 2-3 years of relevant working experience
• Proficient in MS Office
• Good communication and interpersonal skills

Interested applicants can send their detailed resumes to [email protected] or call JANE @ 67351955.

CEI: R1104482

JANE LUI JIE'EN

Company Reg. No.:199601303W | EA No. 99C4599

The primary role of the Data Analyst is to support project managers to execute on various deliverables set forth in client and industry collaboration projects regarding program development and implementation, measurement, reporting, data platform enhancements and research services contracted in the areas of ESG and sustainability for organizations. In this role, the Data Analyst will support project managers on assigned projects and client requests including:

• Conduct data collection and consolidation and perform data analysis for client sustainability reporting, industry research, and data management needs.
• Create, improve, and utilize tracking templates and data platforms for both processes and performance data for client use and Greenview research, which incorporate the streamlining of various sustainability criteria and datasets.
• Support the roll-out and ongoing activities of the Greenview Portal, performing user acceptance testing, inputting data, debugging, and providing account management and customer support to end users.
• Support benchmarking studies on sustainability programs, goals, disclosures, performance, and rankings.
• Monitor project plans, project schedules, and work hours per assigned projects.
• Draft data and narrative content for sustainability presentations and communications.
• Support initiatives through coordinating data outputs and related engagement for meetings, calls, workshops, trainings, presentations, and events.
• Document and follow up on action items from internal and external meetings.
• Perform various administrative tasks as needed.

QUALIFICATIONS, SKILLS & CORE COMPETENCIES REQUIRED

• Bachelor’s Degree with a focus in one or more of the following: sustainable business, hospitality, and/or tourism, environmental science, natural resources, research, communications
• Relevant experience in the above within the hospitality or tourism industry preferred
• Proficient in MS Office Suite (Word, Excel, Outlook, PowerPoint, Access) with strong Excel skills, experience in Power Query and Power BI preferred
• Strong communications, writing (in English), analytical research, and organizational skills
• Ability to develop, maintain, and enjoy effective working relationships with people from a wide variety of organizations and with a wide variety of functional expertise
• Personal commitment to Greenview’s vision and the ability to articulate it to others
• Proactive and results-oriented
• Self-starter and fast learner
• Creativity and flexibility
• Keen attention to detail
• Team player
• Global vision and openness, including working with a multicultural and geographically diverse team and working hours
• Stress tolerance and resilience
• Passion for helping to build a better planet
• Willingness to travel up to 5% of the time

What we offer

• Competitive salary and benefits package
• Opportunities for career advancement within a global luxury brand
• A diverse and inclusive workplace
• Ongoing training and development programs
• Experience the prestige of working with iconic beauty and fragrance brands

Your skills and experience

• Familiar with Microsoft SQL Server and have SQL script development skills, experienced in data management 

• Good Knowledge of Google solution (Google Cloud, BigQuery, Google Analytics) and Microsoft solution (PowerBI, SSAS) 

• Excellent technical skills – good understanding on data analysis and integration 

• Good communication skills – Good spoken English required 

• Willing to manage many different sub-projects at the same time 

• Willing to work in a multi-brands and dynamic organization 

Executive Summary

Smart IMS Inc provides Digital technology & Cloud transformation services, Application & Infrastructure Management Services, Unified Communications, and Insurance implementation services to customers across the Americas, Europe, Middle East, and Asia-Pacific regions. As the trusted technology and business partner of leading MNCs, including Global Investment Banks, Smart IMS is also a Microsoft Gold Certified Partner, Oracle Platinum Partner and AWS MSP Partner.

We are looking to hire a Data Centre Operations Specialist in Singapore to support our client, a top global investment bank. The ideal candidate will be responsible for the design, implementation, maintenance, and optimization of data center infrastructure. They will ensure reliability, safety, security, and efficiency of data center operations while adhering to industry standards and best practices as well as regulatory requirements.

Responsibilities:

• Designing, configuring, and implementing data center infrastructure components such as structured cabling, open frame, PDUs, patch panels and power cabling work.
• Installing and provisioning hardware and software systems in the data center environment.
• Performing regular maintenance tasks such as power, cooling and cabling maintenance activities.
• Monitoring data center performance and capacity utilization, and proactively identifying and addressing issues to minimize downtime and disruption.
• Collaborating with stakeholders and vendors to understand and meet incoming demand for space, power, and cooling. Plan data center capacity and drive regional strategy in growth and de-risk.
• Manage data center security measures, including access controls, environment monitoring and surveillance systems.
• Collaborating with cross-functional teams to support the deployment and operation of new services and applications in the data center.
• Developing and maintaining documentation, including Standard Operating Procedures (SOPs) and diagrams. Provide support to management reporting and audit responses from internal control teams and regulators.
• Providing technical support and troubleshooting assistance to resolving data center related issues escalated by other teams

Required Skills:

• Bachelor’s degree in computer science, information technology, and/or engineering field
• At least 3-5 years of data center experience
• Strong understanding of data center technologies as well as network and computing technologies
• Familiar with data center management tools and software
• Excellence problem solving, analytical skills and ability work effectively under pressure in highly regulated environment
• Strong communication and interpersonal skills, with the ability collaborate effectively with partner teams and vendors
• Ability to participate in on-call rotation and response to data center emergencies

Desired Skills:

• Data Center, network, and server hardware certifications
• Scripting languages such as Excel Micro, Python, Shell scripting, etc
• Good with data and interested in data mining and automation

Job Description

The senior data engineer is a senior software developer with strong software engineering skills who is responsible for building custom open-source-based data ingestion and MLOps platforms. He/she has deep appreciation of the complexity of the data engineering process, such as the challenges of data ingestion involving large or near-real-time datasets, the maintenance of high data quality, and the importance of automation for increasing pipeline robustness and reducing the need for human intervention.

Key Responsibilities include:

• Be an effective distributed-system implementer in the following core activities:

1. Design and develop data engineering services and their ecosystem using distributed databases (relational, columnar, graph, in-memory); orchestration (Apache Airflow); and distributed stream/batch data processing (Kafka, Kinesis, Spark).
2. Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.
3. Design data models for mission-critical, high-volume, near-real-time/batch data; build idempotent/atomic production data pipelines to make data ingestion more fault tolerant.
4. Design and develop intuitive, highly automated, self-service data platform functions for business users.

• Explore, evaluate and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements

• BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.
• 3+ years of relevant industry experience in some or most of the following technical areas:

1. Advanced programming skills in Python. Conversant with data structures and algorithm design.
2. Experience in building data pipelines (including data collection, warehousing, processing, analysis, monitoring, and governance) using open-source data ingestion platforms.
3. Intermediate-level knowledge and experience with AWS cloud components and best practices. Good understanding in deploying data stores such as S3, RedShift, Elasticache, PostgreSQL, and ClickHouse.
4. Prior experience in modern software development is required (such as web frontend UI, backend API microservices, understanding of CI/CD and Scrum/Kanban agile development). Strong grasp on object-oriented or functional programming (using e.g. Python, Java, Scala, or C#).

Job responsibilities:

1. Responsible for analyzing core business data related to vehicle operation health, mining pain points of operation business and suggesting optimization directions

2. Participated in the core project of the team, and was responsible for project data analysis and promoting effect review

3. Summarize the data monitoring dimensions of daily/new strategies, establish a data monitoring system, find problems in time, and provide strategic support for business operations

Job Requirements:

1. Full-time bachelor degree or above, major in computer science, statistics, applied mathematics, Operations research or related field is preferred

2. Proficient in Excel, SQL, Tableau and other visual tools experience is preferred

3. Love data analysis work, have a high degree of data sensitivity and insight, efficient team cooperation and communication skills

4. Have more than two years of data analysis related work experience

The Role

• Deliver volume forecast, key forecast changes and risks & opportunities for the business
• Monitor KPIs and perform root cause analysis
• Overall ownership and accountability for the business volume forecast process
• Develop and drive action plans to improve forecast accuracy and build sustainable demand planning capability (people, process, and system)
• Build bench strength within the team
• Lead and provide direction to a team of Demand Planning executive on resolving Demand planning related and allocation
• Manage introduction of new products, new supply chain and new initiative forecast.
• Work with regional and local commercial /marketing team to incorporate SEA category development into the overall initiative design and ensure initiative readiness
• Develop phase-in and phase-out strategy working with commercial team, and define clearance plan with commercial team
• Provide insights on safety stock factor adjustment based on the demand variability

About You

• Degree holder in Business related preferably majoring in Supply Chain, Logistics Management
• Minimum 5 - 10 years work experience in similar capacity
• Advanced level in MS Excel and other MS office applications
• Strong analytical capability, good negotiation and planning skill
• Good understanding on data and how that leads to impact decisions
• Possess good understanding of supply chain concepts, statistical forecasting and related processes
• Understands DC operational routines
• Strong in Project Management (will be involved in Projects)
• Experience in managing suppliers

Benefits

• Team Member Discount
• Subsidized Medical and Dental Benefits
• Training Opportunities
• Career Advancement

As a Data Engineer assigned to the Test/Product Department, you will be working with various internal teams to develop Smart Engineering solutions through Artificial Intelligence and Machine Learning.

Responsibilities:

• Work with Test/Product Engineers, Process and Equipment Engineers, IT and other relevant departments collaboratively to develop data science solutions that will improve test output, yield, quality and process capability.
• Utilize various techniques in statistics and statistical modelling, machine learning and data engineering to extract insightful information from existing device test and manufacturing data.
• Prepare and generate Industry 4.0 initiatives and proposals for review and implementation.

Requirements:

• Bachelor’s Degree in Electrical Engineering, Computer Engineering, Computer Science or related field.
• Experience in Semiconductor Data Science will be an advantage.
• Background in Artificial Intelligence, Machine Learning, Statistical Techniques for Modeling and Simulation is preferred.
• Proficient in coding using Python and other related languages.
• Good communication and interpersonal skills.
• Excellent project management, analytical and problem-solving skills.
• Able to work independently and as a team.

I am hiring for my client, one of the global asset management firms.

• Responsibilities: Ensure data quality, monitor anomalies, and proactively detect issues; explore and analyze data, communicating findings clearly; standardize monitoring methodologies and drive automation for system improvement.

• Requirements: Strong technical background in data processing, proven track record in automation; focus on enhancing system reliability and resilience; ability to collaborate effectively across teams; methodical problem-solving skills.

• Technologies: Proficiency in Python, C#, Scala, Java, or Go; experience with SQL, Pandas, Elasticsearch & Kibana, Snowflake; familiarity with Docker, Kubernetes, Helm, Flux; exposure to ETL/ELT technologies like Airflow, Argo, Dagster, Spark, and Hive.