We are looking for a strong data scientist / engineer to join our team for an ongoing project we have. You will be responsible for :

• Testing and deployment of codes/jobs in Production
• Automating the jobs deployed.
• Work with team to create project documentations such as Operation Manual, Training Manuals, and others in preparation for System Commissioning.
• knowledge and hands on experience of AWS GCC native services such as AWS Glue, AWS Step Function, AWS Sagemaker, etc. on GCC or commercial Cloud.
• Python and pyspark experience is a must

Admin cum data entry

Invoicing – data entry, printing, scanning and filing,reply E-mail

Liaise with Traffic Controllers to ensure Works Orders are processed accurately and submit for billing promptly

Maintain proper filing system (invoices/documents) for audit purposes

Handle any other duties assigned by the Supervisor & Manager from time to time

Requirement:

Minimum ‘N’ level or equivalent

Knowledge of Accounting & Finance will be an added advantage

Proficient in Excel

Can work overtime when required

Positive attitude and customer-oriented

Working hours:

Mondays to Fridays: 8.30am to 5.30pm

O/T allowance will be given

Company transport provided. Reimbursement of Taxi fare for O/T.

Cindy Teng (EA Reg No: R2090544)

Active Manpower Resources Pte Ltd (EA Lic No: 06C3757

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.

Co-Development Business Unit is looking for Data Analyst

Internal Code: A24122

This is a contract role - the engagement is from January 2025 to July 2025

This is a healthcare application:

• Mobile application (iOS and Android)
• Dashboard (React)

What will you do?

Support the development and business teams in unit testing and archiving data, engineered features, and algorithmic inputs/outputs throughout the data pipeline and to support analytics.

Proven experience as a data engineer/ data analyst in mobile app development projects and administrative dashboards.

1. Create unit tests throughout the data and algorithms domain:

• Work with engineering and business teams to implement wide-coverage unit tests of data and engineered features at different stages throughout the data collection and processing pipeline
• Create unit tests of inputs to and outputs from the algorithms that drive the clinical service
• The unit tests include validation of the inputs and outputs of black-box machine learning algorithms
• Establish a regular process to execute the tests and document their outcomes as a part of our product development and release lifecycle

2. Implement and refine mechanisms to continuously archive the state of algorithmic inputs and outputs:

• Implement a process of taking snapshots of data/features input into algorithms necessary to recreate their outputs/predictions at any point in the past during the service
• Communicate requirements to the software development team

3. Assist in the successful elivery of regular service analytics and reports:

• Support the business and analytics teams in their daily and weekly delivery of reports on data completion, user engagement, and algorithm actions by addressing any data quality and validation requirements.

What are we looking for?

• Bachelor's Degree in computer science, engineering, business analytics, technology, or a related field.
• Minimum of 2 years of experience in data engineering, data analytics, or data product management roles within the tech industry. Experience in healthcare is a plus.
• Ability to implement tests in Python.
• Experience in machine learning algorithms
• Good understanding of the validation requirements of an algorithmic product. Knowledge of healthcare regulation and auditing requirements is a plus.

What do we offer in return?

• 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 () 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.

The Role

The Data Engineer will be part of the data engineering team. He/she will design and develop high quality data products - data warehouse, data marts, data lake and data hubs; either on cloud or on-premises system environments.

Job Responsibilities

· Build and support data pipelines and all associated Software Engineering infrastructure tasks.

· Liaise with clients, technical architects, data architects, data scientists and BI analysts to gather requirements.

· Analyse data requirements, prepare functional and non-functional specifications for the data products.

· Develop the data pipeline using either ETL or ELT approach to load or synchronise data in near real time or batch mode.

· Analyse and interpret data into business insights.

· Design and develop the dashboards and visualizations using the BI tools.

· Ability to understand and convert the business logics into SQL queries and validate it against the data.

· Prepare Test Plans and conduct Unit Test, System Integration Test, User Acceptance Test and Performance Test.

· Implement deployment approaches and methods to roll-out the system changes.

· Stay up to date with industry standards and technological advancements that will improve the quality of the data products.

Job Requirements

· A keen learner with a minimum Bachelor’s Degree in Computer Science or related fields.

· At least 2 to 3 years of end-to-end data warehouse, data lake and big data implementation experience.

· Proficient with at least one or more of the following technologies: Informatica, SSIS, SQL Skills, SQL Server, AWS, Data Warehouse, ETL Framework.

· Preferably possess a good knowledge about: Power BI, Qlik Sense, MicroStrategy, SAS and Tableau.

· Able to work under pressure when there is an escalated demand in the project cycle.

· Understand the solution requirements and progress to develop, build and operationalise the solutions.

· Enjoy problem solving in different domains and industries.

· Love working with a highly energetic and competent team.

· A self-starter with an analytical approach to problem solving.

· A client-centric, outcome driven and quality focused team player.

· Excellent communication; both in written and spoken English.

Office Location : Central

Hybrid working arrangement

**We regret that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**

Responsibility

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:

Design and build the DWH database models (star schema).

Manage the semantic model in Oracle Analytics Cloud to provide a unified view of our organization's data.

Manage application roles and access rights for end users including row level security filters, to protect sensitive data.

Work with ETL specialists, IT business Consulting as well as external vendors to ensure data ingestion and integration into the database model

Collaborate with Business Controlling and business counterparts on new reporting requirements.

Ensure data quality, security and compliance with industry standards and internal guidelines.

Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.

Skills

Looking for a Data Engineer more focused on Database modelling, Currently in Oracle environment and going forward with GCP stack.

Proficiency in SQL and data warehousing

Strong understanding of data modelling techniques and hands on experience building database models (star schema).

Expertise with ETL (extract, transform, load) processes. Familiarity with BI tool integration such as Tableau or Looker

Strong analytical thinking, problem-solving capability, and ability to translate business needs into technical specifications.

Customer-oriented with good communication and interpersonal skills.

We are looking for data processors to process, verify and organize surveyed data for reporting purposes. Fresh graduates are welcome to apply as on the job training will be provided.

Job Scope

• To process, verify and organize surveyed data
  • To identify errors in data
  • To perform data analysis
  • To prepare survey drawings using AutoCAD software
  • To generate reports for submission to Authorities
  • Other related duties as assigned

Requirements

• Fresh Diploma or Degree Graduates
• A good team player
• Proficient in Microsoft Excel
• Good Results and Strong Interest in Mathematics
• Meticulous / Pay attention to details
• Desk-bound job
• Fast learner
• Start immediate or within short notice

Work Location

Singapore

Ubi – Near Tai Seng MRT (Circle Line)

Working Hours

8.30am to 5.45pm (Monday to Friday)

Remarks

• Pleasant and Dynamic Work Environment
• Annual & Medical Leave Benefit
• Insurance Coverage including Personal Accident, Hospital & Surgical
• Good Career Progression
• Competitive Salary Package
• Annual Increment and Bonuses

Responsibilities:

• Design and implement robust, scalable data pipelines and architectures to support data ingestion, processing, and storage. Including performance optimizations for data modeling and ingestion
• Develop and optimize complex SQL queries and stored procedures for data extraction, transformation, and analysis.
• Model data to meet different use casesng applications and automate data workflows.
• Collaborate with data scientists and analysts to understand data requirements and deliver high-quality data solutions.
• Lead the integration of data from various sources into data lakes and warehouses, ensuring data quality and consistency.
• Monitor and troubleshoot data pipelines and workflows to ensure optimal performance and reliability.
• Communicate with and support data users
• Document data processes, data models, and architectural designs to ensure knowledge sharing and compliance with best practices.

Prerequisites:

• Experience: Minimum 3 years in data engineering fields with system integration, and at least 1 year in system integration and implementation in cloud/web-based environments.
• Proven Solutions: Demonstrated experience in providing effective, working solutions and implementations, particularly in cloud-based environments.

Technical Skills:

• Solid understanding of ETL processes, data warehousing concepts, and data modeling best practices.
• Proficiency in Databricks, Azure Data lake, PowerBI, Tableau and related data processing and visualisation software.
• Familiarity with Windows, Linux, AWS and/or Azure platforms.
• Strong programming skills in languages such as Python and R is a must
• Proficiency in other programming languages such as Java, Scala and C# will be advantages
• Experience in data processing frameworks (e.g., Apache Spark, Apache Flink)

Preferred Exposure:

• Experience with large-data management system with visualisation tools.
• Experience with Data Integration and ETL Pipelines, Data Warehousing and BI reporting projects.
• Experience with Singapore Government Project will be advantages

Personal Attributes:

• Excellent problem-solving skills
• Ability to work independently
• Collaborative in a fast-paced environment

Why Join Us?
Be part of a forward-thinking team that is transforming government digital services. If you are passionate about technology and innovation, and thrive in a dynamic environment, we want to hear from you!

If you are passionate about building partnerships and driving growth, we would love to hear from you!

Toppan Ecquaria is an equal opportunity employer and values diversity within our company. We welcome all interested candidates to apply for this position, however, we regret to inform that only shortlisted candidates will be contacted by us for an interview.

Find us at www.topppanecquaria.com or www.linkedin.com/company/toppan-ecquaria

For more career opportunities, please visit our career site at:- https://toppanecquaria.com/careers/job-openings?utm_source=Jobstreet&utm_medium=Page&utm_campaign=2020 (Please copy & paste the above link onto your browser)

Job Description & Requirements

Responsibilities

Analyze and organize raw data

Build data systems and pipelines

Evaluate business needs and objectives

Interpret trends and patterns

Conduct complex data analysis and report on results

Prepare data for prescriptive and predictive modeling

Build algorithms and prototypes

Combine raw information from different sources

Explore ways to enhance data quality and reliability

Identify opportunities for data acquisition

Develop analytical tools and programs

Collaborate with data scientists and architects on several projects

Requirements and skills

Previous experience as a data engineer or in a similar role

Technical expertise with data models, data mining, and segmentation techniques

Knowledge of programming languages (e.g. Java and Python)

Hands-on experience with SQL database design

Great numerical and analytical skills

Degree in Computer Science, IT, or similar field; a Master’s is a plus

Data engineering certification (e.g IBM Certified Data Engineer) is a plus

2. SKILLS

Data Analysis

Analytical Skills

Pipelines

Segmentation

Hadoop

Architects

ETL

Data Quality

Reliability

Data Engineering

Data Mining

SQL

Predictive Modeling

Python

Database Design

Java

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

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

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

Job Description

Key Responsibilities:

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

Job Requirements

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

BIPO Service (Singapore) Pte. Ltd.

EA License No. : 18S9180

We are seeking a highly skilled and motivated Data Analyst to join our Technology team. The successful candidate will play a pivotal role in analysing detailed processes, functional and data requirements, drafting functional design and data specifications, and supporting testing and implementation to align with the future footprint of Investments and Finance systems. You will collaborate with business stakeholders in Insurance sites to ensure their requirements are effectively met.

Key Responsibilities

1. Solution Design: Collaborate with the Global Program team to analyse, review, and design solutions for INSP Investment Services to meet the requirements of INSP Singapore Insurance.
2. Data Integration: Partner with delivery teams and source system teams to ensure the timely and accurate extraction of new data fields as required.
3. Testing & Issue Resolution: Conduct System Integration Testing (SIT) and System Testing on system builds. Liaise with IT to resolve issues identified during User Acceptance Testing (UAT) or establish workaround solutions.
4. Regulatory Compliance: Operate within a highly regulated environment, working closely with Financial Controls and engaging with key stakeholder groups, including Group Finance Operations Centers (GFOC), Finance senior managers, and Accounting Policy teams.
5. Control Framework Implementation: Streamline processes, reduce manual interventions, and implement automated controls to enhance the overall control framework.
6. Documentation & Training: Prepare comprehensive system documentation, user manuals, and provide training to end-users when required.

Qualifications & Skills Required

• Experience: At least 5 years of experience in Insurance, Investments, or Finance transformation functions or IT, with the ability to interpret data attributes and system logic in Insurance Policy Administration and Investment Fund Management systems.
• Project Expertise: Proven track record in Finance projects involving data tables, extracts, and reporting, with a strong focus on meeting business reporting needs and solving business problems.
• Technical Knowledge: Familiarity with Google Cloud Platform and BI reporting tools.
• Analytical & Problem-Solving Skills: Demonstrated ability to adopt inclusive approaches, achieve consensus on complex issues, and think independently and innovatively.
• Stakeholder Management: Strong influencing skills and experience managing local stakeholder relationships and delivery partners to drive change effectively.

We are seeking a highly skilled and motivated Data Analyst to join our Technology team. The successful candidate will play a pivotal role in analysing detailed processes, functional and data requirements, drafting functional design and data specifications, and supporting testing and implementation to align with the future footprint of Investments and Finance systems. You will collaborate with business stakeholders in Insurance sites to ensure their requirements are effectively met.

Key Responsibilities

1. Solution Design: Collaborate with the Global Program team to analyse, review, and design solutions for INSP Investment Services to meet the requirements of INSP Singapore Insurance.

2. Data Integration: Partner with delivery teams and source system teams to ensure the timely and accurate extraction of new data fields as required.

3. Testing & Issue Resolution: Conduct System Integration Testing (SIT) and System Testing on system builds. Liaise with IT to resolve issues identified during User Acceptance Testing (UAT) or establish workaround solutions.

4. Regulatory Compliance: Operate within a highly regulated environment, working closely with Financial Controls and engaging with key stakeholder groups, including Group Finance Operations Centers (GFOC), Finance senior managers, and Accounting Policy teams.

5. Control Framework Implementation: Streamline processes, reduce manual interventions, and implement automated controls to enhance the overall control framework.

6. Documentation & Training: Prepare comprehensive system documentation, user manuals, and provide training to end-users when required.

Qualifications & Skills Required

1. · Experience: At least 5 years of experience in Insurance, Investments, or Finance transformation functions or IT, with the ability to interpret data attributes and system logic in Insurance Policy Administration and Investment Fund Management systems.
2. · Project Expertise: Proven track record in Finance projects involving data tables, extracts, and reporting, with a strong focus on meeting business reporting needs and solving business problems.
3. Technical Knowledge: Familiarity with Google Cloud Platform and BI reporting tools.
4. Analytical & Problem-Solving Skills: Demonstrated ability to adopt inclusive approaches, achieve consensus on complex issues, and think independently and innovatively.
5. Stakeholder Management: Strong influencing skills and experience managing local stakeholder relationships and delivery partners to drive change effectively.

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

EA Registration No: R22105541, TAY ZHIHENG, DARIUS

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544

Job Description:

• Collaborate with stakeholders to define business and information needs.
• Translate business requirements into analytics and reporting specifications.
• Optimize and automate data collection processes.
• Extract insights from raw data and present findings clearly through reports and visualizations.
• Assist with daily operational tasks, including application and server support.
• Support the sales and marketing teams in presales activities for potential customers.

Job Requirements

• Bachelor’s Degree or Diploma in Business Analytics, Computer Science, Data Analytics, Information Technology, or a related discipline.
• 1-3 years of hands-on experience in data science or data engineering is preferred.
• Strong oral and written communication skills.
• Proficiency in Python, R, or another programming language.
• Experience with various databases (e.g., MSSQL, PostgreSQL, Oracle DB).
• Solid understanding of data analytics and processing tools such as Power BI, MicroStrategy, and Robotic Process Automation (RPA) is preferred.
• Proven experience in operationalizing end-to-end data analytics solutions.
• Familiarity with cloud services, particularly Amazon Web Services (AWS), is a plus.

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

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

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

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

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

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

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

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

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

Performance Tuning and Optimization:

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

Security and Compliance:

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

Data Extraction Requests:
- Assist with data extraction requests

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

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

Role Purpose

• Responsible for information requirement and business analysis, data modeling, and providing data model and message schema standards that satisfy the business requirements.
• Responsible for the Solution Architectures that satisfy the business requirements of projects/programs aligned with the Express IT Target Architecture, Domain Roadmaps, and the IT and Security Standards.
• Responsible for defining Solution Architectures that reduce IT complexity through reusable, supportable, extensible, and cost-efficient solutions.
• Responsible for the architecture implementation working closely with project IT teams through the complete project lifecycle: from inception to design, technology selection, build, test, and deployment.
• Responsible for overseeing vendors’ architects’, ensuring compliance.
• Ensure the project benefits from reusing existing assets.
• Responsible for communicating the Solution Architecture to the project/ program stakeholders guiding the IT project teams during architecture implementation, and ensuring it is understood.
• Ensure that governance processes, including Architecture, development, and infrastructure standards and security mandates and principles, are followed.
• Responsible to the relevant Domain Architect for the alignment of the Solution Architecture with the Domain Architecture.
• Responsible to the Head of Enterprise Architecture for cross-domain solution architectures and alignment to the Express IT Target Architecture.
• Contributor to the evolution of the Enterprise Architecture with best practices and emerging technologies.

Customer

• Member of the Global business Architecture Group.
• Build working relationships with subject matter experts (business and IT) and program management to scope, specify and develop an appropriate Solution Architecture.
• Build working relationships with the Integration and Data architects to achieve an implementable Solution Architecture aligned with the IT and Security Standards.
• Build working relationships with Business representatives and IT representatives to gain sufficient understanding of the Business needs and variance to allow a clear definition and optimization if required of a Solution Architecture.
• Identify and document all aspects/views of the solution.
• Review project documentation to ensure compliance with the Solution Architecture. Ensure that the designs are consistent with the overall Express IT Target architecture.
• Track; provide visibility to architecture exceptions to Enterprise Architecture. Raise and document the exceptions.

Stakeholder

• Responsible to the Domain Architects for the implementation of the Domain Architecture and Standards.
• Responsible to the project/program manager for the specification of a Solution Architecture that satisfies the business requirements implementable within the constraints of budget and timelines.
• Working relationships with other members of the architecture teams to seek alignment and leverage opportunities across DHL Express.
• Propose Global Enterprise Architecture best practices that result from the IT solution implementation.
• Ensure the architecture governance and touch point processes are followed during the project lifecycle.
• Identify areas of sunset in the Domain IT landscape view and propose the Enterprise Architecture simplification strategies.

Process

• Responsible for the realization of the IT Solution Architecture of projects.
• Contribute to the development and realization of the divisional target architecture.
• Provide impact analysis on potential changes to the solution architecture e.g. as a result of changes in the business requirement or IT solution.

Job Requirements

• Advanced University Degree in Computer Science or Information Systems or equivalent education.
• Architecture certifications from the information systems professional body are preferred.
• Preferably 8 years of multi-disciplined IT experience including:
  5 years of Architecture responsibilities in large, sophisticated organizations with high volume/high transaction environments; Ideally Logistics, Airlines, Supply Chain, and Transportation industries.
• Experience in Agile methodology is required.
• Development experience in a team that has provided world-class results, specification, and configuration of systems, and interfaces, including data and performance analysis across large multi-national organizations.
• Experience in Automated Sort and Clearance arenas.
• Expertise in Service Oriented Architecture (SOA), including Event management, Business Process Management, Business Rules Engine, and Complex Event Processing with exposure to Digitalisation and Cloud implementations.
• Knowledge of operational processes in Logistics Hubs and Gateways is a plus.
• Able to gather and assimilate information needed for the analysis of a solution architecture; analyses and defines functional and technical requirements; prepares architectural requirements documentation.
• Identifying and understanding issues, problems, and opportunities; comparing data from different sources to conclude; using effective approaches for choosing a course of action or developing appropriate solutions; taking action that is consistent with available facts, constraints, and probable consequences.
• Establishing courses of action for self and others (i.e., IT suppliers) to ensure that architecture is developed and implemented efficiently.
• Accomplishing architecture tasks by considering all areas involved, no matter how small; showing concern for all aspects of the job; accurately checking processes and tasks; being watchful for deviations in quality.
• A strategic thinker with the imagination and foresight to conceptualize new technological solutions and products that address the core business objectives, whilst remaining pragmatic with implementable solutions.
• Energetic, enthusiastic, and results-oriented.
• Committed to “best practices” and best-in-class architecture frameworks and development methodologies enabling to position business as a leader and innovator in the marketplace.
• In depth technical background with solid accomplishments in delivering solutions against a set of architectural principles.
• Superior communication skills with technical and non-technical senior management.
• Ability to work in a team, with strong partner/supplier management skills.
• Ability to overcome the complexities involved in changing processes and implementing new technologies, and the resulting impact on people and the organization.
• Ability to focus on what is important for the organization as a whole whilst operating within a level of organizational ambiguity.
• Experience in a regional or global capacity role is preferred.

Job Responsible

1) Design, build and maintain data pipelines and architecture in a centralized data lake environment.

2) Enhancements, new development, defect resolution and production support of Big data ETL development using AWS native services.

3) Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, RDS, S3, Athena

Job requirement:

A bachelor degree in a relevant field.

Hands-on experience with data lakes, ETL processes, data modeling, and cloud databases.
• Proficiency in programming languages like Python, Pyspark, R, SQL, or VBA.
• Experience with cloud platforms (AWS CLI, SDK API , Salesforce Service Cloud).
• Experience with automation tools (UiPath, Microsoft Power Automate, PowerApps).

Good communication skills.

The Role

The Data Scientist will implement cohesive data integration and analytics solutions involving both structured and unstructured data. Projects will include development of predictive, forecasting or operation research (optimisation) models as well as text mining and network analytics solutions.

Job Responsibilities

· Primarily responsible for applying the skills and knowledge gained about data analysis, analytics, data science to ensure the successful delivery of client engagements and initiatives within our Data and Analytics practice.

· Develop and manage the end-to-end lifecycle of analytics projects from requirement, data scoping, modelling to production (model deployment and monitoring).

· Attend and assist in facilitating project meetings / workshops with client working team members.

· Propose, implement, and validate algorithms, ensuring functional and non-functional requirements such as transparency, fairness, scalability, security, integration complexity and operational costs.

· Participate in software development processes and best practices, documentation of requirements and software codes during the software development lifecycle.

· Produce high quality deliverables/document, with-ready-to-use content.

· Drive a module or task within a project on their own with minimal supervision.

· Prepare user requirements and any data development work including documentation.

· Proactively perform research on the business, industry and functional domain of the client to stay up to date.

· Assist in developing project deliverables and assets such as templates, processes, reports, and presentation decks for the client based on the work assigned.

Job Requirements

· Bachelor’s degree in computer science, Mathematics, Statistics, Business Analytics or equivalent.

· Data Scientist – at least 2 years’ experience in data analytics fields/ML.

· Experience in data processing, feature selection, hyper-parameter optimization, model validation and visualization.

· Experience in data analysis / numerical computing / classical ML tools like Pandas, NumPy/SciPy, Scikit-Learn, or XGBoost.

· Able to develop SQL queries and working with data models.

· Experience in production software engineering routines such as test-driven development, code versioning with Git, conducting code reviews, and CI/CD.

· Familiar with object-oriented programming concepts and their application to data science pipelines.

· Deep and eager interest in emerging technologies and the ability to leverage the technologies into solutions to meet our strategic and operational client needs.

· A self-starter with an analytical approach to problem solving.

· A client-centric, outcome driven and quality focused team player.

· Detailed oriented and is able to work in fast paced and agile environment.

· Excellent communication skills; both in written and spoken English.

Office Location : Central

Hybrid working arrangement

**We regret that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**

Job Description:

• Data Analysis and Interpretation: Perform in-depth analysis of structured and unstructured data sets to identify trends, patterns, and valuable insights that drive business decisions and strategies.
• Data Visualization and Reporting: Develop intuitive and visually appealing dashboards, reports, and presentations to communicate complex data analyses to stakeholders, enabling data-driven decisionmaking at all levels of the organization.
• Data Modelling and Transformation: Design, implement, and maintain data models, ETL pipelines, and data integration processes, ensuring data accuracy, integrity, and accessibility.
• Data Quality Assurance: Implement rigorous data validation and cleansing procedures to ensure the accuracy and reliability of the data used for analysis and reporting.
• Identify Data Needs: Collaborate with stakeholders across various departments to understand their data requirements and deliver insights that align with their business objectives.
• Continuous Improvement: Stay abreast of industry trends and best practices in data analysis and engineering. Suggest and implement process improvements to enhance data quality, efficiency, and overall performance.
• Data Security & Compliance: Implement, maintain, and monitor data security and privacy measures on data platform.
• Cross-functional Supports: Collaborate with other teams to ensure the successful execution of projects and initiatives.
• Operational supports: Maintain and support day to day operational on data platform, including:
• Monitoring data pipelines, databases, and analytical processes to ensure smooth and continuous operation.
• Identify and resolve data-related issues, performance bottleneck, and data quality problems promptly.

Job Requirements:

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• At least 5 years’ working experience in data platform, data analytics or relevant projects.
• Proven experience as a Data Analyst, with a track record of translating complex data sets into actionable insights.
• Strong proficiency in data visualization tools (e.g., Tableau, Power BI, or similar) to create compelling data visualizations and reports.
• Solid programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
• Prior experience as a Data Engineer, with a demonstrated ability to design and implement data models, ETL processes, and data integration solutions.
• Familiarity with cloud-based data platforms (e.g., Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent) and data storage technologies (e.g., SQL databases, NoSQL databases).
• Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud (Dataphin) is a plus.
• Excellent problem-solving skills and the ability to work with large, complex data sets.
• Strong attention to detail, ensuring data accuracy and reliability in all analyses.
• Effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Certified in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks or equivalent.

Please send your detailed resume in MS Word format to : [email protected]

Stating your notice period / earliest available commencement date, Current & expected salaries.

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

Responsibilities

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

Qualifications:

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

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

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

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

About the Company

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

Roles & Responsibilities

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

Key Responsibilities

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

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

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

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

Qualifications / Requirements

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

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

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

• Excellent communication skills, with proficiency in English.

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

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

Benefits

• Flexible working hours

• Yearly Bonus

• Medical Insurance Coverage

• Staff Discounts

• Corporate Discounts at participating F&B and Retail Outlets

• Fast Career Advancement Opportunities

• Multi-Industry Exposure

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

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

1. Data processing from reading taken in fieldwork.

2. Training in engineering software will be provided.

3. Basic computer skills, able to use MS Office.

4. Highly motivated, must be able to work well collaboratively or independently.

5. Attention to detail, responsible, and well organized

Perform Data Analysis/ Build/ Test and release activites report

- work close with others stakeholder ( IT, Data Management and Governance, Data Scientis and Business units) to produce accurate data products.

Skills Need :

- Min 3 years experience in Business Intelligence/ Data Analytics.

- Must have strong technical and analytics Skills

- Min 4 yrs experience in Tableau/ Power BI/ Qlink Sense/ MSBI

- Min 2 years SQL Experience

- Experience in cloud Data management - Azure / AWS/ Government Commercial Cloud.

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

Job requirement

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

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

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

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

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

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

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

Key Responsibilities

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

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

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

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

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

• Automate trend analysis and forecasting using machine learning techniques.

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

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

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

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

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

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

• Engage with stakeholders to understand complex business requirements.

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

Qualifications

• Education:

• Bachelor’s in Computer Applications or related field.

• Technical Expertise:

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

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

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

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

• Certifications (Preferred):

• Qlik Sense Business Analyst Certification.

• Qlik Sense Data Architect Certification.

• Experience:

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

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

Job Summary:

We are seeking a talented and motivated Data Engineer to join our Software Engineering team. In this role, you will play a key part in designing, developing, and maintaining ETL processes using the Talend ETL toolset. You will work closely with team members to extract, transform, and load data from diverse sources, ensuring data integrity and quality. This position offers the opportunity to work on cutting-edge technologies like Hadoop, Spark, and Python, while contributing to impactful projects.

Key Responsibilities:

· Design, develop, and maintain ETL jobs using the Talend ETL toolset.

· Create ETL pipelines to extract, transform, and load data from multiple sources, including Cloudera, PostgreSQL, and SQL Server databases.

· Develop and optimize database tables and apply constraints to meet business requirements.

· Collaborate with team members to analyse source system structures and data retrieval methods.

· Support the development of data transformation logic using SQL, Python, and other scripting languages.

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

· Work with the team to implement data quality improvement plans.

· Troubleshoot data integrity and process issues to ensure efficiency and accuracy.

Technical Skills & Experience Required:

· Hands-on experience with Talend ETL tools (e.g., Talend Studio).

· Strong programming skills in Python and experience with Apache Spark.

· Proficiency with Hadoop ecosystem tools, including Hive, Impala, and HDFS.

· Solid understanding of data warehousing and data modelling techniques.

· Familiarity with relational databases such as PostgreSQL, SQL Server, and distributed systems like Cloudera.

· Experience with data visualization and analytics tools (e.g., Tableau, Power BI, etc.).

Qualifications:

· Bachelor’s degree in computer science, Mathematics, Engineering, or a related field.

· Strong interpersonal skills with a collaborative mindset.

· Excellent communication skills to interact with team members and projects effectively.

· A positive attitude and a proven ability to work within a team-oriented environment.

Soft Skills:

· Team player with strong problem-solving skills.

· Willingness to learn and adapt to evolving technologies.

· Ability to work under minimal supervision and meet project deadlines.

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

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

Primary responsibilities will include:

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

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.