Overall (10) years of IT / Data Engineering experience.

At least (3) years of relevant experience in:

• Business Requirement Analysis
• Business Process and System Understanding
• Effective Communication with both business and technical users
• Conversant in Microsoft Office products

At least (2) years of hands-on experience as Azure Data Engineer using:

• Azure Data Factory
• Azure Synapse Analytics / Datawarehouse

At least (3) years of hands-on experience in:

• Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing
• Implementing Data Quality validation
• Good to have following skills
• Knowledge of Azure Databricks
• Data modelling in Azure Analysis Services using star and snowflake schema
• Python Coding Experience

Required qualifications Bachelors of Engineering

JOB DESCRIPTION

• Define key metrics for governance to ensure compliance with data-related policies, standards, roles, and responsibilities
• Drive Data Governance and Management on an on-going basis through being the chair to the Data Governance Council
• Responsible for defining data policies and standards, managing stakeholder communication and progress reporting to leadership and executives
• Manage and coordinate all key issues and escalations around data governance
• Work closely with Data BP's s to build their engagement and stewardship of data assets
• Collaborate with our Cybersecurity and technology operations teams to implement data governance standards and best practices to improve the quality of data
• Leverage deep experience in the implementation of data governance solutions in such areas as: data quality, data lineage, data glossary, data security management, metadata management, and advanced data analysis solutions
• Write data governance policies, oversee the adoption of data governance efforts, and partner with the legal and information security teams to fulfill Keppel's commitments related to reducing Data Management risks

JOB REQUIREMENTS

• An excellent communicator who can drive the process to govern data at enterprise scale as the role requires close collaboration with senior-level executives (members of DG Councils/C-Suite), business data owners, and stewards
• At least 10+ years of experience in a leadership role related to data
• At least 5 years of experience either in leading a data governance function or being part of a team that managed large-scale data governance initiatives; with expertise in data governance, data quality industry best practices and framework

Responsibilities:

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

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

Job Description: Azure Data Engineer

We are seeking a skilled Azure Data Engineer with a minimum of 2 years of hands-on experience in Azure data services. The ideal candidate will play a critical role in designing, developing, and optimizing data pipelines and analytics solutions to support our organization’s data-driven initiatives.

Key Responsibilities:

• Design, develop, and maintain data pipelines using Azure Data Factory.
• Implement and manage data integration and transformation workflows.
• Build, optimize, and maintain scalable data solutions using Azure Synapse Analytics or Azure Datawarehouse.
• Collaborate with cross-functional teams to gather requirements and deliver data solutions aligned with business objectives.
• Ensure data quality, consistency, and reliability across all data processes.
• Monitor, troubleshoot, and improve data workflows for performance and scalability.
• Stay updated on industry best practices and emerging Azure technologies to implement innovative solutions.

Requirements:

• Experience: At least 2 years of hands-on experience with Azure Data Factory and Azure Synapse Analytics/Datawarehouse.
• Certifications: Preferably holds a Microsoft Azure Data Engineer Associate certification or other relevant Microsoft certifications.
• Strong understanding of data integration, ETL/ELT processes, and data modeling.
• Familiarity with Azure cloud ecosystem and services (e.g., Azure Storage, Azure SQL Database).
• Solid experience with SQL for querying and managing data.
• Strong problem-solving skills and the ability to work independently or in a team environment.
• Excellent communication and interpersonal skills for effective collaboration with technical and non-technical stakeholders.

Preferred Qualifications:

• Experience with data governance, security, and compliance in cloud environments.
• Knowledge of scripting languages (e.g., Python, PowerShell) for automation.
• Familiarity with big data tools and frameworks within Azure.

Senior Data Scientist

In view of business expansion, our client is seeking a Senior Data Scientist based in Singapore. The Data Scientist will design, build and execute machine learning techniques on large, complex, structured / unstructured data sets to find out hidden patterns and predictive signals.

The Responsibilities:

• Identify use cases allowing to take advantage of GenAI & Machine Learning capabilities
• Define data science approaches that fit with clients’ business challenges, using state-of-the-art methods to solve problems of large dimensionality in a computationally efficient and statistically effective manner.
• Build advanced algorithms, using statistical knowledge and machine learning techniques to identify trends, patterns and predictive signals on large data sets
• Interact with business stakeholders to understand business data and analytics requirements and identify data-driven business opportunities
• Responsible for explores information from multiple diverse sources, analyzing data and gain insights into business intelligence that is actionable
• Identify and uncover new opportunities, insights, trends, and patterns from analysis to key stakeholders/decision-makers
• Stay up-to-date with the latest data science and data engineering techniques and tools
• Deploy ML models into production (either alone or working with data engineers if necessary)

The Requirements

• Degree in Computer Science, Computer Engineering or a related field
• Over 5 years expertise in Data Science
• Good applied skills with statistical programming languages such as R, Python (NumPy, pandas), SAS, SPSS etc.
• Experience with machine learning frameworks (e.g scikit-learn, Spark MLlib, Caffe, TensorFlow) and/or data science platforms (e.g. SAS, Dataiku)
• Experience of ML and LLM libraries and tools such as MLFlow, Langchain to develop GenAI applications, model experimentation and basic UI development with libraries such as Gradio or Streamlit.
• Experience with No-Code/Low-Code GenAI tools such as Langflow, Flowise, Rivet
• Data-oriented background in SQL, data wrangling and data modelling
• Exposure to data visualization tools and/or charting libraries (eg. Tableau, Qlik, D3.js, GGplot)
• Familiar with deploying Data projects into cloud (e.g Azure, AWS, GCP)
• Team player with good interpersonal and problem solving skills.
• 2 positions available

Office Location: East

Kindly indicate your current/last salary details and also your notice period

Interested candidates kindly forward your CV to [email protected] (Dorothy Ma Li, Reg No: R1769176). Feel free to forward this great opportunity to someone who would be a great fit for this role.

All information will be kept strictly confidential. We regret to inform that only successful applicants will be contacted.

PeopleSearch Pte Ltd

EA License No: 16S8057

Job Description:

A Databricks Engineer is responsible for leading the migration of on-premises data warehouses to Databricks, designing robust data architectures, and ensuring seamless data integration and governance. The role involves implementing cloud-based solutions, optimizing data workflows, and extracting insights while maintaining data security and compliance standards.

Key Responsibilities:

· Lead end-to-end data migration projects from on-premises environments to Databricks with minimal downtime.

· Design and implement solutions on Databricks within AWS environments, adhering to functional and non-functional requirements.

· Configure Databricks clusters, write PySpark code, and develop CI/CD pipelines for deployment.

· Apply optimization techniques like Z-ordering, auto-compaction, and vacuuming for enhanced performance.

· Process near real-time data using Auto Loader and DLT pipelines.

· Optimize AWS and Databricks resources for performance and cost efficiency.

· Stay updated with advancements in AWS, Databricks services, and data engineering practices to recommend improvements.

· Implement engineering methodologies, standards, and best practices.

Required Skills:

Experience:

· Minimum 5 years in data engineering, with expertise in Databricks, AWS/Azure services, or Informatica IDMC.

Technical Proficiency:

· Strong knowledge of Databricks, Python, PySpark, SQL, and NoSQL databases.

· Hands-on experience with Apache Spark, Hadoop, and cloud-based data architectures.

· Proficiency in building data pipelines using Python, Java, or Scala.

Data Management:

· Expertise in data modelling, schema design, and data governance.

Optimization Skills:

· Familiarity with techniques like Z-ordering and compaction.

Certifications:

· Databricks certifications and Informatica certifications (preferred).

Soft Skills:

· Excellent analytical, problem-solving, communication, and collaboration abilities.

Preferred Skills:

· Experience with containerization and orchestration tools like Docker and Kubernetes.

· Knowledge of data visualization tools like Tableau or Power BI.

· Familiarity with DevOps principles, CI/CD pipelines, and version control systems like Git.

· Understanding of data cataloguing tools and data governance, especially Informatica IDMC.

This role demands a proactive approach to implementing innovative solutions and optimizing workflows to ensure high-performance data engineering.

Role

a) Provide input to the development, maintenance and promulgation of the blueprints,
roadmaps and reference architectures for Data Analytics infrastructure and services.
(b) Perform analysis of new requirements and develop solutions and manage solution
delivery through acquisition or change control.
(c) Enhance our cloud capability by creating and implementing cloud application
patterns.
(d) Develop and implement ways to move apps and workloads to the cloud.
(e) Work closely with business leads and system owners to understand solution
requirements and identify architectural patterns.
(f) Write and develop cloud automation playbooks for managing and scaling containers,
hosts, cloud services, and applications.

Requirements
(a) Degree/master’s in computer science, Information Technology, Computer
Engineering or equivalent.
(b) Minimum eight (8) years’ experience in providing data warehouse or advanced
analytics solutions.
(c) Experience with
• databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Databricks)
• data repository design (e.g. operational data stores, dimensional data stores,
data marts, datalakes)
• data interrogation techniques (e.g. SQL, NoSQL).
• structured and unstructured data analytics.
• statistical computing programming language (e.g. R, Python).
• data quality tools and processes.
• data transformation and terminology equivalence mapping.

(d) Experience in data modelling for analytics (e.g. star schemas, snowflake schemas).
(e) Deep understanding of analytical models and methodologies – especially in the
context of health analytics for clinical use and clinical safety (e.g. data mining,
predictive analytics).
(f) Experience with data acquisition tools (e.g., ETL, real-time data capture, and change
data capture).
(g) Thorough understanding of ML, data analysis, data visualization, and event-driven
architecture.
(h) Exposure to the development, evolution and adherence to the architectures relevant
to the domain.
(i) Ability to work with a wide variety of report generation software (e.g. Power BI,
Tableau and OBIEE) and generate a wide variety of outputs (dashboards, scheduled
reports).
(j) The ability to work towards strict and conflicting deadlines, be able to plan and
prioritise in an environment with multiple stakeholders.
(k) Good interpersonal skills, a detail-oriented & flexible person who can work across
different areas within the team.
(l) Familiarity or experience with health informatics would be preferred.
(m) An understanding of healthcare data governance, data acquisition and data
management would be an advantage.
(n) Experience in interacting with analytics stakeholders (economists, statisticians,
clinicians, policy makers) on a business or domain level would be preferred.
1.1.3 Cloud Exposure (AWS):
(a) Strong knowledge and practical experience with AWS.
(b) Familiarity with modern cloud application architecture.
(c) Exposure to cloud managed services and microservices like Function as a Service,
Containers, and managed databases.
(d) Experience with setting up load balancers, cloud networks, and virtual servers.
(e) Infrastructure as code (IAC): Cloud formation, terraform.
(f) AWS identity and access management, integration with active directory.
(g) Familiarity with security and access control measures to control privileged access to test
and production environment.
(h) Certification in AWS Cloud Practitioner or AWS Architectation, terraform."

Responsibilities:

· Engage with clients to understand their business objectives, challenges, and requirements related to AI and Data solutions.

· Conduct discovery sessions to gather relevant information and identify opportunities where AI, LLM and Data Platforms can add value.

· Utilize knowledge of Data & AI capabilities to create compelling demonstrations tailored to client needs. Showcase how AI/LLMs can address specific use cases and deliver tangible business outcomes.

· Lead the execution of Proof of Concepts to validate the feasibility and effectiveness of solutions in addressing client requirements. Define success criteria, design POC workflows, and oversee the implementation process.

· Provide expert guidance and consultation to clients on technical aspects of Data Platforms, AI platforms, LLM technologies, fine-tuning methodologies, and model quantization techniques. Address client queries, offer insights, and recommend best practices of AI and Data Platforms

· Work closely with sales teams to support the development of winning proposals and presentations.

· Stay updated on industry trends, emerging technologies, and advancements in AI and Data domains. Share knowledge internally through training sessions, workshops, and documentation to empower sales teams and enhance organizational expertise.

· Cultivate strong relationships with clients, fostering trust and confidence in the capabilities of Data and AI platforms. Act as a trusted advisor, understanding their evolving needs and aligning solutions accordingly.

Responsibilities:

• Lead day-to-day demand generation and performance campaigns for B2B clients.
• Conceptualise, plan, and operate demand generation and lead generation campaigns through test and learn approaches.
• Develop marketing automation programs, including building email nurture logic, lead qualification/scoring processes through the marketing funnel.
• Manage email marketing programs and website CMS builds.
• Implement campaigns across social media platforms (Facebook, Twitter, Instagram, LinkedIn, etc.) and advertising (display, SEM, social advertising, etc.) from setup, optimisation to reporting.
• Contribute to building our performance offerings and capabilities across email, CRM, display, search, and social.
• Provide sound counsel to internal stakeholders and external clients.
• Execute solid project management and time management skills in managing multiple briefs.
• Manage content production delivery required for demand generation campaigns, including but not limited to thought-leadership articles, whitepapers, sales toolkits, customer case studies, and other high-value asset development.
• Stay abreast of inspiring, cutting-edge trends and developments in digital or client industries.
• Contribute to new business development processes and organic client growth.
• Proactively improve processes, operations, best practices, and address emerging issues.
• Design, monitor, and report on measurements and KPIs on client’s dashboard such as Google Data Studio.

Qualifications:

• Minimum 2 years of experience in social media, media, advertising, or B2B digital marketing-related fields.
• Possess data-driven qualities; detailed understanding of analytics across channels with the ability to synthesize data from many sources into actionable insights.
• Good understanding of Google Analytics; knowledge in Adobe Analytics, Adobe Experience Manager is a plus.
• Experience in Account-Based Marketing (ABM) or account-based marketing platforms such as Demandbase is a plus.
• Basic knowledge of SEM, SEO, CRM, and CMS.
• Strong interest in performance marketing.
• Integrated thinking and ability to connect digital channel ecosystems.
• Able to adapt to new conditions and a fast-paced environment.
• Self-motivated and self-starting personality.
• Enjoys diverse and multi-cultural working environment.
• Able to work both independently, as part of a team, and with senior leaders.
• Capable of managing multiple tasks concurrently in a deadline-driven process.

• Be part of a team to build and maintain data systems or pipelines.
• Perform setup, installation, configuration, troubleshooting and/or upgrade for COTS products.
• Develop or implement ways to improve data warehouses, data lakes or equivalent platforms.
• Involve in the creation of documentations e.g. design documents, troubleshooting guides etc.

Requirements

Education / Experience:

Diploma/Degree in Computer Engineering/Computer Science/Information Technology or related technical discipline

Preferably 1 - 4 years' of working experience in related fields.

Skill Sets:

Knowledge and/or experience in data management or data engineering

Experience with Linux commands and shell script

Knowledge and/or experience in relational (including SQL) or NoSQL database (e.g. document, graph)

Knowledge and/or experience in one or more of the following will be an advantage:

• Data / Search / Automation platforms such as Hadoop, Elasticsearch, Ansible respectively
• Data integration tools such as Talend, DataStage, Denodo
• Programming languages such as Python, Spark
• Microsoft Azure Cloud services such as Azure Data Factory, Azure Synapse Analytics
• Analytics platforms such as Databricks, Dataiku, Data Robot

Good problem-solving skills

Able to work independently and as a team

Maltem Singapore is currently seeking Data Engineers for our Wealth Management Client.

Summary:

The successful candidate will be involved in the creation of solutions for Data Services automation.

Skillset Requirements:

• Possess a degree in Computer Science/Information Technology or related fields.
• Proficient in Python
• SQL
• PL/SQL
• CICD.
• Familiarity with Data Warehouses such as Snowflake AND Oracle.
• Strong analytical and problem-solving skills.
• Good team player and communication skill.

Good-To-Have:

• Denodo

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

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

Education & Experience:

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

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

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

Role Summary: The Data & AI Project Manager is responsible for leading data analytics and AI initiatives across both internal and external teams, ensuring that all projects align with the agency’s strategic goals and deliver valuable insights. This role manages the lifecycle of data and AI projects, from planning and development through to implementation and optimization, working with both vendors and internal data specialists.

Key Responsibilities:

• Vendor and Internal Team Coordination:
  • Manage relationships with external data and AI vendors while also leading internal data teams (local or overseas) to align on project priorities, timelines, and deliverables.
  • Facilitate collaboration between internal and vendor teams, ensuring clear roles and responsibilities and efficient information flow.
  • Regularly review and manage the distribution of work between internal teams and vendors to optimize resources.
• Data Strategy and AI Project Management:
  • Develop and drive a comprehensive data and AI strategy, identifying projects that provide the highest business value.
  • Define project KPIs, set clear success criteria, and establish metrics to measure the effectiveness of both in-house and outsourced data/AI initiatives.
  • Ensure alignment of all data initiatives with business needs, prioritizing projects based on their impact on business performance.
• Requirements Documentation and Solution Design:
  • Work closely with stakeholders to capture data requirements and document them into actionable project plans for internal teams and vendors.
  • Provide guidance on technical requirements, data integrity, and quality standards for AI models and analytics projects.
• Quality Assurance and Validation:
  • Oversee quality assurance for data and AI outputs, ensuring deliverables are accurate, reliable, and aligned with strategic objectives.
  • Lead UAT and feedback loops with stakeholders, coordinating with both vendors and internal teams for adjustments and refinements as needed.
  • Implement validation processes to confirm the accuracy of insights, allowing business teams to confidently apply findings.
• Reporting and Continuous Improvement:
  • Track and report on project outcomes, including impact assessments, user adoption metrics, and ROI for each AI and data project.
  • Encourage knowledge sharing between internal and vendor teams, implementing a continuous improvement process for data practices and AI model accuracy.

• Required skills include 3+ years of experience in the implementation, maintenance and analysis of data center facilities, hardware, communications infrastructure, strategies, tools and effective troubleshooting techniques.
• Basic background on enterprise data center facilities and infrastructure environments such as PDUs, RPPs, network and SAN infrastructures. In depth knowledge on complex, Enterprise class inter-networked environments involving a combination of switched/routed/shared Ethernet, TwinAx (100GigE, 25GigE,10GigE, GigE, 100M, and 10M), token ring, SAN, and wide area connectivity.
• Strong knowledge of WAN technologies (OC-x, DS-x), subnetting and TCP/IP protocol a must.
• Excellent communication and writing skills a must.
• Knowledge of trouble ticketing systems, change control, Project processes and associated tools.
• Logical problem- solving techniques and associated experience in system, data center facilities, and telecommunications.
• Experience with project management.
• Financial Services industry knowledge a plus.

KEY RESPONSIBILITIES

• Installing/de-installing/relocating all distributed systems and network hardware (CSUs, DSUs, routers, switches, encryptors, firewalls, etc.) in the Americas Data Centers within the internal service level mandates
• Installing/de-installing /extending/relocating/testing all carrier circuits to the network hardware
• Installing/de-installing/relocating all patch cabling for systems and network hardware
• Installing/de-installing/relocating all Data Center hardware
• Assist with the coordination of cabinet power, circuit, and patch infrastructure installations w/various facilities, electrical and communications vendors
• Assist with the coordination of network component configurations
• Coordinate and Install SAN cabling infrastructure
• Managing network ports and assist with the management of all consumable items (cables, labels, tie wraps, rail kits, etc.)

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

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

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

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

Technology Solutions Office is looking for Data Analyst

Internal Code: A24040

What will you do?

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

What are we looking for?

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

What do we offer?

• Fun working environment
• Employee Wellness Program

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

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

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

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

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

Location:

Macpherson

Working Hours:

12.30pm - 9.30pm (M-F), 12.30pm - 6pm (S)

Salary:

$1700

Job Scope for Lab Assistant:

• Follow all laboratory protocols and policies in checking specimens (e.g. blood, stool, urine, etc) received & make sure that names tally with the request forms for testing.

• Assist in the care and maintenance of lab work area, furnishings & equipment.

• Follow test requirements of reference laboratory & procure appropriate specimen for testing.

• Perform bar coding samples & processes laboratory specimens received from patients under prescribed laboratory guidelines.

• Utilize lab information system (LIS) to register patients, retrieve results & print reports.

• Maintains adequate level of supplies in the work area.

• Receives requested stock items & distributes them to the appropriate place within the laboratory

• Aliquoting of urine samples

Job Scope for Data Entry Assistant:

• Enter patient’s information & order laboratory tests into the Laboratory Information System (LIS).

• Recognize & correct inaccurate or missing information on the laboratory requisitions

• Communicate with clients, co-workers & management.

• Perform other duties, e.g. assists with specimens reception, as assigned.

Requirements:

Min. N or O level

No experience needed

WA me at https://wa.me/+6584998483 NOW!

Interested candidates, please submit your resume to [email protected]

JeAnn Leow

Outsourcing Team

Recruit Express Pte Ltd (EA Licence No.: 99C4599)

Our Client:

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

Responsibilities:

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

Requirements:

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

For interested applicants, please click "Quick Apply”

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

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

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

As a Data Engineer, you will be required to:

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

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

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

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

• Analyst to build scalable data-driven products.

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

• Bridge the gap between engineering and analytics.

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

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

EXPERIENCE AND SKILLS NEEDED

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

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

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

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

• Knowledge about system design, data structure and algorithms

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

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

• Comfortable working in both windows and linux development environments

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

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

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

• Mart, Data Lake, and Data Warehouse.

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

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

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

• Familiar with BI Tools such as Tableau

• Familiar with Docker containers

Job Summary:

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

Responsibilities:

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

Qualifications and Skills:

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

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

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

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

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

Preferred Qualifications:

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

Knowledge of process improvement methodologies and capacity planning.

5 days | Mon - Fri | Central Area

Responsibilities & Duties

Account

• Maintaining accounting and related records (HongKong , Korea, UK,

Netherlands, Germany etc.)

• Completing the periodic and annual audit

• Ensure payments are checked, verified, authorised and approved

• Timely preparation and closing of accounts

• Support and advise project team on financial & accounting matters

• Review and implementation of accounting procedures and policies

Admin

• Manage general communication such as post, deliveries, couriers, etc.

• Manage supply of stationery and other office supplies

• Coordinate the travel arrangements for office on their travel arrangements

and logistics (bookings, visa applications, invitations letters)

Tee Xin Li Reg No: R24121619
The Supreme Hr Advisory Pte Ltd EA No: 14C7279

Always feel like YOU have the ability to shine?

Just Graduated/ORD-ED/ Looking for a Change?
Look no further!

As the leading industry expert, Euphoria Organisation is the go-to outsourced sales and marketing firm that renowned businesses rely on to increase their market share and brand awareness.

We are now expanding and looking to groom the next leaders of the industry and bring their careers to greater heights.

Responsibilities:

• Conduct sales and marketing strategies via face-to-face marketing channels to potential clients
• Support and enhance the team's business growth

You can look forward to:

• A Competitive Salary & Performance Bonuses
• 1-on-1 Mentorship
• Career Advancement and Progression
• Personal Development
• Overseas Exposure
• Dynamic Working Culture

Requirements:
* Adaptable & Determined
* No Experience Required as Training is Provided

Apply now if you are the next big thing out there :)

Key Responsibilities

Business Understanding

• Conduct thorough business requirement analysis to bridge the gap between business needs and technical solutions.
• Understand business processes and systems to support various functions such as Finance, Commercials, and Operations.
• Serve as a liaison between business and technical users, ensuring effective communication and understanding.

Azure Data Engineering

• Develop and maintain data pipelines using Azure Data Factory.
• Utilize Azure Synapse Analytics/Datawarehouse for data processing and analysis.
• Collaborate on projects leveraging Microsoft Azure Data Engineer Associate certifications (preferred).

Data Ingestion & Modeling

• Perform data ingestion tasks using Data Factory, T-SQL stored procedures, and data harmonization techniques.
• Implement and validate data quality checks to ensure accurate outputs.
• Design data models in Azure Analysis Services using star and snowflake schemas.
• Create dimensions and measures using DAX queries.
• Utilize Python for advanced data transformations and processing (preferred).

Technical Support

• Provide technical support (80%) and enhancements (20%) for existing Azure applications.
• Address system issues by identifying root causes and resolving them in a timely manner.
• Trace processes end-to-end to verify data accuracy and ensure seamless operations.
• Maintain documentation and logs for issue resolution and enhancements.

Others

• Utilize Microsoft Office products effectively to document processes and communicate updates.
• Stay updated on the latest tools and techniques in Azure data engineering.

Qualifications

• 3+ years of experience in Business Requirement Analysis and Process/System Understanding.
• 2+ years of hands-on experience as an Azure Data Engineer using Azure Data Factory and Azure Synapse Analytics/Datawarehouse.
• Strong knowledge of data modeling and data validation techniques.
• Technical proficiency in DAX, Python, and Azure Databricks (preferred).
• Familiarity with providing technical support and resolving issues in Azure-based production systems.
• Relevant Microsoft certifications, such as Azure Data Engineer Associate, are an advantage.

EA License Number: 11C4879

We are seeking a skilled and experienced Risk Data Business Analyst to support the enhancement, implementation, and ongoing support of risk data-related projects.

Responsibilities:
• Translate complex risk data requirements into detailed specifications for the technology teams.
• Design and execute User Acceptance Testing (UAT), including test strategy development and scenario creation.Independently resolve UAT issues and provide support to end-users.
• Investigate and resolve production-related queries and issues.
• Manage project timelines effectively, ensuring adherence to deadlines.
• Collaborate with cross-functional teams, including technology, upstream and downstream system teams, and project stakeholders.

Qualifications:
• Minimum 2 years' experience in a similar role, preferably within the banking and financial services industry.
• Proven experience in large-volume data testing and a strong understanding of data marts/data warehouses.
• Proficiency in SQL is mandatory. Experience with Python and Big Data systems is a significant advantage.
• Familiarity with Agile product development methodologies.
• Experience with Consumer Credit Risk and banking products is highly desirable.

If you are a highly motivated individual with a strong analytical skillets and a passion for data, we encourage you to apply.

You can apply at [email protected]