Key Responsibilities:

• Develop dashboards to facilitate efficient data analysis for product performance, customer profiles, business insights and product effectiveness.
• Conduct quantitative analysis and data mining to support management decisions and provide data-driven recommendations.
• Organize and prepare regular reports relating to business performance and service usage.
• Work closely with the Data Engineer to develop models and bring up new predictive ideas.
• Hands-on with data ingestion, ETL process and automation across systems and platforms.

Key Requirements:

• Bachelor's Degree or related disciplines in Computer Science, Big Data, Data Analytics and Statistics.
• 1-3 years of experience in high data volume, unstructured data environments.
• Proficiency in SQL is a must, Good at Python is nice to have.
• Experience with data visualization tools such as Tableau, PowerBI etc. Must be strong in Excel.
• Strong logical thinking and problem-solving skills, ability to work independently and as a team member.
• Proficient in understanding business lingos.
• Good communication skills with the ability to share complex findings with both technical and non-technical audiences.
• Experience in transaction/E-payment industries is a plus.

We are representing our client in the global technology and engineering space to look for an highly competent Data Architect to join the team. In this role, you will play a crucial part in designing and optimizing conceptual and logical database models.

Responsibilities

• Designing data infrastructure for customers to extract and organize data for authorized individuals to access.
• Identifying the customer’s internal and external data sources, collaborating with them to determine their data storage and organizational needs and using the information to create and maintain data infrastructure for them.
• Develop database solutions to store and retrieve company information
• Install and configure information systems to ensure functionality
• Analyze structural requirements for new software and applications
• Migrate data from legacy systems to new solutions
• Design conceptual and logical data models and flowcharts
• Improve system performance by conducting tests, troubleshooting and integrating new elements
• Optimize new and current database systems
• Define security and backup procedures
• Coordinate with the Data Science department to identify future needs and requirements
• Provide operational support

Requirements

• Proven work experience as a Data Architect, Data Scientist, Data Analyst or similar role.
• In-depth understanding of database structure principles
• Experience gathering and analyzing system requirements
• Knowledge of data mining and segmentation techniques
• Expertise in SQL and Oracle
• Proficiency in MS Excel
• Familiarity with data visualization tools (e.g. Tableau, D3.js and R)
• Proven analytical skills
• Problem-solving attitude

Data scientist roles and responsibilities include:

• Data mining or extracting usable data from valuable data sources
• Using machine learning tools to select features, create and optimize classifiers
• Carrying out the preprocessing of structured and unstructured data
• Enhancing Data Collection procedures to include all relevant information for developing analytic systems
• Processing, cleansing, and validating the integrity of data to be used for analysis
• Analyzing large amounts of information to find patterns and solutions
• Developing prediction systems and machine learning algorithms
• Presenting results in a clear manner
• Propose solutions and strategies to tackle business challenges
• Collaborate with Business and IT teams

Skills:

• Programming Skills – knowledge of statistical programming languages like R, Python and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
• Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies.
• Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests.
• Strong Math Skills (Multivariable Calculus and Linear Algebra) - understanding the fundamentals of Multivariable Calculus and Linear Algebra is important as they form the basis of a lot of predictive performance or algorithm optimization techniques.
• Data Wrangling – proficiency in handling imperfections in data is an important aspect of a data scientist job description.
• Experience with Data Visualization Tools like matplotlib, ggplot, d3.js., Tableau that help to visually encode data
• Excellent Communication Skills – it is incredibly important to describe findings to a technical and non-technical audience.
• Strong Software Engineering Background
• Hands-on experience with data science tools
• Problem-solving aptitude
• Analytical mind and great business sense
• Degree in Computer Science, Engineering or relevant field is preferred
• Proven Experience as or Data Scientist

Are you ready to dive into the exciting world of hedge funds? We’re on the hunt for a talented and driven Data Engineer with 3-4 years of experience to become a vital part of our client's team.

In this role, you’ll be the mastermind behind designing, building, and fine-tuning data pipelines and infrastructure that power our cutting-edge quantitative and investment strategies. Think of it as being the architect of our data universe, where every piece you build has a direct impact on high-stakes decision-making.

Key Responsibilities:

1. Data Pipeline Development: Design, develop, and maintain robust and scalable data pipelines to ingest, clean, and transform large volumes of structured and unstructured data from multiple sources.
   Ensure data availability, reliability, and consistency for downstream analytics and modeling.
   
2. Data Integration and Storage: Implement efficient data integration solutions to connect various internal and external data sources.
   Build and optimize data storage systems, including data lakes, warehouses, and real-time streaming platforms.
   
3. Performance Optimization: Monitor and improve the performance of ETL processes and database systems to minimize latency and maximize throughput.
   Ensure high availability and fault tolerance of data infrastructure.
   
4. Collaboration with Teams: Work closely with quantitative analysts, portfolio managers, and data scientists to understand their data requirements and provide tailored solutions.
   Collaborate with IT and DevOps teams to deploy and maintain infrastructure in production environments.
   
5. Data Quality and Governance: Establish and enforce data quality and validation processes to ensure accuracy and completeness.
   Implement data governance practices to maintain compliance with regulatory requirements.
   
6. Technology Exploration: Stay updated with the latest advancements in data engineering technologies and tools.
   Evaluate and recommend new technologies to enhance the fund's data capabilities.
   

Qualifications:

• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• Experience: 3-4 years of hands-on experience in data engineering, preferably in the financial services or hedge fund industry.

Technical Skills:

• Proficient in programming languages such as Python, Java, or Scala.
• Strong experience with SQL and database technologies (e.g., PostgreSQL, MySQL, or Snowflake).
• Hands-on experience with big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP).
• Experience with data pipeline tools such as Apache Airflow, Luigi, or similar frameworks.
• Familiarity with real-time streaming technologies like Kafka or Kinesis.
• Understanding of data modeling, warehousing concepts, and ETL best practices.

Preferred Qualifications:

• Experience in the hedge fund or financial services industry is highly desirable.
• Knowledge of financial datasets and market data providers (e.g., Bloomberg, Refinitiv).
• Familiarity with machine learning workflows and integrating AI/ML models into data pipelines.

If you or anyone within your network is keen to explore the opportunity then do share your resume with [email protected]

Job Overview:
We are seeking a skilled and motivated Data Scientist with expertise in Business and Systems Analysis to join our dynamic team. This role will focus on leveraging data to improve business processes, identify strategic opportunities, and optimize system performance within the Infocomm Technology sector.

As a Data Scientist in this role, you will collaborate closely with cross-functional teams to bridge the gap between technical data analysis and business strategy. You will use advanced data techniques, statistical methods, and business acumen to drive decisions and enhance system efficiencies.

Key Responsibilities:

• Analyze complex business processes and identify opportunities for process optimization through data-driven insights.
• Collaborate with stakeholders to define key performance indicators (KPIs) and business goals, translating them into actionable data-driven strategies.
• Develop models to assess and improve system performance, efficiency, and scalability within the Infocomm Technology environment.
• Conduct data analysis to derive actionable insights that influence business strategies, decision-making, and overall system architecture.
• Work with product and development teams to design, implement, and optimize analytics systems and tools that support business needs.
• Identify, analyze, and interpret trends or patterns in large data sets related to system performance, customer behavior, and market trends.
• Provide clear and compelling presentations of findings to both technical and non-technical stakeholders, ensuring alignment with business objectives.
• Actively participate in system design and improvement discussions, ensuring that data and business goals are aligned throughout the project lifecycle.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Science), or a related field.
• Proven experience in data analysis, business systems analysis, or data science within the Infocomm Technology sector.
• Strong understanding of business processes, system analysis, and how data analytics can enhance business performance.
• Proficiency in statistical and data modeling tools (Python, R, SQL, etc.) and business intelligence platforms (Tableau, Power BI, etc.).
• Experience with system design, requirements gathering, and data-driven solution implementation.
• Excellent communication skills with the ability to translate complex technical data into business terms for key stakeholders.
• Strong problem-solving skills and the ability to think strategically while applying analytical techniques.

Job Overview:
We are seeking a skilled and motivated Data Scientist with expertise in Business and Systems Analysis to join our dynamic team. This role will focus on leveraging data to improve business processes, identify strategic opportunities, and optimize system performance within the Infocomm Technology sector.

As a Data Scientist in this role, you will collaborate closely with cross-functional teams to bridge the gap between technical data analysis and business strategy. You will use advanced data techniques, statistical methods, and business acumen to drive decisions and enhance system efficiencies.

Key Responsibilities:

• Analyze complex business processes and identify opportunities for process optimization through data-driven insights.
• Collaborate with stakeholders to define key performance indicators (KPIs) and business goals, translating them into actionable data-driven strategies.
• Develop models to assess and improve system performance, efficiency, and scalability within the Infocomm Technology environment.
• Conduct data analysis to derive actionable insights that influence business strategies, decision-making, and overall system architecture.
• Work with product and development teams to design, implement, and optimize analytics systems and tools that support business needs.
• Identify, analyze, and interpret trends or patterns in large data sets related to system performance, customer behavior, and market trends.
• Provide clear and compelling presentations of findings to both technical and non-technical stakeholders, ensuring alignment with business objectives.
• Actively participate in system design and improvement discussions, ensuring that data and business goals are aligned throughout the project lifecycle.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Science), or a related field.
• Proven experience in data analysis, business systems analysis, or data science within the Infocomm Technology sector.
• Strong understanding of business processes, system analysis, and how data analytics can enhance business performance.
• Proficiency in statistical and data modeling tools (Python, R, SQL, etc.) and business intelligence platforms (Tableau, Power BI, etc.).
• Experience with system design, requirements gathering, and data-driven solution implementation.
• Excellent communication skills with the ability to translate complex technical data into business terms for key stakeholders.
• Strong problem-solving skills and the ability to think strategically while applying analytical techniques.

Job Title: Data Scientist / ML Engineer Intern

Job Description

We are seeking interns to support our AI/ML Product Development and Solution Delivery on a short-term basis (3-6 months). Ideal candidates would be students from tertiary institutions with a keen interest in AI/ML.

Key projects needing assistance are stated below and key tasks include:
· Accelerating development on ongoing projects.

1. Smart Retail Platform (with Gen AI Agent)
2. Vision analytics as-a Service

· Providing support for day-to-day tasks.

Key Responsibilities include:
- Acquire knowledge and understanding of telco data and its analytics use cases.
- Design, develop, and maintain backend systems for handling and processing large volumes of data.
- Implement scalable data pipelines for ingesting, transforming, and storing data from diverse sources.
- Create prototypes for proof-of-concept (POC) applications and develop user interfaces for showcasing big data insight.

- Assist in building and optimizing video analytics algorithm.

- Explore and implement multimodal models for real world applications.

- Gain hands-on experience with computer vision and multimodal AI packages.
- Develop proficiency in open source packages and NVIDIA frameworks, including but not limited to: YOLO, VILA, NIMS, NEMO.

Qualifications

• Product thinking mindset.
• You are a coder.
• You like the opportunity to directly shape our new AI products from the first day.
• You are passionate about MLOps and love building auto-scaling ML systems.
• You like to take initiative to improve existing state of data science pipelines and passionate to embrace new changes.

Key Responsibilities:

• Data Infrastructure Development: Design and build scalable, efficient, and secure data infrastructure to support advanced analytics and reporting systems.
• ETL Pipeline Development: Develop and maintain robust ETL (Extract, Transform, Load) pipelines to process data from various sources, ensuring high-quality, consistent, and accurate data.
• Data Integration: Integrate multiple internal and external data sources, ensuring seamless data flow across platforms.
• Data Modeling: Create and maintain data models and schemas that ensure the efficient storage and retrieval of data.
• Optimization and Performance Tuning: Enhance the performance and scalability of data pipelines, optimizing for speed and reliability.
• Collaboration: Work closely with data scientists, business analysts, and other teams to ensure that data is organized and accessible for analysis, reporting, and machine learning applications.
• Data Governance: Implement data quality control processes to maintain data integrity and consistency.
• Automation: Automate data workflows and systems to ensure efficiency and reduce manual work.
• Troubleshooting and Maintenance: Monitor the health of data systems, diagnose issues, and maintain optimal data system performance.

Qualifications:

• Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent professional experience).
• Experience:2+ years of experience in data engineering, database management, or a similar field.
  Experience working with cloud platforms (AWS, Google Cloud, or Azure).
  Proficiency in relational and NoSQL databases (MySQL, PostgreSQL, MongoDB, Cassandra).
  Solid experience with ETL processes and tools (e.g., Apache Airflow, Talend, or custom-built pipelines).
  Familiarity with data warehousing solutions such as Snowflake, Redshift, or BigQuery.
  
• Technical Skills:Strong proficiency in programming languages such as Python, Java, or Scala.
  Expertise in SQL for data querying, optimization, and performance tuning.
  Experience with data processing frameworks like Apache Spark or Hadoop.
  Version control experience with tools like Git.
  

PRISM+ is the largest Singaporean direct-to-consumer smart home appliances brand. Our mission is to offer cutting-edge products to the masses at affordable prices. We are a rapidly growing, ever-evolving organisation, and we are seeking new teammates to join us on our exciting journey.

The Data Analyst is responsible for involves implementation of best practices, process improvements and developing monitoring dashboards for our Aircon Team.

Responsibilities:

• Extract, clean and present data in an understandable manner to the leads in the AC team.
• Interpret and analyze trends, patterns, and anomalies within the data to provide recommendations for business improvements related to air conditioning operations.
• Generate detailed reports and dashboards to present insights and support decision-making processes.
• Assist in identifying and addressing suggest improvements to address quality-related issues
• Work closely with business stakeholders to understand data needs and define analytical requirements.
• Collate and Maintain a repository of SOP and training materials for the department
• Contribute to team projects aimed at improving various aspects of operations
• To establish and maintain a relational database and recommend best practices for data storage, management and its upkeep.

• Diploma or Bachelor's Degree in Data Analytics/Science or a related field
• Proficiency in data analysis tools such as Python, SQL, and Excel
• Strong knowledge of data visualization tools (e.g., Tableau, Power BI) and ability to present data insights effectively.
• Excellent problem-solving skills and ability to work with large and complex datasets.
• Strong communication skills, with the ability to present technical findings to non-technical stakeholders.
  

Responsibilities:

1. Develop and implement data mining strategies to extract meaningful insights from large datasets, utilizing statistical methods and machine learning algorithms.
2. Conduct data cleaning, preprocessing, and transformation to ensure high data quality and integrity for analysis.
3. Create interactive dashboards and comprehensive reports using Power BI to effectively communicate findings to stakeholders.
4. Use visual storytelling techniques to present analytical results in a clear and engaging manner.
5. Work closely with various teams to understand their data requirements and provide tailored analytical support.
6. Monitor the performance of models and iterate on improvements based on stakeholder feedback and new data insights.
7. Prepare detailed reports summarizing analysis results for management review, ensuring actionable recommendations are included.

Qualifications:

1. Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field; Master’s degree preferred.
2. Minimum of 3 years of proven experience in data mining, statistical analysis, or a related field.
3. Proficient in Power BI or similar data visualization tools.
4. Excellent problem-solving skills, with the ability to work both independently and collaboratively.
5. Strong communication skills to clearly convey complex information to diverse audiences

Working Hour

• Monday to Friday | 9am to 6pm

Job Description:

• Develop, review and update all relevant company's data-related policies.
• Oversee the management and maintenance of a data request platform to facilitate data requests by company's staff and users, and put in place protocol that complies with relevant data access, sharing, and security policies.
• Serve as a point-of-contact to liaise with other company's institutions’ Data exchange officers and external parties for data request as well as to contribute to company’s analytics and digitalization effort.
• Collaborate with relevant departments/units to build staff literacy, competency, capabilities, and knowledge in safe, efficient, and effective data exploitation and management, as part of company's data strategy
• Manage a secretariat team to provide secretariat support to relevant company's committees.
• Lead change management, engagements, and communications with different levels of stakeholders, on issues pertaining to data management, data sharing, and data exploitation.

The Requirements

• Degree in Information Management, Management Information Systems, Communication, Business or related fields
• At least 5 years of relevant working experience in business data management and governance, with interest in developing data strategy being a strong advantage.
• Familiarity with public healthcare operations with working knowledge of data management, handling, and governance, and the regulatory requirements pertaining to the usage and sharing of data will be an added advantage.
• Strong project management skill.
• Possess good communication and interpersonal skills with the ability to get buy-in from stakeholders.
• Pro-active, resourceful, able to take challenges, work independently or as a team.
• Strong writing ability is highly desirable.

Interested applicants please send your resume to [email protected]

Venessa Goh Wee Ni

R24124686

Recruit Express Pte Ltd

EA License No: 99C4599

RCB No.: 199601303W

We regret that only shortlisted candidates will be contacted.

MAIN DUTIES AND RESPONSIBILITIES

• Manage existing databases, including extracting, cleaning, processing and analyzing data for routine and ad-hoc reports, and trouble-shooting of existing data systems
• Develop new and ad-hoc databases for company audits, surveillance programmes and research projects
• Develop a methodology and system for managing and extracting complex data from various databases or sources, which will require proficiency in logical data models and developing data dictionaries
• Produce documentation of new or existing systems and data-management support documents like standards, best practices, policies and procedures etc
• Conduct presentations describing data structures, data analysis methods, and results of data analysis
• Preparation of quarterly to annual reports.
• Support other related research activities as directed by Head of department.
• Perform general administrative duties as required
• Work beyond routine work responsibilities, in the exigencies of services.
• Carry out any other duties or responsibilities assigned by the Supervisor and/or the Head of Department
• Applicants must have high integrity, a strong commitment to maintaining data confidentiality, be eager to learn and be proactive in contributing to the team.

Interested applicants please send your resume to [email protected]

Venessa Goh Wee Ni

R24124686

Recruit Express Pte Ltd

EA License No: 99C4599

RCB No.: 199601303W

We regret that only shortlisted candidates will be contacted.

Job Overview:
We are seeking a skilled and motivated Data Scientist with expertise in Business and Systems Analysis to join our dynamic team. This role will focus on leveraging data to improve business processes, identify strategic opportunities, and optimize system performance within the Infocomm Technology sector.

As a Data Scientist in this role, you will collaborate closely with cross-functional teams to bridge the gap between technical data analysis and business strategy. You will use advanced data techniques, statistical methods, and business acumen to drive decisions and enhance system efficiencies.

Key Responsibilities:

• Analyze complex business processes and identify opportunities for process optimization through data-driven insights.
• Collaborate with stakeholders to define key performance indicators (KPIs) and business goals, translating them into actionable data-driven strategies.
• Develop models to assess and improve system performance, efficiency, and scalability within the Infocomm Technology environment.
• Conduct data analysis to derive actionable insights that influence business strategies, decision-making, and overall system architecture.
• Work with product and development teams to design, implement, and optimize analytics systems and tools that support business needs.
• Identify, analyze, and interpret trends or patterns in large data sets related to system performance, customer behavior, and market trends.
• Provide clear and compelling presentations of findings to both technical and non-technical stakeholders, ensuring alignment with business objectives.
• Actively participate in system design and improvement discussions, ensuring that data and business goals are aligned throughout the project lifecycle.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Science), or a related field.
• Proven experience in data analysis, business systems analysis, or data science within the Infocomm Technology sector.
• Strong understanding of business processes, system analysis, and how data analytics can enhance business performance.
• Proficiency in statistical and data modeling tools (Python, R, SQL, etc.) and business intelligence platforms (Tableau, Power BI, etc.).
• Experience with system design, requirements gathering, and data-driven solution implementation.
• Excellent communication skills with the ability to translate complex technical data into business terms for key stakeholders.
• Strong problem-solving skills and the ability to think strategically while applying analytical techniques.

Requirements:

· Proficient in Python, SQL, PL/SQL, and CICD.

· Familiarity with data warehouses such as Snowflake and Oracle.

· Strong analytical and problem-solving skills.

· Good team player and communication skill.

Skillset (Good to have)

· Familiarity with Denodo

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

* He must be having good Business understanding of data model designing (Conceptual Data Model, Logical Data Model , Physical Data Model) of new aged digital implementations based on Microservices and Be Spoke Application.

* He must be versed with agile implementation of Data modeling.

* He must have working exp in implementation IT Project as Data Architect .

* He must be able to collaborate with IT teams, analyze business needs, and ensure data solutions align with Project phase goals.

* Responsibilities include data modeling, defining database architecture, optimizing data retrieval, and ensuring data security.

* Strong knowledge of AWS Postgres database technologies, data warehousing, Data security and data governance is essential for this role. Also Good to have working exp as Data Architect in SG Gov Sector in IT Project.

Job Description:

• Cold Chain Company
• Salary up to $2000 + transport allowance
• Benefits: AWS + 3 mths VB + Medical benefits
• Working Days: 5.5 days alt Saturday
• Working Hours: (Mon-Fri) 8.15am – 5.15pm / (Alt Sat) 8.15am – 12.45pm
• Working Location: West

Job Responsibilities:

• Prepare and issue gate passes for incoming and outgoing cargo/containers.
• Perform general clerical tasks, including filing, photocopying, scanning, and organizing documents.
• Handle customer orders promptly via email and phone.
• Update and print Receipt Notes and Delivery Notes in system daily.
• Collaborate with operations staff to coordinate and fulfil customer orders effectively.

Requirement:

• Min 1-year relevant experience in logistic coordinator
• Good communication skills with internal staff
• Singaporean only

For consideration, kindly submit your CV by clicking “APPLY NOW”

*Or email your resume to [email protected] *

*Only shortlisted candidates would be notified**

MTC Consulting Pte Ltd | 15C7752

EA. Registration No.: R22106554 | Lavonne Lai Nai Xiang

An exciting opportunity has arrived at The Garcha Group, Singapore’s boutique hotel group currently with the following hotels:

- Maxwell Reserve, Autograph Collection Hotel (Marriott);

- Duxton Reserve, Autograph Collection Hotel (Marriott);

- The Vagabond Club, a Tribute Portfolio Hotel (Marriott);

- The Serangoon Club, a Tribute Portfolio Hotel (Marriott).

Garcha Group Benefits:

- As an associate of a Marriott hotel, you, your parents or parents-in-laws, children, spouse/domestic partner and siblings are eligible for discounts on F&B and room rates in 7,000+ hotels world-wide.

- As an associate of a Marriott hotel, you have access to the “Global Learning + Development” tool which creates for you personalized learning experiences designed to help you thrive in their Marriott career journey. (see attached for full Marriott benefits)

- 2 nights yearly staycation including all meals and beverage (incl. alcoholic) in any of the 4 Garcha Group hotels in Singapore.

- 20% off Food/Alcohol Bill at all Garcha Group restaurants and bars

Job Description:
- Updating inventory count and maintaining inventory records to share with management and other stakeholders in the business
- Keep accurate and up-to-date records of all purchases, including prices, quantities, and delivery dates. Ensure that all information is documented and easily accessible for reference and reporting purposes.
- Conduct market research to identify new suppliers, products, and technologies. Stay updated on market trends, price fluctuations, and industry regulations to make informed purchasing decisions. Compare prices, quality, and delivery terms to select the best suppliers for the organization.
- Monitor stock levels and anticipate future needs. Coordinate with the warehouse or inventory team to ensure optimal inventory levels are maintained. Recognize potential stock shortages or excesses and take appropriate action to address them.
- Assist in developing and monitoring departmental budgets. Ensure that purchasing activities align with approved budgets and financial guidelines. Identify cost-saving opportunities and propose strategies to optimize procurement processes.
- Prepare regular reports on purchasing activities, including expenditures, savings, and supplier performance. Generate reports for management review to provide insights and support decision-making processes.

Skills:

- Ability to accurately process and maintain detailed records and documents.
- Capable of managing multiple tasks simultaneously and prioritizing work effectively.
- Able to communicate clearly and professionally with suppliers, vendors, and internal stakeholders.
- Proficient in negotiating favorable terms, conditions, and prices with suppliers.
- Capable of conducting market research and analyzing data to make informed purchasing decisions.
- Experience with procurement software and systems to manage purchase orders, track inventory, and generate reports.
- Familiarity with procurement policies, procedures, and industry standards.
- Skilled in identifying and resolving issues related to purchasing, such as delivery delays or quality concerns.

About the role:

This role will be supporting data engineering activities for the Enterprise Data Warehouse in major project initiatives for Data Strategy Group

Your background:

• • Possess a degree in Computer Science/Information Technology or related field.
• Strong hands-on experience in Oracle PL/SQLand Informatica PowerCenter.
• Strong hands-on SQL skill in any RDBMS.
• Experience in the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies such as Scrum and Kanban.
• Agile, fast learner, and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem-solving.

EA License: R1873481

Company EA License: 11C4879

Position Overview:

We are seeking an experienced Data Architect to lead the design and implementation of advanced data solutions for our clients strategic financial services initiatives. The ideal candidate will have a deep understanding of structured finance, asset-backed lending, and expertise in modern cloud-based data architectures, particularly on Azure. This role requires exceptional skills in data modeling, analytics, and governance to enable the organization to leverage data for decision-making, innovation, and operational excellence.

Key Responsibilities:

1. Data Architecture Design:

• Develop and implement scalable, secure, and robust data architectures to support structured finance operations, including credit analysis, loan servicing, and portfolio management.
• Design data models and solutions aligned with Azure data services to optimize performance and reliability.

2. Cloud-Based Solutions Development:

• Architect and implement cloud-native data solutions leveraging tools such as Azure Data Factory, Azure Synapse Analytics, and Azure SQL Database.
• Optimize the use of Azure Data Lake, ensuring secure storage, accessibility, and management of structured and unstructured data.

3. Data Integration and Pipeline Management:

• Design and manage ETL/ELT pipelines for seamless data ingestion, transformation, and integration across systems.
• Ensure real-time and batch data processing capabilities to support financial operations and analytics.

4. Data Governance and Compliance:

• Establish and enforce data governance standards, ensuring compliance with regulatory frameworks and industry best practices.
• Implement robust data security measures to protect sensitive financial information in line with GDPR and MAS regulations.

5. Analytics and Reporting Enablement:

• Collaborate with business teams to design dashboards and visualizations for actionable insights, using tools such as Power BI or Tableau.
• Support advanced analytics and machine learning initiatives for risk assessment and portfolio optimization.

6. Collaboration and Stakeholder Management:

• Work closely with cross-functional teams, including business stakeholders, data engineers, and analysts, to align data strategies with business goals.
• Lead technical discussions, provide mentorship to junior team members, and manage vendor relationships.

7. Continuous Innovation:

• Stay updated on emerging trends in data architecture, cloud technologies, and financial services to recommend cutting-edge solutions.
• Identify opportunities to enhance data operations through automation and AI-driven insights.

Qualifications and Skills:

Experience:

• 8+ years of experience in data architecture, with at least 3 years in the financial services domain, focusing on structured finance and lending.
• Proven experience with Azure cloud technologies for data storage, processing, and analytics.

Technical Expertise:

• Proficiency in Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL.
• Strong skills in data modeling, ETL/ELT design, and working with structured and unstructured datasets.
• Hands-on experience with big data frameworks and analytics tools like Power BI, Tableau, or similar platforms.
• Domain Knowledge:
• Understanding of credit evaluation, deal structuring, and regulatory requirements in the financial services sector.
• Familiarity with risk management frameworks and financial performance metrics.

Soft Skills:

• Strong communication and stakeholder management skills, with the ability to translate technical concepts into business value.
• Analytical mindset with attention to detail and a passion for problem-solving.

Preferred Certifications:

• Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect.
• Certifications in data management or analytics, such as CDMP or equivalent.

What We Offer:

An opportunity to work on impactful data-driven projects in the structured finance sector.

A collaborative and innovative environment focused on professional growth and cutting-edge solutions. Competitive compensation and benefits package.

Position Overview:

We are seeking an experienced Data Architect to lead the design and implementation of advanced data solutions for our clients strategic financial services initiatives. The ideal candidate will have a deep understanding of structured finance, asset-backed lending, and expertise in modern cloud-based data architectures, particularly on Azure. This role requires exceptional skills in data modeling, analytics, and governance to enable the organization to leverage data for decision-making, innovation, and operational excellence.

Key Responsibilities:

1. Data Architecture Design:

• Develop and implement scalable, secure, and robust data architectures to support structured finance operations, including credit analysis, loan servicing, and portfolio management.
• Design data models and solutions aligned with Azure data services to optimize performance and reliability.

2. Cloud-Based Solutions Development:

• Architect and implement cloud-native data solutions leveraging tools such as Azure Data Factory, Azure Synapse Analytics, and Azure SQL Database.
• Optimize the use of Azure Data Lake, ensuring secure storage, accessibility, and management of structured and unstructured data.

3. Data Integration and Pipeline Management:

• Design and manage ETL/ELT pipelines for seamless data ingestion, transformation, and integration across systems.
• Ensure real-time and batch data processing capabilities to support financial operations and analytics.

4. Data Governance and Compliance:

• Establish and enforce data governance standards, ensuring compliance with regulatory frameworks and industry best practices.
• Implement robust data security measures to protect sensitive financial information in line with GDPR and MAS regulations.

5. Analytics and Reporting Enablement:

• Collaborate with business teams to design dashboards and visualizations for actionable insights, using tools such as Power BI or Tableau.
• Support advanced analytics and machine learning initiatives for risk assessment and portfolio optimization.

6. Collaboration and Stakeholder Management:

• Work closely with cross-functional teams, including business stakeholders, data engineers, and analysts, to align data strategies with business goals.
• Lead technical discussions, provide mentorship to junior team members, and manage vendor relationships.

7. Continuous Innovation:

• Stay updated on emerging trends in data architecture, cloud technologies, and financial services to recommend cutting-edge solutions.
• Identify opportunities to enhance data operations through automation and AI-driven insights.

Qualifications and Skills:

Experience:

• 8+ years of experience in data architecture, with at least 3 years in the financial services domain, focusing on structured finance and lending.
• Proven experience with Azure cloud technologies for data storage, processing, and analytics.

Technical Expertise:

• Proficiency in Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure SQL.
• Strong skills in data modeling, ETL/ELT design, and working with structured and unstructured datasets.
• Hands-on experience with big data frameworks and analytics tools like Power BI, Tableau, or similar platforms.

Domain Knowledge:

• Understanding of credit evaluation, deal structuring, and regulatory requirements in the financial services sector.
• Familiarity with risk management frameworks and financial performance metrics.

Soft Skills:

• Strong communication and stakeholder management skills, with the ability to translate technical concepts into business value.
• Analytical mindset with attention to detail and a passion for problem-solving.

Preferred Certifications:

• Microsoft Certified: Azure Data Engineer Associate or Azure Solutions Architect.
• Certifications in data management or analytics, such as CDMP or equivalent.

What We Offer:

An opportunity to work on impactful data-driven projects in the structured finance sector. A collaborative and innovative environment focused on professional growth and cutting-edge solutions. Competitive compensation and benefits package.

Responsibilities

• Design, build, and optimize scalable data pipelines using Scala and Hadoop frameworks.
• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.
• Write and optimize complex SQL queries for efficient data retrieval and transformation.
• Troubleshoot and resolve performance issues in queries and data workflows.
• Manage Hadoop-based data infrastructure, including HDFS, Hive, and related components.
• Monitor system performance and optimize resource utilization in a distributed environment.

Skills/Requirement

• Proficiency in Scala programming and functional programming principles.
• Strong SQL skills, including query optimization and database design.
• Hands-on experience with Hadoop ecosystem tools (HDFS, Hive, YARN, MapReduce).
• Familiarity with other big data tools like Spark, Kafka, or Flink is a plus.
• Strong analytical skills with the ability to troubleshoot and resolve complex data issues.
• 6+ years of experience in data engineering, big data technologies, or a similar role.

Interested candidates, who wish to apply for the above position, please send in your resume to: [email protected]

PERSOLKELLY Singapore Pte Ltd EA License No. 01C4394 EA Reg No: R23118975 (ABDUL RAHMAN ANSARI RAJA)

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

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Job Description: Data Engineer

As a Data Engineer at D-SIMLAB Technologies, you will play a key role in deriving insights from large datasets to optimize semiconductor manufacturing processes. This role focuses on data extraction, analysis, and actionable insights, while collaborating with cross-functional teams to develop and deploy D-SIMLAB’s software products as well as provide professional consultation services to our clients. The ideal candidate is someone who excels in data-driven analysis and is eager to work on high-impact projects in the semiconductor industry.

Key Responsibilities:

• Data Extraction and Analysis:
  Collect, clean, and analyze large datasets from semiconductor manufacturing environments to ensure data consistency, completeness, and correctness.
  Use statistical methods and data mining techniques to identify patterns, trends, and anomalies that impact production performance.
• Performance Evaluation:
  Analyze the gap between planned and actual production outcomes. Identify root causes for performance deviations and recommend data-driven strategies for process improvement. Develop reports and visualizations to present findings to clients and internal stakeholders.
• Data-Driven Insights:
  Provide actionable insights based on data analysis to optimize semiconductor manufacturing processes. Work closely with clients to understand their specific needs and translate data findings into operational and strategic improvements.
• ETL and Data Modeling:
  Build and maintain ETL processes to integrate data from various sources into D-SIMLAB’s data models. Collaborate with simulation modeling teams to ensure accurate and reliable data is fed into models.
• Consultation Services:
  Act as a trusted advisor to clients by offering data-driven recommendations for enhancing their production efficiency. Present analyses and proposals to both technical and non-technical stakeholders, ensuring clarity and actionable takeaways.
• Data Visualization and Reporting:
  Create dashboards and reports using advanced data visualization tools to communicate key insights and trends effectively. Continuously improve reporting mechanisms to provide real-time insights and support ongoing optimization efforts.
• Collaboration with Teams:
  Work with Software Engineers, Data Scientists, and other cross-functional teams to ensure that data insights align with product goals and customer needs. Contribute to product enhancement initiatives, focusing on the improvement of data-related components and analytics.

Candidate Requirements:

• Education:
  Bachelor’s/Master’s degree in Data Science, Industrial Engineering, or a related field.
• Experience:
  Strong analytical skills with a minimum of 2 years of experience in data analysis, preferably in an industrial environment. Semiconductor experience is a plus.
• Technical Skills:
  Proficiency in SQL and Microsoft Excel.
  Experience with data visualization tools (e.g., Power BI, Tableau) is highly desirable.
  Experience with ETL processes and database management.
• Analytical Abilities:
  Strong problem-solving skills and the ability to handle large datasets and deliver actionable insights to improve operational performance.
• Soft Skills:
  Ability to work collaboratively in a multicultural, multidisciplinary team.
  Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
• Willingness to Travel:
  Willing to travel for international projects and collaborate closely with clients and internal teams.

Please ensure your profile on the portal is updated with your job experience and education as these fields are being used for the purpose of filtering and shortlisting.

Company’s Profile:

Our client is an international technology and engineering company that specialises in providing innovative digital and security solutions to their esteemed clients. They are well-known for their dedication of quality delivery standards with more than 15,000 engineers globally supporting projects. They have an international presence in over 100 countries worldwide and are looking out for AI Engineers to join their team and contribute to their ongoing success.

Location: Ang Mo Kio/Yio Chu Kang area

Job Responsibilities:

• Work with internal & external stakeholders on data-related technical issues and support their data infrastructure needs
• Work closely with data scientists to solicit data requirements to support modeling works
• Design, develop, document, manage and maintain data models, ETL processes, data warehouse, data management and pipeline solutions for large volume of structured/unstructured data from disparate sources and with different latencies (e.g. on-demand, batch, real-time, near-real-time)
• Define, monitor and report SLAs for data pipelines and data products
• Understand data security and governance standards or requirements to implement solutions that ensure adherence to these standards or meet such requirements
• Drive/execute data quality assurance practices
• Support data management solutions pre-sales initiatives, proposal development and provide post-sales support

Requirements:

• At least 2 – 3 years’ work experience in data engineering field, experience with master data management, data governance, data lifecycle management
• Education qualification in Computer Science, Data Science, Machine Learning or relevant field
• Proficiency with relational/non-relational/NoSQL database and enterprise data warehouse/mart
• Experience with big data technologies e.g. Hadoop, Spark, Hive, HBase etc.

Interested candidates may whatsapp your resume to 6421 4965. Only shortlisted applicants will be contacted.

Cassie Chan | R2197426

Talentsis Pte Ltd | EA No: 20C0312

Job Overview:
We are seeking a skilled and motivated Data Scientist with expertise in Business and Systems Analysis to join our dynamic team. This role will focus on leveraging data to improve business processes, identify strategic opportunities, and optimize system performance within the Infocomm Technology sector.

As a Data Scientist in this role, you will collaborate closely with cross-functional teams to bridge the gap between technical data analysis and business strategy. You will use advanced data techniques, statistical methods, and business acumen to drive decisions and enhance system efficiencies.

Key Responsibilities:

• Analyze complex business processes and identify opportunities for process optimization through data-driven insights.
• Collaborate with stakeholders to define key performance indicators (KPIs) and business goals, translating them into actionable data-driven strategies.
• Develop models to assess and improve system performance, efficiency, and scalability within the Infocomm Technology environment.
• Conduct data analysis to derive actionable insights that influence business strategies, decision-making, and overall system architecture.
• Work with product and development teams to design, implement, and optimize analytics systems and tools that support business needs.
• Identify, analyze, and interpret trends or patterns in large data sets related to system performance, customer behavior, and market trends.
• Provide clear and compelling presentations of findings to both technical and non-technical stakeholders, ensuring alignment with business objectives.
• Actively participate in system design and improvement discussions, ensuring that data and business goals are aligned throughout the project lifecycle.

Required Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Programming & Systems Analysis, Science (Computer Science), or a related field.
• Proven experience in data analysis, business systems analysis, or data science within the Infocomm Technology sector.
• Strong understanding of business processes, system analysis, and how data analytics can enhance business performance.
• Proficiency in statistical and data modeling tools (Python, R, SQL, etc.) and business intelligence platforms (Tableau, Power BI, etc.).
• Experience with system design, requirements gathering, and data-driven solution implementation.
• Excellent communication skills with the ability to translate complex technical data into business terms for key stakeholders.
• Strong problem-solving skills and the ability to think strategically while applying analytical techniques.

Job Summary:

We are seeking a skilled and motivated Data Engineer with expertise in Scala, SQL, and Hadoop to join our dynamic team. In this role, design, develop, and maintain scalable data pipelines and systems to process large datasets. Collaborate with cross-functional teams to deliver high-quality solutions for data storage, transformation, and analytics.

Key Responsibilities:

Data Pipeline Development:

• Design, build, and optimize scalable data pipelines using Scala and Hadoop frameworks.
• Implement ETL processes for ingesting, transforming, and storing data from various sources.

Data Analysis and Query Optimization:

• Write and optimize complex SQL queries for efficient data retrieval and transformation.
• Troubleshoot and resolve performance issues in queries and data workflows.

Big Data Ecosystem Management:

• Manage Hadoop-based data infrastructure, including HDFS, Hive, and related components.
• Monitor system performance and optimize resource utilization in a distributed environment.

Collaboration and Problem Solving:

• Work closely with data analysts, data scientists, and business stakeholders to understand requirements and translate them into technical solutions.
• Provide technical guidance and best practices for data engineering within the team.

Automation and Monitoring:

• Develop scripts and tools to automate repetitive tasks and enhance system monitoring.
• Ensure data quality and consistency through validation and monitoring mechanisms.

Documentation and Compliance:

• Document technical solutions, workflows, and processes to ensure knowledge sharing and reproducibility.
• Ensure compliance with data governance and security policies.

Skills and Qualifications:

Technical Skills:

• Proficiency in Scala programming and functional programming principles.
• Strong SQL skills, including query optimization and database design.
• Hands-on experience with Hadoop ecosystem tools (e.g., HDFS, Hive, YARN, MapReduce).
• Familiarity with other big data tools such as Spark, Kafka, or Flink is a plus.

Problem-Solving:

Strong analytical skills with the ability to troubleshoot and resolve complex data issues.

Communication:

Excellent communication skills to effectively collaborate with technical and non-technical stakeholders.

Experience:

6+ years of experience in data engineering, big data technologies, or a similar role.