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.
  

Responsibilities

• Designing enterprise-grade Power BI solutions and analytical data modeling.
• Managing and delivering Power BI projects within timelines.
• Developing Power BI standards, guidelines, and best practices.
• Working with data engineers, data scientists, and other stakeholders in the implementation of Power BI dashboards and reports.
• Leading and providing technical support for Power BI dashboards.
• Organizing and holding workshops and clinics to help HPB employees become more adept in Power BI.

Requirements

• Minimum years of experience in end-to-end Power BI dashboard solutions/data visualization design, adopting good practices that encourage efficient data usage, scalability, extensibility, and reusability.
• Relevant work experience in data integration, analytics, data extraction, transformation and load (ETL), basic exploratory data analytics (EDA), data cleaning, and/or feature engineering.
• Experience in data science is an added advantage.
• Strong skills in analytical data modeling and analysis concepts are an added advantage.
• Experience within healthcare industry
• Technically competent in Microsoft BI and DAX (Data Analysis Expressions) scripting.
• Proficient in SQL (Structured Query Language).
• The following experience and knowledge would be advantageous:
  • Proficiency in Microsoft Azure.
  • Experience with PySpark.

Responsibilities

• Perform operation, installation, and monitoring of big data platforms
• Ensure the reliability and normal operation of multiple core systems for big data and online computing, resolving issues within the agreed SLA
• Evaluate infrastructure requirements for deployments and upgrade activities
• Develop and maintain technical documentations related to design, configuration, troubleshooting, backup, DR, etc
• Ensures deployment and operations of the data platform comply with prevailing security, regulations and audit requirements
• Provide recommendations on data governance practices and in-depth optimizations best practices

Requirements
• primary skillset: DevOps and system engineers in Unix
• Solid computer software basic knowledge; understand Linux operating system, storage, network IO and other related principles
• Familiar with one or more programming languages, such as Python/Go/Java/Shell/Ansible
• Experience with Cloudera, Informatica, or Denodo and its runtime components would be highly advantageous
• Relevant computing/distributed/big data system experience (Hadoop/HDFS/Kubernetes/Docker/OpenStack/Hadoop/Spark/Flin etc.)
• Good data structure and system design skills
• Good knowledge of information security

Next Step

• Prepare your updated resume and expected package.
• Simply click on 'Apply here' or email to [email protected] to drop your resume
• All shortlisted candidates will be contacted.

Tamanna Bilandi

EA Licence No. 91C2918

Personnel Registration No. R2096241

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

• 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.

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

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 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.

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.

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

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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By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

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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.

Role & Requirements :

• Strong hands-on experience in Oracle PL/SQL and 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.
• Experience in dbt Core or Snowflake will be an added advantage.
• Agile, fast learner, and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem-solving.

SKILLS: Oracle, Pl/SQL, Informatica, PowerCenter, Snowflake

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• Strong data modelling and data analysis skills are a must.
• Familiarity with scripting for automating tasks using Python.
• Hands-on experience of reporting or visualization tool like SAP BO and Tableau is important.
• Good understanding and completion of projects using waterfall/Agile methodology.
• Good understanding of analytics and data warehouse implementations.
• Hands-on experience in DevOps deployment, ETL tools like Informatica, and data virtualisation tools like Denodo will be an added advantage.
• Analyse the Authority’s data needs and document the requirements.
• Refine data collection/consumption by migrating data collection to more efficient channels.
• Plan, design, and implement data engineering jobs and reporting solutions to meet the analytical needs.
• Develop test plan and scripts for system testing, support user acceptance testing.
• Work with partners to streamline processes and implement automation to improve efficiency and quality of output.
• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.
• Ensure the smooth operations and service level of IT solutions.
• Support production issues

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