Job Description:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• At least 8+ years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Deep Learning, Machine Learning, and Statistical Analysis
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.

Overview

Each year, we as Oldendorff, carry about 380 million tons of bulk and unitized cargo around the world. We perform 15,000 port calls in 118 countries. On average, we operate 700 chartered and owned ships at any one time. Being with us, means working in a continuously changing internationally environment, where reliability is appreciated as is team spirit. Combined with a healthy driver to keep seeking for areas to develop you and your company to reach higher goals – we welcome you to set sail with us.

After the strategic shift towards a cloud-based and innovative Technology organization, we established a dynamic, modern and agile working environment. Join our culturally diverse 80 people-strong team, encouraging creativity and shaping Oldendorff’s digital future.

Our data engineering team designs, builds, and maintains scalable data pipelines and architectures to ensure seamless data flow and accessibility across the organization. The team works collaboratively with data scientists, analysts, and other stakeholders to optimize data integration, storage, and retrieval processes.

Essential Functions:

· In a group effort together with your team, you are shaping and designing our BI and data-architecture solution in the Cloud.

· You are developing data solutions with several platform technologies (e.g. Databricks, Logic Apps, Azure Data Factory, Azure Synapse).

· You are developing low-code solutions with Power Platform.

· You have comprehensive knowledge of DevOps principles.

· You are working on the development of our integrated data layer as the foundation of implementing data-driven analysis and reports using SQL and PySpark.

· You are supporting our development team in their selection and implementation of suitable data technologies.

· You are examining and evaluating new developments in the field of data technologies.

Skill Requirements:

· Successfully completed training or studies in the field of IT

· You have worked with databases or BI environments for more than 3 years, ETL/ELT experience with data integration and data processing.

· You are already experienced in working with different types of database technologies, scalable big data storage, preferable Azure Data Lake Storage.

· You are experienced in working with cloud technologies and cloud-based data-integration tools.

· Further to that, you are ideally familiar with agile project-processes (i.e. Scrum, Kanban) and you bring along some knowledge in Atlassian Suite (i.e. Jira, Confluence, Bitbucket and Bamboo).

· You are solution-driven, proactive and a team player.

· You enjoy communicating with our colleagues in English, because our team is indeed very international.

Mandatory Skills

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

Key Responsibilities

Data Pipeline Development

o Design, build, and optimize scalable data pipelines using Scala and Hadoop frameworks.

o Implement ETL processes for ingesting, transforming, and storing data from various sources.

Data Analysis and Query Optimization

o Write and optimize complex SQL queries for efficient data retrieval and transformation.

o Troubleshoot and resolve performance issues in queries and data workflows.

Big Data Ecosystem Management

o Manage Hadoop-based data infrastructure, including HDFS, Hive, and related components.

o Monitor system performance and optimize resource utilization in a distributed environment.

Collaboration and Problem Solving

o Work closely with data analysts, data scientists, and business stakeholders to understand requirements and translate them into technical solutions.

o Provide technical guidance and best practices for data engineering within the team.

Automation and Monitoring

o Develop scripts and tools to automate repetitive tasks and enhance system monitoring.

o Ensure data quality and consistency through validation and monitoring mechanisms.

Documentation and Compliance

o Document technical solutions, workflows, and processes to ensure knowledge sharing and reproducibility.

o Ensure compliance with data governance and security policies.

Skills and Qualifications

Technical Skills:

o Proficiency in Scala programming and functional programming principles.

o Strong SQL skills, including query optimization and database design.

o Hands-on experience with Hadoop ecosystem tools (HDFS, Hive, YARN, MapReduce).

o Familiarity with other big data tools like Spark, Kafka, or Flink is a plus.

Problem-Solving:

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

Communication:

o 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.

• MNC
• Working Hour: Monday to Friday 9am to 6pm
• Location: Central (Near MRT)
• AWS & VB provided

Job Responsibilities:

• Ensure data accuracy, completeness, and integrity through validation, cleansing, and normalization.
• Manage and update databases, data warehouses, and repositories for consistency and accessibility.
• Perform data migration, standardization, and regular audits for quality assurance.
• Recommend process improvements and best practices in data management.
• Collaborate with outsourcing teams on data processing tasks.
• Work with stakeholders to define data requirements and KPIs.
• Create and maintain Power BI dashboards to deliver actionable insights.

Job Requirements:

• Bachelor's degree in Business Analytics or a related field.
• 2–3 years of experience in master data management or a similar role.
• Proficient in Excel, SQL, and data analysis automation.
• Experience with MSSQL and PL/SQL development is a plus.
• Skilled in using Power BI for data visualization, reporting, and KPI creation.

HOW TO APPLY:

Interested applicants, please click on “Apply Now” or email to submit your resume.

We regret only shortlisted candidates will be notified.

Stafflink Services Pte Ltd
EA Licence No.: 04C4294
EA Personnel: Tiang Wan Ying
EA Personnel Reg. No.: R1767473

About Sembcorp Industries

Sembcorp Industries (Sembcorp) is a leading energy and urban solutions provider, led by its purpose to drive energy transition.

Headquartered in Singapore, Sembcorp delivers sustainable solutions to support energy transition and urban development by leveraging its sector expertise and global track record.

For more information, please visit www.sembcorp.com.

PURPOSE AND SCOPE

The Data Analyst role is positioned to tap on the vast amounts of data available at Sembcorp Solar to better guide the organization in optimizing its operational and business processes. The role will reside within the Business Excellence Unit and will work on cross-functional projects.

KEY ROLES AND RESPONSIBILITIES

• Work with various departments within Sembcorp Solar to propose, develop and maintain automated data collection systems and pipelines across reporting lines.
• Provide stakeholders with accurate and relevant information through data-driven reports, visualizations, and presentations.
• Assist to identify and solve complex business problems by interpreting data trends and patterns.
• Develop statistical models and forecasts to support business planning.
• Continuously evaluate and refine existing data processes and methodologies to enhance data quality, integrity, and efficiency.

QUALIFICATIONS & EXPERIENCE

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Economics, or related fields.
• Demonstrable experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn in Python.
• Experience in data cleaning, transformation, and integration
• Experience working in cross-functional teams and collaborating with stakeholders from different departments.
• Proficiency in analyzing large datasets to extract meaningful insights.
• Knowledge of geospatial analysis and data-warehousing concepts can be advantageous.

SKILLS/COMPETENCIES & PREFERRED CHARACTERISTICS

• Understanding of statistical methods and concepts such as hypothesis testing, regression analysis, clustering, and classification techniques.
• Ability to use statistical methods and tools to interpret data and solve analytical problems.
• Ability to understand business requirements, translate them into analytical tasks, and provide actionable insights to stakeholders.
• Capability to identify problems and develop creative solutions using data-driven techniques.
• Effective communication of findings through reports, presentations, and visualizations to both technical and non-technical audiences.
• Thoroughness in data analysis and ensuring data quality and accuracy in findings and reports.
• Familiarity with specific industry trends and metrics relevant to the solar PV industry can be advantageous.

Fresh graduates are welcome to apply. Candidates will be expected to share about projects previously delivered.

At Sembcorp, our shared corporate behaviors underpin all the work that we do in building a sustainable future:

• Institution-first Mindset – Put the interest of the Group ahead of individual interests.
• Collaboration – Deliver through collaborating across markets, businesses and functions.
• Accountability – Hold team and self accountable to deliver on our commitments.

Big Data Developer (3 – 10 Years)
§ Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
§ Experience in designing application solutions in hadoop ecosystem
§ Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
§ HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
§ Good knowledge in data warehousing system
§ Experienced in any scripting language (SHELL, PYTHON)
§ HortonWorks distribution and understanding on SQL engines (Tez, MR)
§ Java/RestServices/Maven experience is a value addition
§ Control-M development. Monitoring Resource utilization using Grafana Tool
§ Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
§ Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
§ Skillset:
o Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
o Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

Helmut Schroeder is a pioneering intellectual property (IP) management company dedicated to acquiring, managing, and maximizing the value of our rights portfolio. We use data-driven insights and innovative strategies to uncover opportunities in the IP market, enabling artists and investors to thrive in the ever-evolving creative industry.

We are seeking a skilled and passionate Data Scientist to join our team. This role will play a crucial part in driving data-informed decision-making in an exciting and dynamic domain.

Key Responsibilities

As a Data Scientist, you will:

• Develop and implement models to analyze the financial performance and future potential of IP assets.
• Use machine learning and statistical techniques to predict trends in IP valuation.
• Integrate and clean data from diverse sources, including streaming platforms, social media, financial reports, and licensing agreements.
• Collaborate with cross-functional teams, including investment analysts, legal experts, and software developers, to design and deploy analytics solutions.
• Build dashboards and visualization tools to communicate insights effectively to stakeholders.
• Identify market patterns and trends to inform strategic decisions around acquisitions and portfolio management.
• Stay current with the latest developments in data science and the creative industry to bring innovative solutions to the company.

Qualifications

Technical Skills:

• Programming Languages: Proficiency in Python for data analysis and modeling.
• Data Manipulation: Experience with DynamoDB/SQL and working with large, complex datasets.
• Machine Learning: Familiarity with libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
• Statistical Analysis: Strong foundation in statistical modeling, hypothesis testing, and predictive analytics.
• Big Data: Familiarity with distributed data systems like Hadoop, Spark, or cloud-based data warehouses (e.g., BigQuery, Snowflake).

General Requirements:

• Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field. A Master's/PhD is a plus.
• 2+ years of experience in data science, preferably in media or financial domains.
• Strong problem-solving skills and ability to translate business needs into technical solutions.
• Excellent communication skills, with the ability to present complex findings in a clear and actionable manner.

Why Join Us?

• Work at the intersection of art, law, data, and investment, shaping the future of Singapore's IP landscape.
• Collaborate with a team of experts passionate about data and innovation.
• Flexible working environment with remote work options.
• Competitive salary and benefits, including opportunities for professional development.
• Make an impact by supporting artists and maximizing the value of their creative work.

The Data Analyst will be responsible for designing, developing, and implementing methods, processes, and systems to consolidate, cleanse, and analyze diverse and unstructured data sources. The role will focus on leveraging advanced data analytics, machine learning, and statistical techniques to derive actionable insights and support decision-making at the management level.

Responsibilities:-

• Design, develop and program methods, processes, and systems to consolidated and analyse unstructured, diverse data sources to generate actionable insights and solutions for Management
• Develop and code software program, algorithms, and automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources.
• Assist to automate repetitive data tasks, to streamline the process, and minimize manual intervention.
• Assist to create data visualization for the business.

Requirements:-

• Minimum Degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• Minimum 1-2 years of experience in a Data Analyst
• Minimum 1-2 year of working experience in similar industry would be a plus.
• Proficiency in programming languages such as Python, R, SQL & PowerShell, with experience in data manipulation and analysis libraries.
• Experience with data visualization tools (eg: PowerBI).
• Strong in Microsoft

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.

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.

We are the largest conductor of employee surveys around the world and we are looking for a data analyst to join our exciting team which works with Great Place To Work clients in Singapore, Indonesia, Vientam, Philippines, Malaysia, Thailand, Australia and New Zealand.

We collect a large amount of data from employee surveys we conduct and we are looking for a data analyst to come and further strengthen our analytics offering using that data.

Skill in PowerBI is critical and knowledge of Microsoft Fabric and OneLake will be advantageous. We are looking for candidates with 5-10 years of experience in data analysis and who are willing to grow with us and our clients as we build out the data offering together.

Our team in Singapore is mostly remote though we do maintain an office space and meet face to face once a week on Mondays.

About the job

A government agency is looking for an experienced Data Analyst to join their team.

Your new company

As a Data Analyst, you will process and analyzes data to identify trends and early indicators of potential incidents that could affect the resilience and cybersecurity. You will also be responsible for analyzing and identifying potential cybersecurity threats by applying data analytics and threat-hunting techniques to big data. You will collaborate closely with cybersecurity counterparts to proactively trigger intervention actions based on the identified potential cyber threats.

Your new role

As the Data Analyst, you will be responsible for:

• Data Collection, Data Analysis, Data Visualization to identify trends and patterns

• Develop and validate hypotheses for threat hunting

• Generate insights and provide supporting evidence through Big Data Analytics for informed decision-making

• Assemble and disseminate intelligence to peers for swift intervention actions

• Data Management to ensure that data is stored securely and efficiently, following best practices and compliance regulations

• Continuously improving data processes and methodologies to enhance the quality and efficiency of data analysis

• Communicate concepts and findings in reports and presentations for senior stakeholders

What you need

• Bachelor’s degree in Computer Science/ Data Science and Analytics or equivalent

• 1+ year of experience in working with databases and big data analytics using Hadoop, Hive, and Spark, along with the ability to write complex SQL queries

• Knowledge of cybersecurity principles and their practical application (computer networking, network security, or system security); cybersecurity certifications are highly desirable

• Practical application experience with statistical methods and concepts such as regression, properties of distributions, statistical tests, and their appropriate usage

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

• structured career growth and plenty of developmental opportunities

• Hybrid and stable working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology contact Jo Synn Tan or email [email protected] Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse background to apply.

EA Reg Number: R22107752

EA License Number: 07C3924 | Company Registration No: 200609504D

Mandatory Skills

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

Key Responsibilities

Data Pipeline Development

o Design, build, and optimize scalable data pipelines using Scala and Hadoop frameworks.

o Implement ETL processes for ingesting, transforming, and storing data from various sources.

Data Analysis and Query Optimization

o Write and optimize complex SQL queries for efficient data retrieval and transformation.

o Troubleshoot and resolve performance issues in queries and data workflows.

Big Data Ecosystem Management

o Manage Hadoop-based data infrastructure, including HDFS, Hive, and related components.

o Monitor system performance and optimize resource utilization in a distributed environment.

Collaboration and Problem Solving

o Work closely with data analysts, data scientists, and business stakeholders to understand requirements and translate them into technical solutions.

o Provide technical guidance and best practices for data engineering within the team.

Automation and Monitoring

o Develop scripts and tools to automate repetitive tasks and enhance system monitoring.

o Ensure data quality and consistency through validation and monitoring mechanisms.

Documentation and Compliance

o Document technical solutions, workflows, and processes to ensure knowledge sharing and reproducibility.

o Ensure compliance with data governance and security policies.

Skills and Qualifications

Technical Skills:

o Proficiency in Scala programming and functional programming principles.

o Strong SQL skills, including query optimization and database design.

o Hands-on experience with Hadoop ecosystem tools (HDFS, Hive, YARN, MapReduce).

o Familiarity with other big data tools like Spark, Kafka, or Flink is a plus.

Problem-Solving:

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

Communication:

o 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.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $10,000 per month

Responsibilities:

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

Requirements:

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

For interested applicants, please click "Quick Apply”

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

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

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

Job Requirements:

• Degree in Information Technology or equivalent.
• Must have minimum 8-10 years of experience in Data Engineering.
• Must have experience in Azure Datalake Storage and Dremio.
• Must have experience in Power BI visualisation.
• Must have experience in Spark SQL, DAX, PowerQuery M
• Must have experience in Data Modelling with Data bricks and Delta Lake
• Experience in Security and Governance tools Unity Catalog and RLS
• Must have strong understanding of Statistics.
• Good to have certification in Data Bricks and related technologies

" Programming skills in python

Training and deploying machine learning models end to end

Good understanding of basic statistics and deep learning techniques

Any experience in data integration, profiling,validation, and cleansing

Experience deploying TensorFlow and PyTorch into production.

• Good programming skills in Python
• Must possess experience or interest in training and deploying machine learning models end to end.
• Good understanding of basic statistics and deep learning techniques
• Prior experience in data integration, profiling, validation and cleansing
• Experience in Banking domain is mandatory
• Proficiency with SQL
• Software delivery
• Strong understanding of agile methodologies
• Strong understanding of CI/CD
• Strong understanding of test-driven development
• Comfortable using version control and enterprise task management tools.
  • Data Engineering
  • Experience in deploying TensorFlow and PyTorch into production
• Building data pipelines and architecture
• Should have extensive experience with relational and NO-SQL databases
• Should have proficiency in handling both structured and unstructured data sources
• Strong experience deploying applications to cloud platforms like Azure, AWS
• Interest in building efficient batch and streaming data engineering pipelines
• Exposure to distributed data processing platforms like Spark".

JD:

" Programming skills in python

Training and deploying machine learning models end to end

Good understanding of basic statistics and deep learning techniques

Any experience in data integration, profiling,validation, and cleansing

Experience deploying TensorFlow and PyTorch into production.

• Good programming skills in Python
• Must possess experience or interest in training and deploying machine learning models end to end.
• Good understanding of basic statistics and deep learning techniques
• Prior experience in data integration, profiling, validation and cleansing
• Experience in Banking domain is mandatory
• Proficiency with SQL
• Software delivery
• Strong understanding of agile methodologies
• Strong understanding of CI/CD
• Strong understanding of test-driven development
• Comfortable using version control and enterprise task management tools.
  • Data Engineering
  • Experience in deploying TensorFlow and PyTorch into production
• Building data pipelines and architecture
• Should have extensive experience with relational and NO-SQL databases
• Should have proficiency in handling both structured and unstructured data sources
• Strong experience deploying applications to cloud platforms like Azure, AWS
• Interest in building efficient batch and streaming data engineering pipelines
• Exposure to distributed data processing platforms like Spark".

• 1-month role

• Well Established Company

• Working hour: 8.15am – 5.45pm (Monday - Friday)

• Company located at Tuas

• Company transport provided: Boon Lay, Bukit Batok, Choa Chu Kang

Job Scope

• Accurately enter data into company systems and databases
• Review and verify data for errors or inconsistencies
• Organize and maintain electronic files and records
• Assist with data cleansing and other data-related tasks as needed
• Collaborate with team members to ensure timely project completion
• Perform other administrative duties as assigned

Requirement

• GCE O Level & above
• 1 - 2 years of relevant working experience in similar position

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume:

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

SIM BEI NA (R22111637)

EA Recruitment Pte Ltd

EA License No: 21C0492

Location: Shenton Way

Working hours: Mon-Fri, 8.30am to 5.30pm

Duration: 6 Months Contract

Salary Range: $3,500 to $3,800 + 0.5 months completion bonus

Responsibilities

• Support performance management and activities and administrations proactively
• Provide strong support in implementing Global HR Projects including through working with stakeholders across regions
• Collaborate closely with the system support team/vendors to address employees' requests for performance management system solutions and enhancements
• Act as focal point to attend to employees' daily communication and resolving their queries
• Participate in any ad-hoc projects and provide support as required

Requirements

• Minimum Bachelor's degree in business, analytics or relevant discipline
• No experience needed as training will be provided!

Interested applicants please send your resumes to [email protected]

Jessica Nguyen Huynh Thanh Truc

Recruiter (R23113787)

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

Roles & Responsibilities

Reporting to the Alumni Relations team, this intern is responsible in supporting the Alumni Relations data entry.

Key accountabilities include:

• Support data cleaning and management process (e.g. keeping Alumni data up to date including alumni and prospect basic information, speakers list etc.)
• Analysis for sales plan and lead generation plans.
• Clean database of alumni so staff can view and search alumni, speakers, and contact information through Zoho platform.
• Any other duties assigned.

Knowledge & Skills:

• Basic Excell Skills
• Meticulous, detail-oriented, proactive, problem-solver, analytical

• 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

Skills Must have:

• Possess a degree in Computer Science/Information Technology or related fields.
• Ability to perform metadata activities (e.g. collection, quality control, etc.) throughout the metadata lifecycle.
• Ability to thoroughly review metadata, comprehend its implications, and recommend accurate metadata based on stakeholder-provided information and governance guidance.
• Experience in onboarding stakeholders in financial institutions into the data governance and compliance roadmaps of the organization.
• Strong problem-solving skills with the ability to identify, analyze, and resolve metadata challenges.

Skillset Good to have:

• Advanced proficiency in Excel e.g. pivot tables, advanced formulas, matching, filtering, and sorting, etc.
• Hands-on experience in data governance tools such as Precisely, Collibra, Informatica, etc.
• Experience in the financial services industry as part of a metadata team within a data governance organization.
• Knowledge of financial, investment processes, terminologies and organizational structures (e.g. public and private markets, risk and operations, etc.).
• Familiarity with various types of financial data (e.g. risk, transaction data, portfolio data, market data).

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.

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $10,000 per month

Responsibilities:

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

Requirements:

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

For interested applicants, please click "Quick Apply”

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

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

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

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.

**********************************

This is in partnership with Employment and Employability Institute Pte Ltd (“e2i”). e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives. By applying for this role, you consent to e2i’s PDPA.

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.

**********************************