We're looking for a driven and enthusiastic individuals to join our team and help drive our growth through direct interactions with potential customers. As a Face-to-Face Marketing Representative, you will be responsible for engaging with potential customers in person to promote our client's products and services through various marketing channels such as Events and roadshows. Your goal will be to enhance brand awareness and bring sales revenue for our clients through direct, personal interactions.

What you can look forward to:

Vibrant and fun working environment

1 to 1 mentorship (No prior experience required)

Travel Opportunities

Career Advancement Opportunities

Competitive salary and performance-based incentives

‼️READY TO MAKE A CHANGE? ‼️
We are looking for the next driven, vibrant and talented individual to join us on our journey to SUCCESS

Are you seeking an environment that helps to enhance your overall career and develop your personality?

Our team is expanding and we want someone who strives for more and keen learning mentality.

WHAT DO WE DO:

We are a growing Sales & Marketing company that specialises in face-to-face marketing with accomplished track records. We work with global industries leaders varies industries, providing external source of revenue for our clients and aid them to increase their branding through our expertise.

GET TO KNOW US:

We are a focused team with individuals who aim to exceed expectations and celebrate every little success together. Be part of a team that always that wants to be best!

If you want to be considered for this role, here are what we are seeking for:

- Good student mentality

- Team player- Enthusiast and positive!

- Charming smile

IF YOU ARE KEEN TO EXPLORE MORE, CLICK ON THE APPLY NOW BUTTON NOW!

Job Description Summary

Converts business problems to hypotheses and builds, validates, and deploys well packaged models to solve them using a well-defined methodology, statistics and mathematics, domain expertise, consulting, data engineering and modeling.

Job Description

As a Data Expert at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day you will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. Youll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.
In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.
Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.
Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.
If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.

Your Future at Kyndryl
Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Job Qualifications

Who You Are

You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.

Required Skills and Experience

• 5+ years of Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
• Collaborate with customers and account partners to identify new Data and AI opportunities, and build proposals and pitch materials to position Kyndryl as a trusted partner for AI & Data transformation
• Organize and lead educational and ideation AI and Generative AI workshops for customers
• Understand customer's needs and assess their data maturity
• Evaluate and recommend appropriate data pipelines, frameworks, tools and platforms
• Lead data feasibility studies and PoC projects to demonstrate the value and viability of Data and AI solutions
• Develop end to end AI PoC projects using Python, Flask, FastAPI and Streamlit
• Have experience in cloud services of AWS / GCP / Azure to deploy PoCs and pipelines
• Have experience with big data frameworks on prem and on cloud
• Collaborate with AI architects and engineers to data scientist and develop Data and AI solutions tailored to the clients’
• requirements
• Lead integration and deployment of data and AI products
• Stay updated with the latest advancements in big data and GenAI along with best practices to develop thought leadership and PoV
• Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions
• In-depth understanding of big data technologies, streaming applications and data modelling
• Experience working with customers in different industries and understanding their specific challenges and requirements

Preferred Skills and Experience

• Bachelor's degree in computer science, Information Security, or a related field Skilled in planning, organization, analytics, and problem-solving.
• Cloud certifications related to data, analytics and architecture in one of AWS, GCP, Azure
• Kyndryl Confidential
• Excellent communication and interpersonal skills to work collaboratively with clients and team members.
• Comfortable working with statistics.
• Advanced skills in PowerPoint and Excel.
• Strong Business acumen and understanding of industry trends and challenges in Data, AI and Generative AI .
• Strong leadership skills and proactive and self-driven attitude.
• Advanced communication and storytelling skills.
• Highly adaptable and flexible through shifting priorities.

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We are an affiliated company by common shareholders with Activate Interactive Pte Ltd which company logo appears on the top of this page.

Actxa creates evidence-based, personalizes health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

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

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

More information about us: https://www.actxa.com

Actxa is hiring for Senior Data Scientist

Internal Code: AX25002

We are seeking a highly skilled and motivated Data Scientist to join our dynamic team in shaping the future of healthcare in preventive health using Artificial Intelligence (AI), Machine Learning (ML) and data analysis..

The ideal candidate will directly contribute to improving the health and well-being of the population, reducing healthcare costs, and championing a proactive approach to healthcare.

What will you do?

1. Data Collection, Processing and Preprocessing:

• Collect, clean, preprocess, and wrangle raw digital health data to ensure its quality, integrity, and suitability for analysis and modeling.

2. Data Analysis and Modeling:

• Utilize advanced statistical techniques, artificial intelligence and machine learning algorithms to analyze complex datasets.
• Develop predictive models to identify patterns, trends, and insights for proactive health interventions.

3. Feature Engineering and Model Development:

• Identify and engineer relevant features from diverse healthcare data sources to enhance model accuracy and performance.
• Design, develop, and fine-tune machine learning models for predicting health risks and outcomes.

4. Productization and Code Transfer:

• Follow through toward productization by deploying models into scalable, production-ready solutions.
• Implement data pipelines and automation processes for efficient data processing and extraction.

5. Documentation and Reporting:

• Document research, experiments, modelling techniques, and methodologies followed in projects.
• Provide comprehensive reports and presentations on results, findings, and recommendations derived from data analysis and predictive models.

6. Collaboration and Communication

• Collaborate with cross-functional teams including clinicians, data engineers, and product managers to understand business requirements and align data science initiatives with company goals.
• Effectively communicate complex findings and insights to both technical and non-technical stakeholders.

7. Continuous Improvement and Innovation:

• Stay abreast of the latest advancements in data science, machine learning, and healthcare technologies.

What are we looking for?

• Bachelor or Master degree in Data Science, Biostatistic, Mathematics, Biomedical Engineering, Electrical & Electronics Engineering, Computer Science or related discipline.
• 3+ years of experience in data science, healthcare analytics, or preventive medicine
• Proficiency in programming languages: Python, R, SQL
• Experience with machine learning frameworks: TensorFlow, PyTorch, Scikit-learn
• Good understanding of biostatistics, epidemiology, and research design
• Familiarity with cloud-based platforms: AWS & Ali Cloud
• Experience with wearable device data, signal and noise processing will be preferred.
• Keen interest in Chronic disease prevention, Population health management and Digital health interventions.
• Excellent problem-solving skills and ability to work in a fast-paced, collaborative environment.
• Natural tenacity, resilience, and determination.

What do we offer?

• Fun working environment
• Employee Wellness Program

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

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

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

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

About iNova

iNova is a different kind of health company. We are leading the way to better health by delivering innovative, patient-centric products that improve the lives of people around the world. Our diverse portfolio of iconic, market-leading consumer health brands and prescription medicines are backed by science and distributed in over 75 markets across Asia, Australia, New Zealand, Middle East & Africa and Europe. Experience the iNova difference today.

The Opportunity

We currently have an opportunity for a Data Engineer - Snowflake to based in Philippines or Singapore, to join our Group Technology Team.

Reporting to the Head of IT Strategy, Architecture & Governance, the Data Engineer will be primarily responsible for designing, developing, and optimizing data warehouse solutions with Snowflake. Secondarily, this role will involve supporting the integration of ETL processes using Microsoft tools (Azure Data Factory, LogicApps etc.) into the Snowflake ecosystem.

Knowledge of data visualization through Power BI would also be desirable to ensure provision of available, reliable, and structured datasets from Snowflake for both reporting and analysis purposes.

This role requires extensive knowledge of data engineering processes, data modelling, data warehousing, and business intelligence best practices. A successful candidate will be able to transform complex business needs into efficient, scalable, and secure data pipelines solutions.

Key Responsibilities

Primary - Data Warehouse Development and Management:

• Design and manage data warehouse solutions in Snowflake, ensuring data integrity, optimization, and security.
• Maintain and improve the performance of the data warehouse to meet the reporting and analytical needs of the business.
• Ensure Snowflake environment is optimized to integrate with upstream data-sources.
• Support Data Governance and Quality within the Snowflake environment.

Secondary - Data Integration / ETL and Visualization Support:

• Collaborate with internal and external integration specialists to identify data requirements and co-design data integration solutions.
• Consume output datasets from various internal and external sources into Snowflake as processed using Microsoft tools such as Azure Data Factory and LogicApps.
• Familiarity with other ETL tools such as Alteryx would also be beneficial.
• Ensure that Power BI reports deliver accurate, real-time data insights through providing appropriate reporting datasets.

Collaboration with Business and IT Teams:

• Work closely with business units including finance, marketing, supply chain, and sales to gather reporting requirements and translate them into technical solutions.
• Liaise with data governance teams to ensure adherence to best practices in data management and security.

Documentation and Compliance:

• Maintain documentation for all data pipelines, transformations, and visualizations, ensuring clarity and consistency for both technical teams and end-users.
• Ensure adherence to corporate policies and industry standards related to data security and compliance.
• Previous experience with CSV and GxP requirements would be a plus.

About You

To be successful in this role, you will possess a Bachelor’s degree in Computer Science, Information Technology, or a related discipline, with a minimum of 5 years hands-on experience in data engineering, with a focus on building and managing data warehouses in Snowflake.

Other key requirements for this role include:

• Snowflake Certification (SnowPro Core and/or other Advanced Certifications) a plus but not mandatory.
• Hand-on experience building data-pipelines in Snowflake with SQL and/or Python.
• Hands-on experience with Data Governance in Snowflake including compliance, security, privacy and access
• Ideally, experience with developing data-centric capabilities using Python in Snowpark and/or applications with StreamLit.
• Experience with ETL tools with a focus on Snowflake Integration, particularly within the Microsoft stack (Azure Data Factory & Logic Apps).
• Experience in building datasets to enable reports and dashboards using Power BI.
• Experience with data integration from cloud platforms and various APIs a plus.
• Effective Communication Skills (Written & Verbal).
• Personal accountability for outcomes and providing high-quality service to business users
• A strong work ethic and a well-organized self-starter.
• Optimistic “can do” personality.
• Be open to change and willing to learn new skills.
• An ability to follow up on pending issues and meet deadlines.

Responsibilities:

• Conduct thorough data analysis and implement data-driven solutions to support customer issue troubleshooting, utilizing statistical modelling and machine learning techniques to identify root causes and provide actionable insights for resolution
• Partner with field engineering teams to analyse data from plasma etching systems and provide timely, meaningful and accurate analysis results to support data-driven improvement
• Communicate effectively with both customers and internal teams, present complex data analysis findings or results to stakeholders in a concise, effective and understandable manner
• Develop advance statistical and machine learning algorithms to extract insights from large and complex data sets, and work with internal engineering team to evaluate the effectiveness of the algorithms
• Collaborate with global data engineering teams to share best practices and work on cross-functional projects that require data science expertise
• Manage and maintain the internal analytics solutions, supporting continuous development and implementation, and ensuring that data integrity and accuracy are always maintained
• Develop and conduct training sessions for local engineers on data analytics skills such as JMP and KNIME
• Other duties as assigned

Requirements:

• Bachelor’s or Master’s degree in Microelectronics, Data Science, or a related discipline.
• At least 3 years of experience in the semiconductor industry, including manufacturing equipment, fabrication facilities, semiconductor components, or related fields.
• Demonstrated experience as a Data Scientist within the semiconductor industry, with specific expertise in plasma dry etch processes.
• Expertise in developing and deploying algorithms for process optimization and problem-solving.
• Strong understanding of data analytics, statistical methodologies, machine learning techniques, and predictive modeling.
• Proficient in data science tools and programming languages (e.g., Python, JSL, R) for data processing, visualization, and analysis.
• Strong communication skills, with the ability to collaborate effectively in a team setting and build positive relationships with customers.
• Detail-oriented, organized, and resourceful team player.
• Self-motivated and capable of working independently with minimal supervision.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24994

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

You will be working as data engineer with a large global bank, you will be playing key role in building complex data solution

Job Responsibilities:

• Performing data analysis and data mapping

- Develop data pipelines to be used by BI or AI team

- Ensure data integrity and data quality

- carrying out development using python, Scala and Databricks

- Carrying out development of back end solution on structured and unstructured data

Job Requirements:

• Bachelor’s degree in Information Technology, Computer Science, Manage Information Science, or Analytics

• Min. 3 years of experience working as backend developer using python, pysparks

• Good experience working in big data platforms (Hadoop) and data lakes

• Good experience working with both structured and unstructured data.

• Experience working with databricks, enterprise datawarehouse, Spark streaming

• Good experience in performance optimization

• Experience in data management, data modelling, data warehousing, data mart, data visualization, design and implementation

Interested candidates please email your latest resume to [email protected]

Responsibility

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

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

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

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

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

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

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

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

Skills

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

Proficiency in SQL and data warehousing

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

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

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

Customer-oriented with good communication and interpersonal skills.

Responsibilites

• Design, develop, and maintain robust data pipelines and architectures.
  Collaborate with cross-functional teams to integrate data from various sources.
• Implement and manage CI/CD processes to ensure smooth deployments.
• Optimize Snowflake database performance and ensure efficient data storage.
• Utilize Azure Data Factory and the MS Fabric stack for data integration and orchestration.
• Write and maintain detailed technical documentation for data processes and architecture.
• Monitor and troubleshoot data pipelines to ensure data integrity and quality.
• Stay current with industry trends and best practices in data engineering and integration.

Requirement

• Expertise in Snowflake database development.
• Proficient in Azure Data Factory and the MS Fabric stack.
• Experience with Continuous Integration / Continuous Deployment (CI/CD).
• Strong background in advanced data integration and engineering.
  Proven ability to write clear and comprehensive technical documentation.
• Experience with multiple cloud platforms, specifically Azure and AWS.
  Strong problem-solving skills and attention to detail.
• Excellent collaboration and communication skills.
  

Qualifications:

• Bachelor's degree in Computer Science, Engineering, or related field; Master’s preferred.
• Minimum 5 years of experience in a similar role.

AI and Data Platform Solution Architect/Consultant is a pivotal role responsible for engaging with clients to understand their requirements, demonstrate the capabilities of Data and AI, particularly Large Language Models (LLMs), and architect solutions that meet their needs. This individual should possess a solid understanding of Data fundamentals, with a focus on AI and Analytics, and be adept at conducting Proof of Concepts (POCs) to showcase the effectiveness and applicability of AI & LLM in solving real-world problems. The role involves collaborating closely with sales teams, and clients to articulate the value proposition of Private LLM solutions and drive successful pre-sales activities.

• Leading Education Platform in South East Asia
• Attractive Remuneration Package

Responsibilities:

• Deliver lessons in accordance with the teaching and curriculum standards to ensure a high quality of student learning.
• Monitor student progress through holistic assessments of student behaviour and development.
• Establish and maintain good relationships with students and parents; provide regular updates to parents on students performance and progress.
• Create and maintain a safe and conducive learning environment for students.
• Participate in marketing events and open houses as ambassadors of the company, as required.

Requirements:

• Degree in any discipline.
• Entry level welcome - training will be provided.
• Passion for teaching and nurturing young minds.
• Positive, resilient self-starter with strong work ethic.
• Able to work 3 weekdays and both weekends (Saturday and Sunday).

Salary: $4,500 + variable bonus

Working location: Centers island wide available (Will place you to a centre nearest to your home.)

Working Hours: 5 days work week (3 weekdays + 2 weekends)

To apply, please submit your detailed CV with the following details for faster processing:

• Reason for leaving
• Expected salary
• Earliest availability date

We regret that only short-listed candidates will be contacted shortly.

Summary

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. The people here at Apple donʼt just craft products - they build the kind of wonder that revolutionized entire industries. Itʼs the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Are you interested in being part of a team that continues to innovate the way people and machines interact? The world of Artificial Intelligence and Machine Learning (AIML) is rapidly growing and the human annotation team is a big part of it. Siri is powered by Apple Intelligence and offers a faster, easier way to get things done on your Apple devices, even before you ask. The Data Operations team is passionate about technology with a focus on enriching the customer experience. We are looking for a motivated Annotation Analyst that demonstrates active listening, integrity and acute attention to detail. Bring passion and dedication to your job and there's no telling what you could accomplish. This position will be based at the Apple corporate campus at Ang Mo Kio.

Description

Our team is comprised of very talented individuals, who are passionate about AIML and ensuring Apple services are at their best. As part of the Data Operations team you'll play a central role in enhancing the user experience. We work in a fast paced, dynamic, technology focused environment. As an Annotation Analyst, you'll annotate data which can be both audio and visual and evaluate data from customers who have opted in to the grading program. You'll use your language and cultural knowledge, along with analytical skills, to evaluate responses and information against guidelines. Your flexibility and the ability to prioritize tasks is essential. We focus on the user experience, thinking creatively on how customers use our products and use this knowledge for improvements. Because we believe our individual backgrounds, perspectives, and passions help us build the ideas that move all of us forward. We'll train you to be an expert in understanding, supporting and improving the customer experience. This position is required to work Monday through Friday with work hours starting between 7am-9am and ending between 4pm-6pm local time with scheduling and work flexibility based on business needs.

Minimum Qualifications

• Vietnamese reading, writing, and comprehension skills to support the language specific market
• Fluency in English reading, writing and comprehension skills to partner with international teams
• Excellent active listening skills with the ability to understand verbal nuances
• Understanding of the local region and cultural variations
• Demonstrates integrity and focuses on customer privacy

Preferred Qualifications

• Demonstrates attention to detail and critical thinking skills in evaluation of language usage and dialect
• Highly organized with strong attention to detail
• Ability to independently navigate systems and tools
• Experience in content review or a similar environment, prior testing experience preferred
• Demonstrates flexibility and adaptability to changing work-flows and responsibilities
• Grows with a team where expertise is shared and feedback is welcomed
• Excels at working independently to make timely decisions and take appropriate actions
• Experience as an end user of Siri, similar Intelligent Personal Assistants, or other AI
• Successfully meets or exceeds targets, working within tight deadlines
• Ability to identify business process solutions that increase efficiencies
• Ability to maintain focus and aim for high results through large volumes of tasks
• Ability to work on safety data which could include offensive material
• Thrives in repetitive work and ambiguous scenarios
• Bachelor’s degree or equivalent job-related experience

Senior Data Engineer ( Informatica and MS Fabric )

Job Requirement:

• Data Engineers with experience in Informatica, Microsoft Fabric typically have responsibilities centered around designing, implementing, and managing data pipelines and architectures that support data integration, transformation, and analytics within a cloud-based or hybrid environment.
• Design and implement ETL (Extract, Transform, Load) workflows using Informatica PowerCenter, Informatica Cloud, or Informatica Intelligent Cloud Services (IICS)
• Build and manage ETL and ELT data pipelines using Azure Data Factory (ADF) to orchestrate data movement and transformation across on-premises and cloud environments.
• Create and optimize Spark-based data pipelines in Databricks, using notebooks or jobs to ingest, clean, and transform large datasets for analytics and reporting.
• Work with Microsoft Fabric to integrate and manage dataflows, datasets, and transformation processes across its unified data platform, helping build scalable data pipelines.

Thanks, and Best Regards

Karanam Vijaya Kiran

(EA Registration no: R1443178)

Recruitment Manager

Hand Phone: +65 92333815

Helius Technologies Pte Ltd (EA Licence No: 11C3373)

The exceptional EY experience. It's yours to build.

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity:

EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.

We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.

We are looking for a Data Engineer within the DnA team in our Singapore office. This role is offered on a flexible full time basis.

Your key responsibilities:

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets
• Develop and implement techniques and analytics applications to transform raw data into meaningful
  information using dataoriented programming languages and visualisation software.
• Visualise, interpret, and report data findings and may create dynamic data reports as well
• Design, develop, and maintain the organization's data architecture, including data pipelines, databases, and data warehouses.
• Develop and maintain ETL (Extract, Transform, Load) processes to efficiently move data from various sources to the data
• Implement data quality checks and monitoring processes to identify and resolve data issues in a timely manner.
• Collaborate with data scientists, analysts, and other cross-functional teams to understand data requirements and deliver data solutions that meet business needs.

Skills and attributes for success

• Experience in ETL, Data Engineering, Scripting.
• Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
• Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
• Exceptional communication, documentation and presentation skills and stakeholder management experiences
• Experience in business intelligence, data warehousing/platform, and data strategy projects

To qualify for the role, you must have

• At least a Bachelor's degree in any of these faculties: Computer Science/Information Technology/Programming & Systems Analysis/Science (Computer Studies)
• Minimum total 3 years work experience in at least 1 of these job titles: (1) Chief Data Scientist (2) Data Engineer (3) Data Scientist (4) Head of Data Analytics
• At least 10 years of experience in a relevant industry or consulting role. Management consulting experience gained through a Big 4 is highly advantageous
• Experience in development and maintenance of Data processing pipelines
• Experience developing machine learning workflows
• Work closely with business analysts to create data components
• Application packaging and deployment experience across DEV to PROD environments
• Experienced in engaging and managing a variety of stakeholders
• Prior experience of leading team for projects and pursuits
• Excellent written, communication, and presentation skills in English (additional local language skills are considered an asset)

Ideally, you’ll also have

• Dashboarding experience with Tableau / Power BI
• Experience in engaging with both technical and non-technical stakeholders
• Consulting experience and background, including engaging directly with clients

What we look for

• Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
• An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.

What we offer

EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.

Plus, we offer:

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

If you can demonstrate that you meet the criteria above, apply now.

To learn more about our service offerings, visit https://www.ey.com/en_gl/careers/what-you-can-do-here or subscribe to http://www.youtube.com/ernstandyoungglobal

To learn more about careers in EYSG, please visit https://www.ey.com/en_sg/careers or like us on https://www.facebook.com/eycareerssingapore

About The Role

Goldman Sachs employs thousands of engineers across many divisions. We write software that powers every aspect of our business. It's no surprise that we collect and analyze vast amounts of data relating to the the efficiency of our development processes, the value that we drive through software, and the effectiveness of how we leverage our internal tooling and services to empower development. Our data allows our internal businesses to optimize, focus their attention and manage costs. It allows us to assess the impact and performance of developer productivity initiatives, cost saving initiatives, and manage our huge software inventory.

What We Need

We are seeking a highly skilled Data Software Engineer to design, implement, and maintain robust data systems and pipelines that empower our organization to leverage data effectively. The ideal candidate will come from a software engineering background, with commercial development experience in one or more object-oriented languages (Python, Go, Java, C#). Knowledge of data modeling, pipeline construction, data normalization and sanitization, and data governance would be highly advantageous.

They will collaborate with cross-functional teams to ensure the availability, quality, and security of data to support business objectives.

Key Responsibilities

1. Data Pipeline DevelopmentDesign, build, and maintain scalable and efficient data pipelines for processing and transforming large datasets.
   Ensure pipelines are optimized for reliability and performance.
   
2. Data Modeling and ArchitectureDevelop and maintain logical and physical data models tailored to business needs.
   Optimize data storage solutions for scalability and performance.
   
3. Data Quality and SanitizationImplement processes for data normalization, deduplication, and cleaning to ensure high-quality datasets.
   Identify and resolve data inconsistencies, errors, and anomalies.
   
4. Data Governance and SecurityEstablish and enforce data governance standards, including policies for data access, compliance, and privacy.
   Implement security measures to protect sensitive data and ensure compliance with regulatory requirements.
   
5. Monitoring and OptimizationDevelop monitoring solutions to ensure the health and reliability of data pipelines and systems.
   Continuously optimize performance, storage, and costs of data infrastructure.
   

Qualifications

• Education:Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
  
• Experience:3+ years of experience in software engineering, data engineering or a related role.
  Proven experience with data modeling, ETL/ELT pipelines, and data architecture design.
  Proficiency in programming languages such as Python, Java, or Scala.
  Strong knowledge of SQL and relational databases (e.g., PostgreSQL, Sybase, SQL Server).
  
• Desirable Technical Skills:Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
  Familiarity with data integration tools (e.g., Apache Airflow, Talend, Informatica) and streaming technologies (e.g., Kafka, Flink).
  Experience with data warehouse technologies (e.g., Snowflake, Redshift, BigQuery).
  
• Soft Skills:Strong analytical and problem-solving abilities.
  Effective communication and collaboration skills to work with diverse teams.
  Attention to detail and a proactive approach to ensuring data integrity.
  

Preferred Qualifications

• Experience in conforming to data governance frameworks.
• Knowledge of data lake architectures and unstructured data processing.
• Familiarity with machine learning workflows and AI-driven data applications.
• Certifications in relevant technologies (e.g., AWS Certified Data Analytics, Google Professional Data Engineer).

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2023. All rights reserved.

Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity

Nearest MRT: Buona Vista
Contract Duration: 6 Months
Working Hours: 8.30am – 6pm (Mon-Thu), 8.30am – 5.30pm (Fri)
Basic Salary: $13 per hour

Job Responsibilities:

· To support the design of data collection channels

· To support data integration between data collection channels and dashboard

· To support the identification of opportunities for process automation and improvements

Job Requirements:

· GCE A Levels and above

· Proficient in Microsoft Excel (i.e. creation of databases and calculations/formulas)

· Proficient in Tableau is an added advantage.

· Only Singaporeans.

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

Interested candidates, please forward a copy of your resume to: [email protected].

Justin Lee
Registration No: R22107715
APBA TG Human Resource Pte Ltd
EA License: 14C7275

Role: Reporting and Analytics Developer/Data Engineer

Duration: 12 months (renewable)

Location: Central

We are seeking a Reporting and Analytics Developer/Data Engineer (Associate Consultant skill level) to join the Financial Centre Development Department . The ideal candidate must have strong data modelling and data analysis skills, and familiarity with scripting for automating tasks. The successful candidate will be part of the team that drives data and digital transformation within the development function. Responsibilities include working with partners to streamline processes and implement automation to improve efficiency and quality of output.

Key Responsibilities:

• 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.

Requirements:

• 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.

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

Job Description

• The researcher will assist PI in developing innovative algorithms to model and predict the failures in the spatial temporal distributed systems. Programming is required, with skills in scientific computing.

Job Requirements

At least 3-4 years experience in research; track records in publishing top research paper; experience in programming

Permanent, 5days, Paya Lebar

Our client

MNC in air conditioning ventilation system solution serving high tech industry

Job Scope:

• Plan and manage HVAC projects for data centers.
• Lead project meetings and collaborate with clients, consultants, subcontractors, and internal teams.
• Review project specs, drawings, and contracts for compliance.
• Monitor site progress and address any technical or operational issues.
• Prepare schedules, reports, and project documentation.
• Oversee procurement of materials and equipment.
• Ensure workplace safety, quality, and regulatory compliance.
• Conduct site inspections and guide the project team.

Requirements:

• Degree in Mechanical Engineering or a related field.
• Minimum 2 years of experience in ACMV/HVAC or related M&E projects.
• Familiarity with HVAC systems for data centers.
• Strong project management skills.

Work location :Paya Labar

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

For better response, pls apply via job page

https://recruitmentalliance.zohorecruit.com/jobs/Careers

click job opening, click relevant position

We regret that only shortlisted candidates will be notified

Site Operations Management

• Manage the daily operations and maintenance of signed sites.
• Collect and analyze core data, such as sales, equipment usage, and customer feedback, in a timely manner.

Sales Performance Improvement

• Collaborate with the BD/Sales team to develop and execute strategies for increasing sales at various sites, such as promotional activities and product upgrades.

Value-Added Business Development

• Identify and promote value-added opportunities for sites, such as introducing new machines, expanding functionalities, or integrating resources from other partners.

Cross-Department Collaboration

• Work closely with the product, R&D, logistics, and supply chain teams to facilitate equipment installation, maintenance, and feature updates.
• Maintain synchronized communication with backend departments like finance and HR.

Key Data Monitoring

• Oversee key performance indicators (KPIs) during site operations, such as sales revenue, equipment uptime, and repair response times.
• Provide regular operational feedback and propose improvement suggestions.

Relationship Management

• Maintain cooperative relationships with site owners to continuously optimize collaboration models.
• Preserve and enhance brand image with site partners.

Job Requirements

• At least 6-8 years of experience in site operations management, familiar with site expansion and maintenance processes.
• Strong in data analytics
• Experience in F&B, Retail, Machinery, Equipment or related industries preferred.
• Strong cross-department communication, project management, and problem-solving skills.
• Data-driven mindset with high sensitivity to key operational metrics.

Job Description

· Conduct and analyse market research on commercial-defense products with AI technologies to identify market demand, growth opportunities and competitive threats

· Translate global and regional market intelligence into actionable insights that inform strategic product direction and commercial planning.

· Provide senior leadership with clear, data-driven reports on market trends, customer demands, and emerging technologies that could influence business strategy.

· Ensure compliance for advanced networks, sensors, and AI technologies by managing certification processes and maintaining adherence to industry regulations.

· Develop and optimize pricing strategies for networks, sensors, and AI-based solutions that balance profitability with competitive positioning.

· Lead the development and execution of GTM strategies for advanced networks, sensors, and AI products, targeting both regional and global market penetration.

· Partner with the Product Managers, Marketing and International Business to execute GTM plans that align with customer needs and business objectives.

Requirements

· Bachelor’s degree in Business, Engineering or a related field; advanced degree (MBA or M.S.) or certifications in Digitalisation, AI and Data Science.

· Experience: 5+ years in start-ups or corporate roles in commercial business functions that focused on business model innovation, go-to-market analysis, compliance and commercialisation in the AI, telecommunications and tech sectors.

· Solid understanding of market dynamics and regulatory requirements, with in-depth knowledge of compliance and certification processes relevant to the industry.

· Develop and implement pricing strategies and go-to-market plans.

· Preferred: Proficiency with advanced networks and sensors with AI applications.

· Strong written and verbal communication skills, with experience in delivering markets, business and commercialisation insights and recommendations to senior management.

· Exceptional organizational skills and the ability to manage complex, cross-functional initiatives with multiple stakeholders.

· Leadership: Experience leading teams and fostering collaboration across product, finance, and commercial departments.

· Singaporean only.

· Location: Jurong East / Ang Mo Kio.

Please submit resumes to [email protected]

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Job Description

Role: Senior ETL Test Lead

Must Have:

• At least 10+ yrs. quality assurance with exposure/experience in Agile Development environments for DWH/ETL Projects.

• Experience with Query Surge automated testing tools or equivalent automation skills.

• Can write ETL Testing scripts (using SQL/Python)

• Have deep knowledge of Data Warehousing concepts, ETL Process and cloud systems.

• Has strong testing experience with snowflake and on prem Hadoop and Teradata

• Hands on experience of different DBs like, MS SQL Server, Oracle, DB2 etc.

• 2-3 yrs. Of Domain Knowledge for Banking Projects.

• Identifies, communicates, and escalates issues as required

• A team player and self-starter who will work side by side with the development team

• Ability to multi-task, prioritize tasks and quickly adjust in a rapidly changing environment

• Excellent verbal and written communication skills

• Thorough working knowledge of software testing methodologies and the testing life cycle

Good to have:

• Data Migration testing projects for Cloud or on- premise databases.

• Ability to work independently with clients, proactive, and self-managed

• Solicitation and elicitation of client needs and requirements

• Project Management and Software Development Methodologies

• Industry experience in Banking domain is beneficial

• Familiarity/exposure to programming languages and SQL to allow for defect triaging and automation

• Familiarity/exposure to scripting languages used in test automation

EA Number: 11C4879

Job Description

· Conduct and analyse market research on commercial-defense products with AI technologies to identify market demand, growth opportunities and competitive threats

· Translate global and regional market intelligence into actionable insights that inform strategic product direction and commercial planning.

· Provide senior leadership with clear, data-driven reports on market trends, customer demands, and emerging technologies that could influence business strategy.

· Ensure compliance for advanced networks, sensors, and AI technologies by managing certification processes and maintaining adherence to industry regulations.

· Develop and optimize pricing strategies for networks, sensors, and AI-based solutions that balance profitability with competitive positioning.

· Lead the development and execution of GTM strategies for advanced networks, sensors, and AI products, targeting both regional and global market penetration.

· Partner with the Product Managers, Marketing and International Business to execute GTM plans that align with customer needs and business objectives.

Requirements

· Bachelor’s degree in Business, Engineering or a related field; advanced degree (MBA or M.S.) or certifications in Digitalisation, AI and Data Science.

· Experience: 5+ years in start-ups or corporate roles in commercial business functions that focused on business model innovation, go-to-market analysis, compliance and commercialisation in the AI, telecommunications and tech sectors.

· Solid understanding of market dynamics and regulatory requirements, with in-depth knowledge of compliance and certification processes relevant to the industry.

· Develop and implement pricing strategies and go-to-market plans.

· Preferred: Proficiency with advanced networks and sensors with AI applications.

· Strong written and verbal communication skills, with experience in delivering markets, business and commercialisation insights and recommendations to senior management.

· Exceptional organizational skills and the ability to manage complex, cross-functional initiatives with multiple stakeholders.

· Leadership: Experience leading teams and fostering collaboration across product, finance, and commercial departments.

· Singaporean only.

· Location: Jurong East / Ang Mo Kio.

Please submit resumes to [email protected]

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

Company’s Profile

Our client, a security solutions provider has been established for more than 25 years, with a strong reputation in the industry. They specialize in delivering comprehensive turn-key security systems, from design and integration to maintenance and support and serve clients in government, trade and commercial sectors. They are now looking for Data Center Engineers to join their expanding team!

Location: Tampines

Working hours: Monday to Friday, Standard Office Hours

Responsibilities:

• Oversee building and data centre facilities: recording and reporting on the BMS / EMS / Fire D&P / Chiller / Electrical etc
• Administrator for preventative maintenance programs to ensure that equipment are properly serviced & maintained
• Maintain good documentation of facilities and / or equipment maintenance
• Prepare monthly SLA reports for equipment uptime, power usage & temperature readings
• Respond to emergency situation and be on 24x7 standby duty
• Prepared to be on 24x7 standby recall to provide extra manpower coverage when necessary
• Oversee new data centre projects as well as renovation and maintenance to existing space
• Responsible to handle site inspections / audits by external authority (eg. HDB/LTA/NEA/FSB)
• Scheduling and tracking of servicing jobs and vendor management on a day to day basis
• Maintain high customer service level standards
• Managed all facilities contracts

Requirements:

• Min. Diploma or Degree in Building / Facility Management or any other related field
• Min. 1 year relevant experience in Data Centre facility management and vendor management
• Good knowledge in building technology, mechanical and electrical services and facilities management
• Project management is preferred

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312