Job Scope:

• Design and develop an extract, transform, load (ETL) ingestion & transformation using Azure Data Bricks (Pyspark - Notebooks) & Azure Data Factory (ADF).
• Design and implement a data storage solution using Azure Data Lake.
• Migrate on-prem SQL data warehouse to Azure Synapse (Azure SQL DW).
• Engage and collaborate with customers to understand business requirements and translate them into detailed technical specifications.
• Involve in data modeling and designing the solution for entire Business Intelligence Warehouse.

Job Qualifications:

• Degree in Computer Science or equivalent.
• Solutioning and hands-on experience in Azure Synapse, Azure Data Factory or similar toolset.
• Basic knowledge of DB2, MSSQL, cloud infrastructure and security.
• Experience in troubleshooting and resolving data migration issues.
• Experience in managing data cleansing activities, analysis, tracking, and stakeholder management.
• Experience in integrating data from multiple sources to produce requested or required data elements.
• Demonstrated professional experience in data mining, analysis and modeling of large-scale complex data sets.
• Exceptional written and verbal communication and presentation skills.

Interested candidates can click apply for more information.

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

We respect your privacy and all communication will be treated with confidentiality. If you wish to know more about this position or explore other roles, please prepare your updated profile and get in touch with our consultants.

Please note that your response to this advertisement and communications with us pursuant to this advertisement will constitute informed consent to the collection, use and/or disclosure of personal data by Manpower for the purpose of carrying out its business, in compliance with the relevant provisions of the Personal Data Protection Act 2012.

Rallonza Bernice Mae Nocum | EA License No. 02C3423 Personnel | Registration No. R1442141

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.

We’re looking for a motivated leader with a growth mindset and a passion for driving success. You’ll be responsible for creating a strong vision for our front of house, taking ownership of strategies that support the business's expansion and success. This role requires emotional intelligence, relationship-building skills, grit, attention to detail, and energy.

Responsibilities:

• Master Lead Generation: Implement strategies to exceed customer acquisition targets.
• Build Brand Knowledge: Complete comprehensive training to become an expert in our products and marketing approach.
• Drive Engagement: Represent our brand in face-to-face marketing and customer acquisition.
• Amplify Brand Presence: Plan and manage events to boost brand awareness.

Why Join Us?

• Fast-Track Career Growth: Take advantage of abundant advancement opportunities as you grow into leadership roles.
• Travel Opportunities: Experience regional and international travel as part of our team.
• One-on-One Mentorship: Learn from top leaders who are invested in your success.
• Hands-On Training: Get all the support you need to thrive in the marketing industry.

Why Us?
We partner with top multinationals to drive market growth, and our culture is all about excellence and empowering future leaders.

Ready to unleash your potential? Join us and embark on a journey of endless possibilities! Apply today!

Job description

gTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.

Qualifications

Job responsibilities

• Lead data science aspects of client engagements in the area of marketing effectiveness and marketing portfolio management with deep knowledge of Machine Learning (ML) and statistics.
• Collaborate with customers to unpack their problems and identify the best statistical techniques that can solve the problem and own the development of modeling framework.
• Engage stakeholders to assess data and model readiness and be able to scale a proof-of-concept to a larger solution.
• Work with customers and internal teams to translate data and model results into tactical and strategic insights that are actionable for decision-making. Co-present to and work with clients to integrate recommendations into business processes.
• Collaborate with Product/Engineering teams to increase and optimize capabilities of our Applied Data Science team, employing methods which create opportunities for scale, proactively helping to drive innovation.

Minimum qualifications

• Bachelor's degree, or equivalent practical experience.
• 1 year of experience in a Data Science field.

Preferred qualifications

• Master's degree in Statistics, Mathematics, Bioinformatics, Economics, another quantitative field, or equivalent practical experience.
• Experience with data extraction and modeling tools (SQL, Python).
• Experience delivering insights from AI/ML and statistical solutions to clients, including problem scoping/definition, modeling and interpretation.
• Experience with statistical software (such as Python, R or MATLAB) and database languages (such as SQL) with understanding of Artificial Intelligence/Machine Learning (AI/ML).
• Understanding of the statistical algorithms typically used in Marketing Analytics.

Our client is from Construction industry. Due to their current expansion plan, they are looking for a HR Executive - Recruitment to join their team, in hopes of developing the current high performing team. They are located in the Central.

Job Responsibilities

• Support recruitment activities, including posting job advertisements, candidates screening, and interview arrangement.
• Manage the onboarding and offboarding processes.
• Organize and oversee training and development programs.
• Handle payroll processing.
• Manage applications, renewals, and cancellations of work passes.
• Handle general matters, including updating residential addresses, managing levy waivers, medical check-ups for new hires, etc
• Conduct market surveys for MOM, IRAS, CPF, WDA, and other HR-related studies.
• All other adhoc duties as assigned.

Requirements

• Minimum NITEC in HR Manager/ Business Administration or equivalent.
• Min 2 years relevant experience.

Interested candidates who wish to apply for the advertised position, please click APPLY NOW or email an updated copy of your resume/cv.

We regret that only shortlisted candidate will be notified.

Email: [email protected]

Recruitpedia Pte. Ltd.

EA License No. 19C9682

EA Reg. No. R23115553 (Lai Hor Yan)

Our Client:

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

Responsibilities:

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

Requirements:

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

For interested applicants, please click "Quick Apply”

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

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

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

Just ORD-ed or graduated and looking to kickstart your career? Join us at Euphoria! We are a sales and marketing powerhouse which partners with well known clients to generate revenue for them. If you love tackling challenges with a smile and thrive in a lively environment, we want you to be part of our adventure!

Why Us?

Transformative Culture - We foster an environment where passion and innovation thrive. You'll work alongside vibrant & forward-thinking individuals who are committed to making a difference.

Career Growth - Your success is our utmost priority. With clear-cut stages of advancements and trainings, your progress trajectory will be defined and limitless.

Take To The Skies - We never limit ourselves locally. Gain exposure by going on different trips globally and getting insights on how to further grow oneself.

What You'll Do

Sales - Drive numbers up and achieve monthly & quarterly targets.

Grow - Manage a team of visionaries to develop and execute different marketing strategies.

Lead - Take up new clients and projects, be the face of them to assist with onboarding processes.

Ready To Make Your Mark?

If you're ready to join a team that values your expertise, celebrates your achievements and allows you to maximise your potential, apply now and become a part of Euphoria!

Information

1. Salary range: $2,500 - $3,500
2. Mon-Fri, 8:30 am–5:30 pm

Responsibilities:

• Provide sales and technical support to new and existing customers.
• Maintain good customer business relationship.
• Provide support to Outside Sales Team and work closely to achieve the sales target.
• Handle sales enquiries and prepare quotations in the timely manner.
• Monitor and update status of sales quotes and proposals.
• General sales administrative duties.
• ITE/Diploma in Chemical/ Engineering/ Mechanical/ Mechatronics discipline.
• Experience in Mechanical Instrumentation & Controls will be at advantage.
• Entry level candidates are welcome to apply.

Interested applicants, send in your updated resume by clicking “Apply Now”.

Lin Weikang
EA Personnel No: R21102570
EA License No: 23C1894

• 6 months contract role
• Opportunity to convert into permanent role
• Newly created role for the upcoming new project

about the company

Our client is a global leader within its industry. They operate across a global scale and are recognised as true industry leaders. They are considering one of the largest companies in the world by revenue. Great career opportunity awaits the right person in this exciting Senior Data Engineer role

about the job

• Build and manage processes to extract, transform, and load data from various sources (e.g., ERP, CRM, e-commerce, omnichannel platforms) into centralized systems.
• Drive efforts to streamline data sources and reduce redundant subscriptions, particularly from omnichannel platforms.
• Implement models to support business functions like sales forecasting, customer segmentation, and pricing optimization.
• Develop secure, scalable infrastructure to accommodate growing data volumes across both cloud and on-premises environments.
• Work with teams to uncover data-driven insights, especially from emerging omnichannel sources.
• Oversee data integrity through profiling and cleansing, including handling third-party and Chinese data labels.
• Improve data pipeline efficiency and query performance to provide timely insights.
• Provide technical assistance to help teams leverage data insights for enhanced business performance.

successful candidate

Minimum 3 years of experience in data engineering across cloud and on-premise environments.

Strong proficiency in SQL, Python, and data warehousing concepts. Familiarity with cloud-based platforms such as AWS, GCP, or Azure.

whats on offer
This is a 6 months contract role for a Senior Data Engineer will pay a salary range of $ 7,000 to $ 9,000 plus perks from the company. This is an opportunity to lead and collaborate with technology for the global enterprise wide of the company.

To apply online please use the 'apply' function, alternatively you can reach me at https://www.linkedin.com/in/Oliviatoh-032330132/. (EA: 94C3609 / R22109942)

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

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

YOUR ROLE

Are you passionate about designing innovative data solutions that align with business strategies and drive organizational transformation? We are seeking a seasoned Data Solutions Architect to lead the design, development, and implementation of enterprise data strategies and architectures. If you have extensive experience in data engagements and a strong background in banking domains, we’d love to hear from you.

Architecture and Strategy

• Understand existing landscapes, client capabilities, and requirements to design scalable, high-performance, and reliable data solutions.

• Develop enterprise data strategies aligned with business objectives, including data roadmaps and transformation projects.

• Design and implement various data architecture models, including data warehouse, integration, and business information models.

• Provide strategic guidance, roadmaps, and detailed implementation plans for data solutions.

Leadership and Development

• Lead cross-functional teams to design and develop data solutions as per proposed architectures.

• Act as the primary point of contact for architecture design and development queries.

• Identify and adopt new technologies and methodologies to enhance performance, automation, and scalability.

Business Development Support

• Collaborate with the sales team to shape and design solution architectures for proposals.

• Participate in client meetings, addressing technical and strategic concerns.

Governance and Compliance

• Define and implement data governance frameworks, including assessments, roadmaps, and execution plans.

• Ensure compliance with analytical, regulatory, and compliance reporting requirements.

Experience and Qualifications

Primary Skills

• 15+ years of experience in data engagements, including leading data strategies, roadmaps, and implementations.

• Expertise in data architecture methodologies, including enterprise data strategy, data models (ER, star schema, normalized/denormalized), and lifecycle management.

• Proven banking domain knowledge and experience with regulatory compliance and reporting.

• Strong experience in data migration strategies, including planning, costing, and execution.

• Master Data Management expertise, with tools such as Informatica MDM, Stibo PIM, Talend Data Fabric.

Technical Proficiencies

• Data and Architecture Tools: PowerDesigner, ArchiMate, Toad, ERWin.

• Databases: PostgreSQL, Oracle, SQL Server, DB2, Teradata, Hive, Pig, Impala, MongoDB, Cassandra, HBase, Snowflake.

• Programming and Scripting: SQL, PL/SQL, NoSQL, Shell scripting, T-SQL, DAX.

• Design Methodologies: Inmon and Kimball methodologies, hierarchical models.

• Cloud and Web Tools: Amazon AWS, WordPress, Google Analytics/GTM.

Additional Skills

• Familiarity with TOGAF for architecture frameworks and DAMA-DMBOK for data management.

• Experience in tools like MS Project, JIRA, and rLean for management.

WHAT YOU’LL LOVE ABOUT WORKING HERE

• We promote Diversity & Inclusion as we believe diversity of thought fuels excellence and innovation.

• In Capgemini, you are the architect of your career growth. We equip people in maximizing their full potential by providing wide array of career growth programs that empower them to get the future they want.

• Capgemini fosters impactful experiences for its people that would aid in bringing out the best in them for them, for the company, and for their clients.

Disclaimer:

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities, Qualifications required for this position. Physical, mental, sensory, or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity. Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

ABOUT CAPGEMINI

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Get the future you want | www.capgemini.com