Working hours: 10am to 6pm (Monday to Friday)

Working location: Woods Square

Key Responsibilities:

• Provide comprehensive administrative assistance to senior management, including managing calendars, scheduling meetings, and organizing travel arrangements
• Prepare, format, and file important documents such as reports, memos, presentations, and correspondence, ensuring confidentiality and accuracy
• Organize and coordinate internal and external meetings, prepare agendas, take minutes, and follow up on action items to ensure smooth operations
• Act as a liaison between management and employees, clients, and stakeholders, handling communications efficiently and professionally
• Support ongoing projects by tracking timelines, coordinating resources, and ensuring deadlines are met, while assisting in preparing project-related reports
• Maintain accurate records and databases, performing data entry tasks and updating information as needed for easy retrieval and reporting
• Assist in planning and organizing company events, meetings, and conferences, managing logistics, vendors, and accommodations
• Support the preparation and tracking of budgets, invoices, expense reports, and other financial documents, ensuring accuracy and compliance
• Conduct research and provide information to assist management in decision-making processes, including gathering relevant data and preparing summaries
• Oversee office supplies, facilities, and equipment maintenance to ensure a well-functioning workplace environment

Requirements:

• Minimum Diploma and above
• Strong organizational abilities with attention to detail, capable of managing calendars, meetings, and deadlines efficiently
• Excellent written and verbal communication skills, with the ability to interact professionally with staff, clients, and stakeholders
• Proactive and self-motivated with a positive attitude towards personal and professional growth
• Fresh graduates are welcome; no prior experience required

EA Reg. Number: R21100629

EA License Number: 22C1278

Job Responsibilities:

• Perform routine preventive maintenance and site corrective work.
• Responsible for the integration of both hardware and software, as well as implementation.
• Ensure proper execution of integration, engineering, and maintenance work, including QA technical checks throughout the project.
• Manage application program change, hardware deployment, and documentation.
• Conduct client meetings and handle reports and documentation.
• Capable of performing troubleshooting independently.

Requirements:

• Diploma in Electrical/Electronic or related discipline.
• Able to perform standby duties once training completed
• Good interpersonal skills, able to work both independently and in teams.
• Site maintenance and travelling is required.

HOW TO APPLY:

Interested applicants, please click on “Apply Now” and provide the below details in your resume.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).
Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd
EA License No: 19C9950
EA Personnel: Nyon Hock Sen
EA Personnel Reg No: R24124070

Working location: Orchard

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Develop and execute content strategies that align with the organization’s marketing goals and target audience
• Conduct market research to identify content trends, audience needs, and competitive landscape
• Produce high-quality, engaging content for websites, blogs, social media, email campaigns, and other digital platforms
• Ensure all content is optimized for SEO and adheres to brand guidelines and tone of voice
• Manage and grow the organization’s social media presence across platforms such as Facebook, Twitter, LinkedIn, Instagram, and others
• Develop and implement social media campaigns to increase engagement and followers
• Conduct keyword research and implement SEO best practices to improve content visibility and search rankings
• Track and analyze the performance of digital content using tools like Google Analytics, social media analytics, and other metrics
• Work closely with graphic designers, videographers, and other content creators to produce cohesive and visually appealing content

JOB REQUIREMENTS

• Minimum Diploma and above
• Willing to learn and flexibility to adapt to working environment
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

Working location: Orchard

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Contribute ideas and suggestions for process improvements, enhancements, and innovations to optimize project management practices
• Actively seek feedback from mentors, trainers, and project managers to identify areas for improvement and development
• Communicate effectively with project stakeholders, including clients, team members, and senior management, to provide updates on project status, progress, and key milestones
• Act as a liaison between project teams and stakeholders, facilitating communication and ensuring alignment on project objectives and expectations
• Assist project managers in planning and executing project activities, tasks, and deliverables
• Coordinate with project team members, stakeholders, and vendors to ensure project milestones and deadlines are met
• Participate in a structured training program to learn project management principles, methodologies, and best practices
• Attend training sessions, workshops, and seminars to develop skills in project planning, execution, monitoring, and control
• Learn how to use project management tools and software to manage project tasks, schedules, budgets, and resources

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong organizational and time management abilities, with the ability to prioritize tasks and meet deadlines
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

A career that makes a difference

Whether you are just beginning your career or an experienced professional looking for a change.

If you are looking for an entrepreneurial role with flexibility and unlimited income potential, join us to discover more about the career as a Financial Advisor.

Key responsibilities:

• Assess clients’ financial situation to develop strategies to help client meet their financial goals.
• Provide advice on insurance to help companies and individuals plan for their financial futures.
• Help clients with financial planning in areas such as retirement, education, and investments with our full product suite.
• Review and follow up with clients on a regular basis to assess how developments in their life might affect their financial plan.
• Preparing and interpreting financial document summaries, investment performance report and income projections for clients.
• Build and maintain effective relationships with existing clients.

Benefits & Rewards

Training and professional development

We’ll help you gain the certifications, soft skills, and knowledge you need to succeed while supporting your growth with structured courses and trainings. Our dedicated managers will constantly be there to guide you through your developmental journey.

Funding Programme

We provide a structured corporate financing scheme for the first 24 months of your career to fast-track your success.

Rewards

Work hard and play hard with us as we incentivize our top performers.

Flexible incentive structure

Enjoy unlimited potential income through our multi-layered incentive structure that includes commissions, quarterly performance-based incentives, annual bonuses, and great incentive trips.

Qualifications

To join us as a Financial Advisor, you should:

• Have obtained a diploma or degree in any field
• Enjoy seeing tangible results of your hard work, and motivated by performance-based incentive structures
• Have good interpersonal skills and be passionate about helping customers achieve greater financial competency

We pride ourselves to provide quality services as a leading recruitment consultancy in Singapore. We are looking for dynamic, driven and focus individual to join our distinctive team in driving the business development strategy and recruitment processes for our clients. If you think you can take up the challenge as a professional Recruitment Consultant in this ‘people oriented’ field, do not hesitate, come and join us!

Responsibilities:

• Identify and assess potential candidates
• Conduct interview and manage selection procedures
• Design job descriptions and interview questions
• Organize and attend recruitment events
• Lead discussions in quarterly and annual hiring needs by department
• Foster long-term relationships with past applicants and potential candidates
• Involve actively in Human Resource activities with regards to Hiring and Managing of potential candidates

Requirements:

• Degree in any Discipline
• Candidates with strong track record in sports or co-curricular activities will have an added advantage
• Candidate with great team spirit, persistency, good communication and interpersonal skills are welcome to apply

Interested candidates please send in your resume to:

[email protected]

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

• Entry-level with a Degree in Chemistry
• Location: Jurong Island
• Salary: up to $3,000 + $950 Allowance + Night Shift Allowance + AWS + VB + Flexi Benefits
• 12 hours rotational shift (7.15 am – 7.15 pm/ 7.15 pm – 7.15 am)
• With good career progression

Overview of Role:

You will conduct routine and non-routine analyses to support process control and quality on-site.

Key Responsibilities:

• Plan, organize, and perform quality control (QC) analysis of raw materials, in-process, and finished products using established testing methods.
• Coordinate QC activities to meet the needs of other departments and the business.
• Make daily decisions based on QC results, ensuring accuracy, and troubleshoot as needed to ensure correct results.
• Proactively identify and implement improvements to QC products and systems.
• Lead short-term projects (up to six months) involving non-routine analysis, including investigating customer complaints that may involve multiple departments.
• Calibrate equipment and maintain records following standard procedures.
• Communicate accurate results promptly to relevant departments to ensure product quality aligns with customer specifications.
• Provide guidance to plant operators in the lab and take full responsibility for the QC lab outside normal working hours.
• Supervise and train new QC team members on products and testing methods.

Education:

• Degree in Chemistry, fresh graduates are welcome
• With chemical lab testing experience during internship added advantage

Interested candidates please apply online or send your latest CV to [email protected]

Kindly note that only shortlisted candidates will be notified.

Triton AI Pte Ltd

Registration Number: R23118389

EA: 21C0661

A Cloud Data Engineer specializing in AWS, Databricks, and Informatica IDMC is responsible for building and maintaining a robust, integrated, and governed data infrastructure that leverages the strengths of the analytics platforms to extract valuable insights from data while ensuring data security, compliance, and high-quality data management.

Roles And Responsibilities:

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.
• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.
• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.
• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.
• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.
• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.
• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Step Functions, AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.
• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.
• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.
• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.
• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.
• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

Requirements / Qualifications:

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.
• Minimum 5 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.
• Proficiency in programming languages such as Python, Java, or Scala for building data pipelines.
• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.
• Strong knowledge of SQL and NoSQL databases.
• Familiarity with data modeling and schema design.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• AWS certifications (e.g., AWS Certified Data Analytics - Specialty, AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus.

Preferred Skills:

• Experience with big data technologies like Apache Spark and Hadoop on Databricks.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Familiarity with data visualization tools like Tableau or Power BI.
• Understanding of DevOps principles for managing and deploying data pipelines.
• Experience with version control systems (e.g., Git) and CI/CD pipelines.
• Knowledge of data governance and data cataloguing tools, especially Informatica IDMC.

Who We Are

We are a market leader that thinks and acts like a start-up. We design, build, manage, and modernize the mission-critical technology systems that the world depends on every day. So why work with us? We are always moving forward—always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers, and our communities.

The Role

Collaborate with business partners, stakeholders, product owners, and data teams to understand business requirements and translate them into GenAI (enterprise) solutions.
Optimize and fine-tune large language models for better performance, latency, memory, and throughput.
Work with software developers and data scientists to integrate AI systems into existing platforms or applications.
Identify relevant data sources for specific use cases and design methods for data collection, integration, cleansing, and transformation. Partner with data scientists and architects to ensure the quality and relevance of data for GenAI model training.
Play a lead role in the technical and architectural decision-making process with external GenAI service providers (e.g., Azure Open AI, GCP Gemini models, or AWS Bedrock, and other open-source LLMs) to ensure that the solutions are scalable, maintainable, and cost-effective.

Your Future with Us

Becoming a Senior Data Scientist is an excellent gateway to many different paths. You’ll create a well-rounded skill set while gaining professional certifications and qualifications. You can evolve horizontally into other technical or non-technical areas such as Data Science Team Lead, VP of Data Science, Chief Data Officer, or move vertically to become a Chief Data Scientist. With many types of Data Science roles, there’s an opportunity for everyone to find the perfect fit.

Who You Are

You're skilled and possess the required experience to prove it. However, just as important is your growth mindset—you’re keen to drive your personal and professional development. You prioritize customer success in your work and are open and inclusive in how you collaborate with others.

Required Skills and Experience

• 10-15 years of experience in the data science and AI industry
• PhD qualifications preferred
• Experience with LLMs, Ci/CD pipelines design and management, understanding of LLMops, and hands-on experience with ML and DL frameworks and libraries
• Expertise in optimizing and fine-tuning large language models for enhanced performance, latency, memory, and throughput

Being You

Diversity is about more than appearances or backgrounds; it’s how we think and who we are. We welcome people from all cultures, backgrounds, and experiences. Our Inclusion Networks are just one of many ways we create a supportive workplace. This commitment to inclusivity means everyone can bring their whole self to work, individually and collectively, supporting the activation of an equitable culture.

What You Can Expect

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, form new relationships, and create new value. We care about your well-being and offer benefits that provide choice, reflecting the diversity of our team and supporting you and your family throughout life's moments. Our learning programs grant access to the best in industry certifications, including Microsoft, Google, Amazon, Skillsoft, and more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. We invest heavily in your growth, aiming for mutual success.

SCOPE OF THE ROLE

You will be responsible for the end-to-end software development and support for all work related to projects, quarterly change requests, L3 production fixes. This includes software product implementation and administration, application design, development, implementation, testing and support. You will be expected to work on Kubernetes based platforms.

You will also be responsible for quality assurance of the team’s delivery in conformance with the Bank-defined software delivery methodology and tools. You will partner with other technology functions to help deliver required technology solutions.

Other responsibilities include:

- Create frameworks, technical features which helps in faster implementation of OpenShift Kubernetes based applications

- Carry out POCs involving new data technologies, new container platforms, sidecars, daemonsets

- Design and develop application frameworks for container integration

- Create technical documents such as solution design, program specifications for target solutions

- Perform design and development of applications which may not be limited to: Software Applications, Data Integration, User Interfaces, Automation

- Maintain and recommend software improvements to ensure a platform centric management of software applications

- Performance tuning

- Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing

- Perform tasks as part of a cross functional development team using agile or other methodologies and utilising project management software

- Independently install, customise and integrate software packages, programs, product releases

Functional skillsets

Hands-on experience in implementing large scale data warehouse & analytics platforms in financial services industry with good functional knowledge of products & services offered in Retail bank / Wholesale / Global Markets covering some of the following analytics domains:

- Experience in deploying stateless, stateful workloads on OpenShift Kubernetes based platform

- Experience in developing microservices applications using node js, React, Java, RabbitMQ, Akka framework, Apache Consul, Apache Geode, Redis

- Experience in developing frameworks using Spark, Scala, Java, Python

- Experience in working with in-memory applications

- Strong knowledge of Operating Systems

- Experience in container deployment management using either Helm Package manager or Kustomize

- Experience in integrating container applications with an external security vault such as CyberArk Conjur, AAM

- Experience in deployment automation of container applications using Jenkins, Jfrog, Gradle, Bitbucket, Groovy

- Expertise in implementing appropriate security of data (SSL, Encryption)

- Expertise in Load balancing and replication, scheduling

- Good knowledge of Custom Resources, Docker, Taints & tolerances, Node affinity, ConfigMaps

- Experience in Shell scripting, Control-M

- Expertise in design of role based fine grained access control

- Supporting application failures, planning for resiliency, Back-up Recovery

Technical skillsets

Cloud Engineer

- Platforms provided by IBM Cloud Pak for Data (CP4D)

- Kubernetes based platforms such as OpenShift, AWS, Azure, GCP

- Software defined storage (ODF)

- IBM Storage Fusion

- S3 compatible storage options (Dell ECS, HCP)

- Node js, React, Java, RabbitMQ, Akka framework, Apache Consul, Apache Geode, Redis

- Scala, Java, Python

- Helm Package manager, Kustomize

- Jenkins, Jfrog, Gradle, Bitbucket, Groovy

- Shell scripting, Docker

- Splunk, Prometheus, Geneous

At least, 2 to 3 technical certifications in any of the below technologies:

1. OpenShift

2. Kubernetes, Docker

3. Language – SQL, Java, Python, Scala

Automation / scripting – CtrlM, Shell Scripting, Groovy

1. CI/CD software, Testing Tools - Jenkins, SonarQube

2. Version Control Tool - Aldon+LMe, CA Endeavor

3. Deployment Tool kit -Jenkins

4. Service or Incident Management (IcM) Tools - Remedy

5. Source Code Repository Tool - Bitbucket

6. Scheduling Tool - Control-M

7. Defect Management Tool - JIRA

8. Application Testing tool – QuerySurge

9. Cloud certification

- Bachelor’s degree/University degree in Computer Science, Engineering, or equivalent experience

Key Responsibilities

Responsible for the end-to-end software development and support for all work transitioned from Group (which could be projects, quarterly change requests, L3 production fixes) which includes analysis and design to development, implementation, testing and support. Expected to work on Group Retail Data Mart Project.

Responsible for quality assurance of the team delivery in conformance to the Bank-defined software delivery methodology and tools. Partner closely with the Group domain team to plan and manage transitioned deliverables

• Create technical documents for the solutions. Compile timely, comprehensive, and accurate documentation and or reports as requested
• Develop system documentation to capture key design decisions
• Perform design and development of applications according to change requests and project requirements
• Design and update software database/tables. This includes, but is not limited to: Software Applications, Data Communication Processes and User Interfaces
• Test, maintain and recommend software improvements to ensure strong functionality and optimization
• Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform unit testing
• Independently install, customise and integrate software packages and programs
• Perform tasks as part of a cross functional development team using agile or other methodologies and utilising project management software

Requirements

• Hands on with Cloudera Hadoop platform tools such as HDFS, Hive, Impala, Spark
• Experience in Informatica Power Center, Data Integration suite of tools and Big Data Management
• Strong SQL skills
• Experience in writing Unix shell scripting
• Hands on Teradata
• Support project and delivery team all throughout the project implementation

Who We Are

We are a market leader that thinks and acts like a start-up. We design, build, manage, and modernize the mission-critical technology systems that the world depends on every day. So why work with us? We are always moving forward—always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers, and our communities.

The Role

Collaborate with business partners, stakeholders, product owners, and data teams to understand business requirements and translate them into GenAI (enterprise) solutions.
Optimize and fine-tune large language models for better performance, latency, memory, and throughput.
Work with software developers and data scientists to integrate AI systems into existing platforms or applications.
Identify relevant data sources for specific use cases and design methods for data collection, integration, cleansing, and transformation. Partner with data scientists and architects to ensure the quality and relevance of data for GenAI model training.
Play a lead role in the technical and architectural decision-making process with external GenAI service providers (e.g., Azure Open AI, GCP Gemini models, or AWS Bedrock, and other open-source LLMs) to ensure that the solutions are scalable, maintainable, and cost-effective.

Your Future with Us

Becoming a Senior Data Scientist is an excellent gateway to many different paths. You’ll create a well-rounded skill set while gaining professional certifications and qualifications. You can evolve horizontally into other technical or non-technical areas such as Data Science Team Lead, VP of Data Science, Chief Data Officer, or move vertically to become a Chief Data Scientist. With many types of Data Science roles, there’s an opportunity for everyone to find the perfect fit.

Who You Are

You're skilled and possess the required experience to prove it. However, just as important is your growth mindset—you’re keen to drive your personal and professional development. You prioritize customer success in your work and are open and inclusive in how you collaborate with others.

Required Skills and Experience

• 10-15 years of experience in the data science and AI industry
• PhD qualifications preferred
• Experience with LLMs, Ci/CD pipelines design and management, understanding of LLMops, and hands-on experience with ML and DL frameworks and libraries
• Expertise in optimizing and fine-tuning large language models for enhanced performance, latency, memory, and throughput

Being You

Diversity is about more than appearances or backgrounds; it’s how we think and who we are. We welcome people from all cultures, backgrounds, and experiences. Our Inclusion Networks are just one of many ways we create a supportive workplace. This commitment to inclusivity means everyone can bring their whole self to work, individually and collectively, supporting the activation of an equitable culture.

What You Can Expect

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, form new relationships, and create new value. We care about your well-being and offer benefits that provide choice, reflecting the diversity of our team and supporting you and your family throughout life's moments. Our learning programs grant access to the best in industry certifications, including Microsoft, Google, Amazon, Skillsoft, and more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. We invest heavily in your growth, aiming for mutual success.

4o

JOB SUMMARY

We are looking for a talented and experienced Lead Data Engineer to join our innovative team. The Lead Data Engineer will play a critical role in leading the design, development, and maintenance of our data infrastructure, pipelines, and analytical tools. The ideal candidate will have a strong technical background in data engineering, expertise in analytical tools, and proven leadership skills to mentor and guide a team of data engineers.

JOB DUTIES

• Lead the design, development, and implementation of scalable and efficient data pipelines, databases, and data infrastructure.
• Mentor, coach, and guide a team of data engineers, providing technical leadership and support.
• Collaborate with data scientists, product managers, and business stakeholders to understand data requirements, facilitate data-driven decision-making, and deliver actionable insights.
• Optimize database schemas, tables, and queries to support data storage, retrieval, and analysis.
• Integrate and optimize analytical tools such as Tableau, Power BI, or Looker to enable advanced data analysis, visualization, and reporting capabilities.
• Develop and enforce data engineering best practices, standards, and guidelines to ensure the quality, performance, and reliability of our data solutions.
• Implement ETL processes to integrate data from various sources, ensuring data quality, consistency, and integrity.
• Optimize data pipelines, queries, and infrastructure for performance, scalability, and cost-efficiency.
• Monitor and troubleshoot data pipelines and infrastructure issues, and provide timely resolutions.
• Stay up-to-date with the latest data engineering technologies, analytical tools, and best practices, and drive their adoption within the team.
• Ensure data security, compliance with data governance and privacy regulations, and adherence to analytical tool licensing agreements.
• Work closely with cross-functional teams to identify data needs and requirements, and deliver data solutions that meet business objectives.
• Document data pipelines, processes, and best practices, and contribute to the development of data engineering documentation and standards.
• Stay up-to-date with the latest data engineering technologies, tools, and best practices, and recommend their adoption as appropriate.

JOB REQUIREMENTS

• Bachelor’s degree in Computer Science, Information Systems, or equivalent work experience.
• 8+ years of experience in data engineering, with at least 3 years in a lead or senior engineering role.
• Proven leadership skills with experience in mentoring, coaching, and guiding a team of data engineers.
• Strong technical background in designing and implementing data pipelines, databases, and analytical tools.
• Proficiency in programming languages commonly used in data engineering such as Python, Java.
• Hands-on experience with big data technologies and frameworks such as Hadoop, Spark, Kafka, and Hive.
• Hands-on experience with analytical tools such as Tableau, Power BI, Looker, or similar platforms.
• Solid understanding of relational and NoSQL databases, and experience with database design, optimization, and SQL querying.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Experience with real-time data processing and streaming technologies (e.g., Apache Flink, Kafka Streams).
• Excellent analytical and reasoning skills with an ability to anticipate outcomes of a solution.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Strong sense of responsibility, initiative, and commitment.
• Self-motivated, proactive, and able to work independently with minimal supervision.
• Knowledge of data governance, data security, and compliance standards and best practices.
• Maintain confidentiality of information processed or prepared.
• Ability to lead, convince and inspire team members in a fast-paced environment.
• Willingness to travel to meet and work with offshore team members.
• Fluency in written and spoken English and Mandarin is highly desirable to liaise with Chinese speaking clients and counterparts.

Job Description

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

Technical Knowledge/Skills/Competencies

• Technical expertise in:
  • Relational/non-relational/NoSQL database and enterprise data warehouse/mart;
  • Big data technologies e.g. Hadoop, Spark, Hive, HBase etc.
  • Data ingestion technologies e.g. Flume, Kafka, NiFi etc. and
  • Scripting, programming and software development using e.g. Java, C/C++, Python, R, MATLAB, Scala, SQL etc. for Windows or Linux environments.
• Experience in master data management, data governance, data lifecycle management etc
• Experience in designing, documenting, implementing and supporting data management solutions
• Experience in using software engineering best practices in development, programming, testing, version control etc.
• Knowledge of data privacy and security assurance
• Knowledge of machine learning, computer vision and large languagemodels will be advantageous.

Soft Skills

• Excellent written and verbal communications skills
• Highly organised, motivated, independent and resourceful team player
• Strong analytical thinking, interpersonal and problem-solving skills and
• Able to work productively in a matrix reporting and fast-paced environment

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

Did you know that about 10% of all insurance payouts are flowing directly into the pockets of fraudsters? The future of insurance starts with Decisions Made Better.

Shift Technology harnesses the power of AI to enable the world’s leading insurance organizations to make better decisions. Our products automate and optimize decisions from underwriting to claims, resulting in increased operational efficiency, reduced costs, and superior customer experiences for millions of people around the globe.

Our culture is built on innovation, trust, and a drive to transform the insurance industry by imagining and innovating solutions that impact insurers and their customers - like you! We come from more than 50 different countries and cultures and together we are creating the future of insurance.

Shift Technology offers a unique opportunity to brilliant candidates to accelerate their careers in data science

• Data scientists work on a broad range of subjects, acquiring a lot of technical and professional experience in data science, data engineering, coding, business understanding and client interactions; skills invaluable in any career.
• Our company is small enough that each person’s achievements have an impact on overall performance, yet big enough to be a world leader in our domain.
• We are a fast growing company, the best contributors will grow to managerial or product tech lead positions much more rapidly than in bigger companies

What you'll do...

The data science team is in charge of technically delivering the Shift products to clients, the key role in the success of our projects with clients. It is a hands-on job, expect to be doing everything you can imagine from the technical side in an AI company:

• Implementation of the data engineering, usually from client extracts to the insertion of the data in our data stores (SQL, ElasticSearch)
• Developing, testing, tuning models and putting them in production for tasks such as fraud detection and automation detection in complex environments.
• Automate key business tasks by implementing them in our production process framework in C#
• Conduct meetings with clients and interact with external stakeholders, whether it is direct user feedback, presenting business cases or defining the roadmap of evolutions for that client

You will actively participate in the definition and development of our suite of products on fraud detection, anti-money laundering and claim automation, working on various data types such as structured data, free text, documents and images.

What You Bring...

As a result of the range of the role, we are looking for people with diverse skills and proficiencies to help make our customers successful. We are open to people not having exactly all of the required skills, but in each one of those they must be willing to build expertise.

As a result, you are:

• A recent graduate, looking to start your data science career. Early career stage, 1-2 years relevant experience (including internships)
• Code-savvy, either by having a degree in computer science and/or having developed some apps with actual users, or by willing to spend a lot of time practicing. Writing scripts for models and notebooks is not enough at Shift, we thrive on people who can write maintainable, production-quality code that will run everyday without breaking.
• AI-savvy, either by having a degree in machine learning and/or statistics or be looking to work on those subjects. Having a clear understanding of statistics and machine learning problems, tasks and common resolutions is important to communicate internally and explain to the client how the product is working.
• Client facing. You will need to be comfortable, clear and professional when talking to clients during meetings and by email. Expect to talk with a client every other day and grow your communicational and presentational skills!
• Business smart. We don’t expect candidates to know the insurance sector, but we want people who can learn and master the business aspects of our products
• English speakers. We are an international company with offices in many countries and 50+ nationalities, the Shift working language is English.
• Fluent in a language spoken in South East Asia, of preference or Thai or Indonesian. Additionally Malay, Mandarin, or Cantonese.

Recruitment Process

• Talent Acquisition interview
• Coding exercise
• Technical interview
• Hiring Manager interview

#LI-JD1

To support our employees at every stage of their careers and lives, we provide a competitive total rewards and benefits package. Here are the global benefits we’d like to highlight:

• Flexible remote and hybrid working options
• Competitive Salary and a variable component tied to personal and company performance
• Company equity
• Focus Fridays, a half-day each month to focus on learning and personal growth
• Generous PTO and paid holidays
• Mental health benefits
• 2 MAD Days per year (Make A Difference Days for paid volunteering)

Shift Technology does not accept unsolicited CVs from recruiters or employment agencies in response to the Shift Technology Careers page or a Shift Technology social media post. Any unsolicited CVs, including those submitted directly to hiring managers, are deemed to be the property of Shift Technology

We are looking for aspiring Data Engineer/Software Developer to join our product development team, you will be responsible for the design and implementation of data integration pipeline and asynchronous data event using event driven architecture approach to consolidate data from various sources and systems.

About the Role

• Collaborating with a team of highly skilled Software Engineers and Data Engineers in deploying and delivering software products.Actively participating in product enhancement, particularly in the areas of integration and UI, to improve product quality and reconfigurability.
• Taking ownership of the development of key software components.
• Design, develop and maintain scalable data models and schemas using various data modelling best practices.
• Design and develop integration connectors to facilitate data integration from multiple sources and systems, including databases, APIs, log files, streaming platforms, IoT end devices and external data providers.
• Data Transformation and Processing: Develop data transformation routines to clean, normalize, and aggregate data. Apply data processing techniques to handle complex data structures, handle missing or inconsistent data, and prepare the data for analysis or reporting.
• Strong knowledge of data manipulation languages such as SQL necessary to build and maintain complex queries and data pipelines.
• Implement event-driven processing pipelines using frameworks like Solace Pubsub, Apache Kafka, MQTT, AMQP.
• Ensure compliance to data governance policies and standards to ensure data quality, integrity, security and consistency.
• Experience working in a dynamic environment with managing senior stakeholders from different organisations and agencies.

Requirements

• Bachelor's/Master's degree specializing in Computer Science / Engineering / Industrial Engineering or related field. Diploma holders with relevant experience are encouraged to apply.
• Proficiency in at least one object-oriented language; Java skills are highly desirable.
• Deep understanding in designing, implementing data lifecycle management.
• Deep understanding of Event driven architecture, data producers and consumers.
• Knowledge on data analytics pipeline, data lakehouse & warehouse concept. Curate data for exporting to data analytics tools for data processing pipeline to provide business analytics outcomes.
• Experience with relational and non-relational databasesFamiliar with Product Development and Design thinking approach
• Excellent communication, collaboration, and problem-solving skills
• Ability to work independently and as part of a team.
• 5 day week @ AMK area

Maestro HR

damien lee tian hong

R1106726

16C8462

• Support Master Data setup in TIS SAP implementation for Production related matters and support the Master data lead in GSAP project
• Assist all Master Data Management related activities for production in the GSAP project organization and towards the affiliates in scope of the GSAP implementation
• On a project basis, render support to a stream and will report into the Module Coordinator for the Stream, with a line to the MDM Global Lead
• Assist in execution and implementation of SAP master data set-up between TIS and it affiliates
• Coordinate with internal stakeholders such as operations and supply chain team to align the SAP master data
• Responsible in master data issues for immediate investigation and resolution

Requirements:

• 2 years of relevant working experience in Master Data Management
• Strong knowledge and understand the Company business requirements
• Understand the Company GLOBAL ERP processes and link to MD objects and fields
• Strong analytical and interpersonal skills
• Prior experience in ERP / SAP skills will be added value
• A team player with good interpersonal skills

Key Responsibilities:

• Create and maintain dashboards and reports to communicate findings to stakeholders.
• Ensure the accuracy and integrity of data by implementing data quality checks and validation processes.
• Collaborate with IT and operations teams to streamline data collection and storage processes.
• Conduct market analysis to support strategic decision-making and identify new opportunities.
• Monitor industry trends and competitor performance to inform business strategies.
• Assist in developing data-driven recommendations for improving operational efficiency.
• Document analytical processes and methodologies for future reference.
• Present findings and insights to management and other stakeholders in a clear and actionable manner.

Requirements:

• Candidates without experience are welcome to apply.
• Bachelor’s degree or Diploma in Computer Science, Data Science, Information Technology, or a related field (or equivalent experience).
• Good hand-on knowledge of computer systems, networks, and software applications.
• Strong analytical and problem-solving skills
• Proficiency in data analysis tools (e.g., Excel, SQL, Python) and visualization software (e.g.,Tableau, Power BI).

Warehouse’s Data Entry - Singaporean

Salary: 1800-2200 SGD/month

Job Type: Full Time Job

Period: Immediate Start

main responsibilities:

• Communication with customers for stock arrangement
• Response to customer’s email
• Key in receive orders / issue out going orders / issue delivery orders and stock control.
• Daily process stock sheet to customer
• Arrange / coordinate closely with customer within house warehouse .
• Ensure that all jobs are monitored / timely updated in system / Billing .
• double check goods accuracy with warehouse before release goods to customer
• Any other ad hoc duties assigned.

• Qualification: Secondary School / O or N Level / NITEC
• 0-1 years of experience working warehousing or logistics companies will be preferred.
• Proficiency in MS office
• Effective verbal communication and interpersonal skills
• Ability to learn fast and pays attention to details.

Responsibilities

• Assist in the data entry and migration of corporate registry information into the new software system.
• Input and update accounting and corporate details accurately.
• Collaborate with the CoSec manager and team members to ensure a smooth transition to the new system.
• Provide administrative support as needed to facilitate the project’s success.

Requirements:

• No experience required as on-the-job training will be provided
• Able to work in a fast-paced environment
• Able to work as a team
• Familiar with MS Office (MS Word, Excel)
• Independent & strong in multi-tasking
• Good working attitude
• Can start work immediately

To assist with data entry tasks and general administration.

Job Responsibilities:

• Accurately enter and update data working with spreadsheets and student admin system
• Verify and cross-check the information to ensure accuracy
• Organize and maintain data files
• Assist with other clerical duties as needed
• Any other duties as assigned by the supervisor

Knowledge and Skills:

• Competent in MS Office and Google applications, and basic internet navigation skills (preferably strong in MS Excel Skills)
• Proficiency in either English or Chinese, or both

Personal Attributes:

• Responsible, reliable and able to follow instructions
• Meticulous with a keen eye for detail to ensure work accuracy
• Good time management and organizational skills

Availability: Must be available up to 31 Dec 2024

If you're looking to gain experience and improve your skills, apply today by sending your resume to [email protected]

• Good Bonus - AWS + up to 6 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply
• Entry level / Junior / Senior / No experience welcome apply X 3 Opening
• Full training provided

Responsibilities:

§ Project execution and implementation activities for energy monitoring systems projects.

§ Co-ordinate site staff and plan site activities for ongoing and maintenance projects.

§ Record and maintain proper project documentation record

Requirements:

§ Diploma/Degree in Electrical/ Electronics/ Computer Engineering / Computer Science from a recognised Polytechnic/University

§ Preferably with experience in Energy Monitoring System

§ Our benefits and compensation for permanent position are as follows:

§

§ Salary for experience candidates will be considered based on the years of experience and our internal salary structure

§

§ 1 month AWS

§ Variable Bonus ranging from 1 to 6 months depending on individual and company performance

§ Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

§ Working days: Monday to Friday (1 day work from home per week)

§ Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

§ 18 days up to 21 days for executive (Engineer and above)

§ Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

§ Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

§ Term Life

§ Personal Accident

§ Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

§ Flex Dollars of $500 per financial year

§ Free annual year-end Health Check-Up

§ Monthly Birthday Party Celebration

§ Monthly Sports Activities

§ New Born Gift

§ CSR Initiatives

§ Department Bonding Activities

§ Biennial team building and staff appreciation dinner

§ Gym Corner for employees to exercise

§

§ Good Pay + Good allowance + Good Bonus

§ Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

§ Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )

Job Responsibilities

• File and organize documents
• Order office supplies
• Help with basic data entry and paperwork

Requirement:

• Min Diploma in any course

All qualified applicants, please click “ APPLY NOW”

Kimmy Low Yi Ting (Kim) | CEI Registration Number: R23112122

Recruit Express Pte Ltd Company Reg. No. 199601303W | EA LICENCE Number: 99C4599

The successful incumbent who will be part of a global data management team, will be supporting the employee life cycle events globally by leveraging system knowledge to create documentations accurately and to maintain organization data in Workday (HRIS system). In addition, the incumbent will work closely with Regional Data Management team globally.

Requirements

• Degree with min 1 year OR diploma with 5 years experience in HR operations or its equivalent
• Entry level degree holders with internship experience in HR Ops welcome to apply too
• Strong communication skills

5 days work week/Central location

This is a 1 year contract with completion bonus

Interested candidates may forward your resume to [email protected]

• Good Bonus - AWS + up to 6 month Variable Bonus / Permanent Role

Engineer / Electrical engineer / Project Engineer / Junior & Senior & Engineering can apply

• Entry level / Junior / Senior / No experience welcome apply X 3 Opening

• Full training provided

Responsibilities:

· Planning, coordination, and execution of substation automation projects.

· Design, costing and integration of substation automation systems according to project requirements.

· Installation, testing and troubleshooting of substation automation systems at site.

· Preparation of project documents and drawings.

Requirements:

· Diploma in Electrical Engineering/Computer Engineering

· Knowledge of data communication and Automation Systems for Electrical Network

Our benefits and compensation for permanent position are as follows:

Salary for experience candidates will be considered based on the years of experience and our internal salary structure

1 month AWS

Variable Bonus ranging from 1 to 6 months depending on individual and company performance

Working hours: 8.00 am to 5.00 pm / 8.30 to 5.30 pm / 9.00 am to 6.00 pm / 9.30 am to 6.30pm / 10.00am to 7.00pm

Working days: Monday to Friday (1 day work from home per week)

Annual Leave: 14 days up to 17 days for non-executive (Assistant Engineer and below)

18 days up to 21 days for executive (Engineer and above)

Medical benefits of $500 per financial year (Benefit is extended to spouse and children (below 21 years old) of married employees)

Insurance coverage: Hospital & Surgical (Benefit is extended to spouse and children (below 25 years old) of married male employees and child (below 25 years old) of married female employees)

Term Life

Personal Accident

Maternity Insurance for female employee and spouse of male employee on the birth of their 1st 2 children claimable up to delivery bill of $6,000.00 whichever is lower.

Flex Dollars of $500 per financial year

Free annual year-end Health Check-Up

Monthly Birthday Party Celebration

Monthly Sports Activities

New Born Gift

CSR Initiatives

Department Bonding Activities

Biennial team building and staff appreciation dinner

Gym Corner for employees to exercise

Good Pay + Good allowance + Good Bonus

Interested candidates please send an updated Resume / CV in Ms Word format to [email protected] or WhatsApp’s your resume to 98332779 ( no Calls)

Consultant in-charge : Quah Li Lian (Lilian) ( Registration No: R1983286 )