To apply for this position, please copy and paste this link onto another browser: https://www.careers.hrp.gov.sg/sap/bc/ui5_ui5/sap/ZGERCFA004/index.html#/JobDescription/14180615/e929e687-e501-1eee-aa91-0556c84c00b4

Candidates who apply through Careers@Gov will be considered as a priority.

Thank you for your interest!

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Join the Singapore Civil Defence Force (SCDF) - The Life-Saving Force

We are a team of elite emergency response professionals from the Fire and Rescue Service (FRS) and the Emergency Medical Service (EMS), that are dedicated to saving lives and protecting property. Join us to become part of a family that strives to safeguard and make a difference in the lives of our citizens, in both peacetime and emergency.

Lifesaving. It's Life Changing!

What the Role Is

Be the source of courage, command, and control. As a SCDF Fire and Rescue Senior Officer, you will be professionally trained to be in control of challenging rescue incidents, and battling fire, chemical, biological, and radiological threats with innovative and cutting-edge technology. You will be involved in policy development and implementation to keep Singapore a safe and emergency ready nation.

We believe in grooming our officers as leaders. Through our talent management programme, you will embark on diverse foundational postings before specializing in their unique career pathways. Mentorships, varied job exposure, and opportunities to participate in overseas missions and international learning exchanges will help to nurture your strengths and prime you for real-life challenges.

What we are looking for

To qualify for direct entry as a Lieutenant, you must meet the following requirements:-

• A Degree in any discipline
• Strong leadership and interpersonal skills
• Male applicants must be PES A or B
• Minimum 'Pass' for IPPT

Sign On Bonus

As a successful applicant, you will receive a $15,000 sign-on bonus (subject to eligibility) upon emplacement.

Invest Retirement Package

Upon resignation from service, officers may withdraw 13.25% of their gross monthly salary from Year 5 of service, based on the applicable vesting scale, provided they have been on the INVEST Plan for at least 10 years. Any remaining unvested balance of moneys in the account will be forfeited and the account will be closed thereafter.

Strategic Payment Scheme

New officers can look forward to three months (Captain and below) cash payouts and 2.5 months (Major and above) quantum upon reaching their 3, 6, 9, 12, 15, 20, and 25 years in service.

Other Benefits

Officers are entitled to MHA Uniformed Singlife insurance coverage, subsidised medical and dental treatment, and opportunities for further education specialisation. Other benefits include yearly $700 learning and development subsidies, leave entitlements and subsidised medical and dental treatment.

For more information, please visit the following links

SCDF Corporate Website (Career Pathway and Renumeration) - https://www.scdf.gov.sg
SCDF Career Microsite (Interactive Experience on Career Journey) - scdfcareers.sg

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.

-Answering customer questions, providing information, taking and processing orders and addressing complaints

-Compiling, maintaining and updating company records

-Managing office inventory and working with vendors to ensure the regular supply of office materials

-Training, onboarding and supervising junior clerks.s transactionss and managing the correspondence between the office and external bodies

-Compiling and maintaining records of office business transactions

-Training, onboarding and supervising junior clerks.

-Perform general office duties, including filing, data entry, and managing correspondence.

-Assist in the preparation of financial documents such as invoices, purchase orders, and expense reports.

-Maintain and update records of financial transactions, ensuring accuracy and compliance with company policies.

-Support the accounting department with tasks such as processing payments, reconciling accounts, and managing petty cash.

-Prepare reports, presentations, and other documents as needed.

-Handle other administrative and accounting-related tasks as assigned.

-Handle other administrative and accounting-related tasks as assigned.

The person needs to answer calls and reply msg to enquiries from Vendors & Owners and send leads to relevant departments for them to follow up.

• Possess a degree in Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 3 years of relevant experience in data management, data analytics, data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiarity with data virtualization tool such as Denodo is advantageous.
• Able to design and implement solution and perform code review.

Experience with the Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrumand Kanban.

Internal Code: AXI25001

*Internship period: At least 5 months, from January 2025

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 create evidence-based, personalised 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.

What will you do?

• Assist data scientists in performing public healthcare research and development in line with the organization's vision within the digital health and wellness domain
• Perform on-site or off-site data collection, data organization, storage and processing
• Develop data-driven solutions and insights based on data mining, statistical modelling and machine learning methods
• Perform algorithm testing and validation
• Documentation of research, experiments and modelling findings/results
• Opportunity to be the co-author of our research publications

What are we looking for?

• Year 3 or final year in Data Science, Computer Science, Computer Engineering or related discipline
• Passionate about data science and good working knowledge of Python, SQL and R
• Good understanding or experience in signal processing and machine learning is required
• Keen interest in digital healthcare, wellness and fitness domain
• A 'go with the flow' and positive attitude, adaptable to change and energetic
• Passionate about learning and working with new technologies
• A natural tenacity, resilience and determination

Singtel Networks, the most established telecommunications infrastructure provider in Singapore is transforming to enable the digital generation of tomorrow. We are introducing new capabilities in 5G, Cloud, Analytics, Digital Commerce, Software Engineering, Cyber Security to enhance our core competencies and deliver innovative and differentiated Mobile and Fixed services (Broadband, TV and Telephony) for our customers. We are committed to celebrating inclusion and diversity and is a strong believer to upskill and nurture all individuals. Come join us today as we build Singtel’s Networks of tomorrow, and Empower Every Generation to live, work and play in new ways!

Make an Impact by:

• Study and analyse the utilization and distribution of fibre access network in Singapore. Drive the implementation of top up.
• Establish a monthly dashboard/ report for effective infra utilization monitoring.
• Explore new fibre technology and improve material design.
• Design, plan and implement the required underground pipeline and fibre cable networks for special projects
• Participate in request for proposal (RFP) or tender as when required.
• To manage contractors to ensure timely completion of work and timely submission of claims.
• Planning and maintaining world class Singtel’s Fibre Network. It provides the opportunity and exposure to practice both network planning and project management skills.
• Requires to liaise, coordinate and negotiate within and outside the organization to project manage the various project to deliver on time.

Skills for Success:

• Diploma in Electronics Engineering/Telecommunications or in relevant field.
• Preferably with 5 year working experience and holding Class 3 driving license.
• Able to work during non-office hours to support network incidents and restoration.
• Good working knowledge of PC applications such as MS Word, Excel, PowerPoint.
• Good communication skills, keen to learn and a team player.

Your Career Growth Starts Here. Apply Now!

We are committed to a safe and healthy environment for our employees & customers and will require all prospective employees to be fully vaccinated.

Xaltius is a technology and data-driven company with the expertise to provide innovative software solutions and training to customers around the globe. We work to revamp and refine business potential, driving business excellence. As a maturing, tech-based company at heart, we are driven by the ever-changing dynamics of digitalization to provide personalized software solutions elevating business capabilities. Alongside our counterparts, we offer retail and corporate training in the fields of data analytics, data science, big data, and cloud technologies and have been actively doing that in Singapore since inception.

We are a diverse and value-driven team of knowledgeable and talented individuals, focusing entirely on achieving outstanding customer satisfaction. Being a young and fast-moving team, open-mindedness and flexibility define us. We strongly believe in educating and inspiring interested adult learners through our training sessions and are looking for enthusiastic and futuristic clients to collaborate with on IT projects.

This is a one year contract role with the need for the following:

Skills Requirement :

Areas of expertise are as follow (one or more):

• Advanced Python
• Data Analytics & Machine Learning with Python
• Microsoft PowerBI
• Statistics for Data Science
• Microsoft Excel (Data Cleaning, Functions, PivotTables, Pivotcharts)
• SQL and Database Design
• Tableau
• Deep Learning
• Big Data
• Data Bricks

Job Requirements:

• Preferably 2 years relevant working/ teaching experience in data analytics and in training professionals
• Masters specializing in Data Science is a plus
• ACLP/ACTA certified is a plus
• Excellent interpersonal and written communication skills
• Willingness and proactive to assist in troubleshooting and solving issues
• Passion towards learning new skills and knowledge, and imparting knowledge to others.

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

Job Title: Document Scanning and Data Entry Assistant

Working Hours/Days: Monday - Friday, 9:00 AM - 6:00 PM

Job Type: 6 - 12 Months Renewable Contract

Job Description:

• Scanning of documents
• Ensure accuracy and timely completion of scanning tasks
• Data entry and general administrative duties as required

Requirements:

• Minimum N-Level qualification
• Proficient in Microsoft Office Suite
• Willingness to travel and work at both Tampines and Raffles Place locations, depending on business needs
• Flexible with work location assignments
• Willing to work overtime (as frequently as 3-4 days per week)

Job Title: Document Scanning and Data Entry Assistant

Working Hours/Days: Monday - Friday, 8:30 AM - 6:00 PM

Job Type: 6 - 12 Months Renewable Contract

Job Description:

• Scanning of documents
• Ensure accuracy and timely completion of scanning tasks
• Data entry and general administrative duties as required

Requirements:

• Minimum N-Level qualification
• Proficient in Microsoft Office Suite
• Willingness to travel and work at both Tampines and Raffles Place locations, depending on business needs
• Flexible with work location assignments
• Willing to work overtime (as frequently as 3-4 days per week)

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking to hire Data Scientist (GenAI/ML). This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Job Scope

• Develop and implement generative AI solution specifically tailored for manufacturing, focusing on improving efficiency, quality, and productivity.
• Create and manage AI/ML algorithm pipelines using Azure ML and other relevant cloud-native services.
• Refine pre-trained language models to address specific manufacturing problems, such as sales forecasting, predictive maintenance, quality control, or supply chain optimization.
• Build intuitive web applications to enable manufacturing teams to interact with and benefit from AI-powered tools.
• Work closely with cross-functional teams to understand their challenges, gather requirements, and deliver practical AI solutions.
• Continuously learn about the latest advancements in AI, ML, and NLP to apply to the company new AI projects.

Required

• Bachelor’s degree in Computer Science, Data Science, or a related technical field, with a strong emphasis on AI/ML and cloud technologies.
• 1 to 2+ years of relevant experience in machine learning, data science, software development, or a related role, with a proven track record in Generative AI project development.
• Proficient in NLP techniques, including prompt engineering, RAG, and advanced language models; deep understanding of machine learning algorithms
• Demonstrated experience in ETL processes for data ingestion, transformation, and loading to support AI model development.
• Proficiency in Python (Visual Studio Code, Jupyter Notebook) and machine learning frameworks (e.g., TensorFlow, PyTorch)
• Strong understanding of cloud platforms (Azure ML preferred)
• Expertise in React.js or similar front-end frameworks (Preferred)
• Strong team player with proven ability to collaborate effectively on projects.
• Demonstrated rapid learning ability and adaptability to new technologies.

WHAT’S ON OFFER:

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to [email protected]. Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS:

Consultant Name : Nishant Pawar

Avensys Consulting Pte Ltd

EA Licence 12C5759

Privacy Statement: Data collected will be used for recruitment purposes only. Personal data provided will be used strictly in accordance with the relevant data protection law and Avensys' privacy policy.

Responsibilities:

• To handle infrastructure set-up, Cloud engineering and deployment of AI/machine learning models in the MLOps platform.
• Review technical solutions for the deployment of AI models, along with the data pipelines and visualization interfaces.
• Utilize DevOps tools and automate model deployment / tuning via orchestration.
• Provide guidance for maintenance, support and enhancements to model deployment platforms.
• Hands-on experience to:

1. Analyze, design and develop test for model deployment and automation.
2. Design and implement API interfaces.
3. Set up Continuous Integration / Continuous Deployment pipeline.
4. Work with Data Scientists on understanding and enhancing data models for deployment.
5. Liaise with Data Engineers on the requirements for each data sources, understand the ETL required.
6. Work with DBA to manage the DB servers.
7. Work with Cloud infra engineers for on-boarding to AWS and MS Azure.

Requirement:

• At least 5 years’ experience in developing, implementing and maintaining IT systems.
• Degree and equivalent training (e.g. specialist diploma, professional certificate) in Business Analytics, Computer Science / Computer Engineering, Computer Engineering, Information Systems, Mathematics, Statistics, Engineering or related disciplines that possesses an analytical component.
• Practical experience of software engineering or software development experience in making AI/ML models production ready.
• Understanding of programming language such as Python, R and SQL.
• Foundational knowledge of Cloud computing and infrastructure setup.
• Foundational knowledge of data pipeline, data engineering and data pre-processing.
• Foundational knowledge of data visualization tools such as Tableau, QlikSense, Power BI.
• Agile and Scrum experience is preferred.

As Technical Delivery Manager (TDM) for Data Governance initiatives, you will be responsible for overseeing and ensuring the successful implementations. The role involves coordinating with cross-functional teams, understanding business requirements, and ensuring the alignment of technical solutions with data governance objectives.

Key responsibilities for this role are:

Project Leadership: Lead planning, execution, and delivery of Business Glossary, Metadata management and Data lineage solution, ensuring alignment with organizational goals and objectives.

Requirements Analysis: Collaborate with business stakeholders to gather and analyse requirements, translating them into actionable project plans.

Tool Selection and Implementation: Oversee selection and implementation of metadata management tool, ensuring it meet the organization's needs and integrate effectively with existing systems. Conduct POCs involving new data technologies. Prioritize implementation scope for incremental coverage; Independently install, customise and integrate software packages and programs. Maintain and recommend software improvements to ensure a platform centric management of software applications.

Lifecycle Management: Manage full lifecycle of metadata management and data lineage initiatives, from conception and design to implementation, maintenance, and optimization of end to end data lineage extraction; provide remediation for broken data lineage across multiple technologies, products and platforms. Review & deliver documents such as solution design, program specifications for target solutions

Cross-Functional Collaboration: Work closely with cross-functional teams, including data stewards, IT professionals, and business analysts, infrastructure & information security teams, to ensure a cohesive and integrated approach to metadata management and data lineage; Create frameworks, technical features which helps in establishing end to end data lineage for Critical Data Elements

Quality Assurance: Implement quality assurance processes to ensure the accuracy, consistency, performance & SLA monitoring and completeness of metadata and data lineage information in SIT, UAT and production environment

Vendor Management: Coordinate with vendors providing metadata management solutions, overseeing their contributions to the successful implementation of the projects.

Project Management & Risk Management: Plan, execute, and deliver metadata management and data lineage projects within scope, on time, and within budget. Identify and mitigate risks associated with metadata management and data lineage projects, ensuring compliance with industry standards and regulations.

Training and Documentation: Provide inputs for training programs and ensure documentation to enhance understanding and adoption of metadata management and data lineage best practices within the organization.

Performance Monitoring: Establish key performance indicators (KPIs) to monitor the performance of metadata management and data lineage initiatives, making adjustments as needed to meet objectives.

Stakeholder Communication: Maintain transparent and effective communication with stakeholders, providing regular updates on project progress, challenges, and resolutions. Convey technical concepts to non-technical stakeholders in simple ways.

Continuous Improvement: Drive continuous improvement initiatives, staying abreast of industry trends and emerging technologies to enhance Business Glossary, Metadata management and Data lineage capabilities within the organization.

Technical Skills

8+ years of experience in implementing data governance solutions with a strong background in deploying such solutions, encompassing both on-premise and cloud-based models.

Metadata Management Tools: Proficiency in using metadata management tools such as Informatica IDMC, IBM Watson Knowledge Catalog or equivalent tools (Collibra, Alation, Solidatus)

Data Lineage Tools: Experience with data lineage tools like Informatica IDMC, IBM Manta or similar solutions to establish and visualize end-to-end data flows. Identify and build both business and technical lineage, including strategies for fixing lineage breaks

Database Technologies: In-depth knowledge of various database technologies, including but not limited to Hadoop, Teradata, SAS, Oracle, Postgres, and Cassandra DB.

ETL/ELT Tools: Expertise in ETL/ELT tools like Informatica PowerCenter, SSIS, and other data integration platforms to understand and document transformation logic.

Scripting and Programming: Proficient in scripting languages (e.g., Bteq scripts, Spart ETL) and programming languages to support metadata extraction and manipulation.

On-Premise Container Solutions: Expertise with Red Hat Open Container Platform; showcasing proficiency in overcoming complexities related to deploying, managing, and optimizing applications in this environment. Integrate various components seamlessly and ensure a cohesive and efficient operation within the OpenShift cluster

Visualization Tools: Experience with data visualization tools such as Qlik, Microsoft Power BI, Tableau to create intuitive representations of metadata and data lineage.

Knowledge in Data modelling, working with calculations, leveraging the Set Analysis Experience in Implementing RBAC policies for various user groups such as Data Owners, stewards, consumers/stakeholders etc within the metadata management tool

· Implementation of out-of-the-box as well as custom workflows, user personas, custom reports / dashboards within the metadata management tool

Functional Skills

Business Glossary Management: Strong understanding of business glossary concepts and the ability to work with business stakeholders to define and manage business terms and their relationships.

Should have worked in large scale data warehouse & on-premise Power BI, Qlik based visualisation

Other Critical Skills

Strong analytical and problem-solving skills to address challenges related to metadata quality, data lineage accuracy, and overall data governance effectiveness

Fast Learner, enjoy analytical and data modelling work and proactive in providing solutions

Good interpersonal and communication skills with attention to details

Be forward looking and agile to adapt to changing bank’s needs and dynamic working environment

Identify ideas to improve system performance and impact availability

Embrace tackling and resolving complex technical design issues

Possess strong problem solving and decision-making skills while exercising good judgment

Ability to work on multiple projects at a time.

The key duties and responsibilities of the role include (but are not limited to):

• To prepare and compile data for report submission
• Referring to database and data entry
• Conducting data quality control

Requirements

• SINGAPOREANS ONLY
• Willingness to keep a working ledger of all tasks done
• Familiar with using MS Word/Excel
• No criminal history (will have to obtain security clearance)

The Role

As a Master Data Management and Governance Leader, you will be responsible for overseeing the management and governance of critical data assets within the organization. You will play a pivotal role in ensuring data integrity, accuracy, and compliance with regulatory standards. This position requires a strong understanding of data management principles, attention to detail, and the ability to collaborate across various departments to drive data governance initiatives forward.

Responsibilities we will trust you with:

• Lead the Master Data Organisation in designing, implementing and maintaining a comprehensive data governance framework that aligns with organizational objectives and regulatory requirements.
• Define Data Standards and Policies: Work with across the organization to establish data standards, policies, and procedures to ensure consistency, accuracy, and integrity across all data assets.
• Data Quality Management: Define data quality metrics and develop implementation strategies to improve data quality throughout its lifecycle.
• Master Data Management (MDM): Lead the master data management team, including the creation, maintenance, and enrichment of master data records.
• Collaborate with Stakeholders: Work closely with cross-functional teams, including IT, finance, operations, and compliance, to understand data requirements, address issues, and promote data governance best practices.
• Data Stewardship: Define and Assign roles and responsibilities for data stewardship and establish processes for data stewardship activities, such as data cleansing, validation, and reconciliation.
• Compliance and Risk Management: Ensure compliance with data privacy regulations (e.g., GDPR, CCPA) and industry standards. Identify and mitigate risks associated with data governance processes.
• Training and Awareness: Create learning programs and Conduct training sessions and awareness programs to educate employees on data governance principles, policies, and procedures.
• Continuous Improvement: Continuously evaluate and refine data governance processes to adapt to evolving business needs and technological advancements.

Your areas of knowledge and expertise that matter most for this role:

• Bachelor's degree in Computer Science, Information Systems, or a related field.
• Proven experience (1-5 years) in data governance, master data management, or related fields.
• Strong understanding of data management principles, data governance frameworks, and regulatory requirements (e.g., DAMA-DMBOK).
• Proficiency in data analysis tools and techniques. Experience with data governance software/platforms is preferred.
• Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.
• Strong analytical and problem-solving abilities, with keen attention to detail.
• Ability to work collaboratively in a cross-functional team environment.

What you can expect from us:

• Work on world-class security projects renowned for their safety, reliability, and efficiency.
• Commitment to your ongoing development, including on-the-job opportunities, formal programs, and assistance with further education.
• Community volunteering opportunities.
• A competitive remuneration package featuring performance-based incentives, medical insurance, and a dental allowance.

Job description

· General accounting work on a day to day basis.

· Involve in Month-end, quarter-end and year-end Financial closing.

· Assist auditors with all the financial records needed for filing.

· Handle payrolls

· Payments follow up with clients

· Any other ad-hoc tasks assigned

Required Candidate profile

· Minimum 2+ years of relevant work experience

· Ability to meet deadlines.

· Ability to work independently and as a part of a team

· Proficient in Excel and MYOB.

• Able to multitask and hardworking.

• Experience in the construction industry required.

In this role, you can expect to:

● Support the business’s goal of democratisation of data and data products.

● Drive audience and behavioural analytics, as well as key business metrics with associated dashboard and reporting.

● Collaborate in partnership with diverse teams across organization such as product engineering, data science and business stakeholder teams to successfully deliver business outcomes.

● Work with a mix of cloud infrastructure and open-source technologies to build, scale, and maintain data workloads.

● Work with media industry data practitioners in domains across sales, marketing and advertising, engineering, corporate and organization publications to deliver innovative and game changing data products and use cases.

● Work to design, build and implement data workloads across both high and low volume and velocity of data to support business use cases.

● Implement cloud-based scalable and reliable data pipelines at significant scale.

● Implement reliable and redundant data workloads to provide accurate, easy-to-use and timely data to deliver positive business outcomes.

You should be able to:

● Build and maintain streaming and batch data pipelines.

● Build and maintain transactional and analytical data schemas for data lake, data warehouse and data marts.

● Implement Data Analytics and Business Intelligence frameworks to support Enterprise Data needs.

● Adhere to Data Governance policies and implementation from collection to storage and activation of a broad range of data products.

● Utilise data-related languages and frameworks such as Python, Spark, SQL, Hudi, Iceberg.

● Propose Solutions for Data Pipelines, Data Schema and/or Business Intelligence Dashboards and Reports.

● Adhere and have practised Agile Methodology such as Scrum.

● Implement adhering to Master Data Management Best Practices and Principles.

● Understand and Design Data Models following BI Best Practices such as Dimensional Modelling.

It would be great if you had:

● At least 5 years of relevant hands-on experience in cloud-based data engineering, business analyst, or solution architect roles.

● Experience in data-related infrastructure deployments using Terraform Cloud.

● Experience in using Git for version and release management with knowledge in branching strategies.

● Experience in AWS Data and Analytics services such as EMR, Glue, Lambda, Step Functions, Athena, Kinesis, or QuickSight.

● Implementation Experience in Business Intelligence Platforms and Tools such as Tableau, QuickSight.

● Experience in utilising query engines such as Presto on Data Lakes, Data Warehouses and Data Marts.

● Good communication skills for Data and Analytics concepts and methodologies and how they are relevant to your stakeholders.

✔ Good Career Starter !!!

✔ Our Client is one of the Leading Data Management Company

✔ 6 Months Contract (Renewable)

Responsibilities:

• Entering and maintaining data in the database system of the business.
• Checking the accuracy of the data entered and making any required adjustments.
• Keeping electronic documents and data organised.
• Assisting with initiatives involving data organisation and cleansing.
• Observing the policies and procedures of the company regarding data entry and confidentiality.
• Ensuring accurate and timely task completion by means of excellent team communication.

Requirements:

• At least GCE ‘N’ Level qualification is needed.
• Proven experience with data entry and basic computer skills.
• Proficiency in typing and data entry with mínimal errors.
• Strong attention to detail and accuracy.
• Ability to work independently and prioritize tasks effectively.
• Excellent communication skills.
• Experience with Microsoft Office suite (Excel, Word, Outlook) is preferred.

How to Apply:

Please prepare your updted resume (Include your current salary and expected salary) and email to [email protected]or Whatsapp +65 8512 8044

We regret only shortlisted candidates will be notified.

EA License No: 05C3451
EA Personnel Reg No: R2198644
Ellen Lee Wei Xin

Job Type: Contract

Location: Singapore

Salary Range: 5,000~8,000 SGD/Month

Requirements:

· With Exp of 8-9 Yrs + to designs and creates data systems, databases, and structures to organize and store data effectively

· Must be having good Business understanding of data model designing (Conceptual Data Model, Logical Data Model, Physical Data Model) of new aged digital implementations based on Microservices and Be Spoke Application

· Must be versed with agile implementation of Data modelling

· Must have working exp in implementation IT Project as Data Architect

· Must be able to collaborate with IT teams, analyse business needs, and ensure data solutions align with Project phase goals.

· Responsibilities include data modelling, defining database architecture, optimizing data retrieval, and ensuring data security.

· Strong knowledge of AWS Postgres database technologies, data warehousing, Data security and data governance is essential for this role.

· Good to have working exp as Data Architect in SG Gov Sector in IT Project.

· Please note that candidates have to do 1 assessment before the interview

Benefit:

• 5 days Work
• Basic Salary : $2000 - $2600
• Paya Lebar Airbase

Job Scope:

• Perform servicing, maintenance, and troubleshooting on equipment and system the at site
• Ensure the equipment is functionality
• Involve of Installation work for machine
• Partner with other technicians and engineer to perform daily operation
• Respond and attend to fault calls from client
• Ensure Timely check the equipment to ensure they are in workable condition
• Planning and undertaking scheduled maintenance

Requirement

• Possess at least Higher Nitec or higher education level
• Entry level welcome to apply, training will be provided

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Khor Wan Ying (R22109948)

Benefit:

• 5 days Work
• Basic Salary : $2000 - $2600
• Paya Lebar Airbase

Job Scope:

• Perform servicing, maintenance, and troubleshooting on equipment and system the at site
• Ensure the equipment is functionality
• Involve of Installation work for machine
• Partner with other technicians and engineer to perform daily operation
• Respond and attend to fault calls from client
• Ensure Timely check the equipment to ensure they are in workable condition
• Planning and undertaking scheduled maintenance

Requirement

• Possess at least Higher Nitec or higher education level
• Entry level welcome to apply, training will be provided

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Khor Wan Ying (R22109948)

Benefit:

• 5 days Work
• Basic Salary : $2000 - $2600
• Paya Lebar Airbase

Job Scope:

• Perform servicing, maintenance, and troubleshooting on equipment and system the at site
• Ensure the equipment is functionality
• Involve of Installation work for machine
• Partner with other technicians and engineer to perform daily operation
• Respond and attend to fault calls from client
• Ensure Timely check the equipment to ensure they are in workable condition
• Planning and undertaking scheduled maintenance

Requirement

• Possess at least Higher Nitec or higher education level
• Entry level welcome to apply, training will be provided

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Khor Wan Ying (R22109948)

Job Description & Requirements:

• Work location near to Macpherson MRT area.
• Flexible working hour.
• Min 3 hours at least 2 to 3 times a week
• To perform housekeeping of the office such as vacuum, mopping the floor, cleaning the table, glass office and etc.
• To keep the pantry in a clean and neat order.
• Any other cleaning duties as assigned.

Call Ms Alice at 88686566 to arrange for interview.

Requirements:

• Experienced in cleaning or housekeeping services

• Only Singaporeans need apply

1. Work with stakeholders to design 40+ visualizations using latest tableau features.

2. Identif 20+ data sources to support requirements and build data extracts to build solutions.

3. work on complex LODS, sets and visualizations like Sankey chart, funnel chart to accommodate all requirements.

4. Creation of views/data marts as per business logics to develop the data source for dashboards

5. Load the data into AWS S3 for the cloud storage to achieve Data Lake from multiple data sources and process the data to AWS Redshift for Data warehouse using Talend.

6. Report refresh scheduling using Tableau server, TABCMD script and REST API script getting triggered via Control-M.

7. Calculation optimization and performance improvement.

8. Regular sprint demos/discussions with stakeholders.