Total 3,990 data entry clerk job vacancies in Information Technology category in Singapore

Reporting and Analytics Developer/Data Engineer

Job Summary

We are seeking a highly skilled and experienced Big Data Engineer to join our team. The ideal candidate must have a minimum of 4 years of experience managing data engineering jobs in big data environment e.g., Cloudera Data Platform. Overall experience can be 5 to 10 years.. The successful candidate will be responsible for designing, developing, and maintaining the data ingestion and processing jobs as per business requirements. Candidate will also be integrating data sets to provide seamless data access to users.

Key Responsibilities

• Analyze the Authority’s data needs and document the requirements.

• Refine data collection/consumption by migrating data collection to more efficient channels.

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.

• Develop test plan and scripts for system testing, support user acceptance testing.

• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.

• Ensure the smooth operations and service level of IT solutions.

• Support production issues - Track record in implementing systems with high availability, high performance, high security

What we are looking for

• Good understanding and completion of projects using waterfall/Agile methodology.

• Good understanding of analytics and data warehouse implementations.

• Ability to troubleshoot complex issues ranging from system resource to application stack traces.

• Strong SQL, data modelling and data analysis skills are a must.

• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.

• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.

• Passion for automation, standardization, and best practices

• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.

THIS IS A 2-YEARS RENEWABLE / CONVERTIBLE CONTRACT ROLE.

Responsibilities:

• Manage IT infrastructure platform projects and assist with the deployment process.
• To administer and configure infrastructure system and application (Active Directory Services, telephony, server storage, backup etc), network devices (Firewall, routers, VPN, internet proxy, wireless, etc), desktops, laptops, mobile devices, printers and POS. NAS), Compute Platform (Server system hardware) and Infrastructure services systems (MFT, Enterprise batch job management, Monitoring tools, patch management tools, inventory)
• Monitor system performance, troubleshoot and resolve issues related to the IT infrastructure.
• To ensure systems are backup automatically, disaster recovery plans and patches are carried out successfully and monitor the systems resources usage closely.
• Regularly maintain up-to-date documentations for infrastructure activities & user guides.
• Render technical support when required after office hours and weekend support if required during in-house events.
• Ensure regulatory and legal compliance in infrastructure operations and maintenance activities.
• To manage in-house POS system and related hardware
• Should be well versed in Firewall and Network concepts with Cybersecurity background is a must.
• Good knowledge on SSL off-loading concepts.
• Commitment to complete tasks on time and team work.
• Articulate in excellent written and verbal communication skills.
• Perform other duties assigned by management
• Able to quickly learn and adapt in any technology.

Requirements:

• Degree in IT / Computer Science
• Minimum 3 years of experience in IT System Infrastructure implementation / maintenance
• Product knowledge of Microsoft Windows, Active Directory, VMware & Fortinet
• Good technical skills in configuration and troubleshooting PC, network issues including back bone infrastructure issues, server hardware knowledge and Cybersecurity skills.
• Hands-on experience with Windows environment and experience in configuring servers, switches, Microsoft 365 technical support and Telephony systems support.
• Pen test certified will be an added advantage.

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This team is responsible for developing, implementing, and tracking AI/ML models for driving enterprise digital personalization in prospect marketing and automating data capability and model governance.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

The role will entail some of the below listed responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solution

Minimum qualifications and skills required across role types are highlighted below:

• Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Minimum 3 year of experience in marketing modeling
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Ability to learn quickly and work independently with sophisticated, unstructured initiative
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

Responsibilities

- Monitor for and respond to events generated from clients data protection technology suite that involve loss of consumer data, employee data, business sensitive data, and/or intellectual property

- Accurately identify and escalate DLP events based on sensitivity of data types

- Understand and follow established data protection incident response playbooks

- Identify opportunities to improve existing monitoring and response processes

- Support the development and testing of newly created DLP policies and detection logic

- Collect and analyze DLP event metrics to identify trends and define/maintain KPIs and metric reporting.

Requirements

• Degree or Diploma in Computer Science, Information Technology, Information Security, Computer Engineering or equivalent

• Demonstrate a good level of understanding of cyber security operations

• An ability to manage and execute requirements such as the implementation, integration and upgrade of security solutions

• Gained at least 1-Security Certifications (i.e CISSP, CISM, Certified DLP professional and etc) would be an advantage

• Ability to provide solutions and recommendations on projects

• Strong technical knowledge and hands-on experience with leading DLP platforms such as Symantec DLP, McAfee DLP, Forcepoint DLP, Proofpoint DLP.

• Experience in deploying DLP policies, rules, and alerts within network and endpoint platforms to safeguard sensitive data.

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Job Description

· Strong understanding of Data Governance concepts; must have experience in implementing DG Framework and best practices.

§ Assess current data management processes and provide solutions around the enhancement of data governance maturity

§ Accountable for driving continuous improvement in data governance culture/technology and expansion of data governance initiative within the team.

§ Must have experience in creating data governance policies on different areas of DG

§ Drive the awareness and establishment of data related improvement initiatives across the team.

§ Ability to manage senior management relationships across all the business and functional areas.

§ Consensus building capability, with a strong ability to influence the Business and IT teams on the DG best practices, and the way forward

§ Knowledge of data related regulatory requirements and emerging trends and issues that impact enterprise data governance.

§ Must appreciate the people, process as well as technology aspect of Data Governance and must be aware of various components (or sub-practices) within Data Governance, e.g. Data Governance culture, Data Quality, Data Privacy, Metadata Management.

§ Must have strong written and oral communication skills

Extensive experience around all aspects of Data Governance including but not limited to, building DG Roles.

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.

Team Introduction

The mission of the Data Platform Singapore Business Partnering (DPSG BP) team is to empower the TikTok Business with data. Our goal is to build a Data Warehouse that can cater to batch and streaming data, Data Products that provide useful information to build efficient data metrics & dashboards which will be used to make smarter business decisions to support business growth. If you're looking for a challenging ground to push your limits, this is the team for you!

- Translate business requirements & end to end designs into technical implementations and responsible for building batch and real-time data warehouse

- Manage data modeling design, writing, and optimizing ETL jobs

- Collaborate with the business team to building data metrics based on data warehouse

- Responsible for building and maintaining data products

- Involvement in rollouts, upgrades, implementation, and release of data system changes as required for streamlining of internal practices

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.

- Visualise, interpret, and report data findings and may create dynamic data reports as well.

Qualifications

Minimum Requirements

- Proficient in creating and maintaining complex ETL pipeline end-to-end while maintaining high reliability and security

Preferred Requirements

- Minimum 3 years in data engineering experience

- Experience with data warehouse concept and have production experience in modeling design

- Experience with NoSQL database is preferred (e.g. HBase)

- Experience with 1 distributed computing engine (e.g. Hive, Spark, Flink)

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities:

• Handle user account requests, ensuring accuracy and compliance with established protocols
• Maintain a methodical record of user account details and updates in designated database
• Respond to user inquiries regarding account requests in a timely and professional manner
• Collaborate with other team members to streamline account request processes
• Generate regular reports on account status, user activity, and other relevant metrics
• Provide administrative support and any other ad-hoc duties, if assigned

Qualifications and experience:

• Fresh ITE/Polytechnic graduates are welcome to apply
• Proficient in using office software for data entry, communication and report generation

Location: Buona Vista

Salary: TBA

Contract Period: 9 months

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve. Join us.

Team Introduction

The mission of the Data Platform Singapore Business Partnering (DPSG BP) team is to empower the TikTok Business with data. Our goal is to build a Data Warehouse that can cater to batch and streaming data, Data Products that provide useful information to build efficient data metrics & dashboards which will be used to make smarter business decisions to support business growth. If you're looking for a challenging ground to push your limits, this is the team for you!

- Translate business requirements & end to end designs into technical implementations and responsible for building batch and real-time data warehouse

- Manage data modeling design, writing, and optimizing ETL jobs - Collaborate with the business team to building data metrics based on data warehouse

- Responsible for building and maintaining data products - Involvement in rollouts, upgrades, implementation, and release of data system changes as required for streamlining of internal practices

- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.

- Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.

- Visualise, interpret, and report data findings and may create dynamic data reports as well.

Qualifications

- Proficient in creating and maintaining complex ETL pipeline end-to-end while maintaining high reliability and security

- Minimum 1 year in data engineering experience

- Experience with data warehouse concept and have production experience in modeling design

- Experience with NoSQL database is preferred (e.g. HBase)

- Experience with 1 distributed computing engine (e.g. Hive, Spark, Flink)

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Job Summary

We are seeking a highly skilled and experienced Big Data Engineer to join our team. The ideal candidate must have a minimum of 4 years of experience managing data engineering jobs in big data environment e.g., Cloudera Data Platform. The successful candidate will be responsible for designing, developing, and maintaining the data ingestion and processing jobs as per business requirements. Candidate will also be integrating data sets to provide seamless data access to users.

Key Responsibilities

• Analyze the Authority’s data needs and document the requirements.

• Refine data collection/consumption by migrating data collection to more efficient channels.

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.

• Develop test plan and scripts for system testing, support user acceptance testing.

• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution.

• Ensure the smooth operations and service level of IT solutions.

• Support production issues - Track record in implementing systems with high availability, high performance, high security.

What we are looking for

• Good understanding and completion of projects using waterfall/Agile methodology.

• Good understanding of analytics and data warehouse implementations.

• Ability to troubleshoot complex issues ranging from system resource to application stack traces.

• Strong SQL, data modelling and data analysis skills are a must.

• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.

• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.

• Passion for automation, standardization, and best practices

• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.

This is a contract position of 9 months.

We are looking for a candidate very strong on Data Governance

Strong understanding of Data Governance concepts; must have experience in implementing Data Governance Framework and best practices
 Assess current data management processes and provide solutions around the enhancement of data governance maturity
 Accountable for driving continuous improvement in data governance culture/technology and expansion of data governance initiative within the team
 Must have experience in creating data governance policies on different areas of Data Governance
 Drive the awareness and establishment of data related improvement initiatives across the team
 Ability to manage senior management relationships across all the business and functional areas.
 Consensus building capability, with a strong ability to influence the Business and IT teams on the Data Governance best practices, and the way forward
 Knowledge of data related regulatory requirements and emerging trends and issues that impact enterprise data governance.
 Must appreciate the people, process as well as technology aspect of Data Governance and must be aware of various components (or sub-practices) within Data Governance, e.g. Data Governance culture, Data Quality, Data Privacy, Metadata Management.
 Must have strong written and oral communication skills
 Extensive experience around all aspects of Data Governance including but not limited to, building Data Governance Roles & Responsibilities, Data-Quality framework, Metadata management, Data modelling, data naming standards etc.
 Good to have experience on Data Governance tools and affinity with Data Lake (Synapse, Databricks etc.)

(Hiring for new branch at BUKIT BATOK area)

IF YOU ARE looking for...

• Career advancement with work-life balance;
• Substantial flexibility in workplace;
• Creative performance bonus;

Responsibilities:

• Serve as one of a key contact for machine installation and services;
• Assist on technical training to customers;
• Excellent communicate skills to interact with suppliers and customers;
• Solid technical knowledge to provide professional solution on customers’ inquiries;
• Other Ad-hoc duties as required by the superior;

Requirements:

• Obtain min. Diploma in Engineering (any fields) or equivalent;
• Someone without relevant working experiences also welcomes to apply as on-job training will be provided;
• Pro-active, possess technical and problem-solving skills with attention to details;

How to apply,

Please submit your application together with your comprehensive resume, not limited to the education background, career history (if any), current and expected salary(if any), and availabilities to commence work by ‘Apply’ the link.

(We regret to inform you that only shortlisted candidates will be notified)

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

Join Team Amex and let's lead the way together.

Functional Description

Decision Science colleagues will serve as a key member of the Credit and Fraud Risk organization. We seek a thought-leader and a problem-solver who can blend business, technical, and industry best practices when it comes to developing the analyses, models, and algorithms that power our customers’ digital experiences.

This team is responsible for developing, implementing, and tracking AI/ML models for driving enterprise digital personalization in prospect marketing and automating data capability and model governance.

Our Decision Science teams use industry leading modeling and AI practices to predict customer behavior. We develop, deploy and validate predictive models and support the use of models in economic logic to enable profitable decisions across credit, fraud, marketing and servicing optimization engines.

The role will entail some of the below listed responsibilities:

• Work with massive amounts of digital data (Web, App, API) and sophisticated tools in an industry leading Big Data environment.
• Build everything from basic reports to advanced machine learning models and algos to drive improvements to our customer’s online and mobile app experiences.
• Work with product owners to revolutionize the product and content design with a data-driven approach
• Collaborate with tech partners to test, implement and deploy modeling solutions to production system.
• Develop insights into customer behavior and introduce new approaches to transform complex behavioral data into actionable information
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant
• Innovate with a focus on developing newer and better approaches using big data & machine learning solution

Minimum qualifications and skills required across role types are highlighted below:

• Masters/PhDs in a quantitative field (Computer Science, Statistics, Mathematics, Physics, Operation Research etc.) with hands-on experience leveraging sophisticated analytical and machine learning techniques.
• Expertise in an analytical language (Python, R or the equivalent), and experience with databases (Hive, SQL, or the equivalent). Knowledge of SAS is a plus but not required.
• Deep understanding of machine learning/statistical algorithms such as deep learning and boosting. Experience with data visualization is a plus
• Minimum 1 year of experience in marketing modeling
• Demonstrated ability to frame business problems into mathematical programming problems, leverage external thinking and tools (from academia and/or other industries) to engineer a solution and deliver business insights
• Ability to work effectively in a team environment
• Independent thinker who’s organized, has great attention to detail, and can multi-task
• Strong communication skills
• Ability to learn quickly and work independently with sophisticated, unstructured initiative
• Ability to integrate with cross-functional business partners worldwide
• Proficient in presentation tools, including Excel and PowerPoint

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

• Competitive base salaries
• Bonus incentives
• Support for financial-well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
• Generous paid parental leave policies (depending on your location)
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
• Free and confidential counseling support through our Healthy Minds program
• Career development and training opportunities

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

• Head of DA in SEA
• Fast growing company

About Our Client

My client is hiring a Data Analytics Manager and will be covering SG and SEA area.

Job Description

-Track and analyze market projects, with a requirement for familiarity with data analysis projects and report writing.

-Provide data support for operational summaries and decision-making, assist in internally explaining and training work based on data.
-Responsible for market research and analysis, studying industry developments, and regularly conducting market forecasting and intelligence analysis through data analysis.
-Improve user stickiness and engagement through data operations and analysis in the Southeast Asian market, collaborating with the marketing department for promotional activities.

The Successful Applicant

-Familiar with the Southeast Asian market in the food and beverage, and tea beverage industry, including marketing channels, regulations, and strategies, such as platforms like TikTok, Xiaohongshu (Red Book), etc.

-Proficent in data analytics tools, Python, Tableau, Power BI etc.

What's on Offer

Team lead

Competitive salary

Contact

Michael Yuan (Lic No: R22110773/ EA no: 18S9099)

Quote job ref

JN-012024-6306442

Phone number

+65 6541 9917

Michael Page International Pte Ltd | Registration No. 199804751N

Key Responsibilities

• Analyze the data needs and document the requirements.

• Refine data collection/consumption by migrating data collection to more efficient channels.

• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs.

• Develop test plan and scripts for system testing, support user acceptance testing.

• Work with the technical teams to ensure smooth deployment and adoption of new solution.

• Ensure the smooth operations and service level of IT solutions.

• Support production issues - Track record in implementing systems with high availability, high performance, high security.

What we are looking for

Good understanding and completion of projects using waterfall/Agile methodology.

• Good understanding of analytics and data warehouse implementations.

• Ability to troubleshoot complex issues ranging from system resource to application stack traces.

• Strong SQL, data modelling and data analysis skills are a must.

• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica.

• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred.

• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred.

• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required.

• Passion for automation, standardization, and best practices

• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders

We are seeking a highly skilled and experienced Big Data Engineer to join our team. The ideal candidate must have a minimum of 4 years of experience managing data engineering jobs in big data environment e.g. Cloudera Data Platform. Overall experience can be 5 to 10 years.

The successful candidate will be responsible for designing, developing, and maintaining the data ingestion and processing jobs as per business requirements. Candidate will also be integrating data sets to provide seamless data access to users.

Responsibilities:

• Refine data collection/consumption by migrating data collection to more efficient channels
• Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs
• Develop test plan and scripts for system testing, support user acceptance testing
• Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution
• Ensure the smooth operations and service level of IT solutions
• Support production issues - Track record in implementing systems with high availability, high performance, high security

Requirements:

• Good understanding and completion of projects using waterfall/Agile methodology.
• Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred
• Good understanding of analytics and data warehouse implementations
• Ability to troubleshoot complex issues ranging from system resource to application stack traces
• Strong SQL, data modelling and data analysis skills are a must
• Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica
• Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred
• Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required
• Passion for automation, standardization, and best practice
• Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders

Job Description:

• Responsible for deep learning models and GenAI algorithm exploration, such as building and enhancing the different components of the AI/GenAI application. This includes and not limited to prompt engineering, augmenting, or fine-tuning of Large Language Models (LLMs) and knowledge retrieval capabilities.
• Responsible for designing experiments to test and evaluate across existing and emerging AI models and present recommendations and draw actionable conclusions.
• Responsible for conceptualizing and backend development of AI applications, including designing, building and managing the server-side logic of the API endpoints using preferred frameworks i.e., Flask or FastAPI to ensure seamless integration and effective deployment of AI solutions.
• Understand DevOps approaches and concepts and contribute to the best practices for continuous improvement of code quality.
• Backend development of web/mobile based prototypes, such as minimal viable products (MVPs), to demonstrate capabilities to end users.

Job Requirements:

• Bachelor or Masters in computer science or data science field such as Computer Science, Data Science, AI, Mathematics, Statistics, Information Technology, or related discipline.
• Minimum of 2 years’ experience in Machine Learning, Data Science and/or AI relate technologies.
• Strong programming abilities in relevant languages (python) and GenAI frameworks (Llama Index, Langchain).
• Strong background working with Linux/UNIX environments.
• Good knowledge in productionizing Python Flask/FastAPI applications using multi-process frameworks like Gunicorn to deploy performant web services.
• Experience in developing enterprise-level web applications and RESTful APIs using MicroServices, with demonstrable production-scale experience is a plus.

Please click "Apply Now" should you be interested to proceed with the job application.

Morgan McKinley Pte Ltd

EA Licence No: 11C5502

Registration No: R22109486

EAP Name: YU CIET XIA

Responsibilities:

• Perform inbound and outbound delivery tasks for Installation or RAM of inventories.
• Server and Network Equipment unpacking, installation, basic troubleshooting (Network MUX, Switches Routers, Servers & Storage, PDUs, NICs, etc.)
• Network and Servers installation & maintenance (rack & stack, cabling, parts replacement, etc.)
• Inventory of network, server equipment, fiber optic, data cables (copper and fiber) - Asset Management and Data Collection. Capture critical device information such as asset tag, serial numbers, MAC addresses and related information.
• Plan to ensure proper cable management and power redundancy practices are in use
• Self-perform basic server troubleshooting such as power and link light verification
• Interface with customers, clients, and technical staff as needed
• Physically assist in moving and racking equipment as directed
• Maintain a clean and safe work environment
• Execute installations in accordance to rack layout elevation diagrams and patching records
• Ensure given tasks are completed in a timely manner through independent planning,prioritization and time management
• Any other task given by Project Manager/Project Engineer

Requirements

• Experience within a data center environment and basic tasks such as rack & stack, patching, hardware install, 2 post vs 4 post racks, U-counts etc.
• Familiar with network cabling such as types of fiber and copper. (SMF, MMF, MPO, MTP, CAT6A,)
• Familiar with basic server hardware and components (CPU, memory, storage, NICs, etc.)
• Basic understanding of datacenter air flow, heat management, and power redundancy practices
• Able to use basic hand tools. Drills and screwdriver
• Able to use server lift would be advantageous
• Regularly lift equipment weighing up to 20kg or more.
• Detail oriented and organized
• Excellent documentation skill

iKas International (Asia) Pte Ltd

“Sanderson-iKas” is the brand name for iKas International (Asia) Pte Ltd

EA Licence No: 16S8086 | EA Registration No. R1988468

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

Role:Sr Data Governance Consultant

JD:

• Strong understanding of Data Governance concepts; must have experience in implementing DG Framework and best practices
• Assess current data management processes and provide solutions around the enhancement of data governance maturity
• Accountable for driving continuous improvement in data governance culture/technology and expansion of data governance initiative within the team
• Must have experience in creating data governance policies on different areas of DG
• Drive the awareness and establishment of data related improvement initiatives across the team
• Ability to manage senior management relationships across all the business and functional areas.
• Consensus building capability, with a strong ability to influence the Business and IT teams on the DG best practices, and the way forward
• Knowledge of data related regulatory requirements and emerging trends and issues that impact enterprise data governance.
• Must appreciate the people, process as well as technology aspect of Data Governance and must be aware of various components (or sub-practices) within Data Governance, e.g. Data Governance culture, Data Quality,Data Privacy, Metadata Management.
• Must have strong written and oral communication skills
• Extensive experience around all aspects of Data Governance including but not limited to, building DG Roles & Responsibilities, Data-Quality framework, Metadata management, Data modelling, data naming standards etc.
• Good to have experience on DG tools and affinity with Data Lake (Synapse, Databricks etc.)

What a Director Data Science, Visa Consulting & Analytics does at Visa:

The Data Science Director will be a member of VCA Data Science team in Asia Pacific and will report to the Head of Data Science overseeing the IPVMC cluster. The position will be based in Visa’s Singapore office.

The individual will be accountable for leading the design, development and implementation of analytics-driven strategies as well as high-impact solutions for Visa clients. He/she will bring in deep expertise from banking/payments domain with a strong background in data science to solve complex problems and unlock business value.

Key responsibilities include:

• Collaborate with business leaders, internal stakeholders and client teams to understand business needs and identify the strategic areas where data science can drive strong business impact, in alignment with the organization's goals and priorities.

• Develop holistic data science strategies for driving innovations, accelerate new solution launches, create data offerings in alignment with business strategy

• Provide leadership and guidance to the data scientists and play a critical role in ensuring project success for IPVMC engagements

• Establish best practices for data science project governance, solution development and operationalization

• Continuously explore and evaluate emerging technologies, tools, and frameworks to ensure that our organization and team remains at the forefront of machine learning and AI.

• Develop and manage project budgets, ensuring effective utilization of resources and alignment with financial targets.

• Establish clear success measures for data science projects and drive continual improvement

• Promote thought leadership in the data science domain and build intellectual property through innovation

• Effectively interact with clients and manage internal/external stakeholder communication

• If required on a per-project basis, work onsite for a short duration

Why this is important to Visa

As payments consulting arm of Visa, VCA is growing a team of highly specialized experts who can provide best-in-class payment expertise and data-driven strategies to clients. We’re building a high-performing team of data scientists, data analysts and statisticians helping major organizations adapt and evolve to meet the changes taking place in technology, finance, and commerce, with cutting-edge, creative and advanced analytic solutions. The purpose of the team is to help Visa’s clients grow their business and solve problems by providing consulting services through the use of data. 

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Bioinformatics Specialists: Machine Learning and Genome Data Analytics (Genome Institute of Singapore

We are looking for smart, motivated machine learning and data analytics researchers who can contribute to the development of new methods for understanding and diagnosing cancer. The candidate should have strong mathematical intuition and programming skills, and be comfortable working in a highly collaborative multidisciplinary environment that includes biologists, pathologists and medical oncologists. This will be a unique opportunity to learn cutting edge data analytics and computational biology techniques in the rapidly growing field of spatial omics.

Requirements

1. Bachelor’s or Master’s degree in Bioinformatics, Computational Biology, Data Science, or a related field

2. High proficiency in scripting language (Perl, Python and statistical languages such as R, particularly in the use of packages such as Bioconducter or Biopython)

3. Additional programming skills in Java or C++ will be useful and candidate should be experienced working in Unix environments with computing clusters/servers

4. A strong background and course work in statistics, computer science and data science is preferable

To apply, please email your CV and names of references to [email protected], [email protected]

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.