Total 199 data entry job vacancies in d15 katong joo chiat amber road

Data analyst with finance background ( financial markets ) , dashboarding , Gen AI

Must have : Skills: python, machine learning, SQL, Tableau, Power BI, Generative AI (GenAI), NLP, Computer Vision, hypothesis testing, communication, visualization, financial markets, transformer, deep-learning.

Responsibilities

1. Drive analytic projects for all pillars of the bank’s treasury and markets department, such as bond analytics, news generation FX trading signals, product recommendation and customer hyper-personalization.

2. Create appropriate data visualisations, utilising PowerBI, Tableau and other appropriate tools like Python for effective storytelling.

3. Utilize advanced statistical and machine learning methods to derive insights and predictions from large volumes of transactional, operational and customer data.

4. Translate complex findings into intuitive visualizations and recommendations for front office traders and senior management.

5. Write and refactor code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems/ pipelines and perform sub-system integration as required.

6. Participate in Generative AI (GenAI) and Document AI (DocAI) initiatives for news recommendation, customer pitch generation and market data collation.

7. Perform hypothesis testing and experimentation to discover causal drivers for customer and market behaviours.

Required Experience

1. Bachelor/ masters in a quantitative discipline, such as Mathematics/Statistics, Business Analytics, Computer Science, Engineering, or equivalent experience.

2. Working knowledge in data visualization tools such as PowerBI, Tableau or equivalent

3. Expert working knowledge and hands-on experience using Python and SQL.

4. Demonstrable understanding and application of varied AI/ML concepts and models, their mathematical underpinnings, and trade-offs

5. Practical experience using quantitative and statistical techniques to solve business problems such as hypothesis testing, regression, causal and correlation analysis, etc.

6. Excellent verbal and written communication skills to explain insights from technical work to non-technical audience through presentation or other means.

7. Experience working with unstructured data (text, images, audio) and application of NLP/ Computer Vision techniques and deep-learning and transformer models.

Job Description & Requirements

We are looking for 3 pax part timers for the month of Ramadhan.

Job Function

• Data entry
• Basic filing

Requirement

• Familiar with MS Office applications
• Able to commit for 3 months

Work Schedule

Monday to Friday - 9am to 6pm

$10/hr

Location

PERTAPIS Head Office - Blk 1 Joo Chiat Rd, #04-1001, Singapore 420001

**Candidate should be able to start immediately.

**Only shortlisted candidates will be notified.

Responsibilities:

1. Drive analytic projects for all pillars of the bank’s treasury and markets department, such as bond analytics, news generation FX trading signals, product recommendation and customer hyper-personalization.

2. Conduct literature review and evaluate trade-offs between different quantitative algorithms and AI/ML models.

3. Utilize advanced statistical and machine learning methods to derive insights and generate predictions from large volumes of transactional, operational and customer data.

4. Implement and train AI/ ML models and optimize algorithm efficiency (GPU distributed computing, concurrent programming)

5. Write and refactor code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems/ pipelines and perform sub-system integration as required.

6. Integrate solutions into enterprise MLOps ecosystem and automate CI/CD pipelines for model lifecycle maintenance and monitoring.

Required Experience;

1. Bachelor/ masters in a quantitative discipline, such as Mathematics/Statistics, Business Analytics, Computer Science, Engineering, or equivalent experience.

2. Good understanding of the data science production life cycle with demonstrable experience working with structured, semi-structured and unstructured data.

3. Excellent software skills (Python, SQL variants) and knowledge in design patterns, code optimization, object-oriented programming.

4. Demonstrable understanding and application of varied AI/ML concepts and models, their mathematical underpinnings, and trade-offs

5. Practical experience using quantitative and statistical techniques to solve business problems such as hypothesis testing, regression, causal and correlation analysis, etc.

6. Excellent verbal and written communication skills to explain insights from technical work to non-technical audience through presentation or other means.

Good to Have (At least 2 or more)

1. Familiar with Linux OS, Openshift, Kubernetes for container-based deployment.

2. Experience with language models, RAG concepts, opensource generative AI (GenAI) frameworks and prompt engineering principles.

3. Experience using open-source computer vision and Document AI models and concepts (Table recognition, handwriting recognition, key information extraction, signature detection, image understanding)

4. Solid understanding of deep-learning model architectures and experience building custom architectures.

5. Experience building data models, writing complex queries and using business intelligence/ visualization tools (Tableau)

6. Understanding of the MLOps ecosystem and experience building systems to maintain the complete model lifecycle.

7. Expert knowledge in time series analysis, statistical signal processing and related modelling techniques.

8. Deep understanding of pricing, modelling, booking, and risk across diverse products and markets.

As a Data Analyst (Risk), you will be involved in supporting the risk operations by conducting data analysis of risk cases to discover risk trends and behavior patterns from big data sets, thereafter being involved in designing long-term solutions to fight fraud. The insights you provide will be optimizing risk strategies to create business value and enable trust for our clients.

• Analysis of rich user and transaction data to uncover device, user, transaction, etc. trends that help alert SHIELD's risk systems and contribute to fraud prevention mechanisms
• Optimize fraud detection by rapidly identifying emerging fraud trends through data-driven analysis and developing strategic fraud rules to address them
• Perform data/statistical analysis to keep processes at the forefront of fraud detection by identifying areas of potential fraud risk and/or potential opportunities to improve current fraud mechanisms
• Develop and communicate insights and recommended actions to stakeholders to manage risk by contributing toward machine learning models, and risk management principles to help clients trust their users by staying ahead of new and unknown fraud
• Build and maintain dashboards for all stakeholders to provide visibility of key metrics, fraud patterns, and detection efficiency

• 3-5 years of experience as a hands-on analyst in a high-tech company
• Minimum Bachelor Degree in Computer Science, Data Sciences, Statistics, Math, or other related fields
• Strong experience in handling large-scale unstructured data
• Experience in SQL or other data handling tools, as well as the ability to learn more advanced data
• Business intelligence experience using tools such as Tableau, Qlik Sense, and Excel
• Working experience with any of the data analysis tools such as R, Python, SPSS, SAS, etc.
• Experience with the application of experimentation and statistical techniques (i.e. hypothesis testing, probability distributions, regression, decision trees, etc.)
• Ability to take initiative in a fast-moving and dynamic environment, and take timely actions to prevent risk of fraud

Responsibilities

• Manage the maintenance and daily operations of the DC facilities with the objective of achieving uninterrupted availability at all times and to ensure the fulfillment of our service commitment to customers.
• Support service delivery to ensure contracted service level agreements and key performance indicators are met or exceeded.
• Perform routine facilities activities including inventory control. Critical systems checks and functional testing. Able to respond and take action in response to facilities crisis management activities including: power outages, fire alarms, HVAC outages. Analyze data and identify trends with facility issues to determine root cause and take appropriate action.
• Respond to BMS/EMS alerts, investigate and feedback on any outstanding issues or events and respond to emergency situations and be on standby duty as required.
• Provide technical support to all aspects of data center operations including the operation, maintenance and repair of all mission critical equipment and systems supporting a 24x7 data center operation to achieve 100% uptime and 100% compliance with all customer SLAs.
• Assist in all site construction activities and installations, in coordination with external contractors to ensure system design, installation and testing adhere to operational standards. Witness testing of all equipment during commissioning and validate sequence of operations and receipt of all operational documentation.
• Support for customer installations, in coordination with the design & construction as well as operations requirements to coordinate customer move-in and turn-on, and other service request & deliveries.
• Maintain compliance with local workplace safety & health (WHS) standards and local electrical and building codes.
• Ensure adherence to all standard operating procedures (SOP), method of procedures (MOP), and emergency response procedures (ERP) established for the critical environments, as well as the formal change control process.
• Participate in the scheduling, coordination and completion all significant planned and emergency maintenance events for the facility and ensure these activities are executed in a controlled and proven method to ensure the reliability of the critical loads supported by these systems.
• Support various accreditation, certification and compliance initiatives such as BCA-IDA Green Mark DC/QMS/ISMS/BCMS/PCIDSS/OSPAR, etc as may be required.

Qualifications

• Preferably with minimum 3 year experience in Data Center Facilities Management & Operations environment and service delivery.
• ITE/Diploma in Electrical or Mechanical engineering or equivalent qualification
• 24x7 rotating shift duty
• Able to comprehend, analyse and interpret complex project documents, including AutoCAD, Visio and PDF documents
• General technical and functional knowledge of data center infrastructure to include electrical and mechanical systems, fire detection and protection systems, building management systems, equipment maintenance, space planning, construction of critical facilities environment

Job Description

· •Hand-on Development experience with PySpark, Scala Spark and Distributed computing.

· •Development and implementation experience of applications for 4-6 years.

· •4 to 6 years' experience designing and developing in Python.

· •4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming.

· Knowledge of micro-services architecture and cloud will be added advantage.

· Knowledge of Java and Scala will be added advantage

Job Description

· •Hand-on Development experience with PySpark, Scala Spark and Distributed computing.

· •Development and implementation experience of applications for 4-6 years.

· •4 to 6 years' experience designing and developing in Python.

· •4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)

· 3 to 5 years' experience with Unix shell scripting

· 3 to 5 years' experience with SQL

· 2 to 3 years' experience with Spark programming.

· Knowledge of micro-services architecture and cloud will be added advantage.

· Knowledge of Java and Scala will be added advantage

Job Description

1. Work with large and complex financial datasets to develop end-to-end data science solutions for pricing various financial products, dynamic campaign optimization, and customer personalization.
2. Conduct research and literature review to assess and evaluate trade-offs between different quantitative algorithms and models.
3. Implement and train AI/ML models and optimize algorithm efficiency (GPU distributed computing,concurrent programming)
4. Refactor and document code into reusable libraries/ APIs/ tools, deploy machine learning ecosystems, and perform sub-system integration as required.
5. Integrate solutions into enterprise MLOps ecosystem and automate CI/CD pipelines for model lifecycle maintenance and monitoring.

Requirements:

1. Good understanding of the data science production life cycle with demonstrable experience working with structured, semi-structured and unstructured data.
2. Excellent software skills (Python, SQL variants) and knowledge in design patterns, code optimization, object-oriented programming.
3. Experience applying quantitative and machine learning algorithms for pricing and marketing.
4. Demonstrable expertise in some of the following domains - econometrics, statistical modelling, time-series analysis, signal processing, reinforcement learning,estimating causal relationships/ counterfactual effects, dynamic pricing.
5. Solid understanding of foreign exchange markets, including knowledge of currency pairs, market dynamics, and key drivers.
6. Hands-on experience in designing and executing digital campaigns and experimentation (A/B, Multivariate, Bandits, Sequential, quasi-experiments), evaluation methodologies (DiD variants), and conducting experiments to optimize campaign performance.

At Jacobs, we push the limits of what’s possible to make the world smarter, more connected and more sustainable. In our built environment work, that means designing spaces that foster innovation, cultivate collaboration and drive the next great discovery for humanity.

Bring your creativity, collaborative spirit and extreme attention to detail, and we’ll help you grow, pursue and fulfill what drives you – so we can deliver extraordinary solutions for a better tomorrow, together.

We would like to welcome a Senior/Lead Design Engineer to be part of our Data Center Business, based in our Singapore office. Main duties:

• Manage all technical aspects of designs for assigned projects, and implement, where appropriate, the latest (or as governed by contract) International and National Standards, Codes of Practice, software and requirements of ‘good engineering practice' for all work performed.
• Responsible for the execution of assigned work; meeting the Company's contractual obligations and the Client's needs and expectations, on time, and within budget.
• Ensure direct, effective, and timely communications of project requirements, routine reporting and sharing important information to Management, Heads of Department, the Project Manager, and all supervised staff, conducting routine and working meetings as appropriate. Follow up to ensure a clear understanding.
• Develop Project Execution Plan (PEP) using input from all discipline lead engineers. Revision, modification, and issuance of procedures related to the projects based on contracts.
• Adhere to the Company Quality Management System, HSE requirements, policies and procedures.
• Ensure adherence to Scope of Work and Design Basis Memorandum; identify variations in a timely manner, whether initiated by the Client or internally.
• Participate in meetings with the Project Manager, Client and third parties, to communicate specifications, construction scope of work, calculations, data sheets, material requisitions, etc.
• Participate in quality audits in cooperation with the QA/ QC Representative.
• Provide input, cost, technical considerations and capabilities in tender or contract to project manager or manager of projects.
• Perform the squad check of documents and drawings of other disciplines, reviewing all the interfaces to be coordinated, as required per contract and project requirements.
• Involvement during Tender Management & preparation of Bids, when needed.

To be a successful candidate, you shall possess a minimum Degree in Engineering, with a minimum of 5-6 years of relevant experience in Data Center projects. Singapore's local project experience is crucial.

Jacobs. A world where you can.

From our inclusive employee networks, to our positive mental health champions – we’re committed to driving a culture of caring where you can be you. Joining Jacobs not only connects you locally but globally - and together, our diverse perspectives and unique backgrounds power our collective strength. We collaborate and share! By supporting one another, we all succeed.

With safety and flexibility always top of mind, we’ve gone beyond traditional ways of working so you have the support, means and space to maximise your potential. You’ll uncover flexible working arrangements, benefits and opportunities to do good too – from participating in our global giving and volunteering program, to exploring new and inventive ways to help our clients make the world a better place. No matter what drives you, you’ll discover how you can cultivate, nurture and achieve your goals – all at a single global company.

Please note: If you are being represented by a recruitment agency you will not be considered, to be considered you will need to apply directly to Jacobs.Jacobs complies with the Tripartite Guidelines on Fair Employment Practices (TGFEP), including the prevailing guidelines on recruitment. All qualified applicants will be considered for the position regardless of age, race, religion, language, nationality, marital status, or family responsibilities.

#ASIAID

Job Description

Extract Transform Load –

1.Collaborate with clients and biz stakeholders to understand data integration requirements & objectives

2. Analyse source and target data systems to determine data mappings, transformations & integration strategies

3 Design and develop ETL processes using Oracle Data Integrator ODI to ensure smooth data integration between systems.

4 Identify and implement performance tuning techniques to enhance data integration processes and minimize processing time.

Technical Experience:

1 Proven experience in Oracle Data Integrator ODI development and data integration projects

2 Strong proficiency in SQL and PL/SQL for data manipulation and data validation

3 Familiarity with data modelling concepts and techniques

4 Experience with data warehousing, ETL processes, and data integration patterns

5 Understanding of data governance, data quality, and data security principles

Good to have

1. Telco OSS/BSS domain knowledge

2. Oracle OSM and UIM knowledge

3. PostgreSQL procedures knowledge

Job Responsibilities:

• Perform in-depth analyses on large datasets to gain a deeper understanding of beneficiaries
• Work with cross-functional teams to build and maintain dashboards to monitor and gain business insights. Guide users on creating and using reports and visualizations to communicate findings to stakeholders
• Prepare data for regular and ad-hoc reporting based on organization needs
• Contribute to the improvement of business operations through automation
• Improve data collection & analysis processes to achieve efficiency and productivity
• Foster data literacy across the product organization and establish standards for data-informed decision-making
• Liaise with external agencies like the Ministry of Education and Ministry of Social and Family Development on data relating to our beneficiaries
• Support and jointly participate in in-house research using data and also external research projects where necessary
• Support Board meetings and preparations of materials for reporting to Board and Exco

Job Requirements:

• Relevant degree in business analytics, data analytics, computer science or other similar field
• At least 3 years of relevant experience
• Excellent quantitative analysis, use of spreadsheets and modeling tools
• Strong communication and presentation skills to interface with stakeholders
• Salesforce & business objects expert with extensive reporting and dashboard skills and experience in Power BI would be an added advantage
• Good team player and collaborative
• Must be self-motivated with a strong focus on delivery
• Familiar with Personal Data Protection Act

The L1 System Engineer is responsible for: • To provide 24 x 7 support for Data Center running on 12 hours shift • Assisting the Customer in the verification, isolation and/or provision of a temporary work around for the incident/problem logged. • Resolving the incident/problem onsite. • Escalating unsolvable problems and service requests to the System and/or Software Engineer and reporting the escalation to the Project Manager. • Generating the relevant administrative records and reports. • Introducing and integrating new technologies into existing environments. • Applying operating system updates, patches, and configuration changes. • Adding, removing, or updating user account information, resetting passwords, etc. • Answering technical queries • Maintaining the configuration of the system. • To implement Service Request and Change Request • Contacting OEM/Vendor for technical support

•Preferably with Microsoft Certification and/or ITIL certification.
• Good Knowledge of following products will be advantageous:
-Linux
-Unix
-Active Directory/DNS
-Microsoft Azure Stack
-Microsoft Windows 2008-2016
-Commvault Backup and Recovery
-Symantec Endpoint Protection
• ITIL certification will be an advantage.

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

We regret that only shortlisted candidates will be notified.

Job Description

· At least 2 years of hands-on experience in data management or data analytics within investment and banking industry.

· Experience in SQL and Python.

· Confident and comfortable engaging with various business end users and stakeholders at all levels.

· Meticulous, with a keen eye for details, especially with numbers

· Experience with data validation and correction tasks.

· Able to multi-task across various activity streams

Job Description

· At least 2 years of hands-on experience in data management or data analytics within investment and banking industry.

· Experience in SQL and Python.

· Confident and comfortable engaging with various business end users and stakeholders at all levels.

· Meticulous, with a keen eye for details, especially with numbers

· Experience with data validation and correction tasks.

· Able to multi-task across various activity streams.

About the job

Job Description

• Provide data and insight support for specific marketing function, work with teams across our global offices
• Develop smart and efficient solutions to reporting and data extraction needs
• Produce actionable insights that will be used to support or devise new insights & marketing strategies
• Work with big data
• Problem solve on evolving new analytical or data tracking needs, with the global teams

Requirements

• Experience in Business Intelligence/Data Analytics in tech/e-commerce or fast-paced environment is preferred
• Strong technical skills in Python and SQL
• Ability to pay attention to details and manage tasks effectively
• Passionate about data and solving challenging problems
• (Plus but not required) Degree in STEM related disciplines (e.g., Computer Science, Analytics, IT, Engineering)

Job Description

· At least 2 years of hands-on experience in data management or data analytics within investment and banking industry.

· Experience in SQL and Python.

· Confident and comfortable engaging with various business end users and stakeholders at all levels.

· Meticulous, with a keen eye for details, especially with numbers

· Experience with data validation and correction tasks.

· Able to multi-task across various activity streams

Job Description:-

-Experience in Data migration for medium to large scale projects; profile data, develop data migration and reconciliation approach, lead data mapping activities, govern data model changes, supervise ETL and recon build

-Primary Skill: Microsoft Azure App Service

Top 3 Must-Have Skills

-Solutioning and Hands-On Experience in Azure Synapse, Azure Data Factory, and Power BI (or similar toolset).

- Basic knowledge of DB2, MSSQL, Cloud Infrastructure, and Security.

- Experience in troubleshooting and resolving Data migration issues (e.g. perform analysis of logs to determine ETL failure and provide resolution, perform analysis of data reconciliation breaks and provide resolution, tuning scripts to improve performance)

- Experience in managing data cleansing activities; analysis, tracking, and stakeholder management

- Integrate data from multiple sources to produce requested or required data elements.

Good To Have Skills

- Exceptional written and verbal communication and presentation skills

- Client consulting and technical leadership experience

- Proficient with visual data tools like Power BI, Qlik, or Tableau.

- Demonstrable professional experience with data mining, analysis, and modeling, of large-scale, complex data sets.

Experience

About 6-8 years experience mandatory.

Enterprise Architect plays a critical role in designing and maintaining technology functioning in Income toward transforming digital experience, embedding Income’s financial services in the ecosystem, regional drive, and more sustainable operations.

He/she is responsible to facilitate collaborative solutioning, create and maintain technology blueprints / standards / guidelines / patterns for adoption, coordinating with other architects and stakeholders to oversee their effective implementations, ultimately ensuring effective technology implementation to achieve business strategy and priorities.

He/she needs to have knowledge and skills in system architecture and solutioning, technology delivery and operations, security, and relevant technological trends. He/she is expected to foster and maintain open and growth mindset, be adaptable, and strive for clarity and collaboration in dynamic and complex environment.

Primary Responsibilities:

• Create and maintain technology blueprint and roadmap to represent Income’s business and technology strategy, goals, and capabilities required by domain.
• Create and maintain architecture standards, guidelines, design patterns and reference models, keeping in line with industry and technology best practices and regulations.
• Review and guide solutioning for adherence to technology blueprint and roadmap, and for effective implementation of architecture objectives, including but not limited to fit-for-purpose of technology, effective and efficient integration of a solution into Income’s ecosystem, and managing complexity, risk, and costs for delivery and operations.
• Track and follow up for effective closure of design gaps and technical debts.
• Collaborate to contribute and maintain repository of systems’ design artefacts, including but not limited to, application components & services, data, integration, infrastructure, and deployment views.
• Collaborate and contribute to tactical design solutions, troubleshooting, and corrective measures to address systems’ gaps.
• Formulate improvements in systems’ design robustness, resiliency, flexibility, interoperability, and overall futureproofing of the architecture.
• Conduct research, curation, and sharing of relevant technological trends / thought leaderships.
• Create and maintain communication materials for stakeholders, technology forums, and community engagements.

Qualifications:

• Bachelor Degree in Computer Science or equivalent
• Minimum 10 years of experience in software and integration, solution architecture design, enterprise architecture and governance, and/or technology consulting.
• Strong proficiency and knowledge in architecture development, technology delivery and management, cyber security, and technology risk and compliance.
• Strong proficiency and knowledge in either or combination of the following areas:

1. Customer Centricity, User Journey & Experience Design,
2. Insurance & Investment Product Launch & Management,
3. Data Strategy, Data Management, & Data Protection,
4. DevSecOps, SRE, Technology Risk & Compliance

• Strong analytical and problem-solving skills, detail-oriented, and result-driven.
• Strong communication skills, oral and written, with good interpersonal and stakeholder management skills.
• Strong adaptability, with growth mindset and ability to navigate and drive effective engagements and results in complex, uncertain, and ambiguous environment.
• Bachelor's degree in computer science, engineering, or a related study.
• Certified in TOGAF / ITIL / COBIT / CISA or related trainings / programmes in solution architecture, emerging technologies, and technology governance.
• Having experience and good understanding of Financial / Insurance Industry and relevant regulatory requirements, such as MAS TRM Guidelines and LIA/GIA Guidelines, is preferred.

Job Description

· At least 5 years of relevant experience in data management, data analytics, and 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.

· Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.

· Good at working with details and is meticulous for operations.

· Able to design and implement solution, and perform code review.

· Experience in Systems Development Life Cycle (SDLC) implementation methodology and/or Agile methodologies like Scrum and Kanban.

· Excellent written and verbal communication skills.

· Strong interpersonal skills and able to interact with diverse stakeholders.

· Agile, fast learner and able to adapt to changes.

· Good team player, with strong analytical skills and enjoy complex problem solving

The L1 System Engineer is responsible for: • To provide 24 x 7 support for Data Center running on 12 hours shift • Assisting the Customer in the verification, isolation and/or provision of a temporary work around for the incident/problem logged. • Resolving the incident/problem onsite. • Escalating unsolvable problems and service requests to the System and/or Software Engineer and reporting the escalation to the Project Manager. • Generating the relevant administrative records and reports. • Introducing and integrating new technologies into existing environments. • Applying operating system updates, patches, and configuration changes. • Adding, removing, or updating user account information, resetting passwords, etc. • Answering technical queries • Maintaining the configuration of the system. • To implement Service Request and Change Request • Contacting OEM/Vendor for technical support

•Preferably with Microsoft Certification and/or ITIL certification.
• Good Knowledge of following products will be advantageous:
-Linux
-Unix
-Active Directory/DNS
-Microsoft Azure Stack
-Microsoft Windows 2008-2016
-Commvault Backup and Recovery
-Symantec Endpoint Protection
• ITIL certification will be an advantage.

Please submit resumes to [email protected] with the following details in MS Word format:

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

John Goh Meng Chye

EA License No : 06C4642

EA Reg No : R1102621

We regret that only shortlisted candidates will be notified.

We regret that only shortlisted candidates will be notified.

Overview

As part of Pfizer's Marketing Transformation initiative, Publicis has created a bespoke global operation within the Publicis Groupe network with the single-minded mission to accelerate Pfizer's goal of revolutionizing how Pharma connects and engages with Healthcare Professionals, patients, caregivers, payers and consumers - with an ambition of being viewed as a global marketing leader, not just in pharma.

Publicis Groupe is creating Integrated Agency Teams (IATs) - across brands and geographies - by drawing from the best talent across the Groupe to deliver cutting-edge expertise and diverse skills, acting as one integrated, end-to-end operational model to serve advertising, marketing production, digital experience, media/omnichannel engagement, data Intelligence, analytics, web, and social commerce - all supported by the scientific rigor pharma needs to deliver personalization at scale in a compliant manner.

Pfizer is pioneering the marketing model of the future, and Publicis Groupe recognizes that our success is intertwined with the success of Pfizer's transformation and the growth of their brands.

Opportunity

The IAT Data Lead for Asia plays a critical role in helping lead the marketing transformation initiative within Pfizer. This individual understands that marketing today, is largely driven by technology and data. And in healthcare, providers and patients are relying on technology more than ever, which allows new and different connection points for businesses; The best marketing is high-touch and high-tech.

The IAT Data lead will design Pfizer’s data strategy and deliver innovate new ways to connect with patients and healthcare providers across Southeast Asia and India.

Key Responsibilities

· Collaborates effectively with both client and internal teams across Southeast Asia and India to identify specific client needs, business outcomes, and priorities that can be achieved or supported by data-driven marketing products and services developed by the data, tech and tools team.

· Converts the desired business outcomes and priorities into high potential use cases for increased data maturity, crafting client-facing proposals for use case implementation, including scope, feasibility, dependencies, and roadmaps.

· Operates as a 'data translator' - liaising with non-data experts in the wider teams to connect their priority outcomes to the art of the possible, in a way that enables client understanding of the value add from data, tech and tools.

· Develops an expert understanding of the current and potential future state of client's data, tech & tools landscape, to understand both opportunity areas and obstacles that need to be overcome.

· Incorporates outcomes from ex-Asia data, tech and tools market readiness assessments (that give a snapshot of current 1st and zero party data maturity, availability, and connections to 2nd and 3rd party sources, martech setup, audience segmentation, channel preferences, and local pharmaceutical market regulations) into locally relevant use case definition to maximize feasibility and scaling across the region.

· Adopts a cross-functional approach to data strategy that considers the omnichannel customer journey, experience mapping, and optimization, the role of paid, earned and owned media insights in developing customer understanding and segmentation, strategies for capture and enrichment of customer data, taxonomy strategy, and developing marketing effectiveness frameworks that link marketing activity to commercial outcomes.

Skills & Experience

· Must Have

o 10+ years working in a data strategy capacity or similar field where data-driven decision-making is core to the role.

o Demonstrable experience of turning analysis and observations into actionable insights that deliver value to the business, especially in the areas of audience targeting, message sequencing, communication effectiveness, brand and campaign measurement plans, and real-time campaign optimizations.

o Ability to explain technical concepts to a non-technical audience, to simplify complexity, and to explain insights in a broader strategic context.

o Experience in planning and delivering data-driven strategies and understanding how they will affect the client's business.

o Awareness and knowledge of the evolving martech landscape for analytics, CRM, personalization, and media, including understanding of the relative pros & cons of solutions from different providers.

o Ability to lead data partnerships with media & data vendors that are critical to driving business growth, particularly in emerging markets where digital roadmaps are still in infancy stage.

o Skilled in cross-team collaboration with multiple internal and client-facing departments, leveraging cultural fluency to connect with Southeast Asia and India-based and ex-Asia stakeholders.

· Good-to-have:

o Experience within a pharmaceutical marketing discipline & familiarity with the pharma regulatory environment in Southeast Asia and India.

o Experience using Tableau or Microsoft Power BI to visualize data insights in a clear and actionable way.

o Experience using JIRA & Confluence (or similar tools) for project management and collaboration.

Product Data Specialist

Requirements:

• Degree/Diploma in IT, Data or Equivalent
• Experienced in master data creation and change processes within an operational framework
• Sound understanding of Global Product Hierarchy structure and usage with business processes / reporting requirements – on group level
• Good understanding of the GPA (or its equivalent) processes and their impact on regional/local business processes
• Performing Global Product Hierarchy (GPH) process related tasks
• Ensuring product mapping adherence to central governance guidelines
• Experienced with Master Data tools and processes
• Basic chemical and industry specific knowledge
• Excellent communication and interpersonal skills

Interested Applicants please forward your updated profile to [email protected]

NOTE:

Under the revised Employment Agencies License Condition 5(b), employment agencies (EAs) are required to collect the personal data (e.g., NRIC, FIN) of applicants referred to employers for permanent or contract job positions of at least 6 months with a fixed monthly salary of $3,300 and above. PDPA requirements on collection, use and disclosure of personal data are not applicable to EAs that are collecting such information, as it is a regulatory requirement.

https://www.mom.gov.sg/faq/submit-quarterly-referral-and-placement/are-employment-agencies-allowed-to-collect-personal-data

Product Data Manager

Requirements:

• Defining data quality management measures for accurate Global Product Hierarchy (GPH) assignment and ongoing data maintenance
• Single point of contact for all GPH structure related questions and issues
• The management of the GPH attribute; including the underlying assessment of the business requirements
• Define standards and business rules to avoid misuse of the GPH information; Suggest measures for improvement
• Acts as escalation level and decision instance for run-organization for the GPH steward
• Acts as final and accountable decision instance for GPH approval on group level
• Excellent communication and interpersonal skills

Interested Applicants please forward your updated profile to [email protected]

NOTE:

Under the revised Employment Agencies License Condition 5(b), employment agencies (EAs) are required to collect the personal data (e.g., NRIC, FIN) of applicants referred to employers for permanent or contract job positions of at least 6 months with a fixed monthly salary of $3,300 and above. PDPA requirements on collection, use and disclosure of personal data are not applicable to EAs that are collecting such information, as it is a regulatory requirement.

https://www.mom.gov.sg/faq/submit-quarterly-referral-and-placement/are-employment-agencies-allowed-to-collect-personal-data

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Job Title: Data Engineer (Spark Scala DevOps)

Role: Developer

Job Requisition Number: JR28211, JR28212

Job Level: 1 - 9 years of relevant experience (L1 - L3)

Location: Singapore

Job Objectives

We are seeking a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

Key Responsibilities

l Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives

l Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions

l Ensure data quality and integrity throughout the data processing lifecycle

l Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques

l Optimize data engineering workflows for containerized deployment and efficient resource utilization

l Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability

l Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance

l Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements

l Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure

l Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference

l Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps

l Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank

Key Requirements

l Bachelor's degree in Computer Science, Information Technology, or a related field

l Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments

l Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)

l Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes

l Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java

l Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

l Experience with Graphana, Prometheus, Splunk will be an added benefit

l Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges

l Excellent collaboration and communication skills to work effectively with cross-functional teams

l Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment

l Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

Please forward your resume in MS word format to [email protected] and [email protected]

Please refer your friends for any IT openings as we have various positions.

Please do not send PDF Format Resume . Send the following details

1. Notice period

2. Current Salary

3. Expected Salary

4. Visa Status in Singapore

5. Current Location

Find Your Dream Job With Us

WE ARE HIRING !! Apply now and make a difference.

Job Title: Data Engineer (Spark Scala Elastic)

Role: Developer

Job Requisition Number: JR28213, JR28214

Job Level: 1 - 9 years of relevant experience (L1 - L3)

Location: Singapore

Job Objectives

We are seeking a talented and experienced Spark Scala Developer with expertise in Elasticsearch to join our team. As a Spark Scala Developer, you will play a crucial role in designing, developing, and optimizing big data solutions using Apache Spark, Scala, and Elasticsearch. You will collaborate with cross-functional teams to build scalable and efficient data processing pipelines and search applications. Knowledge and experience in the Compliance / AML domain will be a plus.

Key Responsibilities

l Design, develop, and implement Spark Scala applications and data processing pipelines to process large volumes of structured and unstructured data

l Integrate Elasticsearch with Spark to enable efficient indexing, querying, and retrieval of data

l Optimize and tune Spark jobs for performance and scalability, ensuring efficient data processing and indexing in Elasticsearch

l Collaborate with data engineers, data scientists, and other stakeholders to understand requirements and translate them into technical specifications and solutions

l Implement data transformations, aggregations, and computations using Spark RDDs, DataFrames, and Datasets, and integrate them with Elasticsearch

l Develop and maintain scalable and fault-tolerant Spark applications, adhering to industry best practices and coding standards

l Troubleshoot and resolve issues related to data processing, performance, and data quality in the Spark-Elasticsearch integration

l Monitor and analyze job performance metrics, identify bottlenecks, and propose optimizations in both Spark and Elasticsearch components

l Stay updated with emerging trends and advancements in the big data technologies space to ensure continuous improvement and innovation

Key Requirements

l Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field

l Strong experience in developing Spark applications. Experience with Spark Streaming is a plus

l Proficiency in Scala programming language and familiarity with functional programming concepts

l In-depth understanding of Apache Spark architecture, RDDs, DataFrames, and Spark SQL

l Experience integrating and working with Elasticsearch for data indexing and search applications

l Solid understanding of Elasticsearch data modeling, indexing strategies, and query optimization

l Experience with distributed computing, parallel processing, and working with large datasets

l Familiarity with big data technologies such as Hadoop, Hive, and HDFS

l Proficient in performance tuning and optimization techniques for Spark applications and Elasticsearch queries

l Strong problem-solving and analytical skills with the ability to debug and resolve complex issues

l Familiarity with version control systems (e.g., Git) and collaborative development workflows

l Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams

Please forward your resume in MS word format to [email protected] and [email protected]

Please refer your friends for any IT openings as we have various positions.

Please do not send PDF Format Resume . Send the following details

1. Notice period

2. Current Salary

3. Expected Salary

4. Visa Status in Singapore

5. Current Location