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.

Responsibilities:

Assist operations by performing data entry into system and updating when needed

Willing to learn and familiarise the use of relevent programs and tools

Communicate effectively within the team

Filling of documents

Organise and maintain the use of office common area, being tidy

Maintaining the office equiptment and the supplies needed

Requirements:

Past experience are not required but would be benefitial

Proficient with Microsoft Office, mainly Word & Excel, or willing to learn on the job

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 Overview:

We are seeking a detail-oriented and organized Data Entry Administrator to join our team. The ideal candidate will be responsible for accurately inputting and updating data into our systems, ensuring data integrity, and supporting the overall efficiency of the organization.

Key Responsibilities:

1. Efficiently input and update data into databases, spreadsheets, and other data management systems.
2. Verify and correct data discrepancies to maintain accurate records.
3. Perform regular data quality checks to ensure consistency and integrity.
4. Assist in the preparation and maintenance of reports, spreadsheets, and other documentation.
5. Collaborate with team members to resolve data-related issues and discrepancies.
6. Maintain confidentiality and adhere to data security policies.
7. Support the implementation and improvement of data entry processes.
8. Respond to data inquiries and provide requested information to internal stakeholders.
9. Follow established guidelines and procedures for data entry and management.
10. Adapt to changes in data entry procedures, software, or systems.
11. Embrace new tools and technologies to enhance data entry processes.

Qualifications:

• Minimum 'N' level
• Proven experience as a Data Entry Administrator or in a similar role.
• Strong proficiency in data entry and accuracy in handling large volumes of information.
• Excellent knowledge of data management software and Microsoft Office applications.
• Detail-oriented with strong organizational and multitasking skills.
• Ability to work independently and collaboratively in a team environment.
• Excellent communication skills and a high level of integrity.
• Familiarity with data protection policies and confidentiality requirements.

Preferred Skills:

• Proficiency in Microsoft Office Skills and data entry software

How to Apply:

Interested candidates are invited to submit their resume and cover letter to [email protected]. Please include "Data Entry Administrator Application" in the subject line.

Termite Specialist Pte Ltd is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences.

Qualifications:

1. Minimum N/O Level
2. Proven experience as a Data Entry Clerk or similar role.
3. Strong typing skills with a high level of accuracy.
4. Proficient in data entry software and Microsoft Office applications.
5. Excellent attention to detail and organizational skills.
6. Ability to work independently and collaboratively within a team.
7. Strong communication skills.
8. Knowledge of data confidentiality principles.

Responsibilities:

1. Data Entry:

• Input and update data into the company's databases and information systems.

• Ensure accuracy and completeness of data by reviewing and verifying entries.

2. Typing Speed:

• Demonstrate a high typing speed and accuracy to meet daily productivity goals.

• Continuously work on improving typing skills for increased efficiency.

3. Quality Control:

• Conduct regular reviews of entered data to identify and correct errors.

• Collaborate with team members to maintain data integrity and consistency.

4. Documentation:

• Maintain organized and up-to-date records of all data entries.

• Generate reports and summaries as required by the team or management.

5. Confidentiality:

• Handle sensitive information with utmost confidentiality and adhere to data protection policies.

6. Communication:

• Collaborate with team members to clarify instructions and resolve discrepancies.

• Communicate effectively with other departments regarding data-related inquiries.

7. Adaptability:

• Adapt to changes in data entry procedures, software, or systems.

• Embrace new tools and technologies to enhance data entry processes.

8. Meeting Deadlines:

• Work efficiently to meet daily, weekly, and monthly data entry targets.

• Prioritize tasks to ensure timely completion of projects.

This position is the office manager to the consuls and vice consuls in the Consular Section and serves as a visa assistant.

Main Responsibilities:

• Responsible for assisting with all the administrative requirements of the section.
• Responsible for all aspects of nonimmigrant (NIV) visa processing. Duties include screening incoming documentation and information from a variety of sources; organizing and tracking visa requests according to a relatively complicated set of laws and procedures; assisting the Consular Officers in ensuring that all legal requirements for visas have been met; and serving as a language interpreter.
• This position has the responsibility to handle cases with increasing complexity and problem-solve with a degree of independence once at full performance level.

Requirements:

All applicants must address each selection criterion detailed below with specific and comprehensive information supporting each item in their application. Failure to do so may result in a determination that the applicant is not qualified.

• Successful completion of secondary school or graduating high school education is required.
• At least three (3) years of progressively responsible experience involving the application of complex regulatory or legal material in an administrative, government, or para-professional setting required.
• Must have good working knowledge of oral and written English language skills.
• Must have good working knowledge of oral and written in at least one designated language (Mandarin, Malay, Tamil, Burmese, or Hindi).
• Ability to work quickly with minimum supervision.
• Must have strong oral communication skills in the areas of routine transmission of information and possess good writing skills.
• Must have the skills to handle and respond to sensitive and complex situations with diplomacy and tact, care and compassion.
• Must be able to provide high standard of customer service.
• Competence in Microsoft Office programs (Outlook, Excel, Word, Teams) and possess good keyboard skills that include both speed and accuracy.

Additional job details can be requested by emailing [email protected]

Please note:

• Emailed applications and resumes are no longer accepted.
• To maintain an open and fair recruitment process, the U.S. Embassy only accepts applications that are completed in full and submitted via the Electronic Recruitment Application (ERA) website: https://erajobs.state.gov/dos-era/sgp/vacancysearch/searchVacancies.hms
• To apply for the above position: Please complete the on-line ERA form and upload any supporting documents (including educational certificates and/or transcripts related to the position requirements state above) using this site https://erajobs.state.gov/dos-era/sgp/vacancysearch/searchVacancies.hms by February 13, 2024.

Only shortlisted candidates will be notified. Thank you for your interest in U.S. Embassy Singapore.

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

Find Your Dream Job With Us

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

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

Are you somoen who likes to work in a back office data admin role and want to be part of a leading and stable shipping company? A place you can have work life balance?

Look no further! In this role, you will be responsible for having invoices entered into the system and other data admin work to support a shipping team.

About The Role

The demand for big data professionals has never been higher. If you’re a graduate with a strong interest in data, finding patterns in data, and are drawn to programming this could be your opportunity to embark on an exciting future as a Data Engineer.

About The FDM Data Engineering Graduate Programme

Over 11 weeks you will gain many advanced tools and frameworks which you will use to solve various complex data problems. You’ll receive industry relevant training in diverse languages including SQL, Hive QL, Python and Spark. You will also learn how to process massive amounts of data, create data flows, manage data lakes, design real time streaming and batch type data ingestion pipelines. Working individually and on group projects, you’ll build collaboration skills and get a feel for the real working environment.

What will I be doing?

Upon training completion through the awards-winning Singapore Academy, you will become an FDM Consultant and begin two years’ invaluable experience working with one or more of our global clients.

This crucial role involves the design and creation of data-centric scalable solutions which are vital to helping an organisation understand their data and use it to facilitate growth. You will be involved in exciting projects, managing and processing huge datasets, and become an expert in distributed data storage and computing frameworks.

What we offer you:

• Training is provided by industry experts, covering both technical and professional skills to ensure you are job-ready
• Ongoing career support throughout your entire FDM journey, including professional development, mentoring, and social networking events with a community of peers
• A chance to launch a career in one of the most in-demand tech fields

Minimum Qualifications

• Educated to a university degree level (bachelor or higher), no STEM degree required
• Demonstrable interest and desire to work in technology
• Ability to commit to completing our full 2.5-year graduate programme
• Eligible to work in Singapore

About FDM

Our people are our passion and that's why we make your training and career growth our priority. We are a global professional services provider focusing on IT and one of the Singapore's leading graduate employers, recruiting the brightest talent to become the innovators of tomorrow. With centres across Europe, North America and Asia-Pacific, and nearly 5000 consultants currently placed on client site around the world, FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning FTSE 250 employer.

Diversity and Inclusion

FDM Group is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

Responsibilities

• Serve as primary source of data insights supporting internal and external constituencies
• Analyse and translate data findings into meaningful, actionable insights including synthesising relevant insights from different customer touch points and data sources
• Lead, design and implement quantitative analytical frameworks, including scalable predictive models, customer segmentation and advertising optimisation that improve business performance and customer engagement
• Institute and adopt best practices in data science, platforms and approaches.
• Establish internal organisational standards and benchmarks
• Work with other teams in Mediacorp to understand business needs, document data and data integration requirements, and resolve conflicting business/data architecture rules. Ensure compliance with internal customer contact governance policies and drive closed-loop measurement through smart data capture.
• Become an internal authority on Mediacorps data tools and resources
• Support ad-hoc business intelligence and other strategic initiatives

Qualifications

• PhD or MS degree in Statistics, Mathematics, Machine Learning, Operations Research, Computer Science or related field.
• Minimum 5 years hands-on experience in data science, including developing and productionising data science models
• Demonstrated expertise in developing and implementing a full range of analytical techniques to address commercial challenges. Proficiency in at least one statistical analysis tool.
• Demonstrated experience with distributed databases and query languages. Proficiency in at least one programming language (preferably Java, C++, Python).
• Must possess exceptional business judgment to identify core business objectives; synthesise and interpret disparate quantitative information, and develop commercial insights for key stakeholders

• Support the team with the entry and collation of licensing and compliance data.

• Assist with the generation of statistics to report any requested figures for data requests.

• Support the team in day-to-day administrative work and other ad-hoc duties as assigned.

Job Requirement

• Minimally a diploma that requires strong numerical skills are preferred (e.g. Business/ Finance/ Engineering/ Sciences).

• Alternatively, candidates with data coding experiences are also preferred.

Mandatory Skills

• Good Microsoft Office Skills, especially Excel and Access

• Candidate should be meticulous, and have strong numerical skills

• Good interpersonal and communication skills

Job Responsibilities

• Assist the team with data entry, and compilation of statistics.

• Assist with the generation of simple statistics for internal and external data requests.

• Support the team in day-to-day administrative work and other ad-hoc duties as assigned.

Responsibilities:

- Collaborate with relevant agencies on Levy collection effort and exchange of data/ information

- Investigate discrepancy in payment amount claimed by companies

- Face-to-face/virtual meetings with company representatives to clarify payroll records

- Conduct onsite audit on employers’ payroll records

- Draft and send e-mail response to appeals

- Statistics reporting on number of appeals received and track outcome of appeals

- Handle and process request for refunds

Requirements:

- Diploma or Degree holder

- At least 2 to 3 years of relevant work experience in enforcement or audit is an added advantage

- Excellent communication skills and inter-personal skills to engage employers and other stakeholders

- Effective team player with good communication, analytical and inter-personal skills

- Driven, meticulous and able to multi-task and work independently

- Knowledge related to compliance audit policies, relevant Act and Regulations are an advantage

- Advanced knowledge of Microsoft Excel (such as Vlookup, pivot tables), prior experience in data analysis and sense making of data from systems is a strong advantage

Knowledge

Competent in using MS Office, especially in Ms Excel

People Skill

Good Team Player

Good communication skills for both spoken and written skills

Has initiative, pro-activeness and positive working attitude,

Work Location

5 days week – AMK

Salary Budget - $2.8 - $3.8K (depending on qualification and work experience)

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.

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.

Job Description

· Strong understanding of data modelling concepts, techniques, and methodologies.

· Proficiency in data modelling tools such as SqlDBM, ERwin, and ER/Studio with experience in relational databases and SQL.

· Knowledge of dimensional modelling and familiarity with data warehousing concepts, data integration, and ETL/ELT processes.

· Strong working knowledge in SQL, preferably in Snowflake.

· Strong working experience and understanding in business process mapping to data flows and proposing optimization.

· Good documentation skills.

· Working experience with Cloud data platforms, preferably Snowflake.

· Hands-on experience in Python.

· The successful candidate will be expected to support data modelling and architecture for an in-house financial data platform.