We are a top 8 global IT services company with operations in 50+ countries. We offer an advanced portfolio of application, business process, cloud, and infrastructure services to businesses and governments worldwide.

NTT DATA Singapore PTE Ltd is a wholly owned subsidiary of NTT DATA Corp, a part of NTT Group, the world’s 65th Largest Company according to Fortune Magazine.

At NTT DATA SINGAPORE, we pride ourselves on being an inclusive and equal opportunity employer that puts our people and clients first. We welcome different ideas, backgrounds and passionate individuals to join us in our inclusive environment to achieve stronger and better results through teamwork, foresight, and innovation. We pledge to create a harmonious and nurturing culture, where all individuals feel a sense of pride and belonging, regardless of age, gender identity, race, sexual orientation, physical or mental ability, ethnicity

COLLECTION, USE AND DISCLOSURE OF PERSONAL DATA - NTT DATA will be assessing and evaluating your suitability for employment/appointment or continued employment/appointment in any position within our organisation

Role: Site Reliability Engineer (1 year renewable contract)

Experience: Minimum of 4 years

Location : Changi

Responsibilities:

• Implement and maintain highly resilient, highly available data engineering, monitoring and analytics application clusters. Perform production support for the platform.
• Set up and operate the server infrastructure and software (Linux, Elasticsearch, Logstash, Grafana, Kibana, Kafka, Nginx) based on bank’s security standards and industry’s security standards.
• Perform continuous improvement for the platform covering areas such as: capacity planning, observability, monitoring, reliability, and resiliency.
• Design and develop data engineering pipelines.
• Automate repetitive tasks, optimize processes and perform thorough testing to ensure quality.
• Create and maintain software documentation for the platform.
• Perform system maintenance, patching and upgrades.
• Deliverables ( How they will be measured as mandatory needs)
• Ensure on-time delivery of tasks and projects.
• Ensure continuous up time of applications and services.
• Ensure no security or audit issues.

Qualifications:

• Bachelor's degree (computer science or related field) with good experience working with contemporary technologies and scripting languages.
• Strong communication skills and ability to explain protocol and processes with team and management
• A passion for learning and using new technologies in the open source communities.
• 4 or more years of IT work experience.
• Knowledgeable and have hand on experience in system administration or system software support
• Knowledge and experience on operating and support one or more of these software - Linux, Elasticsearch, Logstash, Grafana, Kibana, Kafka, Nginx
• Good knowledge and experience in Unix/Linux/Shell/Python scripting.
• Self-driven, committed, and reliable team player. Passionate to learn new technologies.
• Additional knowledge and experience for 1 or more areas below is not mandatory but would be a plus
• SRE (Site Reliability Engineering) practices covering monitoring, observability, performance management, automation, and resiliency.
• Object Oriented Programming, web application development, NodeJS, Spring boot and Kafka
• Automation tools (e.g. Ansible, Chef, Puppet etc.) & DevOps pipelines
• Experience in data ingestion (extraction, cleansing and parsing) and data analytics

Your new company

This organization, widely recognized on the international stage, holds a prominent position in the banking sector.

Your new role

This role welcomes diploma holders or university fresh graduates who are looking for an entry-level position within the banking industry. The responsibilities include networking, familiarizing yourself with banking products, and providing expert advice to potential clients regarding the most suitable product for their needs. The role will be based at various locations on-site at corporations.

What you'll need to succeed

If you bring a sales background to the table, your base salary will commensurately reflect your expertise. However, what truly matters is your unwavering self-motivation, resilience, and ability to thrive under pressure. Given our diverse client base, proficiency in Mandarin is required. Additionally, be prepared for occasional Saturday events (you will be compensated with time off in lieu)

What you'll get in return

An exceptional opportunity awaits for those seeking experience in the financial services sector through a client-facing role. Forge connections with diverse individuals and gain invaluable experience within a market-leading institution, paving the way for a robust career trajectory.

What you need to do now

If you're interested in this role, click 'apply now' or forward an up-to-date copy of your CV to me at [email protected]

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion on your career.

Responsibilities;

Write production code and develop applications/interfaces for Trading Analytics.

• Co-design the architecture for Data Platform and Data Analytics, including the development of Data Lake/Warehouse, optimization of data flows, and highly automated data cleansing.

• Test and deploy algorithms, develop applications, and interfaces for various use cases in Markets area.

• Ensure that applications are properly documented, and that the implementation is in line with internal architecture guidelines and principles.

• Provide support regarding Data Analytics platform and software.

• Automate, monitor, and improve performance of quantitative models.

• Interact with stakeholders and external vendors to optimize data and software infrastructure.

• Assist Product owner with technical questions, creating reports and implementation roadmaps, technology assessment and decisions.

• Work and collaborate with stakeholders in an Agile-based approach.

Qualifications & Skills;

• Bachelor Degree in Information Technology, Computer Science, Engineering.

• 7+ years of work experience as a Developer/Software Architect. Experience in implementing financial software is a plus.

• Advanced knowledge of architectural design of real time Data Analytics solutions including Data Architecture, Databases, Data Lakes, Data flows, and Data transformations.

• Advanced coding skills in programming languages such as Python, Scala, and Java.

Previous knowledge of C++, C#, and/or Haskell would be a plus.

• Expert knowledge of Cloud Computing regarding one of Azure, Google Cloud, or AWS.

• Knowledge of Spark, Databricks, and Kafka.

• Previous knowledge of Oracle, MS-SQL, MongoDB is a plus.

• Experience with Jira, Jenkins, Git, Docker, Kubernetes, and Dash (or similar) is a plus.

• Knowledge of object-relational mapping and object-oriented databases.

• Experience with real-time analytics, OneTick and/or KDB+ is a plus.

• Knowledge of VBA, R, Matlab, Tableau, and PowerBI is a plus.

• Knowledge of Big Data, Machine Learning, and Quantitative Finance is a plus.

• Collaborative, team player, open minded, and easy to work with.

• Proficient presentation skills and high attention to detail.

• Able to explain technical results to non-technical audiences.

Description:

• Competently support various regulatory and registration work required for AFCC.
• Process, post and retrieve required data to and from the database system.
• Perform cross-training to other Specialists when required.
• Gain direction from Team Leader/Supervisor on work assignments.
• Conduct all assigned work to meet the compliance with organization’s safety and quality requirements.
• Communicate operation issues to Team Leader

Requirements:

• Min. Diploma in Science or related field
• Fresh grads are welcomed

Interested candidates, please forward your resume to [email protected] or whatsapp 94498220!

Consultant: Huang Jingsheng Kevyn (R1333338)

Recruit Express Pte Ltd (99C4599)

Overview of Data Operations & Architecture Department

Recognising the efficacy of big data and artificial intelligence in optimising sharper insights and outcomes for public health, the Data Operations and Architecture Department will take a proactive role to drive the design of a 360-view citizen-centric data architecture and the implementation of data operations to support and facilitate an evidence-based, data-driven approach to programme delivery. The department will set up and implement data architecture and structuring, cleaning and validation of big data from diverse HPB and partners’ data sources (e.g. food transaction data, sports attendance data, screening and sensor data) to facilitate data feature engineering use cases pivotal to downstream data exploitation. The department will also be involved in strategic collaborations with partners (e.g. public healthcare and data science institutions, academics and technology players) to bring in their data and expertise onto the data operations to benefit citizens.

We are looking for dynamic and enthusiastic individuals, with strong data engineering and data science skills and project delivery experience, to join us on this pioneering journey to build a more data-driven HPB. You will be pivotal in helping to set up and implement a robust data engineering pipeline that can integrate the vast wealth of data HPB has through its numerous data sources. A robust data pipeline ensures that changes from the data sources does not impact the timely delivery of high quality data to our business users.

Given the diversity of data collected from our lifestyle programmes, data science approaches such as machine learning will also be deployed to support the data engineering process. For example, we have build and included machine learning ops to help with standardising event names.

Responsibilities

• Design optimal data structures for strategic datasets and drive data engineering processes related to data ingestion, data imputation, data transformation and integration to facilitate data science and analytics use cases
• Build optimised, test driven codes to achieve the above mentioned
• Translate research and analytics questions into data features to facilitate dashboarding, model training, analytics, and data science applications
• Build test case on code to ensure that all codes are built to perfection
• Project manage and be the overall lead for engagement to bring together HPB vendors, partners, IT and business teams to plan, set timelines and drive processes that enable timely delivery of the data engineering pipeline guided by business needs
• Lead internal cross-functional teams to integrate, process and engineer disparate datasets into structured and meaningful variables to facilitate machine learning and data science use cases
• Lead the preparation of materials to update senior management periodically on progress of the project and surface issues and challenges for collective deliberation and decision-making

Qualifications and skillsets

• Bachelor/Masters degree in Computer Science, Engineering or Information Systems with major / project experience in data science and/or business analytics from a recognised university. Professional certifications in data engineering from accredited professional bodies will be highly desirable.
• Minimum 3-5 years of relevant project management and delivery experience. Experience in end-to-end deployment of data engineering projects in production environment preferred.
• Proficiency in the use of Python and/or Power BI
• Experience working on data engineering, and/or database architectural work
• Experience working on a few of the following component in the data pipeline: data ETL, data cleaning, data modelling, and feature engineering.
• Able to work in a fast-paced matrix environment, overseeing multiple projects at the same time
• Good communication skills and able to communicate and express complex data/concepts in a clear and simple-to-understand manner
• Have the drive, commitment, and perseverance to do well and have strong intellectual curiosity to learn and seek continuous improvements in the work assigned
• Experience in Big Data technologies e.g. Hadoop and Spark Ecosystems will be desirable
• Experience with test-driven development will be desirable
• Take an interest in digital health and healthcare

What will you do?

Join us as a Data Engineer, where you’ll harness vast datasets to drive health innovation forward. Your role will centre on crafting resilient data infrastructures, mastering SQL and big data technologies, and turning complex business challenges into actionable data insights. We’re looking for a collaborative problem solver with a blend of technical prowess in Python or Java, deep understanding of distributed computing, and a genuine eagerness to impact the healthcare industry.

Your key responsibilities include:

• Support the management of data effectively to achieve project goals and enhance engagement with all stakeholders.
• Develop and implement a robust health data system for use in medical contexts, optimizing the functionality of health products with advanced big data infrastructure.
• Engage in the establishment and upkeep of data warehouses. Catalog and strategize data resources based on operational needs, creating a comprehensive data asset framework to assure quality and security, and facilitate the seamless exchange and use of data.
• Construct and maintain a reliable data pipeline. Oversee the integrity and governance of both offline and real-time data throughout processing stages.
• Collaborate in the research and creation of data-driven products and applications, building a repository of data strategies and methodologies. Work alongside teams from operations, product development, and medical education to unlock the potential of data in driving business objectives.
• Mentor and provide professional development for junior and intermediate data R&D engineers by conducting training sessions, performing code reviews, and employing other methods to enhance the team's overall skill set.

What skills do you need?

Human Skills:

• Demonstrates clear thinking, logical reasoning, and strong problem-solving skills.
• Possesses excellent communication and presentation abilities.
• Exhibits a keen understanding of business processes and the ability to grasp complex business issues.
• Shows enthusiasm for tackling challenges and an aptitude for learning.

Base Technical Skills:

• Experienced in the architecture, modelling, and ETL (Extract, Transform, Load) design and development of data warehouses.
• Proficient in SQL coding and performance optimization.
• Skilled in at least one programming language, such as Python or Java.
• Knowledgeable about distributed computing frameworks, including but not limited to Hadoop, Hive, Flink, Spark, Hudi, Kafka, and Elasticsearch.
• Competent in handling large-scale data processing and real-time data computation.
• Acquainted with big data analysis engines like Kylin, Clickhouse, and Presto.
• Familiar with the implementation or data integration of international mainstream electronic medical record systems.

Qualifications:

• Holds a degree in Computer Science, Mathematics, Statistics, or a related field.
• More than 3 years of professional experience in big data, previous experience in health tech or healthcare industry is a plus.
• Well-versed in medical data standards and models, such as FHIR and OMOP.

Manufacturing Technician

Location : Gul circle [Company Transport Pick-Up from Boon Lay MRT to Company (2 ways)]

Working days : 5 days

Working hours : 9am - 5:30pm

Salary : $1,600 - $2,000 [OT paid when OT required]

Interested applicants can also send your resume to

WA:+65 8151 4682 (Ms Angel) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

LIEW ONN KEE REG NO : R22108518

THE SUPREME HR ADVISORY EA NO:14C7279

Requirements :

• ITE graduates preferred
• Preferably 1 to 2 years working experience in a factory
• Working experience in a Chemical / Refinery plant an added advantage
• Training will be provided.

Jobscope :

• Filling of Chemicals into drums/bottles.

• Monday to Friday; office hours
• Accessible location; Walkable distance from MRT Station in the central location
• Attractive remuneration package and benefits

Our client, our established government-linked agency in the healthcare sector, is seeking for suitable candidates to join the growing team!

Job Responsibilities:

• Support management in the handling of data sharing request based on company’s Data Sharing Framework
• Manage and ensure continued relevance and application of the company’s policy across division’s processes
• Manage and review data protection compliance related aspects
• Ensure compliance of Data Protection by organization’s partners; Engage and develop suitable data sharing agreements with partners, doing process reviews etc
• Support and manage internal and external stakeholders towards continued improvements for an enhanced governance process in managing classified information and data
• Develop and execute standardise approach for data governance compliance
• Conduct reviews and periodic audits to ensure continued adherence with Data Protection approaches
• Other relevant duties as required

Job Requirements:

• Minimum Degree in Information Science/ Business Management or equivalent
• Minimum 5 years of relevant experiences in handling information management and governance aspects
• Knowledge of Data Protection Act is highly advantageous
• Strong analytical skills; Candidates with strong process thinking skills and workflow approach is preferred
• Good interpersonal and communication skills

Interested and suitable candidates, please email your CV in MS Word to

[email protected]

Ammerline Lam Sze Yi

Division Manager

CEI Reg. No.: R1104463

Personal Data Protection

“By submitting your curriculum vitae or disclosing your personal information in connection with your job application, you are deemed to have read and agreed to the terms of our Privacy Policy, and consented to the collection, use and disclosure of your personal data by us, in accordance with our Privacy Policy. Please access our website at www.celecti.com.sg for a copy of our Privacy Policy.”

Salary: up to $3500

Working Days & Hours: Mon-Fri Office Hours, Alt Sat half day

Location: Kent Ridge

Job Description:

• Pharmacy Operational duties
  • Processing medication orders
  • Picking, packing and labeling of medicines in accordance to Standard Operating Procedures ( SOP)
  • Perform the following medication reconciliation steps: counting, sorting and typing of prescriptions
  • Perform billing functions
• Provision of quality customer service
  • Provide professional and courteous service to all patients/customers
• Inventory Management
  • Review and update inventory level base on consumption on a regular basis
  • Oversee storage conditions, expiry checks, audits and reporting of defects of drug products within the institutions
  • Plan and ensure that cycle counts and stock take are conducted accurately and accordingly to the Standard Operating Procedures
• Sterile and Non-sterile Manufacturing (Laboratory & Cancer Centre Pharmacy)
  • Prepare sterile and non-sterile products which include:
• Total parental nutrition bags
• IV admixtures and infusions
• Extemporaneous eye drops, cream, ointment and mixture
• Process sterile and non-sterile products prescriptions/orders:
• Assemble medication, supplies, and equipment and compound products according to set procedures.
• Ensure double-checking of all prepared products before leaving laboratory
• Ensure products manufactured by pharmacy follow quality control requirements
• Package end products including affixing of auxiliary labels

Job Requirements: Min Diploma in Pharmaceutical Science or similar

Interested candidates, please submit your resume to: [email protected]

Ally Audrey Lok Xin Woon

Recruit Express Pte Ltd (Healthcare & Lifescience)

Company EA Licence number : 99C4599

Personnel EA License: R21102307

[email protected]

Job posting done by Sheralynn Tjioe, Head of Interim and Contracting Solutions (Technology) Recruitment at Kerry Consulting

Email: [email protected]

Company Profile
My Client is a leading stable firm in Singapore.

Responsibilities

My client is looking for a Data Center Engineer (onsite) to support the firm.

• Minimum of a Diploma in computer science, IT, or Engineering.
• At least 2 years of relevant work experience in enterprise Data Center operation and management.
• Experience in maintaining asset information in ServiceNow Configuration Management Database (CMDB) is desirable.
• Familiarity with maintaining the Data center infrastructure management (DCIM) system is advantageous.

• Support and participate in various operations and projects related to the Data Center, including but not limited to:

o Providing technical assistance and day-to-day operational support.
o Coordinating, assisting, and escorting personnel for network cabling work with appointed vendors.
o Ensuring network cables are installed and labeled according to standards.
o Conducting housekeeping of unused network cables.
o Coordinating, assisting, and escorting personnel for equipment installation, removal, and disposal activities.
o Ensuring IT devices are installed and labeled according to standards.
o Coordinating and assisting in replacing faulty equipment (e.g., PDU, Rack, cables).
o Updating and verifying Data Center IT asset information in CMDB and DCIM.
o Ensuring Data Center visitor logbooks are accurately filled.
o Conducting quarterly reviews of Data Center visitor logbooks.
o Replacing Data Center visitor logbooks as required.
o Conducting quarterly reviews of the Data Center access matrix and access log.
o Conducting quarterly reviews of the Key Management System access matrix.
o Maintaining Data Center cleanliness.
o Enforcing Data Center policy and change management procedures.

To Apply

For a confidential chat regarding your next Technology role, please submit your resume (in MS Words format) to Sheralynn Tjioe at [email protected], quoting the job title. We regret that only shortlisted candidates will be contacted.

Registration No.: R1878306

License No.: 16S8060

As the leading SAP / SI provider in APAC and part of our Company’s growth, we are looking for dynamic, motivated, and dedicated individuals to be part of our team in Singapore.

If you have the right skill set, driven, willing to learn and demonstrate a can-do attitude, come join us! We welcome candidates of all levels.

Key Responsibilities:

• As an Azure AWS Solution Architect & Presales, you will be responsible for designing, developing, and implementing Azure BI solutions that meet the business requirements of clients. You will also provide presales support to the sales team by presenting solutions and capabilities to potential clients and conducting proof of concept (POC) engagements.
• Work with clients to understand their business needs and requirements, and translate them into technical solutions leveraging the Azure BI platform
• Design and architect end-to-end Azure BI solutions that meet the client's business needs and requirements, ensuring that they are scalable, secure, and performant
• Develop and implement Azure BI solutions, including data modelling, ETL/ELT, data warehousing, and reporting/visualization
• Conduct POC engagements to demonstrate the capabilities and benefits of Azure BI solutions to potential clients
• Collaborate with the sales team to identify opportunities, develop proposals, and provide presales support
• Provide technical leadership and guidance to project teams, ensuring that projects are delivered on time, within budget, and meet the client's expectations
• Keep up-to-date with the latest trends, technologies, and best practices in Azure BI, and share knowledge with the team
• Relevant Experience & Skills:
• Bachelor's degree in Computer Science, Information Systems, or a related field.
• At least 3 years of experience in implementing Azure BI solutions
• Strong knowledge of Azure BI technologies, including Azure Data Factory, SSIS, Azure Synapse Analytics, Azure Analysis Services, and Power BI
• Excellent communication and interpersonal skills, with the ability to build relationships with clients and team members
• Strong problem-solving skills, with the ability to think creatively and strategically to solve complex problems
• Proven ability to lead project teams, prioritize tasks, and deliver projects on time and within budget
• Azure certifications, such as Azure Solutions Architect Expert or Azure Data Engineer Associate
• Experience in other BI technologies, such as Tableau or QlikView

· Bachelor or Technical Degree in Computer Science, IS, or IT is preferred

· At least 5 years of relevant working experience in Java/J2EE development

· At least 2 years of experience in big data technology development.

· Good understanding & working knowledge with Agile/Scrum

· Hands-on experience of end-to-end design and implementation of complex IT systems

· Strong knowledge in Core Java (Java 8+) and OOAD

· Experience in Kafka messaging system.

· Big Data framework like Storm, Hadoop, Hdfs, Hbase, Ignite.

· Knowledge of Flink, Redis, s3, MongoDB is an advantage.

· Tools – Maven, GIT CICD, Cucumber, Kibana

· Knowledge of containerization technologies like Docker & Kubernetes.

· Solution design using proven patterns, awareness of anti-patterns, performance benchmarking

· TDD driven development mindset with strong skills in Junit, Mockito and other Unit testing frameworks

· Knowledge on DevOps Practices