We are seeking a motivated and capable Senior Data Analyst to help drive Data/Business Intelligence initiatives.

The Senior Data Analyst is responsible for extracting meaningful insights from extensive datasets to inform data-driven business decisions. Strong understanding of data analysis, statistical methods, and data visualization is required, and this position involves working with cross-functional teams, contributing to the development of data infrastructure, and ensuring data quality and integrity.

RESPONSIBILITIES:

● Data Extraction and Management: Extract and transform data from various sources, ensuring data accuracy, consistency, and reliability. Cleanse data and identify/rectify coding errors. Develop and maintain data pipelines and data models for analyses.

● Data Analysis and Reporting: Analyze large datasets to identify trends, patterns, and anomalies, using statistical techniques and data visualization. Develop and maintain dashboards and reports to track Key Performance Indicators (KPIs). Generate regular and ad-hoc reports, collaborating with stakeholders to meet their reporting needs.

● Insights and Recommendations: Cleanse and interpret complex data to provide actionable business insights. Translate data findings into operational and strategic improvements, developing recommendations to streamline processes, improve efficiency, and contribute to overall success.

● Collaboration and Communication: Work with cross-functional teams, including business analysts, data engineers, and other stakeholders. Collaborate with management to align business and informational priorities. Communicate analytical findings and insights to both technical and non-technical stakeholders.

● Data Governance: Contribute to advancing transition toward a more data-driven culture. Abide and adhere to data governance policies in servicing data extraction or report requests, metrics and dashboards. Assess adherence to data quality standards and data governance initiatives.

● Project Management: Manage projects to ensure results are measurable, actionable, and aligned with stakeholder goals.

● Consultation: Provide professional consultation services.

● Process Improvement: Identify opportunities for process optimization and stay informed on the latest trends and advancements in data analytics. Continuously evaluate and refine existing data processes and methodologies.

REQUIREMENTS:

● Bachelor's degree in any STEM-related disciplines

●Certification(s) in any modern data visualisation platform

●2-5 years of experience working in a data analyst role, preferably in the healthcare industry

●Proven experience wrangling large datasets and in using data visualization tools such as Tableau or Power BI

●Proficiency in programming languages (Python, SQL) is essential

●Strong understanding of statistical methods and concepts such as hypothesis testing, regression analysis, and classification techniques.

●Experience with the ETL process and machine learning techniques would be advantageous

Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Senior Data Engineer position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises over 60 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team! As a Senior Data Engineer in our Singapore office, you will have the unique opportunity to join a newly established data engineering team while being supported by our existing data engineering talent in Shanghai and Moerdijk. This role offers excellent career progression as you will take on a pivotal role in establishing and growing a local team in Singapore.

Job Responsibilities:

· Take ownership of the implementation and maintenance of critical pieces of our Azure ETL pipeline and data warehouse (ADF/DBT/Apache Airflow/AKS/Databricks)

· Assist in the maintenance of an existing data infrastructure (Azure SQL MI)

· Assist in the design and architecting of ETL/ELT pipelines, data schemas/models, and data marts for business users.

· Ensure the reliability and availability of core data infrastructure with proper monitoring and alerting systems to guarantee continuous data delivery to the business.

· Take ownership of data quality and governance. Collaborate with business and IT teams to establish and meet data standards, including developing automated data checks and data quality monitoring dashboards.

· Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation.

· Stay updated with current industry best practices and trends, and evaluate technical decisions at a business level.

· Provide leadership, guidance, and oversight to junior data engineers.

Requirements:

· Bachelor's or Master's degree in Computer Science or a related engineering field from a technical university.

· 4+ years of experience in data engineering

· 2+ years of experience with Azure data infrastructure (e.g. ADF, DBT, AKS, IaC).

· 1+ year of experience with Agile/DevOps tools (Git, Jira).

· Deeply knowledgeable of data warehousing best practices, especially in the Azure cloud environment, with a strong commitment to staying current with industry trends and future advancements.

· Thoroughly familiar with the relevant trade-offs within different data modelling schemas (e.g. 3NF, star, snowflake, data vault) and storage architectures (e.g. data warehouse, data lake, data lakehouse)

· Highly motivated, with a proactive approach to project ownership and accountability for outcomes and timelines. Committed to continuous personal growth and development within the organization.

· Fluency in both written and spoken English and Mandarin is highly desirable to effectively liaise with Chinese-speaking clients and counterparts, understanding their technical requirements.

Desirable skills

· Proven experience with cloud infrastructure at a global scale, with knowledge of navigating global data regulations at a technical level.

· Experience with master data management using modern MDM tools, ideally at a global scale and/or in a cloud environment.

· Background in the shipping/maritime or chemicals industry.

· Previous leadership experience as a lead engineer.

· Experience with PowerBI and Plotly.

Working Hours: 24/7 shift basis

Shift Allowance: SGD 200/m

DC Ops Engineer is required to follow given policies, processes and procedures including, but not limited to :

• Monitoring procedures.
• Batch job review and recovery.
• Production error escalation.
• Backup and recovery management procedures.
• Disaster recovery procedures.
• Environmental Monitoring.
• Security Management.
• System and Network Monitoring.
• Production Control and Scheduling.
• System Backup, Recovery, Media and Offsite Management.
• User ID Management.

Monitoring of alert

Monitor any alert via email or monitoring application provide by CLIENT

Escalate all alerts received to the Tech Support or DPE / SDM

Raise Tickets and assigned to Tech Support

Backup Tapes

To load and unload backup tapes as per schedules

Sent backup tapes to offsite

Received tapes from offsite

Involve with DR exercise

Escort Duties

Perform escort duties for VENDOR to enter the datacentre

Physical Check

Perform datacentre physical check to ensure NO combustible items and all server racks are lock at all times

Server Reboot

Perform servers reboot as when is required by the Tech Support

EA License # 14C6941

Key Responsibilities:

• Monitor data center operations and systems to ensure peak performance.
• Conduct routine inspections and maintenance of equipment.
• Support the installation, configuration, and troubleshooting of hardware and software.
• Respond to alerts and incidents, performing diagnostics and problem resolution.
• Maintain accurate logs and documentation of technical issues and resolutions.
• Assist in capacity planning and performance tuning activities.
• Collaborate with other teams to ensure seamless operations and support.

Company’s Profile

Our client, a security solutions provider has been established for more than 25 years, with a strong reputation in the industry. They specialize in delivering comprehensive turn-key security systems, from design and integration to maintenance and support and serve clients in government, trade and commercial sectors. They are now looking for Data Center Technicians to join their expanding team!

Location: Lakeside / Admiralty

Working hours: Monday to Friday, Office Hours

Responsibilities:

• Oversee building and data centre facilities: recording and reporting on the BMS / EMS / Fire D&P / Chiller / Electrical etc
• Administrator for preventative maintenance programs to ensure that equipment are properly serviced & maintained
• Maintain good documentation of facilities and / or equipment maintenance
• Prepare monthly SLA reports for equipment uptime, power usage & temperature readings
• Respond to emergency situation and be on 24x7 standby duty
• Prepared to be on 24x7 standby recall to provide extra manpower coverage when necessary
• Be involved in new data centre projects as well as renovation and maintenance to existing space
• Responsible to handle site inspections / audits by external authority (eg. HDB/LTA/NEA/FSB)
• Scheduling and tracking of servicing jobs and vendor management on a day to day basis
• Maintain high customer service level standards
• Managed all facilities contracts

Requirements:

• Min. Diploma in Building / Facility Management or any other related field
• Some relevant experience in Data Centre facility management and vendor management is a good bonus
• Good knowledge in building technology, mechanical and electrical services and facilities management

Your recruiter for this job: WhatsApp Celine @ 6421 4966 for a quicker response.

Connect with me on LinkedIn: www.linkedin.com/in/your-recruiter-celine-chan

Celine Chan | R21103433

Talentsis Pte Ltd | EA No: 20C0312

Education/Experience

• Diploma/Degree in Computer Engineering, Computer Science, Information Technology, or related technical field.
• At least 2 years of relevant experience preferred.

Job Description

• Install, configure, and manage Cloudera CDP 7.x clusters.
• Ensure cluster security, governance, and high availability.
• Monitor and maintain cluster performance and health.
• Handle daily operations, backup, recovery, and technical user support.
• Develop and update documentation for Hadoop configurations and processes.

Skill Sets

• Knowledge of Cloudera CDP runtime components.
• Proficiency in Linux administration and shell scripting.
• Familiarity with Kerberos, LDAP, and database administration (MySQL/PostgreSQL).
• Advantageous skills:Cloudera Data Services.
  Python environment and package management.
  Docker/Kubernetes.
  
• Strong problem-solving and troubleshooting skills.
• Ability to work both independently and collaboratively.

Only shortlisted candidates will be notified.

Please email a copy of your detailed resume to [email protected] for immediate processing.

(EA Reg No: 20C0312)

Job Summary

This position serves as Hotel Desk Clerk working independently at the Front Desk in Navy Gateway Inns & Suites which covers a 24 hours, 365 days operation. Incumbent performs various clerical work involved in receiving, registering and assisting guests, assigning rooms, receiving reservations, collecting charges, maintaining related records, etc. using Property Management System (EPITOME) and One-Net PC.

Duties and Responsibilities

• Checks in personnel desiring billeting; receives and checks orders/authorization and ID cards, determines categories of the personnel and the applicable type of billeting service charge to be assessed and explains the entitlement, prepares registration sheets, assigns rooms and issues room keys, base map, and free Wi-Fi information. Checks out personnel: receives and checks room keys, computes and collects service charges (cash payment, VISA/MASTER/AMEX credit card payment and direct billing), and issues official receipts.

• Receives and accepts reservation requests from transient and deployment personnel in accordance with pertinent instructions. Makes room assignments for reservations made by Central Reservation System, Website and DTS. When NGIS room is not available, issues Certification of Non Availability (CNA) control number and books off-base accommodations after necessary arrangement with requesters. Confirms and provides certificate of non-availability letters for record. Reports reservation and availability status for supervisors. Takes inventory of all keys during every shift.

• Receives all incoming telephone calls, messages, or visitors and transmits to residents without delay. Receives and disseminates information on disasters, typhoon reports, etc. to appropriate officials. Coordinates with non English speaking staff in response to customer requests and/or complaints.

• Communicates with the contracted housekeepers to share room status information. Works maintenance issues such as door lock programing, cable TV setting, etc. after normal working hours. Creates trouble call requests for maintenance if issue cannot be resolved.

• Provides convenience services such as money changing, answering varied inquiries, providing local area information, etc. Maintains a clean Front Desk Lobby and Café Lounge. After normal working hours, performs daily Quality Assurance (QA) room inspections.

• Computes and collects service charges from transient residents biweekly and from deployed residents monthly. Prepares official receipts, and forwards them to their POCs when required. Maintains registration sheets and other operating records. Performs monthly inventory of Front Desk amenities and reports to Supply Inventory Clerk.

- Performs other related or incidental duties as assigned.

Conditions of Employment

• Willing to work night shift when required

• Satisfactorily complete all background checks to include Local Agency Check (LAC).

• This position may be designated ALPHA personnel for inclement weather or in the interest of national security and may be required to report for work when other employees are excused.

• This position is subject to the possibility of working on weekends and holidays, as well as, rotating shifts, often consisting of other than normal duty hours.

• The staff member may be recalled to duty and/or required to work overtime, as necessary to meet mission requirements.

• The incumbent is required to obtain Navy Lodging Program (NLP) front desk certification within 6 months of employment, as well as, any other requirements outlined in the Lodging Career Path Guide.

QUALIFICATIONS REQUIRED

• Must be skilled in the use of a personal computer and various software programs.

• Must possess basic math and reading skills. Must be able to communicate clearly and effectively both verbally and in writing in English.

• Ability to handle, control, and account for large amounts of cash.

• Preferred 6 months of work experience that demonstrates knowledge of basic principles, concepts, standards, and regulations related to hospitality operations.

• General experience of 6 months – progressively responsible clerical, office, or other work that indicates ability to acquire the particular knowledge and skills needed to perform the duties of the position to be filled and High School Diploma or equivalent.

Education

• Full GCE 'O' Level Certificate.

Benefits

• Eligible to earn annual/sick leave, be placed in a comprehensive employee group insurance cover and enjoy a one-month annual wage supplement.

Required Documents

• Updated Resume

• Copy of highest academic education certificate

How to Apply

Interested applicants may apply through the MyCareersFuture portal.

• Salary Range: $2600 - $2800 + OT + AWS

• Performance Bonus and Attendance Bonus provided

• Working days & hours: 9:00AM – 6:00PM (Monday – Friday)

• Working Location at Ang Mo Kio

• Excellent Welfare & Benefits

• Well Established Network Provider Company

• Aircon Environment

Job Scope

• Responsible for dealing with problems in the delivery process, proactively reporting and timely obtaining solutions in case of problems that cannot be solved independently to ensure the timely flow of orders.
• Responsible for completing all kinds of orders in and out of the warehouse and delivery work on time.
• Responsible for following up the progress of maintenance orders, sorting out and filing and handing over documents, and organizing inventory counting.
• Responsible for the daily work system optimization requirements, solve abnormal problems, optimize work efficiency.

Requirement

• GCE O Level and above
• Training will be provided for candidate without experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume:

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

YEOW CHANG FU (R23118759)

EA Recruitment Pte Ltd

EA License No: 21C0492

Zenith Infotech (S) , a Tech Recruitment firm with 27 years of presence in Singapore, is assiting one of our clients to lookout for Data Engineer, proficient in main skill set of Talend.

Job Scope :

· Using the Talend ETL toolset, to create new and maintain existing ETL jobs.

· Design and implement ETL for extracting and transforming data from diverse sources, such as: Cloudera, PostgreSQL, and SQL Server databases.

· Design and develop database tables necessary along with the necessary constraints as per the requirement.

· Collaborate with Team members to understand source system structures and data retrieval methods/techniques, and tools within the organization.

· Support the development of data transformation logic using ETL tools or scripting languages like SQL, Python, etc.

· Clean, validate, and transform data to conform to target schema and quality standards.

· Work with the Team to execute data quality improvement plans.

· Participate in troubleshooting activities to maintain data integrity and process efficiency.

Requirements:

• Experience with Talend, Python and Spark

• Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, HDFS).

• Understanding of data-warehousing and data-modeling techniques

• Knowledge of industry-wide visualization and analytics tools

• Good interpersonal skills and positive attitude qualifications

• Degree in computer science, mathematics, or engineering

You will join our team as an Actuarial Data Analyst, where you’ll become part of Munich Re’s Life and Health Southeast Asia Unit in Singapore, supporting the SEA Life Commercial team.

You will utilize your actuarial knowledge and data analytics skills to transform, process and analyze client bordereaux data. A key focus of the role will be driving the Treaty Monitoring Project (KTM), which aims to refine the tracking of treaty performance. Your efforts will result in comprehensive reports and actionable insights that inform organizational strategies.

Additionally, you will contribute to ad-hoc analyses and collaborate on projects that enhance processes, ensuring the delivery of high-quality, data-driven solutions.

Your job:

• Collaborate with actuarial and accounting teams to analyse and interpret treaty terms and product features.
• Lead the onboarding of treaties and the development of the KTM project by automating data-driven processes, designing algorithms for data cleaning, and preparing comprehensive documentation to improve efficiency and accuracy.
• Develop and maintain dashboards using tools such as VBA, SQL, Python, and Power BI to visualize, monitor, and analyse client data, providing relevant insights to support business decision-making.
• Partner with clients and internal teams to identify and resolve data issues, ensuring documentation and maintaining high data quality standards.
• Conduct ad-hoc investigations, including premium reconciliations, generating management reports, and preparing datasets for experience analyses.
• Support the team with miscellaneous tasks, demonstrating adaptability and a proactive problem-solving mindset.

Your profile:

• Bachelor's degree in Actuarial Science or Business Analytics, with a strong foundation in data transformation and data analysis.
• Experience in actuarial-related roles and Life Insurance principles and products is preferred; fresh graduates are welcome to apply
• Proficient in Excel, SQL, and data analysis automation, demonstrating strong analytical and problem-solving skills.
• Skilled in data visualization tools, particularly Power BI, for creating compelling reports.
• Detail-oriented with a proactive approach, committed to continuous learning, and possessing a positive willing-to-learn attitude.

Our Benefits:

• Flexible and hybrid working arrangements
• Generous annual leave allowance
• Competitive dental, life and health insurance coverage

At Munich Re, we embrace, and value, the interaction of diverse backgrounds, experiences, perspectives and thought. This interaction is our foundation. Of our open culture and spirit of partnership. Of how our teams are built and cultivated. Of how we are supported and developed. And at the center of this interaction is each of us.

Our Company

Gentco Logistics is a leading international liquid chemical logistics provider with three core business units: chemical tankers (5th largest fleet globally), chemical tank containers (2nd largest fleet globally), and terminal storage tanks. Our global headquarters are in Shanghai, China, supported by a regional headquarters in Singapore and 40 operational offices across six continents. Gentco Logistics is wholly owned by the Junzheng Group (ticker 601216.SH).

The Opportunity

The Data Analyst (PowerBI)position is a part of the Global IT Department, which is directly overseen by the Group’s CIO. Our team currently comprises of over 40 IT, software, and data professionals primarily based in Shanghai and Moerdijk (the Netherlands). With our IT presence in Singapore rapidly expanding, we are excited to invite you to join our team!

Job Responsibilities:

· Respond to user requests to modify our existing PowerBI resources (~10 workspaces, ~30 semantic models, ~100 dashboards); create new PowerBI resources when necessary

· Respond to other user requests outside of PowerBI by using SQL queries to directly interact with our data warehouse

· Regularly audit data quality and security on both our PowerBI and data warehouse environments (Azure stack)

· Understand recurrent business requirements, able to help data engineers refine data mart designs based on real user expectations; make suggestions to the data team as a whole about how to service the organization better

· Promote a culture of organizational learning by facilitating knowledge sharing and implementing best practices in documentation by ensuring that business requests, and any resulting data products, are well documented.

Requirements:

· 3+ years SQL experience

· 2+ years PowerBI experience

· Bachelor's or Master's degree in any field

· Professional fluency in both written and spoken English

· Proficiency in Mandarin is an added advantage to effectively liaise with Chinese-speaking counterparts.

Desirable Qualities:

· Previous work experience related to with B2B ERP/TMS systems

· Previous work experience related to container shipping, freight forwarding, or maritime logistics

Job Responsibilities:

● Collaborate with product managers and engineers to identify and define offshore and marine product development problems that can be solved using data science and machine learning techniques.

● Design, develop, and implement data science solutions to improve product performance, efficiency, and reliability.

● Build and maintain data pipelines and infrastructure to support product development and data science activities.

● Collaborate with other scientists to develop and share best practices in data science and machine learning.

● Stay up-to-date on the latest trends and developments in LLM and generative AI, and apply your knowledge to improve the company's products and services.

Qualifications:

● Master's degree in Data Science Statistics, naval architecture, marine engineering or a related field.

● 1 - 3+ years of experience in data science and machine learning with a focus on LLM and generative AI.

● Strong programming skills in Python, R, or a similar language.

● Experience with data mining, machine learning, and statistical analysis tools and techniques.

● Experience with cloud computing platforms such as AWS, Azure, or GCP.

● Excellent problem-solving and analytical skills.

● Strong communication and teamwork skills.

Our Addresses and Working Hours:

Seatrium (SG) Pte. Ltd.

(Pioneer Yard)

50 Gul Road Singapore 629351

Mon - Thu: 8:00am – 5:15pm

Fri: 8:00am – 4:30pm

Interested candidates are invited to send us an updated resume with your current and expected salary and earliest availability.

We regret that only shortlisted candidates will be notified.

Please note that your personal data disclosed to Seatrium (SG) Pte. Ltd. and our group of companies, shall be used for the purposes of evaluation, and processing in accordance with our recruitment processes and policies. By providing your personal data, you have consented to the aforesaid purpose under the provisions of the Personal Data Protection Act 2012.

JOb Responsibilities:

• Cluster Setup and Maintenance: Install, configure, and maintain big data platforms like Hadoop, Spark, Kafka, Elastic Search, Graph databases etc. Set up and manage distributed file systems (HDFS) and NoSQL databases (HBase, Graph databases).
• Performance Optimization: Monitor system performance, fine-tune jobs, and optimize cluster utilization. Manage and resolve performance bottlenecks in big data environments.
• Security Management: Implement data security policies, user authentication (Kerberos), and access control (Ranger, Knox). Regularly review and patch systems to ensure data integrity.
• Backup and Recovery: Plan and implement backup and recovery strategies for big data environments. Develop disaster recovery solutions and test failover scenarios.
• Workflow Automation: Design and implement workflows using tools like Apache Oozie or Apache Airflow. Automate cluster management tasks like upgrades and scaling.
• Monitoring and Support: Monitor logs, metrics, and system health using tools like Ambari, Cloudera Manager, or Prometheus. Provide on-call support for production systems and resolve incidents.
• Collaboration: Work closely with data engineers and developers to support ETL pipelines and data processing jobs. Collaborate with stakeholders to ensure big data systems meet organizational needs.

Job Requirements:

• Strong knowledge of big data ecosystems (Hadoop, Elastic search, HDFS, YARN, Hive, HBase, Spark, Kafka).
• Proficiency in Linux/Unix system administration.
• Experience with monitoring tools like Nagios, Grafana, or Splunk.
• Scripting skills in Python, Shell, or Bash.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their big data services.
• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Certifications in Hadoop, Cloudera, or related big data technologies are a plus.
• 7-8 years of experience in big data administration or similar roles.
• Hands-on experience in scaling and managing large clusters in production environments.

Interested applicants please send your resume in MS Words format and attn it to Tan Joanna (R1104661).

Short listed candidates will be notified

www.ambition.com.sg

EA Registration Number: R1104661

Data provided is for recruitment purposes only

Business Registration Number: 200611680D. Licence Number: 10C5117

• Strong programming experience with frameworks including XML, JavaScript, and ETL
• Developing, updating, and automating reports and dashboards using visualization tools
• Using software to automate data collection and modification
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• At least 5 years of data-related working experience, with at least 3 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.

You will play a key role in data collection, management, and analysis, with a primary focus on the ICU Multidisciplinary Infectious Diseases (IMI) service, Haematology-Infectious Diseases clinical service, and other related services.

Key Responsibilities:

• Manage existing databases by extracting, cleaning, processing, and analyzing data for routine and ad-hoc reports.
• Develop new databases for clinical audits, surveillance programs, and research projects.
• Design methodologies and systems for managing and extracting complex data from multiple sources.
• Produce documentation, including standards, best practices, policies, and procedures for data management.
• Prepare and present data analysis reports, ensuring clarity in data structures and insights.
• Generate quarterly and annual reports for IMI and other related services.
• Provide data support for research activities and quality improvement projects.
• Collaborate with multidisciplinary teams, including ICU and ID physicians, microbiologists, and pharmacists.
• Support administrative duties and contribute to hospital-wide and departmental quality improvement initiatives.
• Work beyond routine responsibilities during infectious disease outbreaks or as needed.

Requirements:

• MUST have Prior experience in healthcare settings
• Strong proficiency in data management, analysis, and reporting tools.
• Experience in developing and managing databases, with an understanding of logical data models and data dictionaries.
• Excellent communication and presentation skills for conveying complex data insights.
• Prior experience in healthcare settings is preferred.
• High integrity and commitment to maintaining patient data confidentiality.
• Eagerness to learn and proactive problem-solving mindset.

Interested Applicants please APPLY HERE or email your resume to [email protected]

Talents@Work Pte Ltd (21C0501)
Sankari Mogan (R24120729)

• Programming Skills: A solid foundation in programming languages such as JavaScript, Java, or similar.
• Technical Aptitude: Basic understanding of server-side development (e.g., Node.js), front-end development (e.g., React), and/or web service development (e.g., Spring Framework).
• Networking Knowledge: Familiarity with basic to intermediate networking.
• Database Management: Proficiency in SQL for database querying and management.
• AI/GenAI Awareness: Basic concepts and applications of AI/GenAI, with some exposure to developing and implementing AI solutions.
• Server and Environment Management: Basic skills in setting up and configuring servers, and an introduction to cloud platforms (e.g., AWS, Azure, Google Cloud).
• Soft Skills: Strong communication skills, effective problem-solving techniques, and the ability to work collaboratively in a team environment.

Assistant/Manager, Data Exchange Unit

We are seeking a dynamic and experienced professional to join our Data Exchange Unit. In this role, you will drive the development and implementation of data strategies, policies, and workflows to ensure efficient and compliant data management across the organization.

Key Responsibilities:

• Support the execution of the organization’s Data Strategy to enable data-driven decision-making.
• Develop and align data policies with national guidelines and organizational standards.
• Manage data request platforms, ensuring compliance with access, sharing, and security protocols.
• Act as a liaison with stakeholders for data requests and analytics initiatives.
• Implement workflows for data asset management across their life cycle.
• Enhance staff competency in safe and effective data use.
• Provide secretariat support for data committees and promote knowledge sharing.
• Lead stakeholder engagement and change management in data governance.

Requirements:

• Degree in Computer Science, Information Systems, or related fields.
• Minimum 5 years of experience in data management, governance, or strategy.
• Experience in compliance reviews, data systems, or analytics is advantageous.
• Strong understanding of data governance, policies, and emerging technologies.
• Familiarity with healthcare operations and regulatory requirements is a plus.

Interested Applicants do send me your resume to [email protected] or APPLY HERE

Talents@Work Pte Ltd (21C0501)
Sankari Mogan (R24120729)

Senior Specialist, Data & Infrastructure Lead

• Based in Singapore, the regional hub for Asia Pacific (AP) and top-ranked biopharmaceutical company on The Straits Times and Statista’s list of Best Employers in Singapore for four consecutive years (2020, 2021, 2022, 2023) as well as Great Place to Work-Certified™ company.
• Join the premier biopharmaceutical company that has been in Singapore for more than 25 years.

Join our company and be at the forefront of technological innovation in the pharmaceutical sector. We are seeking a Data & Analytics/Infrastructure Lead to develop, support, and manage data analytics, site IT infrastructure, and other digitalization solutions. This role offers a unique opportunity to drive impactful change and contribute to our organization's success.

Responsibilities

• Develop, support, and manage Data & Analytics and other digitalization solutions.
• Support Site IT operations to ensure 100% availability of IT and network infrastructure.
• Collaborate with other Digital teams (Foundational & Digital Services) and Technology Infrastructure, Operations, & Experience (TIO&E) teams to effectively manage site IT changes and incidents.
• Innovate new solutions and business models, applying technical knowledge and experience to develop, deploy, and support IT-OT systems for a large pharmaceutical manufacturing company.
• Foster collaboration with divisional data & analytics leads and D&A engineers from network sites to share and implement best practices.
• Partner with the divisional Data Science team to develop and implement GenAI, machine learning solutions, etc., for manufacturing processes.
• Coordinate with global Leads, Program Managers, and Business stakeholders to plan, estimate, and deliver digital/transformational initiatives efficiently and effectively, ensuring program execution aligns with organizational goals.
• Develop, review, and approve technical documents for assigned programs/projects, including design documents, User Acceptance Test executions, change controls, risk assessments, and release notes.
• Ensure compliance with industry standards and regulatory requirements, maintaining the highest levels of data security and integrity.
• Lead the evaluation and integration of new technologies and tools to enhance data analytics capabilities and drive innovation within the organization.

Qualifications​ Required

• Bachelor’s or master’s in computer science, Engineering, Data Science, or equivalent degree.
• 3 – 4 years of experience in data analysis and IT operations.
• Passionate about working with new technologies.
• Strong analytical, problem-solving, and decision-making skills.
• Some experience in IT operations and systems (SAP, MES, LIMS), shop floor automation systems, and manufacturing.
• Written and verbal communication skills, including the ability to communicate with business and technical teams.
• Ability to work independently and effectively as part of a team across global hubs, maintaining a highly collaborative and transparent effort.

Preferred

• Experience in IT/Automation projects and operation management.
• Familiarity with advanced/emerging technology trends such as SMACIT (Social, Mobile, Analytics, Cloud, and Internet of Things), AR/VR, Blockchain, and Data Science.
• Experience with SCADA/Data Acquisition systems.
• Strong experience in SQL and data visualization tools like PowerBI, Tableau, and Spotfire.
• Knowledge of IT-OT convergence.
• Programming experience in Python/R.
• Familiarity with Big Data Engineering and ETL.
• Experience working in a large global matrix organization.
• Working experience/knowledge in a manufacturing environment.

Key Job Purpose:

• To perform the role of Regional Material and Customer Master Data Steward.
• Manage and coordinate that product master data are created and changed in a timely and accurately based on information provided by requestor into the central ERP for AP region.
• Reporting product and customer master data standards’ quality metrics and KPIs.
• Represent AP region in the MDG team to coordinate global product master data creation and changes that impacts AP region including providing AP region’s perspective on data standards.
• Maintain an up-to-date data standard in collaboration with Global Master Data Governance (MDG) team and AP region business process owners.
• Continuously improve the process to enhance efficiency and accuracy.

Job Responsibilities:

1.Manage and coordinate product master data are created and changed in a timely and accurately based on information provided by requestor into the central ERP:

a) Review completed forms provided by requestors to ensure that the forms are completed in accordance to established data standards.

b) Approve data created in ERP system by shared service center team.

c) Keep up to date on product launch, change and discontinuation by Marketing team to gather information on relevant to manage product master data changes, including:

i. Tracking all the changes to a project plan and conduct all the necessary follow-up to conclusion of the project plan.

ii. Store and maintain documentation related to the changes in a central storage location.

d) Address questions and clarification requests from requestors pertaining to the master data with the support from BAM team as appropriate.

2.Reporting product master data standards’ quality metrics and KPIs:

a) Using data analytics skills, generate and analyse quarterly reports on data quality metrics for review by Chief Data Governance Officer and Business Process Owner.

b) Implement corrective actions to rectify data errors with various departments in RHQ and affiliates’ data stewards.

c) Prepare reports on data quality KPIs for all affiliates.

3.Represent AP region in the Global Master Data Governance (MDG) team to coordinate global product master data creation and changes that impacts AP region including providing AP region’s perspective on data standards:

a) Review creation/change requests on global product master data requested by other regions. If there are changes that impact AP region, coordinate within AP region to define and coordinate change efforts with various departments.

b) Provide justifications for AP region’s requested creation/changes to the Global MDG team.

c) Provide AP region’s perspective to the global data standards in Global MDG discussions and convey/rollout global conclusions within AP region.

4.Maintain an up-to-date data standard in collaboration with Global Master Data Governance (MDG) team and AP region business process owners:

a) Establish the required updates to the data standard as determined together with the MDG team, business process owners and BAM team.

b) Update the data standards in the appropriates documents, files, templates including planning and provide training to the impacted departments.

5.Continuously improve the process to enhance efficiency and accuracy:

a) Review the various procedures and SOPs and discuss with business process owners and data stewards to implement process improvements.

b) Carry out training to new staff joining other departments e.g., Supply Chain, Customer Care, Marketing, on the process for product master data creation and maintenance.

6.Region controlling activities for Customer master:

a) Monitor data against agreed data quality metrics (weekly)

b) Report on data quality issues

c) Communicate data quality results to the data owner and data governance officer

7.Any other duties as may be assigned

Job Requirements:

• Diploma in IT or Business Administration or equivalent with 3 to 5 years in using SAP ECC6 or S/4 as material master data administrator.
• SAP ECC6 certification in MM or SD an added advantage
• Minimum 1 cycle of ERP implementation or enhancements.
• MS Excel, MS Project, product life cycle, process improvements, data analytics
• Team player, resourceful and sense of urgency.

Data Collection & Analysis

• Collect, clean, and validate data from various sources to ensure accuracy and completeness
• Analyse large datasets to identify trends, patterns and insights.Reporting & Visualization
• Create reports., dashboards and visualization to communicate findings to stakeholders.
• Present actionable insights to support decision-making processes.

Collaboration

• Work closely with cross-functional teams (eg doctors, nurses, administrators,) to understand their data needs
• Collaborate with IT and data engineering teams to improve data pipelines and infrastructure.

Email: [email protected]

Whatsapp: 96503173

Telegram: @jesswongie

Jessie Wong Yuan Si

Personnel EA License No.: R2197171

Recruit Express Pte Ltd (EA Licence No.: 99C4599)

Zenith Infotech (S) is a TEch Recruitment firm with 28 years of presence in Singapore, is lookingo out for experiencecd Data Engineer with main ke.y skill in Informatica IDMC.

Candidates whom are open for 6 months contract role are welcome to explreo this opportuity.

Jobs Scope:

Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS along with Databricks' Delta Lake.

• Integrate Informatica IDMC for metadata management and data cataloging.

• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.

• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.

• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

• Implement security best practices and data encryption methods to protect sensitive data in both AWS and Databricks, while ensuring compliance with data privacy regulations. Employ Informatica IDMC for data governance and compliance.

• Implement automation for routine tasks, such as data ingestion, transformation, and monitoring, using AWS services like AWS Lambda, Databricks Jobs, and Informatica IDMC for workflow automation.

• Maintain clear and comprehensive documentation of data infrastructure, pipelines, and configurations in both AWS and Databricks environments, with metadata management facilitated by Informatica IDMC.

• Collaborate with cross-functional teams, including data scientists, analysts, and software engineers, to understand data requirements and deliver appropriate solutions across AWS, Databricks, and Informatica IDMC.

• Identify and resolve data-related issues and provide support to ensure data availability and integrity in both AWS, Databricks, and Informatica IDMC environments.

• Optimize AWS, Databricks, and Informatica resource usage to control costs while meeting performance and scalability requirements.

• Stay up-to-date with AWS, Databricks, Informatica IDMC services, and data engineering best practices to recommend and implement new technologies and techniques.

REQUIREMENTS

• Bachelor’s or master’s degree in computer science, data engineering, or a related field.

• Minimum 5-7 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

• Hands on data migration(e.g. code migration from Information Power Center on premises to cloud version, data migration from Teradata/Oracle/PostgreSQL to Databricks)

• Proficiency in programming languages such as Python or Java for building data pipelines.

• Evaluate potential technical solutions and make recommendations to resolve data issues especially on performance assessment for complex data transformations and long running data processes.

• Strong knowledge of SQL and NoSQL databases.

• Familiarity with data modeling and schema design.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

• AWS certifications (e.g., AWS Certified Data Analytics - Specialty), Databricks certifications, and Informatica certifications are a plus

Responsibilities

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

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

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

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

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

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

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

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

Skills/Requirement

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

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

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

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

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

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

Responsibilities:

• Conduct thorough data analysis and implement data-driven solutions to support customer issue troubleshooting, utilizing statistical modelling and machine learning techniques to identify root causes and provide actionable insights for resolution
• Partner with field engineering teams to analyse data from plasma etching systems and provide timely, meaningful and accurate analysis results to support data-driven improvement
• Communicate effectively with both customers and internal teams, present complex data analysis findings or results to stakeholders in a concise, effective and understandable manner
• Develop advance statistical and machine learning algorithms to extract insights from large and complex data sets, and work with internal engineering team to evaluate the effectiveness of the algorithms
• Collaborate with global data engineering teams to share best practices and work on cross-functional projects that require data science expertise
• Manage and maintain the internal analytics solutions, supporting continuous development and implementation, and ensuring that data integrity and accuracy are always maintained
• Develop and conduct training sessions for local engineers on data analytics skills such as JMP and KNIME
• Other duties as assigned

Requirements:

• Bachelor’s or Master’s degree in Microelectronics, Data Science, or a related discipline.
• At least 3 years of experience in the semiconductor industry, including manufacturing equipment, fabrication facilities, semiconductor components, or related fields.
• Demonstrated experience as a Data Scientist within the semiconductor industry, with specific expertise in plasma dry etch processes.
• Expertise in developing and deploying algorithms for process optimization and problem-solving.
• Strong understanding of data analytics, statistical methodologies, machine learning techniques, and predictive modeling.
• Proficient in data science tools and programming languages (e.g., Python, JSL, R) for data processing, visualization, and analysis.
• Strong communication skills, with the ability to collaborate effectively in a team setting and build positive relationships with customers.
• Detail-oriented, organized, and resourceful team player.
• Self-motivated and capable of working independently with minimal supervision.

To apply, please visit www.gmprecruit.com and search for Job Reference: QYXW4Y4V

To learn more about this opportunity, please contact Yingying at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA Licence: 11C3793 | EA Personnel: Lai Yingying | Registration No: R1110239

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

We are seeking a skilled and motivated Data Engineer

With expertise in Scala, SQL, and Hadoop, to join our dynamic team. In this role, you will design, develop, and maintain scalable data pipelines and systems to process large datasets. You will collaborate with cross-functional teams to deliver high-quality solutions for data storage, transformation, and analytics.

Key Responsibilities

1. Data Pipeline Development

• Design, build, and optimize scalable data pipelines using Scala and Hadoop frameworks.
• Implement ETL processes for ingesting, transforming, and storing data from various sources.

2. Data Analysis and Query Optimization

• Write and optimize complex SQL queries for efficient data retrieval and transformation.
• Troubleshoot and resolve performance issues in queries and data workflows.

3. Big Data Ecosystem Management

• Manage Hadoop-based data infrastructure, including HDFS, Hive, and related components.
• Monitor system performance and optimize resource utilization in a distributed environment.

4. Collaboration and Problem-Solving

• Work closely with data analysts, data scientists, and business stakeholders to understand requirements and translate them into technical solutions.
• Provide technical guidance and best practices for data engineering within the team.

5. Automation and Monitoring

• Develop scripts and tools to automate repetitive tasks and enhance system monitoring.
• Ensure data quality and consistency through validation and monitoring mechanisms.

6. Documentation and Compliance

• Document technical solutions, workflows, and processes to ensure knowledge sharing and reproducibility.
• Ensure compliance with data governance and security policies.

Requirement/Skillsets:

Technical Skills:

• Proficiency in Scala programming and functional programming principles.
• Strong SQL skills, including query optimization and database design.
• Hands-on experience with Hadoop ecosystem tools (HDFS, Hive, YARN, MapReduce).
• Familiarity with other big data tools like Spark, Kafka, or Flink is a plus.

Problem-Solving:

• Strong analytical skills with the ability to troubleshoot and resolve complex data issues.

Communication:

• Excellent communication skills to effectively collaborate with technical and non-technical stakeholders.

Experience:

• 6+ years of experience in data engineering, big data technologies, or a similar role

EA License: R1873481

Company EA License: 11C4879

This internship offers hands-on experience working on data science projects for our clients. As an intern, you'll gain valuable skills in understanding client business needs, data preparation, data analysis, and using machine learning models to derive insights. You'll work closely with our clients under the guidance of experienced professionals.

Our Data Science Internship program has the potential to lead to a permanent position at our company. The minimum duration of the internship is six months.

We're looking for final year students currently pursuing degrees in Computer Science/Data Science, Statistical Mathematics, Engineering, Actuarial Science, or related fields with a strong background in data science. Proficiency in SQL and Python programming is required, and familiarity with Hadoop, Sparks, and its libraries is preferred.

Experience with Graph Databases like Neo4j or AWS Neptune is a plus.

We're seeking enthusiastic learners with strong analytical and problem-solving skills, good communication skills, and a customer service attitude. You should enjoy working in a team and be able to commit to a six-month internship.

At BioQuest, we value collaboration, teamwork, and knowledge sharing. Our culture is supportive and inclusive, with a strong emphasis on ethics and diversity. You'll have opportunities to learn about emerging technologies, receive mentorship from experienced consultants, and work in a supportive and collaborative environment. For high performers, there is an excellent career growth path.