Total 9,522 Full-time data entry job vacancies in Singapore

Description:

• Design, develop, and maintain scalable data pipelines using Spark and Scala to process large datasets.

• Implement and manage Elasticsearch clusters for efficient data retrieval and analysis.

• Collaborate with data scientists and analysts to understand data requirements and provide support for analytical solutions.

• Utilize Quantexa for entity resolution and network analytics to enhance data quality and insights.

• Monitor and optimize data workflows for performance, reliability, and scalability.

• Document data processes and ensure best practices in data engineering are followed.

• Participate in code reviews and contribute to the continuous improvement of our data engineering practices.

Requirements:

• Proven experience as a Data Engineer, with a strong focus on Spark and Scala.

• Proficiency in Elasticsearch for search and analytics applications.

• Familiarity with Quantexa or similar tools for data enrichment and entity resolution.

• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

• Strong SQL skills and experience with relational databases.

Job Description

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking for Cloud Data Engineer who has proven track record in IT Industry. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Cloud Data Engineer

Job Description: A Cloud Data Engineer specializing in AWS, Databricks, and Informatica IDMC is responsible for building and maintaining a robust, integrated, and governed data infrastructure that leverages the strengths of the analytics platforms to extract valuable insights from data while ensuring data security, compliance, and high-quality data management.

Roles And Responsibilities:

• 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 Step Functions, 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 / Qualifications

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

• Minimum 4 years of experience in data engineering, with expertise in AWS services, Databricks, and/or Informatica IDMC.

• Proficiency in programming languages such as Python, Java, or Scala 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, Databricks certifications, and Informatica certifications are a plus

WHAT’S ON OFFER

You will be remunerated with an excellent base salary and entitled to attractive company benefits. Additionally, you will get the opportunity to enjoy a fun and collaborative work environment, alongside a strong career progression.

To submit your application, please apply online or email your UPDATED CV in Microsoft Word format to [email protected] Your interest will be treated with strict confidentiality.

CONSULTANT DETAILS:

Consultant Name : Seema Verma

Avensys Consulting Pte Ltd

EA Licence 12C5759

Privacy Statement:

We take your personal data protection seriously and adhere to both EU and local data protction regulations.

Upon submission of your CV, you grant Avensys Consulting permission to retain your personal information in our electronic database, unless you specify otherwise. This data will be used to evaluate your suitability for current and potential job openings within our organization. Should you wish to have your personal data removed at any point, a simple notification to us will suffice.

Rest assured, we will not disclose your personal information to any third parties, and we remain steadfast in our commitment to providing equal opportunities to all applicants.

Flexible Services from Pinsent Masons Vario provides legal professionals access to high-quality legal work with top-tier clients.

Our growing hub of legal experts have a variety of skills, specialisms and experience but they all enjoy quality legal projects best suited to their skillset and unparalleled support during their assignments.

We are now looking to expand our bench with an exceptional legal professional with experience in data privacy law.

As a legal consultant, you will need:

• Minimum 8 PQE in-house or within a law firm
• Experience in providing subject legal advice relating to the entire life cycle of personal data from collection to deletion
• Ability to liaise and collaborating on privacy legal matters with, particularly understanding global positions derived from the GDPR and advising when local APAC legal considerations apply
• Experience in online technology and AI is preferred

To join our hub, you need to demonstrate the following:

• Qualified lawyer with a strong academic background
• Top international law firm or equivalent in-house/secondment experience
• Flexible, communicative and adaptable
• Enthusiastic about embracing new work cultures
• Rapidly develop close, trusting relationships

To Apply, click on “Apply” and attach your latest CV. Alternatively you can contact our Account Executive, Rachel Lee at [email protected] for a confidential conversation.

5 days, Permanent, Paya Lebar

Our Client

Data Centre Builder , Data Center facility Management Company

Job scope

· Responsible for the management n implementation of data center building projects

· Plan and prepare work schedules when the project are awarded.

· Coordinate and manage work schedule, time line , progress with vendor and external contractor.

· Manage technical submission document and ensure technical drawing n material spec requirement are adhered to

· Regular site walk, Update client n company of project progress

· Resolve site issue with multiple parties

· Prepare n produce T&C report, SAT report and Test Script based on project/site requirement.

· Prepare and coordinate for Integrated Services Test (IST) with multiple parties before opening of data center

· Prepare operation n maintainence manual (OMM) and handover certificate.

Requirements

· Min Diploma in Electrical/Mechanical Engineering

· 3 years’ experience in data center M&E project management

Added advantage

· Proficiency with Authority and BCA Code of Practice.

Work location :Paya Lebar

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

Please submit resumes(in MS word document format) to [email protected] with the following details :

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

We are seeking a talented and a motivated Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to understand data requirements, optimize data models, and ensure the reliability and performance of our data systems.

Key Responsibilities:

 Design, develop, and maintain robust data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources (e.g., Database, API, SFTP).

 Build and optimize data models and schemas to support efficient data storage, retrieval, and analysis.

 Implement data integration solutions to consolidate data from disparate systems and sources.

 Work closely with Data Scientists and Analysts to understand their requirements and provide them with clean, reliable, and well-structured data.

 Collaborate with DevOps and Infrastructure teams to deploy and manage data infrastructure in cloud environments (e.g., AWS, Azure).

 Familiar with the concept of data security to ensure the data pipelines are secured and PII (Personally Identifiable Information) data are encrypted.

 Monitor and optimize the performance, scalability, and reliability of data systems to ensure high availability and low latency.

 Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.

 Develop and maintain documentation, standards, and best practices for data engineering processes and technologies.

 Stay current with emerging technologies and trends in data engineering and contribute to the continuous improvement of our data architecture and practices.

 Explore, evaluate, and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements:

 BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.

 Proven experience (3 years) working as a Data Engineer or in a similar role.

 Strong proficiency in programming languages such as Python. Conversant with data structures and algorithm design.

 Hands-on experience with distributed computing frameworks and big data technologies such as Spark, Kafka, etc.

 Proficiency in SQL and experience with relational databases (e.g., Azure SQL DB, AWS Redshift).

 Experience with data modelling, ETL/ELT processes, and data warehousing concepts.

 Familiarity with cloud platforms and services (e.g., AWS S3, AWS Step Functions, AWS Airflow, Azure Data Logic Apps, Azure Blob Storage).

 Experience with setting up SSO using AD and implementing RBAC (Role Based Access Control) for data security.

 Excellent problem-solving skills and attention to detail.

 Effective communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

 Experience with version control systems (e.g., Git) and CI/CD pipelines is a plus.

To ensure the DC and equipment are in functioning and operational condition, report if there is equipment fault.

- To assist to perform site preparations and liaise with the relevant vendors on tasks such as IT rack mount plan, structure network cabling system, power supply and electrical wiring, air-conditioning, UPS and etc when required.

- To plan, coordinate and execute any shutdown and power up machines (according to operation manual and SOP) when required by the Customer, to facilitate the activities related to electricity, power maintenance and enhancements. The service shall include polling the possible affected parties, obtaining the approval from the Customer’s Representative and sending out the broadcast messages.

- To ensure that all trouble-shooting, upgrade, maintenance work and any other activities that affect data centre availability must be carried out after operating hours and/or over the weekend at no additional cost to the Customer. All urgent faulty parts replacement of the equipment shall seek approval from the Customer’s Representative. The list of warranty and/or maintenance contract and documentation is covered under Server Management Services.

- To ensure all technical and operational issues, that will affect the daily operations of data centre, be resolved within the stipulated Service Levels.

- To advise and propose improvements to the current processes or procedures for better efficiency and to improve the security of the data centre. However, such proposals shall be subjected to the review and approval of the Customer.

- To monitor the environmental equipment in the Data Centre to ensure that they are within acceptable operating level and take corrective actions to rectify any defects affecting the following:

o Main and Backup Incoming Power Supply

o Uninterruptible Power Supply (UPS)

o Cooling System (Air-conditioning) and Leakage Detection

o Temperature and Humidity

o Rack Space

o Network Data/ Telecom Cabling

o Fire Protection and Fire Alarm System Status

o CCTV and Motion Detectors

o Cleanliness and Tidiness

o Equipment Movements and Storage Management

o Secure Disposal of Media and Documentation

- To take pre-emptive measures to prevent any outage or single point of failure in the Data Centre due to environmental factors. This shall include monitoring of environmental equipment and follow-up with the Customer’s sub-contractors or building management to ensure that defects are identified and corrected.

- To ensure that all equipment in the Data Centre is serviced in accordance with the equipment servicing schedule.

- To provide 1st level onsite problem identification, problem reporting and vendor support after operating hours at no additional cost to the Customer in the event that any environment element fault alert is triggered after the operating hours.

- To liaise with the Customer’s Building Management Unit (BMU) at the Customer’s sub-contractors for the maintenance and servicing of the equipment in the Data Centre:

o Power Supply

o UPS

o Cooling System (Air conditioning) and Leakage Detector

o Fire Protection System

o CCTV and Motion Detectors

- To liaise and coordinate with the Customer’s appointed third-party vendors for the servicing of computer equipment hardware.

- To document and track all equipment in the Data Centre. The format of documentation shall be approved by the Customer.

- To establish capacity plans by analyzing current Data Centre resources based on current load and information given by the Customer on future growth requirement.

- To carry out annual capacity planning for the Data Centre at dates mutually agreed by the Customer, so as to project the requirements of UPS, power points, network, rack space and other Data Centre peripherals resources needed.

- The capacity plan report shall be submitted to the Customer within TWO (2) weeks upon the completion of planning.

Requirement – DC Operations

Shall provide Data Centre (DC) operations at the Customer’s premises and premises identified by the Customer. The DC Operations shall cover the following:

1. DC Environment Support; and

2. DC Facilities Management Services.

DC Environment Support

Shall monitor the facilities infrastructure in the DC to ensure that they are within the operating levels defined by the Customers. The infrastructure to be monitored shall minimally include:

(a) Power infrastructure (such as Uninterrupted Power Supply and power distribution boards);

(b) Cooling Infrastructure (such as computer room air-conditioning units);

(c) Fire detection and suppression systems (such as FM200, water sprinklers, fire extinguishers);

(d) Environment monitoring system (such as humidity and temperature); and

(e) Water leakage detection.

(f) Shall ensure the DC infrastructure is monitored on twenty-four (24) hours a day, seven (7) days a week, inclusive of Saturdays, Sundays and Public Holidays.

(g) The Vendor shall inform the Customer within one (1) hour when problems are detected.

(h) Shall work with the Customer and Customer-appointed Supplier to resolve any infrastructure issues detected in accordance to the support hours as required by the Customer.

DC Facilities Management Services

(a) Shall ensure, through daily inspection, that the general cleanliness and tidiness of the data centre are maintained by the Customer-appointed Supplier.

(b) Shall work with Customer-appointed Supplier on site preparation tasks such as network cabling and electrical wiring, when required.

(c) Shall ensure the network cabling in the data centre and within the racks are neat and tidy.

(d) Shall work with the Customer-appointed Supplier for both scheduled and ad-hoc maintenance, servicing, repair and upgrading works to the infrastructure at the Customer’s premises and premises identified by the Customer.

(e) Shall plan and coordinate the maintenance activities. This includes polling the affected parties, obtaining the Customer’s approval, and sending out messages to inform the affected party.

(f) Shall obtain the Customer’s approval before finalizing the plan for any activity.

(g) Shall provide on-site support during the maintenance activities unless otherwise agreed by the Customer.

(h) Shall maintain up-to-date documentation of the data centre design layouts.

(i) Shall manage the physical security of the data centre in accordance with the guidelines provided by the Customer.

(j) Shall monitor the following physical security infrastructure to ensure they are within the operating levels defined by the Customer:

· Security Alarm and Security Card Access System; and

· Closed-Circuit Television (CCTV).

(k) Shall ensure that only authorised personnel are allowed to access the DCs.

· The Vendor shall ensure that all visitors to DCs are escorted during their activities on-site.

· The Vendor shall ensure that the visitors record their activities in the on-site log.

Requirement – DC Operations

Minimum Requirement:

The Vendor shall ensure, through daily inspection, that the general cleanliness and tidiness of the data centre are maintained by the Customer-appointed Supplier. The DC Operator shall possess minimally the following skill sets:

(a) Three (3) years of working experience in Data Centre Engineer Operations experience;

(b) Certified Data Centre Facilities Operations Manager (CDFOM) or equivalent; and

(c) ITIL v4 Foundation Certification or equivalent

Passionate about making a real impact? Join our team at Nxera to unfold the new era! Be at the forefront of the data centre (DC) industry with a unique focus on sustainability, connectivity and AI which sets us apart as the next generation DC operator. You will also get to gain invaluable experience in a fast-growing industry that is powering the digitalisation wave. Be empowered to co-create the future with our dynamic teams!

Make an Impact by

DC Operations Management

• Ensure incidents are responded and attended to, or escalated for 2nd/3rd level resolution based on criticality, impact and SLA
• Lead BCP exercise and be the 1st level incident responder.
• Customer Request fulfilment and system management such as Electronic Visitation Management System
• Remote Hand support for – media management, visual inspection, reboot devices, staging room, physical connect/disconnect of HDD, network cable connectivity test, insertion of fire SFP
• Manage equipment movement, asset tagging, labelling and tracking
• Perform shift duty to support 24x7 DC Operations

DC Facilities Management

• Perform Event Monitoring for all Data Centre Facilities infrastructure to ensure Data Centre is in normal function both upstream and downstream (eg. UPS, power, temperature control, humidity, water detection sensor, etc.).
• Ensure all DC supporting infrastructure (i.e. Environment Monitoring System (EMS), Access Control Systems, Electronic Visitation Management System.etc) are functioning well.
• Update and maintain all DC related documentation, including reports generation where needed
• Coordinate with various stakeholders to fix the technical issues to provide timely support to customers.
• Ensure adherence to all standard operating procedures (SOP), method of procedures (MOP), and emergency response procedures (ERP) established for the critical environments, as well as the formal change control process.
• Coordinate maintenance and shutdowns (eg. working with vendors for DC electrical and mechanical systems)

Incident / Change / Customer Management and other requirements

• Manage Incidents and Closure, including Root Cause Analysis on incidents
• Raise the necessary requests from such as Change Request or notifications requests to the customers as part of service maintenance
• Liaise with internal and external customers and ensure that customers’ contractual service level agreements are met
• Perform other duties such as access clearance, and participate in projects as required

Skills for Success

• Diploma Holders in Electrical & Electronics, Computer & Communications Engineering, Information & Digital Technologies. Alternatively, you have Technical education (e.g. ITE) with relevant 5 year working experience managing 24x7 DC Operations
• General technical and functional knowledge of data center infrastructure to include electrical and mechanical systems, fire detection and protection systems, building management systems, equipment maintenance, space planning, construction of critical facilities environment
• Good communication and people management skills.
• Team player who is also able to perform independently
• Well organized and able to reschedule priorities as circumstances change
• Good communication skills (both verbal & written)
• Analytical with good problem solving skills
• Positive attitude and Proactive

Rewards that Go Beyond

• Flexible work arrangements
• Full suite of health and wellness benefits
• Ongoing training and development programs
• Internal mobility opportunities

Role

This position is expected to base in Singapore with focus in both presales and post-sales activities . He/she is expected to support senior to develop data privacy proposal or response to Request For Proposal (RFP) and support seniors in the implementation of the Data Privacy Framework or/and Data Privacy Management Software for the regional customers. This candidate can expect to acquire knowledge/experience of end-to-end ie from pre-sales to post-sales.

This candidate may from time to time being assigned project to carry out either the whole implementation or partial phases depending on the resourcing plan. This role is expected to be an integral part of the team to deliver quality implementation of our services to our customer.

Company Profile

CNAV Business Value is an organization with South-East Asia presence founded in year 2008. It has been partnering with globally recognized Data Privacy and Cybersecurity vendors such as Symantec, Trellix, Opentext/MicroFocus, Securiti Inc, Rubrik etc. Employees are constantly exposed to the leading-edge Data Privacy and Cybersecurity solutions that are undertaken by big enterprises.

CNAV is a Data Security and Data Privacy Solution Provider specialized in managing turnkey projects, providing services including but not limited to Data Security and Data Privacy based on business requirement with focus in complying to Data Privacy acts in SEA such as PDPA in Singapore, Thailand and Malaysia, PDPD in Vietnam and PDP Law in Indonesia.

Duties

The expected duties of this role are as follow:

1. Supporting Sales on crafting out solution proposals or response to an RFP
2. Furnish sales proposal with write-ups
3. Research on respective regulations if applicable
4. Present proposal to customer
5. Carrying out implementation of solution in whole or partial phases for projects
6. Develop framework, privacy policies, procedures and notices for customers
7. Assist Consultant in conducting workshops and aid in developing data inventory maps or records of processing activities
8. Carry out as a Business Analyst role for the implementation of the privacy product purchased by customer
9. Conduct training

Qualification

The expected qualification is as follow:

1. Diploma or Degree in either Business Administration, Banking or equivalent
2. At least 3 years of providing data privacy consulting or relevant experience especially some exposure in Singapore PDPA, Indonesia PDPL or EU GDPR will be an advantage
3. Meticulous in reading and crafting documents
4. Fluent in English
5. Ability to speak in other languages such as Bahasa Indonesia, Bahasa Malaysia or Vietnamese is advantage
6. Good interpersonal communication skill
7. Ability to work without supervision
8. Passionate about achieving customer satisfaction
9. Some interest in Information Technology and prepared to pick up new technology related to data privacy
10. No issue in traveling in SEA

We are seeking a highly skilled Market Data Analyst Presales Engineer to join our dynamic team. In this role, you will play a pivotal role in driving sales by leveraging your deep understanding of market data and technical expertise. You will collaborate closely with the sales team to identify and qualify opportunities, conduct in-depth technical assessments, and deliver compelling product demonstrations.

Technical Expertise:

Develop a strong understanding of our products and services (Cryptocurrency, Investments, etc), including their technical specifications, capabilities, and benefits.

Stay up-to-date with industry trends, emerging technologies, and competitive landscapes.

Conduct in-depth technical assessments of client requirements and propose tailored solutions.

Contribute to the development of the investment strategy, focusing on emerging trends in Fintech and infrastructure.

Identify new areas for investment within the fintech space, particularly in Payment solutions and decentralized technologies.

Presales Support:

Collaborate with the sales team to identify potential opportunities and qualify leads.

Develop and deliver compelling product demonstrations, presentations, and technical proposals.

Address technical questions and concerns from prospective clients, providing clear and concise explanations.

Conduct proof-of-concept (POC) implementations and data analysis to showcase the value of our solutions.

Data Analysis and Insights:

Analyze market data to identify trends, opportunities, and potential challenges.

Leverage data analysis techniques to support sales efforts and provide valuable insights to clients.

Develop custom data analysis solutions to address specific client needs.

Required Skills:

Data Analysis, Market research, Presales

domain Skills:

Cryptocurrency, Investments, etc.

Portfolio management experience is preferred.

About Us
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers.

We're seeking a driven and skilled Credit Risk Data Scientist to join our dynamic team. If you're passionate about predictive modelling, risk management, and leveraging cutting-edge technologies, this role offers an exciting opportunity to contribute in two key areas:

Credit Risk Models:

• Develop, maintain, and monitor predictive models for credit scoring, fraud detection, and suspicious activity prediction.
• Write high-quality, production-ready code for models to be deployed in the production environment.
• Deploy models in the MLOps production environment, maintaining and troubleshooting any issues.
• Support regular model performance reviews, audits, and recalibrations.
• Leverage alternative data sources to enhance underwriting and credit risk models.
• Ensure alignment with model governance, business, and regulatory expectations.

Data Analytics to Help Business:

• Collect, process, and analyze data to support statistical analysis and risk decision-making.
• Design, implement, and maintain performance reports and actionable insights dashboards.
• Provide data-driven insights and develop dashboards to support loan approval processes and business decision-making.
• Conduct in-depth analyses to identify trends, patterns, and anomalies in lending data that can influence credit risk strategies.
• Present model concepts and metrics to senior stakeholders and validators/auditors.

Experience and Qualifications

• Degree (PhD, Master's, Bachelor's) in Statistics, Mathematics, Economics, Finance, Risk Management, or related field.
• Proven experience building risk models such as Application Score, Behavior Score, PD, EAD, LGD (Basel or IFRS 9), especially for retail customers in diverse countries including Singapore.
• Comprehensive understanding of risk management throughout the customer journey within fintech or risk-focused environments.
• Domain expertise in retail credit products, banking, and regulatory frameworks (Basel, IFRS).
• Proficiency in Python, R, SQL, Snowflake and Data Visualization tools like Tableau.
• Technical proficiency in data retrieval, data modeling, data mining, and predictive modeling.
• Strong familiarity with advanced machine learning techniques, statistical classification/regression for credit risk.
• Exceptional problem-solving skills, detail-oriented mindset, and ability to thrive in a dynamic work setting.
• Bonus: Familiarity with implementing models using Terraform scripts, Docker/Kubernetes, CI/CD technologies, AWS, or MLOps.

Job Description:

A Databricks Engineer is responsible for leading the migration of on-premises data warehouses to Databricks, designing robust data architectures, and ensuring seamless data integration and governance. The role involves implementing cloud-based solutions, optimizing data workflows, and extracting insights while maintaining data security and compliance standards.

Key Responsibilities:

· Lead end-to-end data migration projects from on-premises environments to Databricks with minimal downtime.

· Design and implement solutions on Databricks within AWS environments, adhering to functional and non-functional requirements.

· Configure Databricks clusters, write PySpark code, and develop CI/CD pipelines for deployment.

· Apply optimization techniques like Z-ordering, auto-compaction, and vacuuming for enhanced performance.

· Process near real-time data using Auto Loader and DLT pipelines.

· Optimize AWS and Databricks resources for performance and cost efficiency.

· Stay updated with advancements in AWS, Databricks services, and data engineering practices to recommend improvements.

· Implement engineering methodologies, standards, and best practices.

Required Skills:

Experience:

· Minimum 5 years in data engineering, with expertise in Databricks, AWS/Azure services, or Informatica IDMC.

Technical Proficiency:

· Strong knowledge of Databricks, Python, PySpark, SQL, and NoSQL databases.

· Hands-on experience with Apache Spark, Hadoop, and cloud-based data architectures.

· Proficiency in building data pipelines using Python, Java, or Scala.

Data Management:

· Expertise in data modelling, schema design, and data governance.

Optimization Skills:

· Familiarity with techniques like Z-ordering and compaction.

Certifications:

· Databricks certifications and Informatica certifications (preferred).

Soft Skills:

· Excellent analytical, problem-solving, communication, and collaboration abilities.

Preferred Skills:

· Experience with containerization and orchestration tools like Docker and Kubernetes.

· Knowledge of data visualization tools like Tableau or Power BI.

· Familiarity with DevOps principles, CI/CD pipelines, and version control systems like Git.

· Understanding of data cataloguing tools and data governance, especially Informatica IDMC.

This role demands a proactive approach to implementing innovative solutions and optimizing workflows to ensure high-performance data engineering.

Role

a) Provide input to the development, maintenance and promulgation of the blueprints,
roadmaps and reference architectures for Data Analytics infrastructure and services.
(b) Perform analysis of new requirements and develop solutions and manage solution
delivery through acquisition or change control.
(c) Enhance our cloud capability by creating and implementing cloud application
patterns.
(d) Develop and implement ways to move apps and workloads to the cloud.
(e) Work closely with business leads and system owners to understand solution
requirements and identify architectural patterns.
(f) Write and develop cloud automation playbooks for managing and scaling containers,
hosts, cloud services, and applications.

Requirements
(a) Degree/master’s in computer science, Information Technology, Computer
Engineering or equivalent.
(b) Minimum eight (8) years’ experience in providing data warehouse or advanced
analytics solutions.
(c) Experience with
• databases (e.g. Oracle, DB2, MS SQL, MySQL, Teradata, Databricks)
• data repository design (e.g. operational data stores, dimensional data stores,
data marts, datalakes)
• data interrogation techniques (e.g. SQL, NoSQL).
• structured and unstructured data analytics.
• statistical computing programming language (e.g. R, Python).
• data quality tools and processes.
• data transformation and terminology equivalence mapping.

(d) Experience in data modelling for analytics (e.g. star schemas, snowflake schemas).
(e) Deep understanding of analytical models and methodologies – especially in the
context of health analytics for clinical use and clinical safety (e.g. data mining,
predictive analytics).
(f) Experience with data acquisition tools (e.g., ETL, real-time data capture, and change
data capture).
(g) Thorough understanding of ML, data analysis, data visualization, and event-driven
architecture.
(h) Exposure to the development, evolution and adherence to the architectures relevant
to the domain.
(i) Ability to work with a wide variety of report generation software (e.g. Power BI,
Tableau and OBIEE) and generate a wide variety of outputs (dashboards, scheduled
reports).
(j) The ability to work towards strict and conflicting deadlines, be able to plan and
prioritise in an environment with multiple stakeholders.
(k) Good interpersonal skills, a detail-oriented & flexible person who can work across
different areas within the team.
(l) Familiarity or experience with health informatics would be preferred.
(m) An understanding of healthcare data governance, data acquisition and data
management would be an advantage.
(n) Experience in interacting with analytics stakeholders (economists, statisticians,
clinicians, policy makers) on a business or domain level would be preferred.
1.1.3 Cloud Exposure (AWS):
(a) Strong knowledge and practical experience with AWS.
(b) Familiarity with modern cloud application architecture.
(c) Exposure to cloud managed services and microservices like Function as a Service,
Containers, and managed databases.
(d) Experience with setting up load balancers, cloud networks, and virtual servers.
(e) Infrastructure as code (IAC): Cloud formation, terraform.
(f) AWS identity and access management, integration with active directory.
(g) Familiarity with security and access control measures to control privileged access to test
and production environment.
(h) Certification in AWS Cloud Practitioner or AWS Architectation, terraform."

Responsibilities:

· Engage with clients to understand their business objectives, challenges, and requirements related to AI and Data solutions.

· Conduct discovery sessions to gather relevant information and identify opportunities where AI, LLM and Data Platforms can add value.

· Utilize knowledge of Data & AI capabilities to create compelling demonstrations tailored to client needs. Showcase how AI/LLMs can address specific use cases and deliver tangible business outcomes.

· Lead the execution of Proof of Concepts to validate the feasibility and effectiveness of solutions in addressing client requirements. Define success criteria, design POC workflows, and oversee the implementation process.

· Provide expert guidance and consultation to clients on technical aspects of Data Platforms, AI platforms, LLM technologies, fine-tuning methodologies, and model quantization techniques. Address client queries, offer insights, and recommend best practices of AI and Data Platforms

· Work closely with sales teams to support the development of winning proposals and presentations.

· Stay updated on industry trends, emerging technologies, and advancements in AI and Data domains. Share knowledge internally through training sessions, workshops, and documentation to empower sales teams and enhance organizational expertise.

· Cultivate strong relationships with clients, fostering trust and confidence in the capabilities of Data and AI platforms. Act as a trusted advisor, understanding their evolving needs and aligning solutions accordingly.

Responsibilities:

• Lead day-to-day demand generation and performance campaigns for B2B clients.
• Conceptualise, plan, and operate demand generation and lead generation campaigns through test and learn approaches.
• Develop marketing automation programs, including building email nurture logic, lead qualification/scoring processes through the marketing funnel.
• Manage email marketing programs and website CMS builds.
• Implement campaigns across social media platforms (Facebook, Twitter, Instagram, LinkedIn, etc.) and advertising (display, SEM, social advertising, etc.) from setup, optimisation to reporting.
• Contribute to building our performance offerings and capabilities across email, CRM, display, search, and social.
• Provide sound counsel to internal stakeholders and external clients.
• Execute solid project management and time management skills in managing multiple briefs.
• Manage content production delivery required for demand generation campaigns, including but not limited to thought-leadership articles, whitepapers, sales toolkits, customer case studies, and other high-value asset development.
• Stay abreast of inspiring, cutting-edge trends and developments in digital or client industries.
• Contribute to new business development processes and organic client growth.
• Proactively improve processes, operations, best practices, and address emerging issues.
• Design, monitor, and report on measurements and KPIs on client’s dashboard such as Google Data Studio.

Qualifications:

• Minimum 2 years of experience in social media, media, advertising, or B2B digital marketing-related fields.
• Possess data-driven qualities; detailed understanding of analytics across channels with the ability to synthesize data from many sources into actionable insights.
• Good understanding of Google Analytics; knowledge in Adobe Analytics, Adobe Experience Manager is a plus.
• Experience in Account-Based Marketing (ABM) or account-based marketing platforms such as Demandbase is a plus.
• Basic knowledge of SEM, SEO, CRM, and CMS.
• Strong interest in performance marketing.
• Integrated thinking and ability to connect digital channel ecosystems.
• Able to adapt to new conditions and a fast-paced environment.
• Self-motivated and self-starting personality.
• Enjoys diverse and multi-cultural working environment.
• Able to work both independently, as part of a team, and with senior leaders.
• Capable of managing multiple tasks concurrently in a deadline-driven process.

• Be part of a team to build and maintain data systems or pipelines.
• Perform setup, installation, configuration, troubleshooting and/or upgrade for COTS products.
• Develop or implement ways to improve data warehouses, data lakes or equivalent platforms.
• Involve in the creation of documentations e.g. design documents, troubleshooting guides etc.

Requirements

Education / Experience:

Diploma/Degree in Computer Engineering/Computer Science/Information Technology or related technical discipline

Preferably 1 - 4 years' of working experience in related fields.

Skill Sets:

Knowledge and/or experience in data management or data engineering

Experience with Linux commands and shell script

Knowledge and/or experience in relational (including SQL) or NoSQL database (e.g. document, graph)

Knowledge and/or experience in one or more of the following will be an advantage:

• Data / Search / Automation platforms such as Hadoop, Elasticsearch, Ansible respectively
• Data integration tools such as Talend, DataStage, Denodo
• Programming languages such as Python, Spark
• Microsoft Azure Cloud services such as Azure Data Factory, Azure Synapse Analytics
• Analytics platforms such as Databricks, Dataiku, Data Robot

Good problem-solving skills

Able to work independently and as a team

Maltem Singapore is currently seeking Data Engineers for our Wealth Management Client.

Summary:

The successful candidate will be involved in the creation of solutions for Data Services automation.

Skillset Requirements:

• Possess a degree in Computer Science/Information Technology or related fields.
• Proficient in Python
• SQL
• PL/SQL
• CICD.
• Familiarity with Data Warehouses such as Snowflake AND Oracle.
• Strong analytical and problem-solving skills.
• Good team player and communication skill.

Good-To-Have:

• Denodo

ASTEK has been providing IT and Engineering solutions for some of the world’s largest industrial and services groups for more than 35 years with 7200 passionate experts in 22 countries throughout Europe, APAC, Middle East and the Americas

Currently, we are looking for Data Management Specialist which would be based in Singapore

Responsibilities and requirements

• Possess a degree in Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution with 1 to 3 years of relevant IT working experience
• Experience in managing data reconciliation/quality checks/dashboarding (implementation, monitoring and troubleshooting
• Ensure that the data issues are actively detected, tracked, and fixed without breaching SLA
• Hands on experience in Snowflake and Tableau
• Experience in performing User Acceptance Testing (UAT)
• Experience in in providing documentation support, e.g. in technical/functional specifications
• Able to work closely with business end-users, data vendors, data product team and data engineers to facilitate ingestion of new data and provide support existing data while adhering to our established data framework processes
• Able to provide clear requirements and collaborate with data engineers to enable robust and scalable design of data solutions for data ingestion and management across our diverse range of datasets

Location:

Macpherson

Working Hours:

12.30pm - 9.30pm (M-F), 12.30pm - 6pm (S)

Salary:

$1700

Job Scope for Lab Assistant:

• Follow all laboratory protocols and policies in checking specimens (e.g. blood, stool, urine, etc) received & make sure that names tally with the request forms for testing.

• Assist in the care and maintenance of lab work area, furnishings & equipment.

• Follow test requirements of reference laboratory & procure appropriate specimen for testing.

• Perform bar coding samples & processes laboratory specimens received from patients under prescribed laboratory guidelines.

• Utilize lab information system (LIS) to register patients, retrieve results & print reports.

• Maintains adequate level of supplies in the work area.

• Receives requested stock items & distributes them to the appropriate place within the laboratory

• Aliquoting of urine samples

Job Scope for Data Entry Assistant:

• Enter patient’s information & order laboratory tests into the Laboratory Information System (LIS).

• Recognize & correct inaccurate or missing information on the laboratory requisitions

• Communicate with clients, co-workers & management.

• Perform other duties, e.g. assists with specimens reception, as assigned.

Requirements:

Min. N or O level

No experience needed

WA me at https://wa.me/+6584998483 NOW!

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

JeAnn Leow

Outsourcing Team

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

Position: Senior Data Engineer

Duration: Permanent

Location: Beach Road

Role:

The Senior Data Engineer will work on acquiring, storing, governing and processing huge sets of structured / unstructured data. You will bring a vision of the big data solutions landscape for choosing optimal architecture components to use for these purposes as well as a set of data engineering skills for implementing enterprise data foundations such as data lake. Finally, you will work closely with other experts in Data Intelligence, Research, UX Design, Digital Technology and Agile teams to enable intelligence in the digital mesh of our clients and deliver big impact to them.

YOUR RESPONSIBILITIES:

• Design, implement, and maintain robust and scalable data pipelines to ingest, transform, and process structured and unstructured data from various sources.
• Build and manage data warehouses and data lakes, implementing efficient data storage and retrieval mechanisms. Design data models that support business requirements and analytics use cases.
• Leverage cloud platforms (e.g., AWS, Azure, GCP) to design and deploy scalable data infrastructure, optimizing for performance, cost-effectiveness, and reliability.
• Implement data quality checks, validation processes, and data governance frameworks to ensure data accuracy, integrity, and compliance with security standards.
• Continuously monitor and optimize data pipelines and infrastructure to improve processing speed, reduce latency, and enhance overall system performance.
• Work collaboratively with data scientists, analysts, and other stakeholders to understand their data needs, provide technical expertise, and deliver solutions that meet business objectives.
• Support business users by implementing data presentation layer including data visualisation using tools like Tableau, PowerBI etc.
• Stay up-to-date with emerging technologies and industry trends in the big data and data engineering space, evaluating and implementing innovative solutions to improve data processing capabilities.
• Support the definition and optimization of underlying data infrastructure

Requirements:

• You hold a Bachelor's, Master's, or Ph.D. degree in IT, Information Management, and/or Computer Science with at least 6 years of experience.
• Good knowledge of the big data technology landscape and concepts related to distributed storage/computing
• Experience with big data frameworks (e.g. Hadoop, Spark) and distributions (Cloudera, Hortonworks, MapR)
• Experience with batch & ETL jobs to ingest and process data from multiple data sources
• Experience with NoSQL databases (e.g. Cassandra, MongoDB, Neo4J, ElasticSearch)
• Experience with querying tools (e.g Hive, Spark SQL, Impala)
• Experience with Power BI
• Experience or willingness to go in real-time stream processing, using solutions such as Kafka, AWS Kinesis, Flume, and/or Spark Streaming
• Experience or willingness to learn about DevOps and DataOps principles (e.g Infrastructure as Code, automating different parts of the data pipeline)
• High-level understanding of Data Science concepts and methodologies (how models are built, trained, and deployed)

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

Position Summary/Overview:

The Data Center Operation technician has overall responsibility to support the troubleshooting and

coordinating activities pertaining to the day-to-day support of the data centers and critical facilities. He/She is responsible for troubleshooting, managing the vendors/contractors and report to the Data Center Operation Site Lead.

Responsibilities:

• Lead a team of contractors or vendors and support in the daily data centre operations
• Perform data centre operations and inspections including monitoring and management for infrastructure systems, DC environment and facilities
• Monitor critical facilities and infrastructure system alerts and perform necessary escalation
• Perform incident management and escalation pertaining to any facilities and system downtime
• Manage and administer the service desk operations
• Ensure the implementation of safe systems on site activities.
• Liaison with the client BUs in regard to utilities, building services / facilities and systems issues
• Assist in the planning and execution of disaster recovery activities
• Administer and ensure building records, licenses, permit and etc are properly documented.
• Ensure procedures, processes and service level are being followed for any service delivery and operations
• Periodic review of the data centre operations and report any gaps and issues
• Prepare and update of Data Centre and Service Desk monthly report
• Maintain the site asset database, provide updates in accordance with CMMS requirements.

Education & Experience:

• Possess a Diploma in Computer Science or equivalent
• Possess Data Centre Certifications such as Certified Data Centre Professional
• Possess at least 3 years’ experience in Data Centre Operations, Facilities Monitoring & Management
• Familiar with Data Centre facilities including Computer Room Air-Con (CRAC), fire suppression system, water detection system, Uninterrupted Power Supply (UPS) and etc
• Familiar with Service Desk operations and incident management process
• Basic understanding on the operation of MEP systems
• Resourceful, analytical and problem solving skill
• Good communications and interpersonal skills

To process the following requests received from policyholders:

• Policy loan and surrender
• Change of address and contact
• Preparing documents for scanning into imaging system

Job assigned includes:

• Checking of completeness of documents submitted
• Checking of eligibility of application
• Typing of letters
• Any other ad hoc duties assigned by supervisors

Joy Yeow Zhi Qian

(CEI Registration No:R2096261)

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

Balyasny Asset Management (BAM) is a global, multi-strategy investment Firm with over $21 billion in assets under management. We are a diversified business, with global breadth and depth. Our Firm has a clear mission: To consistently deliver uncorrelated returns in all market environments. Today, BAM employs more than 160 portfolio managers and 1,200 investment professionals across 19 offices in the U.S., Europe, the Middle East, and Asia. We are active across six investing strategies: Equities Long/Short, Equities Arbitrage, Macro, Commodities, Systematic, and Growth Equity. We also have a dedicated private investment team, BAM Elevate, and a standalone equities unit, Corbets Capital.

As a Data Scientist on our Applied AI Team at BAM, you will:

• Work collaboratively with senior AI engineers and quantitative researchers to research and build AI systems
• Devise and develop AI solutions that leverage cloud-based data and distributed computing technologies
• Assist with managing the AI software development cycle including setting up and maintaining CI/CD pipelines
• Provide support for the system and be proactive in resolving issues in a timely manner
• Work as part of a globally distributed yet close-knit team. Be an active participant in feature brainstorming, technical design sessions, code reviews, and general interaction
• Create software that is well-commented, well-understood, well-tested, and well-documented: Quality above all!

To be considered a good cultural fit, you must be:

• An ambitious self-starter
• Driven, self-motivated, and creative
• Hungry to learn
• Driven towards success
• A very strong and efficient communicator
• Able to multi-task and excel in a fast-paced trading environment
• A problem solver; able to develop quick and sound solutions to complex problems
• Humble, self-aware, and willing to risk pushing back to make the team and others better

To be considered a good technical fit, you must have:

• Postgraduate degree in a quantitative discipline such as Computer Science, Data Science, Statistics or Mathematics
• 3+ years of professional experience developing high quality Data solutions and products as an individual contributor
• A passion for data and AI, and experience harnessing that passion to educate others
• Strong knowledge of AI engineering best practices, object-oriented concepts, and the ins and outs of data-focused development
• Expert in Python (including its data wrangling and machine learning libraries)
• Solid understanding and demonstrable experience applying natural language processing, large language models and machine learning to solve real business problems
• Familiarity with a wide variety of LLM architectures, including the GPT, Llama, Mixtral and Claude models
• Experience customizing LLMs for specific applications using fine-tuning techniques, (e.g. PEFT), RAG and prompt engineering is big plus
• Experience evaluating and benchmarking LLMs using frameworks such as Arthur Bench is big plus
• Experience with the entire AI software development cycle from design to deployment e.g. using frameworks such as LangChain is a big plus
• Experience with basic DevOps techniques, including CI/CD and infrastructure-as-code
• Experience working in at least one cloud environment. Familiarity with AWS is a big plus

Bonus points for:

• Research publications in leading journals and presentations at internationally renowned conferences
• Teaching experience and the development of training material for AI use-cases
• Experience developing models for named-entity recognition
• Financial industry experience, though this is not required for the role

Don’t have all the skills listed above? Have extra skills you think are important that we haven’t thought of? Please, let us know by applying and telling us a bit more about yourself and why you think you’re qualified!

KPMG in Singapore is part of a global organization of independent professional services firms providing Audit, Tax and Advisory services. We operate in 143 countries and territories with more than 273,000 partners and employees working in member firms around the world. Each KPMG firm is a legally distinct and separate entity and describes itself as such. KPMG International Limited is a private English company limited by guarantee. KPMG International Limited and its related entities do not provide services to clients.

Job Description

At KPMG, your long-term future is every bit as important to us as it is to you. That’s why our aim is to give you experiences that will stay with you for a lifetime. Whether it’s great training and development, working across functional sectors, mobility opportunities or corporate responsibility volunteering activities – you’ll gain a wealth of experiences on which to build a rewarding career. We’re proud of our culture – it’s one that recognises hard work, encourages new ways of thinking and embraces diversity and inclusion. We have an innovative spirit which inspires what we do and how we do it – striving to be better lies at the heart of who we are.

KPMG Cybersecurity professionals assist clients to address their concerns around Confidentiality, Integrity, Availability and Privacy of their technology, business systems, and information assets. Using a holistic view of how Technology and Business integrate, the Cyber team performs technology-risk focused assessments, technology compliance, IT/operational process reviews, and design of information risk & cyber security solutions.

Cyber team members regularly interact with C-Suite clients, such as Chief Executive Officer (CEO), Chief Information Security Officer (CISO), Chief Information Officer (CIO), Chief Operating Officer (COO), Chief Risk Officer (CRO) and their direct reports. Hence, a client centric mind-set, understanding of IT within a Business context, and well-developed communication skills are desirable.

The role involves:

• Engage with client stakeholders on Data protection Projects.
• Providing in-depth expertise of Data protection.
• Conducting discovery workshops for customers to understand their data protection measures and recommend improvements to their security posture.
• Work with customers to plot their cloud journey and advising them on their overall data protection requirements based on their data landscape.
• Working with KPMG Project and Customer resources to continue design and deployment activities and further enhance Data protection solutions for our customers.
• Working with customers and leading data protection vendors to design and build creative solutions.
• Working with team members, you will design and/or build solutions within large transformations, and you will perform reviews, assessments and build strategies for organizations looking to invest in Data protection.
• Assisting the engagement manager with the planning and delivery phases of engagements.

⠀

The ideal candidate should possess:

• Bachelor’s degree in Computer Science, Computer/Electrical Engineering, Information Technology or equivalent.
• A highly motivated individual in information security and excellent communicator with strong analytical and good problem-solving skills.
• Minimum 5 years of relevant experience working on Data protection technologies: Forcepoint, Proofpoint, Varonis, Zscaler, MSFT Purview
• Good understanding of Security strategy, assessment, and design and implementation and governance frameworks over processes, controls, organisation and infrastructure.
• Proven technical knowledge in Data Governance, Data classification, Data loss prevention, Insider threat, Data encryption, CASB etc.
• Good understanding of cloud platforms like Microsoft Azure, Google and AWS.
• Proficient in PowerShell and Python
• Strong understanding and hands-on experience with Windows OS, including Active Directory and DNS.
• Understanding of creating and managing virtual machines, EC2 instances, VNETs, VPCs, and access control management.
• Experience in implementing and managing firewalls, VPNs, and intrusion detection/prevention systems.
• Ability to respond to security incidents, conduct root cause analysis, and implement corrective actions.
• Familiarity with industry standards and regulations such as GDPR, HIPAA, or ISO 27001, Personally Identifiable Information (PII) ensuring compliance in security practices.
• Excellent business analysis experience in requirements gathering, modelling use cases and experience in business development in supporting new business offerings.
• Any relevant industry related certification will be preferred (e.g. CISSP, AWS , AZURE , Data protection product certifications etc.)

Only shortlisted candidates will be contacted by KPMG Talent Acquisition team, personal data collected will be used for recruitment purposes only.

At KPMG in Singapore we are committed to creating a diverse and inclusive workplace. We believe that diversity of thought, background and experience strengthens relationships and delivers meaningful benefits to our people, our clients and communities. As an equal opportunity employer, all qualified applicants will receive consideration for employment regardless of age, race, gender identity or expression, colour, marital status, religion, sexual orientation, disability, or other non-merit factors. We celebrate the different talents that our people bring and support every staff member in their journey to achieve personal and professional growth. One of the ways we do this is through Take Charge: Flexi-work, our flexible working framework which enables agile and innovative teams to help deliver our business goals.

Salary: Up to $3150

Duration: 6 months (extendible)

Location: Redhill

Working Hours: Monday - Friday Office Hours

Job Scope:

1. CAF-R certification

• Manage the CAF-R registry and tracking of CAF-R requirements

• Liaise with SSI on the updated list of CAF-R certified assessors, update CAF-R registry list, update AIC on the AHPC CAF-R certified assessors

• Broadcast to the SSAs and sped schools on the upcoming CAF-R training runs and mending the AD Service inbox on enquiries on CAF-R certification

2. Service matrix revamp and validation of info for IRR /EG

• Verify and confirm details in the list of adult disability services listed in IRR and Enabling Guide.

• Propose and design a new service matrix listing for Enabling Guide.

3. Admin support (GCTEF, ELP, DCMP, daily operations)

• Collate status and update status for pilot programmes on SSNet/ESMS

• Backend admin support for case coordination and Info and Referral

• Admin support for post sped applications (propose to get admin support for the administrative parts of applications)

4. Data management and cleansing for SSNet enhancements

• Assist with outreach efforts to SSAs for onboarding SSNet

• Aggregating and cleaning data from multiple data files and sources

• Data entry to ensure that adult disability services info or Conduct data cleansing and data patching for SSNet migration and transition

• Ensure referral applications remain updated

• Review data sets and provide inputs on insights derived from data

• Extension of current role- required due to the large bulk of legacy data that requires migration to the new system.

Requirement:

Minimum Diploma/Degree

• Ability to work with technologies and online systems

• Must possess knowledge and skill in MS Office

• Maintain confidentiality with certain information

• Organized, detail-oriented and able to prioritize multiple assignments

• Flexible with change and able to shift gears quickly

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]