You will be working closely with the Business Lead and IT Team to support our regional data warehouse projects, playing an active role in requirements gathering and user acceptance testing. You will also be working closely with a team of junior actuarial data analysts to set up the company’s systems to process and consume bordereaux data provided by clients and provide extracts, reports and business insights to down-stream users.

Your Role:

• Assess data quality in the region and for the robust processing of data
• Provide actuarial and business input to the IT Team during requirement-gathering exercises
• Use actuarial and systems knowledge to assess proposed IT solutions
• Plan, support and actively manage the User Acceptance Testing of system changes
• Set up the regional systems to consume the data provided by selected cedents
• Support other members of the Data Team in expanding their actuarial and insurance knowledge
• Liaise with local offices throughout the region, as and when necessary
• Support the change management function in relation to data systems and processes
• Work with other members of the Data Team to analyse available data and to develop dashboards and reports, communicating relevant insights to senior management

Your Profile:

• Nearly-qualified / recently-qualified actuary with 5 to 10 years of experience in life reinsurance
• Thorough understanding of life insurance principles and products in the region
• Proven knowledge and hands-on experience in managing and contributing to IT projects,
• Possess technical computing skills such as SQL and Data Services
• Good analytical abilities and proficient in resolving challenges
• Fluent in English (both verbal and written business level)

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 centre of this interaction is each of us.

Job Description

We are seeking a Junior Consultant for a short-term project, based onsite at the client's office in Changi Business Park, Singapore. This position is ideal for individuals with a few years of experience, who are comfortable working in a bilingual environment (English and Mandarin). The consultant will receive training and will have access to reference materials and Standard Operating Procedures (SOPs) to assist with project tasks.

Key Responsibilities

• Application Usage:
  • Efficiently utilize the client's in-house application as a primary tool for project-related tasks.
  • Conduct searches and gather information using tools such as Google/Baidu and Ripjar Lexis Nexis.
• Data Processing:
  • Support data processing and analysis efforts, ensuring accuracy and adherence to provided SOPs.
• Collaboration:
  • Work collaboratively within the team and communicate effectively in both English and Mandarin to facilitate seamless information exchange.
• Onsite Operations:
  • Perform project activities onsite at the client’s location to meet time-sensitive requirements.

Qualifications

• Experience: A few years of relevant experience, preferably in consulting or data-related projects.
• Language Skills: Proficiency in both English and Mandarin for effective communication and data processing.
• Technical Skills: Basic familiarity with:
  • Google/Baidu search engines
  • Ripjar Lexis Nexis
  • Client’s in-house application (training provided)
• Other Skills: Strong attention to detail, ability to follow SOPs, and adaptability to learn new tools and processes quickly.

Additional Information

• Training: Provided onsite, with access to detailed SOPs and other reference materials.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the Tech Aalto Privacy Policy, a copy of which is published at Tech Aalto’s website (https://www.techaalto.com/privacy/)

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

About the company
Our client is a renowned leading insurance company.

About the job
This role supports the Regulatory Compliance team, with a focus on data protection, and requires close collaboration with senior management and other business units. The key responsibilities include:

• Ensuring compliance with PDPA by monitoring data policies, identifying risks, and managing privacy documentation.
• Conducting audits, addressing data protection issues, and managing data breach incidents.
• Serving as a contact for data privacy queries, promoting compliance culture, and providing regulatory advice and training.
• Developing compliance programs and addressing any non-compliance areas.

Skills and experience required

• At least 5 years of experience in regulatory compliance, particularly in data protection.
• Strong written and verbal communication skills, and ability to present complex ideas.
• Possess strong understanding of insurance regulations.
• Excellent analytical, negotiation, influencing, and relationship-building skills.
• Self-motivated, independent, adaptable, and strategic thinker able to work with minimal supervision.

To apply online please use the 'apply' function, alternatively you may contact Lynette Lim.
(EA: 94C3609/ R1435181 )

Responsibilities

(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.

(g) Monitor compliance of cloud resources to see if they fit industry guardrails and best practices.

(h) Help other development and engineering teams resolve application to platform integration issues for Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) services.

(i) Research and propose solutions for AWS data transformation, data connections, operational frameworks, and application integration.

(j) Work closely with lead architects and engineers to create and maintain architectural templates and build/operational documents.

(k) Work with DevOps and engineering teams to develop service catalogues.

(l) Assist in vendor management to ensure contracted vendors deliver solutions that is architecturally sustainable and scalable.

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 Architect.

Internal ref: S- To be uploaded

Regards,

Lini

Recruitment Consultant

R22108463

Role: Contract (1 year, Renewable)

Position: Big Data Support Engineer

Mandatory Skills: Big Data, Data pipeline, Apache and Hadoop

Experience: 6 - 8 yrs

POSITION GENERAL DUTIES AND TASKS:

- Strong in data engineering concepts and programming

- Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.

- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

- Strong analytic skills related to working with unstructured datasets.

- Experience in supporting data transformation, data structures, metadata, dependency and workload management.

- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

Key Responsibilities:

• Design, develop, and maintain robust data pipelines using PySpark, Dagster, Sqoop, Flume, and Informatica to extract, transform, and load data from various sources to target systems.
• Work with Teradata Utilities and DataStage for ETL processes and optimize data workflows for scalability and efficiency.
• Develop and maintain applications using C#, ASP.NET, and MVC frameworks for data-driven applications and web solutions.
• Work collaboratively with other software developers to integrate backend data solutions with web and application services.
• Use Python libraries (Pandas, NumPy) to clean, manipulate, and analyze large datasets, providing valuable insights to business units.
• Develop, optimize, and troubleshoot complex data transformations and aggregations to support analysis and reporting.
• Build, manage, and optimize data visualizations using Tableau, Power BI, Qlik Sense, and SSRS to empower stakeholders with insightful, actionable data.
• Create customized dashboards, reports, and interactive visualizations to communicate key performance metrics and business insights.
• Leverage knowledge of Teradata and other databases for query optimization, data extraction, and integration.
• Work with distributed computing environments (e.g., PySpark) to process large datasets and support advanced analytics.
• Ensure data quality and consistency across all data sources and pipelines, applying best practices for data governance.
• Perform data audits and implement monitoring solutions to detect and resolve data discrepancies and issues.
• Partner with data scientists, analysts, and business stakeholders to understand data needs and provide high-quality solutions.
• Communicate technical solutions and data insights effectively to non-technical stakeholders.

Qualifications:

• Bachelor’s degree in computer science, Information Technology, Data Science, or a related field.
• 3+ years of experience in data engineering, software development, or data analysis roles with expertise in the specified technologies.
• Proficiency in Python (Pandas, NumPy, PySpark) for data manipulation and analytics.
• Strong skills in C#, ASP.NET, and MVC for application development.
• Experience with ETL tools like Dagster, Informatica, Sqoop, Flume, and DataStage.
• Familiarity with big data technologies, including Spark and Teradata Utilities.
• Strong experience with Tableau, Power BI, Qlik Sense, and SSRS for reporting and dashboard development.
• Experience with Teradata, SQL Server, or similar relational databases for efficient querying and data extraction.
• Knowledge of data quality, governance, and data lifecycle management best practices.

Savita Rai

EA REG NO: R1873418

EA License No:23C2060

Disclaimer: The company is committed to ensuring the privacy and security of your information. By submitting this form, you consent to the collection, processing, and retention of the information you provide. The data collected (which may include your contact details, educational background, work experience and skills) will be used solely for the purpose of evaluating your qualifications for the position you're applying for. Your data will be stored securely and retained for the duration necessary to fulfill our hiring process. If you are not selected for the position, your data will be kept on file for a limited period in case future opportunities arise. You have the right to access, correct, or delete your data at any time by contacting us at Quess Singapore | A Leading Staffing Services Provider in Singapore (quesscorp.sg)

Role: Solution Architect (Data Analytics)

Responsibilities

(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.

(g) Monitor compliance of cloud resources to see if they fit industry guardrails and best practices.

(h) Help other development and engineering teams resolve application to platform integration issues for Platform as a Service (PaaS) and Infrastructure as a Service (IaaS) services.

(i) Research and propose solutions for AWS data transformation, data connections, operational frameworks, and application integration.

(j) Work closely with lead architects and engineers to create and maintain architectural templates and build/operational documents.

(k) Work with DevOps and engineering teams to develop service catalogues.

(l) Assist in vendor management to ensure contracted vendors deliver solutions that is architecturally sustainable and scalable.

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.

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 Architect.

If you are keen to explore the above role, please send across your updated resume to [email protected] and we can discuss to proceed further.

EA Personnel Registration Number: R1112410

Singapore Employment Agency Licence No: 11C3373

As a marketing data analyst with a strong background in data analysis, you will report to the Head of Digital Marketing in MSIG Asia. You will work with local marketing teams in business units (BUs), which are insurance companies in countries and territories in the region, to analyse customer data, identify marketing opportunities, and track campaign status. You will play a pivotal role in bridging the gap between raw data and strategic marketing actions. With your expertise in marketing analytics, you will support campaign design and execution, reporting and tracking end-to end campaign funnel, and reviewing campaign effectiveness.

Key Responsibilities

• Data Analysis & Insights: Use data to uncover actionable insights, optimise campaigns, and inform strategic decisions across our marketing initiatives.
• Campaign Optimisation: Develop and apply data models to optimise performance marketing channels (e.g., social media, email campaigns, website analytics). Monitor and evaluate the effectiveness of marketing campaigns.
• Reporting & Visualisation: Utilise statistical tools and techniques to analyse data and generate actionable insights. Provide insights and recommendations to improve customer acquisition, retention, and engagement.
• Collaboration: Partner closely with marketing teams in the BUs in the region to design and implement data-driven marketing strategies and integrate data insights into business strategies.
• Customer Segmentation: Leverage customer data to drive segmentation strategies and targeted marketing efforts, focusing on personalisation and customer journey enhancements.

Requirements

• 7+ years' experience working within a similar role in digital marketing with a focus on data analytics in any consumer products and service industry is required. Solid understanding of digital marketing channels, metrics, and optimisation techniques.
• Proficiency in data analytics and visualisation tools (Excel, Google Analytics, Power BI, Tableau, etc.)
• Experience with SQL, Python is a plus
• Familiarity with CRM systems (e.g., MS Dynamics, Salesforce)
• Understanding of insurance or financial marketing principles and practices is preferred.
• Experience working with large datasets and knowledge of data warehousing.
• Ability to understand a system architecture, a company system architecture and the best practices of other companies, and to consider and promote sustainable architecture.
• Knowledge of statistics required to understand and utilise internal and external data. This includes understanding testing and statistical analysis methods, as well as having practical knowledge to optimally apply these methods.
• Ability to transform complex data into actionable insights that drive business decisions.
• Strong communication skills, with the ability to present findings and recommendations to non-technical stakeholders.
• Team player with the ability to collaborate cross-functionally and lead cross-functional projects.
• Highly organised and detail-oriented, with strong problem-solving skills and ability to adapt to deadlines.

Responsibilities:

• Data Centre Operations & Maintenance:Lead 24/7 operations, ensuring compliance with all regulatory and operational standards, and maintain uptime and system availability.
  Oversee facility infrastructure, including power, cooling, security, and network management to support high-density, mission-critical environments.
  Conduct regular inspections and proactive maintenance to prevent disruptions.
• Cluster Supply Organisation Collaboration:Engage actively in a cross-functional team structure, working with agile methods that support rapid, flexible responses to changing conditions and customer needs.
  Embrace iterative development practices, continuously enhancing products and services to deliver valuable functionalities to customers.
• Team Leadership & Development:Lead a team of data center technicians and engineers, guiding skill development, encouraging accountability, and fostering a “fail fast” approach to enable rapid correction and adaptation.
  Share specialized knowledge across cells and chapters, maintaining open communication for regular, timely feedback.
• Strategic Planning & Process Improvement:Coordinate data center activities, including system installations, upgrades, repairs, and maintenance, aligning with the bank's digital strategy.
  Manage the full product lifecycle, taking quality, compliance, and customer needs into account.
  Implement agile quality assurance and risk management frameworks to ensure secure, reliable operations.
• Capacity & Resource Management:Anticipate capacity needs, optimize space, power, and cooling, and manage a budget to ensure cost efficiency while maintaining performance standards.
  Organize and prioritize regular tasks, using a proactive approach to risk, compliance, and resource management.
• Security & Compliance:Ensure physical and data security, maintaining compliance with regulatory standards (e.g., PCI-DSS, ISO 27001) and internal policies.
  Coordinate disaster recovery (DR) and business continuity (BC) planning, ensuring frequent failover testing and readiness.
• Vendor & Stakeholder Engagement:Manage relationships with vendors and service providers, ensuring adherence to service-level agreements (SLAs).
  Liaise with IT and business stakeholders to align data center activities with broader business goals.

Requirements:

• Degree in Computer Science, Engineering, or a related field
• Financial Services experience is a must
• Minimum of 7 years in data center operations
• At least 4 years in a management role in the banking or financial sector.

• 8 years of expertise in ETL, Data Warehousing, and Big Data technologies. The candidate should have a strong background in IBM InfoSphere DataStage, Oracle PL/SQL, Unix Scripting, and hands-on experience with Moody’s tools.

• The role requires in-depth knowledge of data extraction, transformation, and loading (ETL) processes, as well as experience with CI/CD and automation tools to support efficient data operations. This is an opportunity to contribute to large-scale data projects and work closely with cross-functional teams in a challenging and dynamic environment.

• Design, develop, and maintain ETL processes using IBM InfoSphere DataStage (versions 8.1, 8.7, and 11.3).

• Build and optimize parallel jobs to clean, transform, and load data into target databases.

• Implement robust solutions for data extraction and transformation from various sources including flat files and RDBMS.

• Configure and manage job scheduling and automation using tools like Control-M and Autosys.

• Develop shell scripts and use Unix commands to enhance ETL performance and streamline data processing.

• Ensure efficient job execution, error tracking, and troubleshoot performance issues.

• Use Moody’s tools (RCO, RAY, RFO) to support liquidity, risk management, and financial reporting projects.

• Troubleshoot and resolve issues related to GL recon breaks, ALM/LIQ stress processes, and LCR processes.

• Support Big Data solutions by working with core Spark (batch processing) and Spark SQL using Scala.

• Use Hadoop technologies like HDFS, Hive, and Sqoop for large-scale data migration and analysis.

About the role and your skillset:

• Possess a degree in Computer Science/Information Technology or related fields.
• Experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Able to handle data issue management.
• Proficient in Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Provide documentation support in technical/functional specifications.
• Possess investment data domain knowledge.
• Good problem solving and logical thinking.

EA License Number : 11C4879

Requirements

• Diploma/ Degree with 2 years related working experience in MNC environment
• Proficiency in Microsoft Suite, Advanced Excel (VLOOKUP, Pivot table), Power BI, Tableau
• Critical/problem solving mindset to improve workstreams
• Team player and independent worker with minimum supervision

Responsibilities

• Execute data entry from multiple sources
• Handle complexity in data sets
• Able to conclude and report data sets
• Data acquisition
• Data maintenance, storage and transmission
• Data Entry Analysis
• Identify and map the data flow require in supply chain
• Create reports from consolidated data
• Communication and collaboration skills across multi-functional teams across multiple locations and timezones

Work Schedule/ Location:

• 5 Working Days (Monday – Friday)
• Walking distance from Buona Vista MRT Station

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

We regret to inform that only shortlisted candidates would be notified.

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Responsibilities:

• Collaborate closely with data stewards, data analysts, and business stakeholders to design, implement, and maintain data solutions that meet business needs.
• Develop robust, scalable data ingestion and data management solutions, handling both batch and streaming data using Python.
• Participate in the full SDLC (Software Development Life Cycle), including requirements gathering, design, development, testing (SIT and UAT), and deployment through CI/CD for new and enhanced data ingestion pipelines.
• Ensure adherence to IT security standards, policies, and procedures throughout data solution development and deployment.

Key Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in developing and supporting data ingestion pipelines.
• Hands-on experience with data platforms, especially Snowflake.
• Proficient in SQL and Python for data processing and analysis.
• Experienced in CI/CD practices and deployment pipelines.
• Strong knowledge of SDLC methodologies and data warehousing concepts.
• Excellent problem-solving and troubleshooting abilities.
• Strong interpersonal and communication skills for effective collaboration with cross-functional teams.
• Proven ability to design, implement solutions, and conduct code reviews.
• Agile mindset, quick to learn, and adaptable to changing requirements.
• Experience working in cloud environments (e.g., AWS).

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [email protected] with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Morgan McKinley Pte Ltd

EA Licence No: 11C5502 | EAP Registration No: R2095054

Summary:

• Over 10+ years of IT work experience with 8+ years of relevant experience in the field of Big Data/ Hadoop ecosystem/ Java, Python/ Spark/ Databricks-related technologies. With 5+ years of experience in any of the database management systems with strong development knowledge.
• Data Architect familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical and analytical techniques. Highly organized, motivated and diligent with significant background in Data Engineering/Data Architect. Transformation- skillset.
• Meticulous Data Architect accomplished in compiling, transforming and analyzing complex information throughout software. Expert in Python or any programming language using large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.
• Astute Data Engineer/Data Specialist with a data-driven and technology-focused approach. Communicates clearly with stakeholders and builds consensus around well-founded models. Talented in writing applications and reformulating models.
• Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level Data Engineer/Data Scientist position. Ready to help the team achieve company goals.
• Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy. To seek and maintain a full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.
• Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.

• Design, develop, and maintain scalable ETL/ELT workflows using Spark, SQL, and Python on the Azure Databricks platform.

• Build and optimize data pipelines on the ADA platform to support advanced analytics and business intelligence.

• Import and process metadata and data from multiple sources (e.g., S3 buckets) to support reporting and analytics.

• Implement data quality checks, data validation, and ensure accuracy in processed data.

• Hands-on experience in cloud services (Microsoft Azure) and data warehousing.

• Proven experience in predictive modelling, analytics, and creating dashboards for KPI tracking.

• Programming Languages: Python, Scala

• ETL Tools: Informatica, SAS

• Database Management: Oracle, MySQL, MS SQL Server, MongoDB

• Scripting: SQL, PL/SQL

• Development Tools: Eclipse, IntelliJ, Jupyter Notebook, Notebook

• Version Control and Build Tools: Maven, SBT, Git

• Methodologies: Agile, Scrum

• Operating Systems: Windows, Unix, Linux

• Microsoft Cloud Services: Azure Databricks, Azure Data Factory, Azure SQL Data Warehouse, Azure Data Lake Storage, BLOB Storage

We are seeking a motivated and detail-oriented Data Entry and Dashboard Specialist to join our team on a temporary basis for 1-3 months. The ideal candidate will have advanced skills in data management and dashboard creation, playing a crucial role in supporting our data analysis and reporting efforts.

Responsibilities:

· Perform accurate and timely data entry tasks.

· Create and maintain dashboards using Microsoft Excel and other data visualization tools.

· Collaborate with cross-functional teams to gather and analyze data requirements.

· Ensure data integrity and consistency across various platforms.

· Assist in the development and implementation of data management processes.

· Conduct data quality checks and troubleshoot data discrepancies.

· Support ad-hoc data analysis requests as needed.

Qualifications:

· Bachelor degree in Business, Information Technology, Data Science, or a related field. (Polytechnic graduates with relevant internships or stints in the semiconductor industry are also welcome.)

· High proficiency in Microsoft Office tools, including Lists, Excel, PowerPoint, Word, and Pivot Tables.

· Experience with data visualization tools such as Power BI or Tableau is a plus.

· Excellent attention to detail and organizational skills.

· Strong analytical and problem-solving abilities.

· Ability to manage multiple tasks and meet deadlines.

· Effective communication skills

Jessie Hoe Huey Miin

CEI R1103861

EA: 99C4599

Summary :

• Basic up $2500
• 5 days, 815am-6:00pm
• Entry Level are welcome to apply, training is provided
• Industry : Manufacturing/Electrical & Electronics
• Company with great career growth

Job Scope :

• Lead and manage a team in testing low-voltage switchboards and power distribution boards.
• Ensure all testing checklists are accurately completed and signed off.
• Create and deliver training on safety, testing, and troubleshooting for new employees or products.
• Conduct Factory Acceptance Tests (FAT) and Factory Witness Tests (FWT) with clients, following the Method of Statement (MOS).
• Manage the calibration, defect reporting, and maintenance of tools and equipment in the Testing Department.
• Provide input to the Quality and Project Management Teams as needed.

Job Requirement:

• Candidates with related experiences and background studies are welcome to apply

To Apply, kindly click on the "APPLY NOW" button

We regret that only shortlisted candidates will be notified.

Staffking Pte Ltd (20C0358) | Jasmine Wong (R22107578)

Job Description

• Industry/ Organization Type: Telecommunication Services
• Position Title: Facilities Technician (Data Center)
• Working Location: New Tech Park & Techlink
• Working Hours: Rotating 8-hour shifts
• Salary Package: Basic Salary + Shift Allowance ($300) + Variable Bonus + Medical & Flexi Benefits
• Duration: Permanent

Key Responsibilities

• Maintain and service building facilities, including electrical and mechanical systems.
• Perform minor repairs and improvements to buildings and equipment.
• Conduct routine preventive maintenance on building systems and infrastructure.
• Manage and oversee contractors and vendors to ensure cost-effective, quality repairs and maintenance.
• Provide engineering support during weekends, public holidays, or extended hours when necessary.
• To standby 24 hours on duty roster (will provide additional standby allowance).

APPLY NOW!!!

• Minimum ITE Certificate/Diploma in Mechanical/ Electrical Engineering, Facilities Management or related fields.
• With hands-on skill set in mechanical (ACMV) and electrical systems, with proficiency in maintenance, troubleshooting, and repair.
• Prior work in critical environments like Data Centres, Cleanrooms, or Semiconductor plants is an added advantage.
• Effective communication skills and ability to work as part of a team.
• Competent in using Microsoft Excel and Word.
• Good understanding of facility M&E (Mechanical & Electrical) systems.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #64875 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Marine Service Engineer

Office location : Boon Lay
Working Location: On board ship

Working days : 5 days (Mon- Friday)

Working hours : 8am - 5pm

Salary : $2,000-$2,800 basic + OT + Allowances (Gross Salary $3,000 - $4,000)

Interested applicants can also send your resume to WA:+65 8839 3566 (Ms Angel) and allow our Consultant to match you with our Clients.

No Charges will be incurred by Candidates for any service rendered.

LIEW ONN KEE REG NO : R22108518

THE SUPREME HR ADVISORY EA NO:14C7279

Job Description

• Conduct periodic inspections, repair, service and maintenance of marine equipment to ensure reliable
  operation.
• Collaborate with clients and superintendents to deliver quality services efficiently.
• Generate reports and present findings to relevant personnel.
• Provide remote troubleshooting support through emails, ensuring customer issues are resolved promptly to maintain high satisfaction levels.
  
  Requirements:
• Diploma in Engineering or equivalent (Electrical/Electronics/Mechanical/Mechatronics).

Job Responsibilities:

• Provide Technical Support services including: Data Centre operations, equipment maintenance and service provisioning
• Manage multiple concurrent interdisciplinary projects and ability to work in a team
• Lead, manage/support and deliver the Data Center related initiatives with coordination with both external and internal stakeholders
• Collaborating with internal stakeholders to design/define and develop the SOP for Data Center services and in-house machine rooms
• Asset and Inventory management within Data Center and in-house machine rooms
• Support Data Centre/Machine rooms related audit duties, record validation and housekeeping work
• Incident handling, problem troubleshooting and escalation to upper tier
• Organize and co-ordinate Business Continuity Activities/Drill
• Maintain accurate records, document all problems, and prepare reports
• Maintain accurate IT Asset inventory/records and prepare reports
• Ad-hoc duties as assigned

Job Requirements:

• Min 10 years of experience in Data Center industry and operations
• Experience in DC Design Engineering, Project management and implementation
• Experience with professional consultant in planning and executing Engineering studies.
• Bachelor degree or in Mechanical / Electronic or Industrial Engineering or related disciplines
• Experience working with external vendors
• Customer focus with good communications and interpersonal skills
• Good communication in English speaking and writing
• Discipline, self-initiative, self-motivate

We regret to inform that only shortlisted candidates will be notified.

Job ID: 10067768

• Position: Tea Barista
• 1) Trainee Salary : $2000
• 2) Tea Barista $2500-$2700
• 3) Senior Tea Barista -$3000
• 5days work week : 44 hour
• Location :Islandwide

Interested applicants can also send your resume to WA: +65 8016 4051 (Ms Lynne) and allow our Consultant to match you with our Clients. No Charges will be incurred by Candidates for any service rendered.

TAN LEE XIAN Reg No: R24123487

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Responsibilities & Duties
- Assist to do bubble tea order
-Arrange manpower and supervisors and provide training to staffs.
-Take care of the quality and hygiene of the shops.
-Make sure the service to customers are satisfactory.
-Order materials and keep track of stock inventory.
-Oversee daily operations and implement rules, regulation and SOP set by the management

Highlights

• Training Provided
• Polyolefin/ Plastic (PP, PE, PVC)
• Oversea Travel
• Korean speaking would be advantages to liaise with Korean clients

Job Scope

• Handle Sales for Polyolefin (PP/PE/PVC) globally
• Coordinating Shipping operation
• Monitoring Sales and Collect Payment for all the business order and transaction
• Prepare weekly & Monthly Report

Requirement

• Training provided or minimum sales experience
• Product: Polyolefin/ Plastic (PP, PE, PVC)
• Willing to Travel (Oversea)
• Basic Knowledge on Microsoft Knowledge include Word, Excel, PowerPoint
• Advantages: Korean speaking to liaise with Korean parties

HOW TO APPLY:

Interested applicants, please email to “[email protected]”.

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).
Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd
EA License No: 19C9950
EA Personnel: Pierre Chung Yih Shern
EA Personnel Reg No: R22111092

Responsibilities

· Provide administrative support to the Department.

· Coordinate department and project activities, and prepare documents required

· Manage administrative and operational duties like scheduling, arranging and facilitating meetings

· Proper documentation of records

· Management of department’s inventory and equipment

Requirements

· GCE ‘N’ / ‘O’ / ‘A’ Levels or Diploma Holders

· Good organisational and administrative skills

· Good interpersonal, verbal and written communication skills

· Proficient in Microsoft Outlook, Word and Excel

· Good team player, have an eye for details and ability to multi-task

If you are interested in the position, do kindly drop your most updated resume to [email protected]

Esther Lim Suk Hui

R1872808

Recruit Express Pte Ltd (Healthcare & Lifesciences Division)

EA License: 99C4599

Duration: 2 Months

Location: Potong Pasir

Working hours: 8.30am to 5.30pm (Mondays to Fridays)

• Efficiently handling data entry tasks while also being able to call up clients for information verification
• Accurately entering data into systems
• Contacting clients to verify information
• Other ad hoc duties assigned

Interested applicants please send your resumes to [email protected]

Jessica Nguyen Huynh Thanh Truc
Recruiter (R23113787)
EA License No. 99C4599

We regret that only shortlisted candidates will be notified.