Key Highlights

• Great exposure to the government sector
• Nearest MRT: Labrador Park
• Working Hours: Mon- Fri (office hours)
• Salary:  Up to $3,450 per month
• Contract Duration: 11 months

Key Responsibilities

Data Analytics

• Process raw data using basic Excel formulas and pivot tables.
• Organize and present data visually for analysis.

Tableau Dashboard Management

• Update and refresh existing Tableau dashboards.

Data Projects Support

• Prepare survey forms and consolidate survey data from various sources.
• Clean and organize data for analysis.

Program Operations Support

• Coordinate with stakeholders to ensure timely updates.
• Maintain CRM accuracy and compile data for documentation.
• Organize distribution of materials and logistics for community hubs across Singapore.

Key Requirements

• Only Singaporean!
• Bachelor's degree in Data Analytics, Business Administration, Information Technology, or a related field
• Strong knowledge of basic and intermediate Excel functions (e.g., formulas, pivot tables) to handle data.
• Familiarity with Tableau dashboard development, updating features, and performing data refreshes.
• 1 year of experience in data analytics, program coordination, or a related field is preferred.

Interested candidates please click "Apply Now". We regret to inform you that only shortlisted candidates will be contacted for further discussion.

Venice Kang
Outsourcing Team

BGC Group Pte Ltd

Registration No.: R23117645
EA License Number: 05C3053

WHO WE ARE:

Build. Scale. Sustain.

PALO IT is a global technology consultancy that crafts tech as a force for good. We design, develop and scale digital and sustainable products and services to unlock value across the triple bottom line: people, planet, profit. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.

• We are small enough to care locally, big enough to deliver globally (5 continents, 18 offices, +650 experts from +50 nationalities)
• We are robust and resilient (100% independent and 0 debt)
• We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
• We are positive, courageous, caring, doers and committed to excellence

YOUR 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 PALO IT 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

WHO YOU ARE:

• 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)
• You are passionate about technology and continuous learning comes naturally to you

We will be prioritizing applicants who have a current right to work in Singapore, and do not require sponsorship of a visa.

MORE ABOUT PALO IT:

We’re eager to adapt to change, learn from our experiences and move to meet our planet’s urgent needs. We are continuously taking action to:

• Become a climate net-zero company
• Attain 50% of revenue from projects with a positive impact
• Train 100% of our workforce on impact
• Achieve B Corp certification among all our offices across the globe
• Continuously measure & improve employee happiness

Our clients are amongst the world's most successful companies. We innovate with both established Fortune 1000s, SMEs and start-ups who aim to make an impact, become global leaders and address the world's most complex challenges.

What We Offer

• Stimulating working environments
• Unique career path
• International mobility
• Internal R&D projects
• Knowledge sharing
• Personalized training

For more on our team culture and benefits, check out our careers page.

PALO IT Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Palo IT SG does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

Protecting your privacy and the security of your data are longstanding top priorities for Palo-IT.

Your personal data will be processed for the purposes of managing Palo-IT’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

Please consult our Privacy Notice to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

Data Analyst

The successful incumbent will be responsible for establishing robust data processes (collecting, analysing, and interpreting) and maintaining data integrity in support of the company’s efforts towards leveraging high-quality data for decision-making.

· Ensures accuracy, completeness and data integrity by performing data validation, cleansing and normalization procedures.

· Manages and updates databases, data warehouses and data repositories to ensure data accuracy, consistency and accessibility.

· Performs data migration and standardization.

· Implements data validation and verification procedures by performing regular data audits and quality assessments.

· Recommends process improvements and best practices in data management.

· Collaborates with outsourcing team on data processing.

· Collaborates with stakeholders to define data requirements and KPIs for analysis.

· Develops and maintains Power BI dashboards to transform raw data into actionable insights.

Requirements:

· Bachelor of Science in Business Analytics or equivalent.

· At least 2 to 3 years of experience in master data management or similar.

· Proficient in Excel, SQL and data analysis automation.

· MSSQL & PL/SQL development experience is advantageous.

· Demonstrates strong data analytical and problem-solving skills.

· Proficient in data visualization tool especially in Power BI for creating reports and KPIs.

· Knowledge of business processes especially in purchasing activities or supply chain.

We regret to inform that only shortlisted candidate will be notify.

EA License No : 18C9228 REG No : R1324979 (Woo Kum Yoke)

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

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

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

About Us:

Aquila Ascension Academy is a dynamic and rapidly growing organization dedicated to empowering sales professionals with practical and transferable knowledge essential for success. We are looking for an enthusiastic and motivated individual to join our team as an Entry-Level Business Developer. If you have a passion for business development and a desire to grow with a forward-thinking company, we would love to hear from you.

Job Description:

As an Entry-Level Business Developer, you will play a crucial role in driving the growth and expansion of our business. You will work closely with our Financial Director and other team members to identify new business opportunities, build relationships with potential clients, and contribute to our overall sales and marketing strategies. This is a fantastic opportunity to kick-start your career in business development and gain valuable experience in a supportive and innovative environment.

Key Responsibilities:

• Market Research: Conduct research to identify new business opportunities, market trends, and potential clients.
• Lead Generation: Develop and maintain a pipeline of potential clients through various channels, including online research, networking, and cold calling.
• Client Relationship Management: Build and maintain strong relationships with new and existing clients to understand their needs and provide tailored solutions.
• Sales Support: Assist the sales team in preparing proposals, presentations, and other sales materials.
• Data Analysis: Analyze sales data and market trends to identify opportunities for growth and improvement.
• Collaboration: Work closely with the marketing team to develop and execute effective marketing campaigns.
• Reporting: Prepare regular reports on sales activities, progress, and results for management review.

Prerequisites:

• Education: Minimum A Level/Diploma in Business, Marketing, or a related field.
• Skills: Excellent communication and interpersonal skills, strong analytical and problem-solving abilities, and proficiency in Microsoft Office Suite. Sales experience would be an advantage.
• Attributes: Self-motivated, goal-oriented, and a team player with a strong desire to learn and grow in the business development field.
• Experience: Prior experience in sales, marketing, or business development is a plus, but not required.

What We Offer:

• Competitive Salary: $2,800 - $3,200 per month.
• Professional Development: Opportunities for training and career advancement within the company.
• Supportive Environment: A collaborative and innovative work environment that encourages personal and professional growth.
• Benefits: Annual leave, sick leave, maternity/paternity leave and other employee benefits.

SIA is recruiting Direct Entry Captains. To apply, you will need to meet the following requirements:

• Possesses a valid Class 1 Medical Certificate, recognized or can be validated by Civil Aviation Authority Singapore (CAAS)
• Holds a valid Air Transport Pilot Licence (ATPL), recognized or can be validated by CAAS.
• Minimum 7000 flying hours, inclusive of 3000 Pilot In Command (PIC) hours on commercial jets in international operations
• Able to speak and understand English with ICAO English Level 5 or above for inflight radio-telephony communications
• Minimum height requirement of 1.62m to carry out safety and emergency procedures on board

Selection Process

Applicants will undergo various stages during the recruitment process including (but not limited to) online application, interviews, simulator assessment and medical check-up.

Remuneration and Service Benefits

Upon employment, you will enjoy the following:

• A fixed annual salary package of 13 months
• Profit-sharing bonus based on the Company’s financial performance
• Variable allowances for productivity, meals, and transport
• 36 days of annual leave
• Travel benefits for yourself and eligible family members
  

Successful candidates will be placed on either the B737, B747 or B787 fleet.

Training and Bond

Where applicable, successful candidates will be trained to acquire an Aircraft Type Rating. Relevant training bond will be applicable.

‼️READY TO MAKE A CHANGE? ‼️

We are looking for the next driven, vibrant and talented individual to join us on our journey to SUCCESS

Data Collection & Analysis

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

Collaboration

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

Email: [email protected]

Whatsapp: 96503173

Telegram: @jesswongie

Jessie Wong Yuan Si

Personnel EA License No.: R2197171

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

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

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

Jobs Scope:

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

• Integrate Informatica IDMC for metadata management and data cataloging.

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

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

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

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

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

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

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

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

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

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

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

REQUIREMENTS

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

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

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

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

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

• Strong knowledge of SQL and NoSQL databases.

• Familiarity with data modeling and schema design.

• Excellent problem-solving and analytical skills.

• Strong communication and collaboration skills.

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

Responsibilities

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

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

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

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

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

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

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

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

Skills/Requirement

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

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

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

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

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

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

Responsibilities:

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

Requirements:

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

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

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

We regret that only shortlisted candidates will be notified.

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

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

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

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

We are seeking a skilled and motivated Data Engineer

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

Key Responsibilities

1. Data Pipeline Development

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

2. Data Analysis and Query Optimization

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

3. Big Data Ecosystem Management

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

4. Collaboration and Problem-Solving

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

5. Automation and Monitoring

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

6. Documentation and Compliance

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

Requirement/Skillsets:

Technical Skills:

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

Problem-Solving:

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

Communication:

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

Experience:

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

EA License: R1873481

Company EA License: 11C4879

Join Our Team at the School of Physical and Mathematical Sciences, Nanyang Technological University, Singapore

The School of Physical and Mathematical Sciences (SPMS) at NTU Singapore hosts research and education activities in two divisions: Division of Mathematical Sciences (MAS) and Division of Physics and Applied Physics (PAP). MAS covers diverse topics ranging from pure mathematics to the applications of mathematics in cryptography, computing, business, and finance. PAP covers many areas of fundamental and applied physics, including quantum information, condensed matter physics, biophysics, and photonics. Over the years, SPMS has attracted talented individuals from around the world and Singapore to join as scientific leaders and researchers.

We are looking for a highly motivated Research Assistant to join Associate Professor Xia Kelin's team at the School of Physical and Mathematical Sciences. The project focuses on integrating high-dimensional topological structures with advanced simplicial neural networks, and applying these methods to real-world data from dynamical systems.

Key Responsibilities:

• Contribute to the development and implementation of topological data analysis techniques such as simplicial neural networks, with application in real data sets from dynamical systems
• Perform data preprocessing, feature extraction, and analysis on large datasets
• Preparation of research papers, reports, and presentations to disseminate findings
• Participate in regular team meetings and contribute to the overall progress of the project

Job Requirements:

• A Bachelor’s degree in applied mathematics or related areas, with a strong background in topological data analysis (TDA) and machine learning on biomolecular data
• Experience with biomolecular data, particularly protein, DNA, and RNA data, knowledge of structural biology and protein modeling preferred
• Proficiency in programming languages such as Python, R, or similar
• Excellent analytical and problem-solving skills
• Ability to work both independently and collaboratively in a team
• Previous research experience and publication record in a related field preferred

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

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

AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help.

You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

The Data Center Infrastructure Operations Team forms the backbone of AWS, supporting the rapidly growing business and its customers 24/7. We are dedicated to maintaining AWS’s physical infrastructure while upholding the highest operational standards in safety, security, availability, productivity, capacity, efficiency, and cost-effectiveness. As a team member, you’ll collaborate with a diverse group of professionals, including software, hardware, and network engineers; supply chain specialists; security experts; operations managers; and other critical roles. Together, you’ll work across AWS to deliver the highest standards of safety and security while ensuring seemingly infinite capacity at the lowest possible cost for our customers.

In this role, you will be part of a team responsible for the operation and maintenance of state-of-the-art critical infrastructure facilities based in Singapore. You will collaborate with a world-class technical team, working alongside some of the brightest and most talented engineers in the data center industry. This position offers the opportunity to work with highly experienced professionals while developing your skills and advancing your career within one of the most innovative and progressive technology companies in the world.

Your responsibilities will include performing preventive maintenance on various facility equipment (such as electrical and mechanical, control, and fire-fighting systems), managing change processes, creating procedures, and overseeing vendor operations.

Key job responsibilities
• You will lead a team to plan and perform preventive and corrective maintenance of mechanical and electrical equipment’s, including but not limited to, chiller, air handling unit (AHU/CRAHU),fan coil unit (FCU), ventilation fan, split air conditioner (AC), pumps, leak detection systems, roller shutters, power distribution boards, UPS (Uninterruptible Power Supply)batteries, and generators.
• Develop site specific documents including Maintenance checklist, EOP, SOP and RA.
• Service report preparation and submission for preventive and breakdown maintenance works.
• Ensure safe keeping of hand tools and maintain good housekeeping.
• Ensure all works are carried out safely and/or in accordance with established standards, procedures & local legislation.
• Any other tasks, when required by the immediate manager.

Job Description:

• Must be a Diploma/Bachelor's Degree holder.

• Hands-on implementation experience in building full-stack Restful web Applications.

• Experience in the following domain area/Technology/Programming languages

• Communication/Data Protocols: Modbus, OPC UA/AD, IEC 101/104, TCP/IP, SFTP, MQTT, AMQP

• Programming languages: JavaScript, Python, C/C++, SQL

• Experience in Linux, Docker, PostgreSQL, And Firewall management

• Experience in Code Management and Deployment

• Certified in Microsoft Technologies will be an added advantage

• Knowledge in Azure Devops, Azure IOT and Azure sphere will be an added advantage.

Roles and Responsibilities:

• The candidate will be responsible for designing and implementing data acquisition solutions and systems that meet the requirements of our clients.

• The successful candidate will be expected to have strong problem-solving skills and be able to troubleshoot and debug complex issues.

• The candidate will also be responsible for developing and maintaining documentation for solutions, including design specifications and test plans.

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

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

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

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

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

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

Main Responsibilities:

Data Compliance Leadership:

· Develop and implement a scalable data compliance (including data privacy and protection) strategy and framework in one region, (one of: Japan and Korea, USA or EU).

· Lead external local legal resources on execution of strategy and framework to ensure compliance and the highest standard.

· Ensure compliance with international data laws and advise stakeholders on regulatory developments.

Local Entity Compliance:

· Ensure that all local legal entities operate in full compliance with the laws and regulations of the jurisdictions in which they are registered or operate.

· Oversee the maintenance of local entity registration, reporting, and other statutory obligations.

· Provide guidance and counsel to local teams on governance, regulatory reporting, and compliance with local labor, tax, and corporate laws.

· Coordinate with local legal teams and external counsel to ensure compliance with region-specific regulatory requirements, including business licenses, corporate filings, and corporate governance.

· Monitor changes in local laws and regulations, ensuring timely updates and compliance adjustments across all local entities.

Secondary Responsibilities :

Commercial Legal Support:

· Support commercial legal needs, including drafting, reviewing, and negotiating contracts with vendors, partners, and other stakeholders.

· Provide legal advice on upcoming commercial strategies and initiatives.

· Translate legal requirements into actionable, business-friendly policies that integrate seamlessly into product development, marketing, and operations.

Intellectual Property:

· Provide advice on intellectual property matters, including innovations and strategies that require IP protection.

· Oversee agreements involving IP licensing and commercialization.

Risk Mitigation:

· Establish proactive measures to manage and mitigate data-related and other commercial risks.

· Ensure operational data handling, governance, and contractual arrangements are robust, reducing exposure to legal and reputational risks.

· Translate legal requirements into actionable, business-friendly policies that integrate seamlessly into product development, marketing, and operations.

Requirements:

· Bachelor’s degree in law with admission to a recognized bar. Data Privacy certifications (e.g., CIPP/E, CIPM) are highly valued but not mandatory.

· 7+ years of experience with a strong focus on data privacy, data protection, and data compliance, with additional experience in commercial legal work.

· Well-versed in privacy laws across one or more jurisdictions: the US, EU, Japan, and Korea.

· Experience with commercial contracts and/or IP law is an advantage.

· Resourceful and capable of managing big-picture strategies while drilling into granular details as needed.

· Effective in utilizing and guiding overseas resources, including external counsel.

-------------

Send me your resume via WhatsApp ❤

WhatsApp: (https://api.whatsapp.com/send?phone=6592377799)

I regret to share that only shortlisted candidates will be notified. www.dadaconsultants.com

EA Registration Number: R22108564

Data provided is for recruitment purposes only

Business Registration Number: 201735941W.

Licence Number: 18S9037

Responsibilities

• Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
• Experience in designing application solutions in hadoop ecosystem
• Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
  HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
• Good knowledge in data warehousing system
• Experienced in any scripting language (SHELL, PYTHON)
• HortonWorks distribution and understanding on SQL engines (Tez, MR)
• Java/RestServices/Maven experience is a value addition
• Control-M development. Monitoring Resource utilization using Grafana Tool
• Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
• Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
• Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Be Transformational.

Make your mark. Create an impact.

At IRAS, we partner you to deliver quality tax services and foster a competitive tax environment for our nation's social and economic growth. By leveraging digital capabilities as part of a future-ready team, your opportunities keep expanding.

This role supports the cultivation of an insights-driven mindset amongst staff, work with partners to engineer data to transform and enhance business processes, and to deliver impactful data science/ artificial intelligence and data analytics solutions across the organisation.

[What you will be working on]

An officer in this role would be expected to handle one or more of the following areas of work as part of day-to-day responsibilities or as assignments:

• Setup/manage/troubleshoot small-scale cloud environments containing data processing, web applications, data science/AI components and services; manage day-to-day operations
  
• Setup/manage Continuous Integration and Continuous Deployment (CI/CD) pipelines, and manage container technologies i.e. Docker & Kubernetes
  
• Work with data scientists and data engineers to migrate/deploy and maintain data pipelines/analytics/artificial intelligence solutions (e.g. applications, models). This includes reviewing/updating/improving the codes that was initially developed by data scientists/engineers.
  
• Provide technical guidance to others on cloud infrastructure/services (including. networking/connectivity, security, performance), DevOps/MLOps
  
• Conduct research on emerging system/cloud architecture, technologies and systems.
  

[What we are looking for]

• Background in Computer Engineering, Computer Science, Mathematics, Software Engineering or equivalent fields
  
• Experience in managing/provisioning infra services, preferably Azure-based services within the context of Government Commercial Cloud. Familiarity in Terraform tool and Infrastructure as Code concept is a plus.
  
• Familiarity/experience in data engineering, data science/AI and web application-related cloud services/products.
  
• Familiarity/experience in frontend and backend, data engineering and data science/AI development process.
  
• 
  
• Familiarity in data query/science languages such as SQL, Spark and/or Python, or frontend framework (e.g. node.js).
  Meticulous and analytical
  
• Good interpersonal, verbal and written communication skills
  
• Resourceful and able to work independently in a team environment
  

Permanent, 5days, Paya Lebar

Our client

MNC in air conditioning ventilation system solution serving high tech industry

Job Scope:

• Plan and manage HVAC projects for data centers.
• Lead project meetings and collaborate with clients, consultants, subcontractors, and internal teams.
• Review project specs, drawings, and contracts for compliance.
• Monitor site progress and address any technical or operational issues.
• Prepare schedules, reports, and project documentation.
• Oversee procurement of materials and equipment.
• Ensure workplace safety, quality, and regulatory compliance.
• Conduct site inspections and guide the project team.

Requirements:

• Degree in Mechanical Engineering or a related field.
• Minimum 5 years of experience in ACMV/HVAC or related M&E projects.
• Familiarity with HVAC systems for data centers.
• Strong project management skills.

Work location :Paya Labar

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

For better response, pls apply via job page

https://recruitmentalliance.zohorecruit.com/jobs/Careers

click job opening, click relevant position

We regret that only shortlisted candidates will be notified

• Preparing business and sales reports for the team and management
• Data Management using excel, power BI
• SAP and other price system operations
• Assist in the Business planning and consolidation activities
• Perform numerical analyses for management and team as and when required assist in other ad-hoc analytics projects

Job Highlights

Salary: Up to $4200 per month

Contract Duration: 12 months

Working Location: Nearest to Caldecott MRT

Working Hours: Monday to Friday, normal office hours

Job Descriptions

R Programming:

• Develop reusable R scripts for data engineering, cleaning, transformation, and analysis
• Collaborate with researchers for code quality and consistency
• Implement statistical analysis and data modeling as required

Data Dashboard Development:

• Design and build interactive Power BI dashboards
• Work with stakeholders to identify key metrics and visualizations
• Ensure dashboards are user-friendly and aligned with business goals
• Regularly update dashboards with new data and features

Knowledge Sharing:

• Conduct Power BI workshops and training
• Create documentation and user guides for dashboards and R scripts
• Present insights to both technical and non-technical audiences
• Contribute to best practices for data analysts

Administrative Work:

• Assist with data collection and management
• Participate in team meetings and project planning
• Perform ad-hoc data analysis tasks as assigned

Job Requirements

• Only Singaporean need to apply.
• Degree in Psychology, Social Science or related field.
• Experience in qualitative and quantitative research methods
• Prior experience in using R is a plus!

Interested candidate please click ‘Apply Now’. We regret to inform that only shortlisted candidates will be contacted.

Yee Kar Seng

Outsourcing Team

BGC Group Pte. Ltd.

EA Registration No.: R22107286

EA License Number: 05C3053

Responsibilities:

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

Requirements:

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

(EA Reg No: 20C0312)

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

Only shortlisted candidates will be notified.