Responsibilities

• Design and develop smart manufacturing and AI solutions in advanced factory scheduling, optimization and simulation that enable the achievement of industry leading manufacturing capability.
• Develop high-quality data analytics and applications that provides actionable insights for management and manufacturing teams.
• Explore and apply new frontier ideas, concepts and technology to enable breakthrough solutions at Micron.
• Work with management, different departments, and global manufacturing sites to identify optimization opportunities and deliver solutions to continuously improve production metrics.
• Drive global collaboration, alignment, and benchmarking of scheduling and simulation solutions.

Requirements

• Possess a drive to make a difference and a passion for exploring new frontiers.
• Highly motivated, proactive, with a strong work ethic, able to work independently and collaborate effectively with diverse teams.
• Strong problem-solving skills with logical approach.
• Masters/Bachelor’s degree in Industrial Engineering, Operations Research, Computer Science, Computer Engineering, Data Science, other technical disciplines, or equivalent professional work experience.
• Proficient in C#, Python and SQL.
• Knowledge and experience in optimization and CPLEX/Gurobi strongly preferred.
• Knowledge and experience in reinforcement learning, machine learning and deep learning preferred.
• Direct experience with factory scheduling, simulation, and application development preferred.
• Knowledge and experience with GCP, Snowflake, Visual studio, GIT, Azure DevOps preferred.
• Able and willing to travel overseas

Mandatory Skills

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Fluency in written and spoken English, with strong communication and interpersonal skills.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:

· Python development.

· Hadoop platform (Hive, HDFS, Spark).

• 3–5 years of experience in:

· Unix shell scripting.

· SQL development.

• 2–3 years of experience in Spark programming.

Mandatory Skills

Key Responsibilities

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Essential Skills & Prerequisites

• Bachelor’s/Master’s degree in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject, with 6 years of relevant experience.
• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Designing and developing applications using Python.
• Working on the Hadoop platform (Hive, HDFS, and Spark).
• 3–5 years of experience in Unix shell scripting and SQL.
• 2–3 years of experience in Spark programming.
• Knowledge of microservices architecture and cloud computing is an advantage.
• Familiarity with Java and Scala is beneficial.

Desired Skills

• Additional experience in developing service-based applications.
• Excellent analytical skills, including proficiency in MS Office and the ability to produce board-level documentation.
• Fluency in written and spoken English, with strong communication and interpersonal skills.
• Self-starter with the ability to meet challenging personal targets and maintain a big-picture outlook with attention to detail.
• Understanding of current technologies used by Tier 1 Investment Banking Institutions.
• Team-oriented mindset.
• Advantageous experience includes:
  • Working in the financial or banking industry.
  • Knowledge of Avaloq, Windows Batch Scripting, T-SQL, and Python.

Mandatory Skills Summary

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:

· Python development.

· Hadoop platform (Hive, HDFS, Spark).

• 3–5 years of experience in:

· Unix shell scripting.

· SQL development.

• 2–3 years of experience in Spark programming.

Senior Data Engineer

Institution: National Healthcare Group
Family Group: Administration

The Senior Data Engineer leads the creation, maintenance, and strategic development of our advanced data analytics infrastructure, which is vital to the hospital's data-driven decision-making processes. This role oversees the acquisition, storage, retrieval, and optimization of data from various sources to support clinical, operational, and research initiatives. The position directly supports the work of the Group Chief Data Officer (GCDO) for Data Analytics and provides leadership to the data engineering team.

Leadership and Management:

• Lead and mentor a team of data engineers, fostering their professional growth and ensuring high-quality deliverables.

• Develop and implement best practices, standards, and architectural decisions for data engineering processes.

• Collaborate with cross-functional leadership to align data engineering strategies with organizational goals.

• Drive innovation in data engineering practices and technologies within the organization.

Strategic Planning and Execution:

• Develop and execute the long-term vision for the data engineering function, aligning with the institution's overall data strategy.

• Identify opportunities for process improvements and automation to enhance team efficiency and data quality.

• Manage resource allocation and capacity planning for data engineering projects.

Data Sourcing and Collection:

• Oversee the identification and evaluation of source systems.

• Guide the team in gathering requirements on frequency, volume, and types of data.

• Ensure robust data privacy and compliance measures are in place, liaising with legal and compliance teams as necessary.

Data Ingestion and Architecture:

• Lead the design and implementation of scalable, efficient data ingestion pipelines using Informatica IDMC, Spark, and Python.

• Establish architectural standards for reliability and fault tolerance of ingestion pipelines.

• Oversee data transformation strategies during ingestion.

• Manage vendor relationships and collaborations for data ingestion projects.

Data Lake Management and Integration:

• Direct the structuring of data in the DataBricks Lakehouse to ensure optimal usability and performance.

• Oversee data partitioning, indexing, and archival strategies.

• Lead integration efforts with DataBricks Lakehouse, ensuring seamless accessibility for data scientists and analysts.

Data Quality, Validation, and Security:

• Establish comprehensive data quality frameworks and validation protocols.

• Implement and oversee security measures, including access controls, data encryption, and regular audits.

• Collaborate with compliance officers to ensure adherence to healthcare data regulations.

Performance Management and Optimization:

• Set and monitor KPIs for data ingestion pipeline performance.

• Lead optimization efforts to meet and exceed SLAs.

• Conduct regular performance reviews and implement improvement strategies.

Strategic Collaboration and Communication:

• Serve as the primary liaison between the data engineering team and other departments, including data science, business analytics, and IT.

• Present data engineering strategies, progress, and challenges to senior management.

• Foster a culture of knowledge sharing and continuous learning within the team.

Qualifications:

• 8+ years of experience in data engineering, with at least 3 years in a leadership role.

• Strong technical expertise in data engineering tools and technologies, including Informatica IDMC, Spark, Python, and DataBricks.

• Excellent communication and interpersonal skills, with the ability to influence and collaborate across all levels of the organization.

Nice to Have:

• Proven track record of successfully leading data engineering projects in a healthcare setting.

• Advanced knowledge of healthcare data standards, privacy regulations, and compliance requirements

INFORMATION:

As a Data Center Segment expert, the Sales Engineer is responsible for leading, developing sales strategies and plans as well as generate new business opportunities to the company.

The position does this by locating, developing, defining, negotiating, and closing business relationships with potential and existing key accounts, end customers, consultants, and system integrators.

The position maintains extensive knowledge of current market conditions, competitive positions, and solutions/services that PS can provide to develop the pipeline of business coming into the company.

This position has the ultimate objective to aggressively achieve profitable growth through monitoring of Data Center project pipelines and assisting to convert these into actual orders.

RESPONSIBILITIES

Generate new business opportunities and proposes potential business deals by contacting potential customers, decision makers and target accounts. Screens potential business deals by analyzing market strategies, deal requirements and evaluate options.

Works closely with local, regional, and global teams to close new business deals with persuasive approaches and pitches that will convince potential key accounts/customers to do business with PS. Collaborates to establish long term working relationships with key stakeholders and decision makers at different management levels across key accounts’ organizations.

Establish, cultivate, and maintain key relationships with end customers, influencers, and contractors. This can be done in conjunction with distribution partners and direct engagement.

Uncover and build opportunity pipelines with Sales, end customers and advance through the sales stages progressively till deal closure. Ensures that data is accurately entered and managed within PS’s CRM and sales/project management system.

Establish budgetary forecasts and sales volume targets for the SEA DC market.

Collaborate with Sales to assess level of involvement required from distribution to ensure success of closing business and project opportunities. Provides project guidance for price and quotation strategy to distribution network.

Identifies and support in qualification of strategic alliances to expand PS solution, products, and services; and business networking to leverage into additional markets.

Provide front line Data Center related marketing and technical support to distribution partners and dealers, as necessary.

Analyze sales and marketdata to provide relevant information to senior management for decision making.

Plays an active role in promoting PS in trade events and associations. Works with Marketing and Engineering to create, prepare and present technical papers and other application specific white papers for marketing collateral, trade journals and conferences.

Be the expert in Data Center power products and solutions, industry standards and overall on-site power system design and integration.

TRAVEL

This position requires travel up to 50%.

REQUIREMENTS

Degree in Electrical or Mechanical Engineering with at least 8 years of relevant sales experience in the power generation business.

Solid proven direct and channel sales track record. Able to present and negotiate with senior executives and decision makers both internally and externally.

Results driven, strong will to compete and win in a business environment.

A good team player and enjoys interacting with people of all levels.

Able to travel frequently and work independently.

CRITICAL TECHNICAL, PROFESSIONAL AND PERSONAL CAPABILITIES / SKILLS

Experience in Data Center segment is critical to the growth of PS business. Strong technical knowledge of power generation products and solutions. Has good knowledge of industry standards and requirements.

Strong people and communication skills that engages and motivate others. Able to stimulate new thinking and remain customer focused.

Strong drive to succeed; motivated, energized and demonstrates high level of enthusiasm.

Excellent team player. Able to lead or participate in cross-functional teams to achieve goals and objectives. Objective, open-minded and receptive to feedback.

WORKING HOURS / LOCATION

5-day work week

8.30am to 5.15pm

Located in Jurong

OTHER BENEFITS

Annual leave - 15 days up to 21 days

Medical, dental, optical and annual health screening benefits

Company transport provided at Boon Lay MRT station

Other allowances applicable

Interested applicants, please attach your resume with your current salary. expected salary, reasons for leaving and notice period upon application.

Gladwin Teo Jian Rong

EA No. 23C1599

EA Personnel no. R1768774

Responsibilities:

• Create complex, enterprise-transforming applications in high-energy, collaborative teams.
• Work with the latest tools and techniques in a hands-on coding environment, often utilizing pair programming.
• Build high-quality, maintainable code in a collaborative team environment.
• Demonstrate a solid understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
• Possess knowledge of consumer financial products, data systems, environments, and processes critical for the implementation of Risk and Finance models.

Requirement:

• Hands-on development experience with PySpark, Scala Spark, and distributed computing.
• 4–6 years of experience in:
• Python development.
• Hadoop platform (Hive, HDFS, Spark).
• 3–5 years of experience in:
• Unix shell scripting.
• SQL development.
• 2–3 years of experience in Spark programming.
• Bachelor in Computer Science, Engineering, Sciences, Mathematics, or a numerate subject,

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

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 #66104 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

Through proprietary software and AI, along with a focus on customer delight, Sleek makes the back-office easy for micro SMEs.

We give Entrepreneurs time back to focus on what they love doing - growing their business and being with customers. With a surging number of Entrepreneurs globally, we are innovating in a highly lucrative space.

We operate 3 business segments:

1. Corporate Secretary: Automating the company incorporation, secretarial, filing, Nominee Director, mailroom and immigration processes via custom online robots and SleekSign.  We are the market leaders in Singapore with ~5% market share of all new business incorporations
2. Accounting & Bookkeeping: Redefining what it means to do Accounting, Bookkeeping, Tax and Payroll thanks to our proprietary SleekBooks ledger, AI tools and exceptional customer service
3. FinTech payments: Overcoming a key challenge for Entrepreneurs by offering digital banking services to new businesses

Sleek launched in 2017 and now has around 15,000 customers across our offices in Singapore, Hong Kong, Australia and the UK.  We have around 450 staff with an intact startup mindset. 

We have achieved >70% compound annual growth in Revenue over the last 5 years and as a result have been recognised by The Financial Times, The Straits Times, Forbes and LinkedIn as one of the fastest growing companies in Asia. Backed by world-class investors, we are on track to be one of the few cash flow positive, tech-enabled unicorns based out of Singapore.

We are looking for a Senior Data Analyst that is excited about the below Mission and Outcomes over the next 6-12 months.

Mission:
Drive informed decision making within the COO’s organization by turning data from our Accounting, Corporate Secretary, FinTech and Compliance operations into actionable insights that improve the robustness and profitability of Sleek’s operations.

Outcomes: 

1/ Data reliability 
Ensuring that your analysis is at least 90% accurate, with clear understanding and explanation of what causes the 10% gap.

2/ Dashboard creation and management 
- Visualizing data in Looker Studio or Tableau, in a way that is clear and concise
- Calculation of metrics are to be consistent with existing dashboards
- Dashboards are to be prototyped with the end user in Google Sheets before created
- Efficient/ scalable solutions to be proposed to ensure long-term sustainability of dashboards
- Dashboard usage is to be reviewed every quarter those with low utilization are to be archived

3/ Documentation 
Ensure all key metrics and calculations are clearly documented in Google Docs and pinned/ linked in our internal Wiki or Slack channels.  Language should be accessible to other Data Analysts and non-technical stakeholders.

4/ Data quality recommendations
Work with Tech, Product and Data Engineers to ensure data pipelines are robust and efficient, so that Big Query is maintained as best as possible.

5/ Collaborate with other Data Analysts 
Even though you’ll be embedded within the functional team and working independently, you’ll need to contribute to an inclusive, friendly, knowledge sharing culture with other DAs, so that everyone is aware of each other's workstreams/ sprints, challenges and learnings.

To do this, you will have a minimum of 5 years experience as a Data Analyst.

The interview process

The successful candidate will participate in the below interview stages (note that the order might be different to what you read below). 

We anticipate the process to last no more than 3 weeks from start to finish. Whether the interviews are held over video call or in person will depend on your location and the role. 

Case study
A ~60 minute chat with the Hiring Manager (COO) or CFO and 1-2 other Data Analysts, where they will give you some real-life challenges that this role faces, and will ask for your approach to solving them.

Career deep dive 
A ~60 minute chat with the Hiring Manager (COO). They’ll discuss your last 1-2 roles to understand your experience in more detail.  

Behavioural fit assessment
A ~60 minute chat with our Head of HR or the CFO, where they will dive into some of your recent work situations to understand how you think and work.

Offer + reference interviews
- We’ll make a non-binding offer verbally or over email, followed by a couple of short phone or video calls with references that you provide to us. 
- We are offering SGD 3,000 to SGD 4,000 monthly remuneration for this role, along with the other financial, wellbeing and lifestyle benefits mentioned earlier in the job description.

Requirement for background screening

Please be aware that Sleek is a regulated entity and as such is required to perform different levels of background checks on staff depending on their role. 

This may include using external vendors to verify the below:

• Your education
• Any criminal history
• Any political exposure
• Any bankruptcy or adverse credit history

We will ask for your consent before conducting these checks.  Depending on your role at Sleek, an adverse result on one of these checks may prohibit you from passing probation.

By submitting a job application, you confirm that you have read and agree to our Data Privacy Statement for Candidates, found at sleek.com.

Some other great things about working at Sleek…

Humility and kindness: Humility is a core attribute we hire for, which means we have a culture of not taking ourselves too seriously and being able to laugh. Kindness is also incredibly important. We are committed to creating and nurturing a diverse and inclusive environment. 

Flexibility: You’ll be able to work from home 2-3 days per week if you live in Singapore or Hong Kong, or 5 days per week if you’re fully remote. If you need to start early or start late to cater to your family or other needs, we don’t mind, so long as you get your work done and proactively communicate. You can also work fully remote from anywhere in the world for 1 month each year

Financial benefits: We pay competitive market salaries and provide staff with generous paid time off and holiday schedules. Additionally, you’ll be able to access our flexi benefits scheme for home office equipment or health and fitness expenditure.  Certain staff at Sleek are also eligible for our employee share ownership plan and can share in the upside of our stellar growth trajectory as we work toward listing on a prominent stock exchange in the Asia Pacific region.

Personal growth: You’ll get a lot of responsibility and autonomy at Sleek - we move at a fast pace so you’ll be making decisions, making mistakes and learning. There’s also a range of internal and external facing training programmes we run. We’re also at the forefront of utilizing AI in our space and are developing a regional center of AI excellence. It is our intention that if you leave Sleek, you leave as a more well-rounded person and professional.

Sleek is also a proudly certified B Corp: Since we started our journey in 2017, we’ve been committed to building Sleek as a force for good. In just over 5 years, we’ve joined a community of industry leaders like Patagonia, Ben & Jerry's, and P&G who are building an inclusive, equitable, and a regenerative economy. We have planted over 29,271 trees to reforest our ecosystem and saved 7 tons of paper from landfills by processing over 1.4M pages through Sleek Sign. We aim to be Carbon Neutral by 2030.

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

Job Description:

At least 2 years of hands-on experience in data center infrastructure, network hardware, and communications systems implementation and maintenance.

Knowledge of data center environments, including PDUs, RPPs, SANs, and network infrastructures.

Understanding of complex inter-networked environments, such as Ethernet, TwinAx (100GigE, 25GigE, 10Gig, 100M etc) token ring, and WAN technologies (OC-x, DS-x).

Familiarity with TCP/IP protocols, subnetting, and WAN technologies.

Strong analytical and troubleshooting skills to identify and resolve system and network-related issues.

Excellent written and verbal communication skills to interact with vendors, team members, and stakeholders.

Experience in managing or coordinating technical infrastructure projects is an advantage.

While not required, familiarity with the Financial Services industry is a plus.

Roles and Responsibilities:

Hardware & Network Installations: Perform installation, de-installation, relocation, and testing of network hardware (routers, switches, firewalls, encryptors) and systems within the data center. Ensure that all installations meet the required service-level standards.

Carrier Circuit Management: Install, relocate, and test carrier circuits to ensure network connectivity across various hardware.

Cabling & Infrastructure Management: Manage the installation, relocation, and testing of patch cabling for systems and network hardware, maintaining organized and effective cabling practices.

Vendor Coordination: Collaborate with facilities, electrical, and communications vendors to facilitate the installation of infrastructure elements such as power circuits, cabinets, and network components.

Network & SAN Infrastructure Support: Assist in coordinating the installation and management of network configurations and SAN cabling, ensuring that performance and reliability standards are met.

Consumables Management: Oversee the management of critical consumables (cables, labels, rail kits, etc.) to ensure efficient day-to-day operations.

Work-Life Balance: This role will be 12Hour Rotating shift from Thursday to Sunday. 3days off to rest/ recharge.

Career Development: Gain invaluable experience in managing enterprise-level data center operations and network infrastructure.

Overview:We are seeking an AI and Analytics Specialist to find innovative ways to apply artificial intelligence and analytics to real-world Wealth Management challenges. You will work on enhancing client offerings or improving internal processes, constantly pushing the boundaries of how AI can be leveraged to drive value in a dynamic financial environment.

Responsibilities:

• Collaborate with the data hub team to deliver AI-driven data transformation projects.
• Understand business requirements and develop analytical solutions to address key business problems.
• Use design thinking to identify user pain points and areas where advanced analytics, such as Machine Learning and Natural Language Processing, can drive value.
• Design and develop machine learning models tailored to financial services.
• Build advanced analytics workflows, including feature engineering, model development, and insight visualization.
• Create dashboards for data storytelling and insights consumption.
• Develop reusable analytical assets to support various projects.
• Work with business and analytics teams to operationalize models and drive measurable business outcomes.
• Conduct regular audits to ensure model relevance and accuracy.
• Clearly communicate results and insights to stakeholders.

Qualifications:

• Strong strategic thinking around AI’s business value.
• Initiative and resilience to succeed in a highly regulated environment.
• Expertise in machine learning, NLP, clustering algorithms, and feature engineering.
• Proficiency in Python and tools like pandas, scikit-learn, TensorFlow, pytorch, and Flask.
• Experience with data visualization tools such as Power BI or Tableau.
• Ability to explain technical concepts to both technical and non-technical audiences.
• Scientific approach to experimentation and solution evaluation.
• A portfolio of previous AI projects or Kaggle competition experience is a plus.
• Degree holder.

This role requires a mix of technical expertise and business acumen, with the ability to innovate in the AI space within the wealth management domain.

Job Description

• Industry/ Organization Type: IT / Software
• Position Title: Data Center Engineer
• Working Location: Boon Lay
• Working Hours: 5 days, Mon – Fri (Morning Shift 6 AM – 2 PM / Afternoon Shift 2 PM – 10 PM)
• Salary Package: Basic Salary up to $5,000 + AWS + Bonus
• Duration: Permanent Role

Key Responsibilities

• Perform periodic walk-through, validation of equipment status, amber lights check, etc.
• Review work order requests in the queue and respond to semi-routine work orders by adhering to commitment times.
• Escalate and expedite orders to appropriate teams upon standard operating procedures.
• Rack and stack semi-routine customer equipment tickets.
• Support datacenter standard operating cross-connect work order requests.
• Support standard operating testing and standard operating installations of customer assets.
• Support standard operating procedures of layer 1 cross-connect certification testing.
• Any other ad-hoc duties as assigned.

APPLY NOW!!!

• Diploma / Degree in IT/Computer Science, or related field.
• Minimum 1 year of IT experience or equivalent.
• Prior working experience in a Data Center, Network or Server environment would be an added advantage.
• Must be comfortable with shift rotation.

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 #66104 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

Job Description:
We are seeking a skilled Data Engineer with expertise in AWS cloud computing and database administration to join our team. In this role, you will design, implement, and manage scalable data solutions while maintaining and optimizing databases to ensure high performance and reliability..

Job Responsibilities:

• Design, deploy, maintain, and optimize database systems (Oracle, MySQL, SQL Server), including installation, configuration, backup, and recovery.
• Monitor and optimize database performance to improve response time, stability, and reliability.
• Plan and expand database capacity to ensure scalability and meet business requirements.
• Deploy and manage cloud infrastructure on AWS, including servers, networks, storage, and other resources, to provide a stable and reliable environment.
• Create, configure, and maintain AWS services to align with business needs, selecting appropriate services based on requirements.
• Implement and manage monitoring tools to track the performance and operational status of databases and AWS environments, proactively identifying and resolving potential issues.
• Collaborate with cross-functional teams to deliver efficient, scalable, and reliable cloud and database solutions.

Job Requirements:

• Bachelor’s degree or higher in Computer Science, Information Systems, or related fields.
• Minimum of 3+ years of experience in database administration (with hands-on experience in Oracle, MySQL, or SQL Server).
• Strong experience with AWS services and managing cloud infrastructure.
• In-depth knowledge of database performance tuning, troubleshooting, and optimization techniques.
• Familiarity with cloud networking concepts and using monitoring tools for AWS environments.
• Strong communication and problem-solving skills to handle technical challenges effectively.

We are seeking talents who are motivated and analytical to join our team as a Data Analyst Intern. We are working on an enterprise level ML model for one of the largest operator groups in the Singapore healthcare industry. This internship provides practical experience in data analysis, machine learning, algorithms in a nascent healthcare application.

Primary Responsibility

• Carry out machine learning projects in data training and inference.

• Collate and manage project results for follow-on projects development.

• Review ML and algorithmic models from technical journals. Provide pros/cons analysis to shortlist for feasibility testing.

• Perform data analytics on datasets for preparation and data insights for ML tuning.

Requirement

• Currently pursuing a bachelor's or post-graduate degree in a relevant field, such as Data Science, Physics, Statistics, Mathematics, or Computer Science.

• Strong analytical and problem-solving skills.

• Competent in Python data analysis, ML tools etc.

• Familiar with various ML framework and algorithmic programming methods would be advantages.

Benefits

• Work in a dynamic pace and product rich environment.

• Able to work with and experience best-of-breed software design and implement experts.

• Abundance of deep-tech learning experience.

• Actual Renumeration depends on experience.

We are seeking a proactive and skilled Data and Technology Specialist to join our People Technology team, which sits in the wider People team. This role is based in Singapore and focuses on supporting and optimizing our people (HR) systems, primarily Workday. The ideal candidate will ensure smooth operation of integrations, reporting, and security frameworks while also building new integrations as business needs evolve.

Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world’s first platform to offer true multi-currency banking. We’re 6000+ Wisers strong, with over 70 nationalities working in 25+ locations around the globe! 
This is a unique opportunity to join Europe’s most valuable fintech company at a pivotal time in evolving our global People technology, automation and data capability. Keeping a customer first mindset, you’ll be working closely with our People Technology Lead (Senior System Architect) in building, designing, delivering and maintaining Workday and all other People Systems across Wise.

Key Responsibilities:

Integrations Management:

• Monitor, maintain, and troubleshoot existing integrations across the HR system landscape.

• Design, develop, and deploy new integrations as required, leveraging Workday Extend or other relevant tools.

• Collaborate with internal and external stakeholders to ensure integrations meet business requirements and are scalable.

Reporting and Analytics:

• Develop and maintain robust reports and dashboards to support HR and business operations.

• Ensure data accuracy and alignment across systems for meaningful insights and decision-making.

Security and Compliance:

• Manage user access and role-based permissions within Workday and related systems.

• Ensure compliance with organizational policies, data governance, and industry regulations.

• Conduct regular audits to identify and address security vulnerabilities.

Collaboration and Support:

• Work closely with HR, IT, and external vendors to resolve system issues and implement enhancements.

• Provide training and support to HR and other stakeholders on system functionalities.

• Stay updated on Workday releases and best practices to leverage new features effectively.

We are partnering with a leading consulting firm seeking a skilled Data Architect with expertise in Azure and Databricks to design and implement advanced data solutions. In this role, you will collaborate with clients in the insurance sector, helping them optimize data strategies and drive business innovation.

Responsibilities:

• Design, implement, and maintain scalable and secure data platforms using Azure technologies.
• Develop and optimize data engineering pipelines using Databricks for analytics and reporting.
• Collaborate with clients to understand their business needs and translate them into tailored data solutions.
• Implement data governance and compliance frameworks to ensure data quality and regulatory adherence.
• Provide guidance on data architecture best practices to enable performance and scalability.

Qualifications:

• Strong hands-on experience with Azure Data Services (e.g., Data Factory, Synapse Analytics).
• Proficiency in Databricks and modern data engineering practices.
• Prior experience in data architecture within the insurance industry or related fields is advantageous.
• Excellent communication and problem-solving skills to collaborate effectively with diverse teams.

EA: 14S7084 | Registration No:R1981018

Senior Data Scientist

In view of business expansion, our client is seeking a Senior Data Scientist based in Singapore. The Data Scientist will design, build and execute machine learning techniques on large, complex, structured / unstructured data sets to find out hidden patterns and predictive signals.

The Responsibilities:

• Identify use cases allowing to take advantage of GenAI & Machine Learning capabilities
• Define data science approaches that fit with clients’ business challenges, using state-of-the-art methods to solve problems of large dimensionality in a computationally efficient and statistically effective manner.
• Build advanced algorithms, using statistical knowledge and machine learning techniques to identify trends, patterns and predictive signals on large data sets
• Interact with business stakeholders to understand business data and analytics requirements and identify data-driven business opportunities
• Responsible for explores information from multiple diverse sources, analyzing data and gain insights into business intelligence that is actionable
• Identify and uncover new opportunities, insights, trends, and patterns from analysis to key stakeholders/decision-makers
• Stay up-to-date with the latest data science and data engineering techniques and tools
• Deploy ML models into production (either alone or working with data engineers if necessary)

The Requirements

• Degree in Computer Science, Computer Engineering or a related field
• Over 5 years expertise in Data Science
• Good applied skills with statistical programming languages such as R, Python (NumPy, pandas), SAS, SPSS etc.
• Experience with machine learning frameworks (e.g scikit-learn, Spark MLlib, Caffe, TensorFlow) and/or data science platforms (e.g. SAS, Dataiku)
• Experience of ML and LLM libraries and tools such as MLFlow, Langchain to develop GenAI applications, model experimentation and basic UI development with libraries such as Gradio or Streamlit.
• Experience with No-Code/Low-Code GenAI tools such as Langflow, Flowise, Rivet
• Data-oriented background in SQL, data wrangling and data modelling
• Exposure to data visualization tools and/or charting libraries (eg. Tableau, Qlik, D3.js, GGplot)
• Familiar with deploying Data projects into cloud (e.g Azure, AWS, GCP)
• Team player with good interpersonal and problem solving skills.

Office Location: West

Kindly indicate your current/last salary details and also your notice period

Interested candidates kindly forward your CV to [email protected] (Dorothy Ma Li, Reg No: R1769176). Feel free to forward this great opportunity to someone who would be a great fit for this role.

All information will be kept strictly confidential. We regret to inform that only successful applicants will be contacted.

PeopleSearch Pte Ltd

EA License No: 16S8057

AI and Data Platform Solution Architect/Consultant is a pivotal role responsible for engaging with clients to understand their requirements, demonstrate the capabilities of Data and AI, particularly Large Language Models (LLMs), and architect solutions that meet their needs. This individual should possess a solid understanding of Data fundamentals, with a focus on AI and Analytics, and be adept at conducting Proof of Concepts (POCs) to showcase the effectiveness and applicability of AI & LLM in solving real-world problems. The role involves collaborating closely with sales teams, and clients to articulate the value proposition of Private LLM solutions and drive successful pre-sales activities.

5 days, Permanent, Paya Lebar

Our Client

Data Centre Builder , Data Center facility Management Company

Job scope

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

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

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

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

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

· Resolve site issue with multiple parties

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

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

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

Requirements

· Min Diploma in Electrical/Mechanical Engineering

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

Added advantage

· Proficiency with Authority and BCA Code of Practice.

Work location :Paya Lebar

Whats on offer

(1) Attractive package

(2) Stable Management

(3) Dynamic work environment

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

- Position applying for

- Current remuneration

- Expected remuneration

- Notice period

Michelle Goh

EA License No : 22C1142

We regret that only shortlisted candidates will be notified.

Internal Code: AXI25001

*Internship period: At least 5 months, from January 2025

Headquartered in Singapore, Actxa Pte Ltd is a deep tech company founded in 2015 that leverages artificial intelligence to create next generation preventive healthcare solutions.

We create evidence-based, personalised health insights in the domains of physical activities, sleep quality, body composition, stress and recovery, heart health and blood glucose evaluation and monitoring.

To improve population health, Actxa establishes worldwide partnerships and research collaborations to develop critical preventive health models to help people avert chronic diseases such as diabetes and hypertension.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We have opportunities for you to grow your career path and are looking for talented professionals to join our team.

What will you do?

• Assist data scientists in performing public healthcare research and development in line with the organization's vision within the digital health and wellness domain
• Perform on-site or off-site data collection, data organization, storage and processing
• Develop data-driven solutions and insights based on data mining, statistical modelling and machine learning methods
• Perform algorithm testing and validation
• Documentation of research, experiments and modelling findings/results
• Opportunity to be the co-author of our research publications

What are we looking for?

• Year 3 or final year in Data Science, Computer Science, Computer Engineering or related discipline
• Passionate about data science and good working knowledge of Python, SQL and R
• Good understanding or experience in signal processing and machine learning is required
• Keen interest in digital healthcare, wellness and fitness domain
• A 'go with the flow' and positive attitude, adaptable to change and energetic
• Passionate about learning and working with new technologies
• A natural tenacity, resilience and determination

Who we are:

minden.ai is a technology venture founded by Temasek in strategic partnership with DFI Retail Group and coalition partners BreadTalk Group, DBS Bank, PAssion Card, Mandai Wildlife Group, Singtel, FoodPanda, GoJek and Great Eastern. We are on a mission to redefine the engagement between brands and consumers in Southeast Asia.

The way we work:

At Minden, we treat each other with respect. We embrace authenticity and transparency. We pride ourselves on agility and innovation, and believe in embracing continuous learning and self-improvement. We strive to be the preferred employer by providing comprehensive benefits, a dynamic and exciting working environment, work-life balance and effort recognition.

We are seeking for individuals with grit and passion, an insatiable intellectual curiosity and a heart for people to amplify effectiveness as a team.

As a Senior Data Engineer, you will:

• Contribute to the design and implementation of a scalable and reliable data platform based on the data mesh principles with modern data stack.
• Develop and maintain efficient data pipelines to ingest, transform, and store data from various sources.
• Collaborate with engineers across domains to understand their data needs and develop self-service data access tools and APIs.
• Contribute to the development and improvement of internal data products
• Partner with the data science and analytics teams to ensure their data needs are met.
• Follow and contribute to the continuous improvement of data standards and best practices.

What you should have:

• Bachelor's degree in Computer Science, Data Science, or related field
• 4+ years of experience as a Data Engineer or similar role. Additional experience as backend software engineer is preferred
• Proficiency in programming languages like SQL, Python, Java, or Scala, and experience with big data processing frameworks like Apache Spark.
• Experience with dimensional modeling, data warehouse and data lake.
• Experience with modern data stack (eg. Snowflake, dbt, airflow, etc) is a plus.
• Understanding of data mesh principles and concepts is beneficial.
• Experience working in an ambiguous, low control yet fast paced startup environment

• 1-month role

• Well Established Company

• Working hour: 8.15am – 5.45pm (Monday - Friday)

• Company located at Tuas

• Company transport provided: Boon Lay, Bukit Batok, Choa Chu Kang

Job Scope

• Accurately enter data into company systems and databases
• Review and verify data for errors or inconsistencies
• Organize and maintain electronic files and records
• Assist with data cleansing and other data-related tasks as needed
• Collaborate with team members to ensure timely project completion
• Perform other administrative duties as assigned

Requirement

• GCE O Level & above
• 1 - 2 years of relevant working experience in similar position

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

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

We regret that only shortlisted candidates will be contacted.

SIM BEI NA (R22111637)

EA Recruitment Pte Ltd

EA License No: 21C0492

Job Description:

• Entering data for financial records.
• Process invoices, monitoring & follow up outstanding AR payment
• Prepare monthly bank reconciliation
• Assist in preparing financial statements
• Any other ad-hoc duties as assigned by the manager

Requirement:

• Min. O Level and above
• Minimum 1 year working relevant experience.

*Please be notified that only shortlisted candidates will be notified*

By submtting your personal data and/or resume, you give consent to the collection, use, and disclosure of your personal data and/or resume by the company (or its agent) for the purpose of the processing and administration by the company relating to this job application.

EA Personnel Name: Chan Jun Wei

EA Personnel No: R1543992

EA License No: 21C0845

The Role

The Data Engineer will be part of the data engineering team. He/she will design and develop high quality data products - data warehouse, data marts, data lake and data hubs; either on cloud or on-premises system environments.

Job Responsibilities

· Build and support data pipelines and all associated Software Engineering infrastructure tasks.

· Liaise with clients, technical architects, data architects, data scientists and BI analysts to gather requirements.

· Analyse data requirements, prepare functional and non-functional specifications for the data products.

· Develop the data pipeline using either ETL or ELT approach to load or synchronise data in near real time or batch mode.

· Analyse and interpret data into business insights.

· Design and develop the dashboards and visualizations using the BI tools.

· Ability to understand and convert the business logics into SQL queries and validate it against the data.

· Prepare Test Plans and conduct Unit Test, System Integration Test, User Acceptance Test and Performance Test.

· Implement deployment approaches and methods to roll-out the system changes.

· Stay up to date with industry standards and technological advancements that will improve the quality of the data products.

Job Requirements

· A keen learner with a minimum Bachelor’s Degree in Computer Science or related fields.

· At least 2 to 3 years of end-to-end data warehouse, data lake and big data implementation experience.

· Proficient with at least one or more of the following technologies: Informatica, SSIS, SQL Skills, SQL Server, AWS, Data Warehouse, ETL Framework.

· Preferably possess a good knowledge about: Power BI, Qlik Sense, MicroStrategy, SAS and Tableau.

· Able to work under pressure when there is an escalated demand in the project cycle.

· Understand the solution requirements and progress to develop, build and operationalise the solutions.

· Enjoy problem solving in different domains and industries.

· Love working with a highly energetic and competent team.

· A self-starter with an analytical approach to problem solving.

· A client-centric, outcome driven and quality focused team player.

· Excellent communication; both in written and spoken English.

Office Location : Central

Hybrid working arrangement

**We regret that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**