The Opportunity

• Opportunity to work with fast growing Tech company
• Salary: Up to $2300
• Office Location: One North
• 5 days work week (Hybrid arrangement)
• 8.30am-6pm (Mon-Thur) 8.30am-5.30pm (Fri) - May work outdoor as well

The Talent

• Min Diploma in any discipline
• Basic knowledge with Singapore Geo/Map
• Able to work under minimal supervision and have strong logic.
• Experience in Google Suites (Google Sheets, etc), and MS Office.

The Job

• Field observation and data collection of platform bookings
• Data entry and validation of the information collection using proprietary software and tools.
• Data analysis & monitoring of small-to-large sets of geo data.
• Perform recollection of data on the ground as required.
• Collectively working on improving the places, map data and predict capabilities to ensure seamless point-to-point booking experience

Prepare your updated resume (please include your current salary package with full breakdown such as base, incentives, annual wage supplement, etc.) and expected package.

Simply click on 'Apply here' to drop your resume and contact us to follow-up, or send your resume to [email protected]

All shortlisted candidates will be contacted.

Responsible to analyse grants’/business operations’ data and perform analytical review to evaluate/review variances, anomalies, trends and new insights, and enabling business divisions to leverage statistical methods to detect variations and areas that require further investigation.

Responsibilities

• Obtain and review the consolidated data structure/s for programme/s and develop suitable analytic strategies to ensure the achievement of expected deliverables.
• Lead and conduct data analysis and data mapping, where appropriate, to identify any unusual trends, anomalies, behaviour etc.
• Conduct analytical review of the identified variances, trends, anomalies, behaviours etc.
• Conduct deep dive review into the identified trend and behaviour to further review for specific indications of non-compliances and/or potential suspected fraud.
• Develop suitable data review processes that can assist business divisions in the upstream early detection of potential issues in the grants administration and processing.
• Coordinate with relevant business divisions on referral cases of potential suspected fraud for further inquiry and investigations by IAU
• Timely management and maintenance of WSG blacklist listing

Requirements

• Ability to review complex dataset and develop suitable data review strategies to achieve the objectives of data analysis deliverables
• Experienced in using analytical formulas and functions for MS Excel and other analytical tools, such as data visualization, as well as experience in simple data cleaning
• Experience and knowledge in conducting analytical review and/or business operation reviews is essential
• Critical thinking and problem-solving skills – ability to understand beyond the numbers and its implications
• Excellent communication & presentation skills and inter-personal skills to engage relevant stakeholders
• A team player with good inter-personal skills
• Driven, meticulous and able to multi-task and work independently
• Good system and processes development acumen. Knowledge related to financial and auditing concepts, accounting principles are an added advantage.
• Ability to lead and motivate team to achieve the set outcomes; inspire and guide teams to grow and mentor them

All applicants will be notified on whether they are shortlisted or not within 4 weeks of the closing date of this job posting.

(No Experience is required, all training will be provided)

We are looking for a self-motivated trainee Site engineer/ Utility Detection Specialist (LCDW/TCDW) at our company. Our trainee engineers will form part of an integrated team and should be comfortable working well with the rest of our admin and drafter teams.

To be successful as a Utility detection engineer, you should stay up-to-date with detection methods, software, and advancements. Engineers must demonstrate attention to detail and have sound knowledge of the discipline.

- Oversee and carry out projects assigned to you

- Operating electromagnetic cable locator to detect and locate underground services (training will be provided)

- Liaising with drafter and admin staff to carry out projects

- Going to various sites to carry out projects

- Communicating and liaising with clients on their project

- Company transport will be provided (need to have class 2B or class 3)

Requirements:

No experience required

ITE Certification/ Poly Certification/ Degree Certification in Electrical/ Mechanical/ Civil Engineering

As a Data Engineer, you will be responsible for:

• Designing and implementing data solutions that meet business requirements. Also, it includes designing data schemas/data pipeline and systems to collect, manage and convert raw data into useful data system, improving data flow and acquisition processes, and integrating new data management technologies and software engineering tools into existing structures.

• Developing, testing, and maintaining architectures, such as large-scale processing systems and databases. It includes optimizing data retrieval, implementing ETL (Extract, Transform, Load) processes, and ensuring consistent data delivery across multiple sources and platforms.

• Managing and optimizing data storage through SQL and NoSQL databases, data lakes and data warehouses to ensure data is stored efficiently for easy retrieval and analysis.

• Implementing data quality checks to ensure high quality and accuracy. Also, to ensure data accessibility for analytic and business intelligence purposes.

• Collaborating with cross functional teams to ensure they have the necessary data to perform their duties effectively as well as to improve data flow efficiency and reliability.

Technical skills required:

• Programming skills: Python, JAVA, or Scala

• Expertise in SQL and experience with SQL database design

• Experience with big data tools like Hadoop, Spark, Kafka, etc.

• Knowledge of data modeling, data warehousing and building ETL (Extract, Transform, Load) pipelines.

• Familiarity with cloud services like AWS, Azure, or Google Cloud.

• Understanding of machine learning algorithms is a plus.

At the same time, as a Data Analyst, you will be responsible for:

• Collecting data from primary or secondary data sources and maintaining databases/data systems. Also, cleaning and pre-processing raw data from various source for data analysis. This includes dealing with missing values, outliers and transforming data into a usable format.

• Using statistical techniques to analyze data and generate useful business insights. Also, it involves identifying, analyzing and interpreting trends and patterns in complex data sets.

• Developing and maintaining interactive visual reports, dashboards and analytics using tools like Tableau, Power BI or excel.

• Work with various departments to understand their data needs and provide insights.

• Interpreting the data and turning analysis into actionable insights.

Technical skills required:

• Proficiency in statistical analysis and statistical packages (like Python and R).

• Experience in querying databases and use statistical computer language: SQL, Python, etc.

• Experience with data visualization tools like Tableau, Power BI, etc.

• Ability to articulate findings clearly to both technical and non-technical audiences.

• Strong problem-solving skills and attention to detail.

• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information.

• Bachelor Degree in Engineering or Data Analytics

Work location: Upper Changi office

Qualifications

Education:

Skills:

Certifications:

Languages:

Years of Experience:

Work Experience:

Additional Information

Time Type:

Employee Type:

Travel:

Relocation Eligible:

Applied Materials is an Equal Opportunity Employer committed to diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law. 

RESPONSIBILITIES

• Coordinate maintenance tasks for equipment and offer technical support for both preventive and corrective maintenance to ensure optimal functionality and safety.
• Offer technical guidance for preventive and corrective maintenance procedures.
• Ensure meticulous maintenance records are maintained within the designated section.
• Aid in investigating damages or accidents and preparing required reports.
• Collaborate with equipment owners to address maintenance concerns and provide follow-up as needed.
• Perform routine patrol checks to oversee maintenance activities.
• Collaborate with other departments, including those in Japan, on maintenance-related matters.
• Develop, monitor, and regulate work procedures.

REQUIREMENTS

• Minimum Diploma in any technical / engineering discipline.
• Candidates with at least 1 year of maintenance sales support experience is ideal. Fresh Graduates are encouraged to apply.
• Candidate must be comfortable to provide assistance in handling of technicians

Kindly include the following in your resume:

1. Current Salary
2. Expected Salary
3. Availability
4. Reason for leaving

Thank you for your application and we regret that only shortlisted applicants will be notified

By submitting any application or resume to us, you will be deemed to have agreed & consented to us collecting, using, retaining & disclosing your personal information to prospective employers with the services provided by us.

EA (18C9514/R23118479)

Our Client is an established company in Singapore, who is seeking to recruit a Associate Director, Operations (Data Centre), Malaysia.

Associate Director, Operations (Data Centre), Malaysia

• To review and reform the existing Data Centre network and IT system.
• To develop and integrate the existing Building Management System (BMS) and Environmental Monitoring System (EMS).
• To introduce IOT sensors for Artificial Intelligence and to collect data for Machine Learning implementation.
• Manage the department by providing leadership, coaching, training, and mentorship and overall development of the employees.
• Manage resources in manpower, capital, and operating expenses within the team. Ensure resources are leveraged at the most optimum, efficient, and cost-effective manner.
• Work with Procurement on all the tender processes and internal team on the specifications/requirements, to ensure all contracts and tenders are process in accordance to policies. Work with Project team on submitted tender, evaluate feasibility, life cycle cost and maintenance requirements of the design, equipment and services rendered.
• Update senior management on overall performance status and activities for the department.
• Strategize and lead the department towards centralization, digitalization, and data analytical to improve Data Center resiliencies and efficiencies.

Skills for Success

• Degree/Diploma in IT Network, Mechanical, Electrical, Building Services, Facilities Management, or related disciplines.
• Minimum 15 years of experience in mission critical facilities.
• Manage the relationship with the client, vendor and all stakeholders.
• Perform other job-related duties or special projects as assigned.
• Ability to effectively respond to all issues, complex enquiries or complaints from customers, users and/or higher management.
• Excellent interpersonal and communication skills
• Ability to multi-task, work under pressure and within tight deadlines.
• 
  

Technical Skills

• Knowledge in DC Network, IT integration, BMS and EMS.
• Knowledge in deployment of IOT, AI and ML for predictive O&M.
• Knowledge in Data Centre/Critical Services management.
• Knowledge on authority regulations such as Electrical, ACMV, security, fire and workplace safety
• Experience in dealing with various external stakeholders such as consultants, contractors or service vendors.
• Knowledge in TIA 942, ISO27001, SS 564, OSPAR, TVRA, SOC Type I/II

Professional Certification:

• Network and IT Expertise
• Singapore Certified Energy Manager
• Fire Safety Manager
• Licenced Electrical Worker (preference)
• Operational Technology (OT)

JJ Consulting Services

EA Licence No.: 12C6207

Applicants are invited to send in a MS Word resume to [email protected] stating position applying for/present/expected salaries and earliest available date.

We thank all applicants in advance and regret that only short listed candidates will be notified.

Who we are

We are a boutique management consulting firm offering Business Consulting, Advisory, and Technology services to our banking clients in the wealth space. We partner with our clients on large transformation projects and act as their delivery partners.

We are building a competency center with a high-potential team with niche skill sets. Our focus is to bring together, a diverse talent pool that will create perfect synergy in delivering the best possible solutions for the projects we undertake. We also aspire to provide an inclusive workplace where fresh talent can grow and achieve their full potential.

Job Description

The candidate must have 5+ years of experience in a Data Engineer role with a degree in Computer Science, Informatics, Information systems or similar fields.

Key responsibilities include:

· Designing and building scalable data pipelines to extract, transform, and load data from a variety of sources.

· Maintaining and optimizing existing data pipelines and automating data workflows such as data ingestion, aggregation, and ETL processing.

· Working with data analysts in Fintech space to understand data needs and design appropriate data models.

· Collaborating with cross-functional teams to integrate data pipelines with other systems.

· Ensure data accuracy, integrity, privacy, security, and compliance through quality control procedures.

· Monitor data systems performance and implement optimization strategies.

Minimum Qualifications:

· Strong development experience in at least two or more of the following languages: Python, Java, Scala, Go.

· Experience with working on large data sets and distributed computing in Enterprise using technologies like Hadoop, Spark, Hive, Kafka, etc.

· Proficient with building data pipelines and workflow management tools. Should have worked on Airflow, Nifi or related tools.

· Working knowledge of message queuing, stream processing systems like Kafka, Spark Streaming.

· Hands on experience working with NoSQL databases (like Cassandra, MongoDB, or Neo4j) and relational databases (like MySQL, PostgreSQL, or Oracle)

· Experience with data visualization tools like Tableau, Superset, or similar tools.

· Working knowledge of data quality, data governance, and data security principles.

Good to have:

· Experience with data science and machine learning tools and libraries (e.g. scikit-learn, TensorFlow, PyTorch, etc.)

· Cloud computing experience (e.g. AWS, GCP, Azure)

· Cloudera Certified Professional Data Engineer, IBM Certified Data Engineer, or similar certifications.

· Must be aware of data privacy and security concerns and regulations (e.g. GDPR, CCPA, etc.)