Total 3,998 data entry clerk job vacancies in Information Technology category in Singapore

Our client is looking for a productive, detail-oriented person to work as a temporary data entry clerk in our team. This position's major duty will be to maintain and enter data into our database system appropriately. Strong attention to detail, impeccable typing abilities, and the capacity to work quickly to meet deadlines are qualities that the ideal candidate will possess.

Responsibilities:

• Entering and maintaining data in the database system of the business.
• Checking the accuracy of the data entered and making any required adjustments.
• Keeping electronic documents and data organised.
• Assisting with initiatives involving data organisation and cleansing.
• Observing the policies and procedures of the company regarding data entry and confidentiality.
• Ensuring accurate and timely task completion by means of excellent team communication.

Requirements:

• At least GCE ‘O’ Level qualification is needed.
• Proven experience with data entry and basic computer skills.
• Proficiency in typing and data entry with minimal errors.
• Strong attention to detail and accuracy.
• Ability to work independently and prioritize tasks effectively.
• Excellent communication skills.
• Experience with Microsoft Office suite (Excel, Word, Outlook) is preferred.
• Previous experience with database software is a plus.

Interested candidates are invited to send in your Resume in MS Word Format* stating your past work experience, reasons for each leave, past and expected remuneration.

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

By submitting an application to us, you will be deemed to have agreed for us to collect, use, and disclose your personal data which you have submitted to your prospective employers, for the purpose of job search, and/or other services which you have consented us to perform on your behalf.

EA License Number: 19C9782

EA Personnel: R1346341

Job Description

• To perform data entry, entering client accounts, patient demographic information & order laboratory tests completely and accurately into the Laboratory Information System (LIS).

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

• Filling and archiving of documents.

• Assist in printing department, sorting and distributing laboratory reports on an ad-hoc basis.

• Any other ad-hoc administrative duties as assigned.

• Ensuring smooth daily operation.

Job Requirements

• Willing to work 5.5 days (Mon-Sat) work week, overtime and rotating shift schedule

• Minimum GCE N & O-Level with at least 1 year of relevant call centre work experience, preferably in healthcare industry.

• Good typing skills and accuracy.

• Strong communication and interpersonal skills

• Excellent phone etiquette and positive learning and working attitude

• Fluent in written & spoken English is a must

• Computer literate, Proficient in Microsoft Office and Excel

• Hardworking, responsible, multitask and meticulous attention to detail

• Cooperative, able to work well with colleagues and superiors.

• Team player & supportive of the operational needs

Shortlisted candidates will be required to do a typing skills test.

Work Schedule:

Monday to Friday: 10.15 am to 6.45 pm

Saturday: 11.00 am to 3.30 pm

Start time subject to change accordingly to operational needs.

POSITION GENERAL DUTIES AND TASKS :

The support specialist will be a techno functional support team member for the Enterprise Datawarehouse (EDW) under IT BAU team.

He/she is responsible for ensuring system availability and timely deliverables for datamarts for various business unit like Finance, regulatory, Campaign.

The support specialist, as the analyst expert within the IT team, will be the support staff who needs to closely co-ordinate and work with various team like Tech Infra, application services, solutioning, project and business units in the bank. He/she follows up to resolve issues reported by users and performs impact analysis related projects/enhancements that will impact the EDW.

Roles/Responsibilities:

- At least 2+ years of relevant experience

- Experience with Teradata FSLDM and data mapping

- Hands-on technologist, strong in SQL, UNIX and Teradata tools and technologies

- Experience in designing high throughput fault tolerant data pipelines for Batch (ETL/ELT)

- Experience in GL Data reconciliation between systems, datamarts & report and Knowledge of the ledger balance reporting is an added advantage

- Experience in Performance Tuning on Teradata or other MPP data pipeline

- Hands On Experience within the Hadoop Tool Sets Hive, Hue, Spark, Kafka is a plus

Roles & Responsibilities

• Microservices dev with Java and spring boot; Kafka; MongoDB and MariaDB
• Manage Operations on PCF, OCP, VPC, Jenkins, AWS
• Data engineering with Spark and Python
• Release management

Requirements

• 7 to 10 years experience in Microservices dev with Java and spring boot; Kafka; MongoDB and MariaDB
• Experience on PCF, OCP, VPC, Jenkins, AWS
• Data engineering with Spark and Python experience
• Release management experience
• Excellent tech and business stakeholder management

Be a part of our start-up where all decisions across BUs are data driven and never by gut.

CPO is a startup company dedicated to leveraging data-driven insights to drive innovation and growth. We are committed to harnessing the power of data to solve complex business challenges and deliver value to our customers. As we continue to expand our data analytics capabilities, we are seeking Data Scientists to join our team and contribute to our success.

As a Data Scientist, you will be at the forefront of our data analytics efforts, working closely with cross-functional teams to develop and deploy advanced analytical solutions. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to inform business decisions. The ideal candidate will possess strong analytical skills, a deep understanding of statistical methods and machine learning techniques, and a passion for solving complex problems using data.

Key Responsibilities:

1. Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data analytics to drive business value.
2. Collect, clean, and preprocess large datasets from multiple sources to ensure data quality and integrity.
3. Apply statistical analysis and machine learning techniques to develop predictive models and algorithms for solving business problems.
4. Evaluate model performance and iteratively refine models to improve accuracy and effectiveness.
5. Generate actionable insights and recommendations based on data analysis, and present findings to stakeholders in a clear and compelling manner.
6. Work closely with engineering teams to deploy and operationalize analytical models in production environments.
7. Stay abreast of the latest developments in data science and machine learning, and proactively explore new techniques and methodologies to enhance analytical capabilities.
8. Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making workflows.
9. Adhere to best practices in data governance, security, and compliance, ensuring the ethical and responsible use of data throughout the organization.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Experience with developing and deploying predictive models and algorithms would be a plus
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy) would also be a plus
• Strong understanding of statistical methods and machine learning techniques, including linear regression, logistic regression, decision trees, random forests, and neural networks.
• Experience working with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
• Solid understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

We are a equal opportunity employer and is committed to diversity and inclusion in the workplace. We encourage individuals from all backgrounds to apply.

This is a 12 months contract assigned to our client

Work Location: To be confirmed (during interview)

Salary Range : $7,000-$8,500

Job Description

1. Using the Talend ETL toolset, to create new and maintain existing ETL jobs.

2. Design and implement ETL for extracting and transforming data from diverse sources, such as:

Cloudera, PostgreSQL, and SQL Server databases.

3. Design and develop database tables necessary along with the necessary constraints as per

the requirement.

4. Collaborate with Team members to understand source system structures and data retrieval

methods/techniques, and tools within the organization.

5. Support the development of data transformation logic using ETL tools or scripting languages like

SQL, Python, etc.

6. Clean, validate, and transform data to conform to target schema and quality standards.

7. Work with the Team to execute data quality improvement plans.

8. Participate in troubleshooting activities to maintain data integrity and process efficiency.

9. Experience with Talend, Python and Spark

10. Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, HDFS).

11. Understanding of data-warehousing and data-modeling techniques

12. Knowledge of industry-wide visualization and analytics tools

13. Good interpersonal skills and positive attitude qualifications

14. Degree in computer science, mathematics, or engineering

Mandatory Skills

The Opportunity
Leveraging the latest technology to develop mission critical applications from scratch. design, develop, test and deploy new applications as part of the strategic transformation programme, using Agile, cloud technologies, microservices and Big Data.

Key Responsibilities

1. Creating complex, enterprise-transforming applications on diverse, high energy teams
2. Working with the latest tools and techniques
3. Hands-on coding, usually in a pair programming environment
4. Working in highly collaborative teams and building quality code
5. The candidate must exhibit a good understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
6. The candidate must have a good understanding of consumer financial products, data systems and data environments, and processes that are necessary for the implementation of Risk and Finance models

Essential Skills & Prerequisites

1. Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics) or Bachelor's/Master degree with 6 years of experience
2. Hand-on Development experience with Spark, ScalaSpark and Distributed computing.
3. Development and implementation experience of applications for 4-6 years.
4. 4 to 6 years' experience designing and developing in Python.
5. 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)
6. 3 to 5 years' experience with Unix shell scripting
7. 3 to 5 years' experience with SQL
8. 2 to 3 years' experience with Spark programming.
9. Knowledge of micro-services architecture and cloud will be added advantage.
10. Knowledge of Java and Scala will be added advantage

Julian Grey’s client is a Singapore based solution provider for high quality IT security products to value add to their MNC clients & channel partners and has been in the market for more than 2 decades.

Location: East

Timing: 8am - 8pm, 8pm - 8am (Rotating Shift with 2 days off)

Benefits

• AWS and performance bonus
• Annual salary increment (subject to performance evaluation)
• Medical and Dental

Job Responsibilities

• Oversee building and data centre facilities components, including Building Management System, Fire Detection and Protection systems, Energy Management System, Chiller, Electrical
• Conduct troubleshooting and maintenance of facility equipment
• Manage contracts for facilities and equipment maintenance
• Prepare monthly SLA reports for equipment uptime, power usage & temperature readings
• Responds to emergency and be on 24x7 standby
• Oversee new data centre projects including renovation and maintenance
• Responsible for site inspections / audits by authorities
• Scheduling and tracking of servicing jobs and vendor management

The Ideal Candidate

• Educational qualification in Electrical / Mechanical Engineering or equivalent
• At least 1 – 2 years’ relevant experience in DC facility management and vendor management

Follow us for more updates, interview tips!

https://www.instagram.com/juliangreygroup/

https://www.linkedin.com/company/juliangreygroup/

https://www.facebook.com/juliangreygroup/

Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants

Please WA Bryan Tay @ 97559161

Shortlisted Candidates will be notified

Bryan Tay Reg No. R23112463

Julian Grey Corporate Advisory Pte. Ltd.

EA License No: 19C9568

Mandatory Skills

The Opportunity
Leveraging the latest technology to develop mission critical applications from scratch. design, develop, test and deploy new applications as part of the strategic transformation programme, using Agile, cloud technologies, microservices and Big Data.

Key Responsibilities

1. Creating complex, enterprise-transforming applications on diverse, high energy teams
2. Working with the latest tools and techniques
3. Hands-on coding, usually in a pair programming environment
4. Working in highly collaborative teams and building quality code
5. The candidate must exhibit a good understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
6. The candidate must have a good understanding of consumer financial products, data systems and data environments, and processes that are necessary for the implementation of Risk and Finance models

Essential Skills & Prerequisites

1. Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics) or Bachelor's/Master degree with 6 years of experience
2. Hand-on Development experience with Spark, ScalaSpark and Distributed computing.
3. Development and implementation experience of applications for 4-6 years.
4. 4 to 6 years' experience designing and developing in Python.
5. 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)
6. 3 to 5 years' experience with Unix shell scripting
7. 3 to 5 years' experience with SQL
8. 2 to 3 years' experience with Spark programming.
9. Knowledge of micro-services architecture and cloud will be added advantage.
10. Knowledge of Java and Scala will be added advantage

Roles & Responsibilities

• Microservices dev with Java and spring boot; Kafka; MongoDB and MariaDB
• Manage Operations on PCF, OCP, VPC, Jenkins, AWS
• Data engineering with Spark and Python
• Release management

Requirements

• 7 to 10 years experience in Microservices dev with Java and spring boot; Kafka; MongoDB and MariaDB
• Experience on PCF, OCP, VPC, Jenkins, AWS
• Data engineering with Spark and Python experience
• Release management experience
• Excellent tech and business stakeholder management

Roles & Responsibilities

• Microservices dev with Java and spring boot; Kafka; MongoDB and MariaDB
• Manage Operations on PCF, OCP, VPC, Jenkins, AWS
• Data engineering with Spark and Python
• Release management

Requirements

• 7 to 10 years experience in Microservices dev with Java and spring boot; Kafka; MongoDB and MariaDB
• Experience on PCF, OCP, VPC, Jenkins, AWS
• Data engineering with Spark and Python experience
• Release management experience
• Excellent tech and business stakeholder management

Your career at NTT DATA Business Solutions

Empowering You – to feel our passion for SAP / Analytic Solutions / ServiceNow

As NTT DATA Business Solutions, we are more than just a company. We are a team of innovative and passionate people who specialize in creating value-added SAP and Analytic solutions and guiding our customers on their journey to becoming intelligent businesses. We focus on SAP Consulting, SAP Development, Data Analytics, ServiceNow, Managed Cloud Services, Application Management Services (AMS) & Technology and beyond.

Our success is based on TOGETHERNESS, INNOVATION, TRUST, and SUSTAINABILITY – this is the heart of our corporate culture.

As part of the global NTT DATA Group, one of the top 10 IT service providers worldwide, we stand for our open and sustainable acting. More than 15,000 employees from 64 nations in over 30 countries show that diversity is integral to our DNA and that we live tolerance and respect every day.

People are the key to our success. We believe that every individual can make an important contribution and are therefore constantly on the lookout for talented people who can actively strengthen our team.

Are you ready to break new ground?

Key Responsibilities:

• Able to write the Technical Specifications based on functional specifications provided by the client.
• Able to estimate the effort of tasks based on Technical Specification and Functional Specifications.
• Perform the impact analysis.
• Development of the task based on the written Technical Specifications.
• Follow the organizational SDLC processes to deliver the project or enhancement requests, and create/update the SDLC documents including functional and non-functional specifications, technical design documents, test plans, test cases, release procedures, system operational documents, user manuals, etc.

Qualifications:

• At least 4 years of experience in SSIS (Must), ETL
• Strong knowledge of SSIS, Azure Data Factory, Talend, and Informatica.
• Excellent communication and interpersonal skills, with the ability to build relationships with clients and team members
• Strong problem-solving skills, with the ability to think creatively and strategically to solve complex problems
• Proven ability to lead project teams, prioritize tasks, and deliver projects on time and within budget
• Experience in other BI technologies, such as Tableau or QlikView

This is a 12 months contract assigned to our client

Work Loction: To be confirmed

Salary Range: $5,000-$7,500

Only Singaporean as the access requires high level of Securty Clearance

Job Description

1. Perform the data rectification as detailed in Service Requests (SR).

2. Where required, clarify requirements in the SR with the requester or other stakeholders

prior to performing the data rectification.

3. Use SAP HCM, SAP adhoc queries and/or Microsoft Office tools to profile data for issue and

discrepancies.

4. Propose, document and implement improvements to the current work processes to increase

efficiency and/or to avoid audit issues.

Pre-requisite for Junior Data Patching Administrator

1. Should possess a Degree / Diploma in Computer Science, Information System, Science, Engineering

or Equivalent

Skillset

1. Functional Test Planning

2. Systems Development Lifecycle (SDLC)

3. SAP HR experienced.

4. Good planning and coordination skills.

5. Strong writing, verbal communication

6. Presentation skills.

Mandatory Skills

The Opportunity
Leveraging the latest technology to develop mission critical applications from scratch. design, develop, test and deploy new applications as part of the strategic transformation programme, using Agile, cloud technologies, microservices and Big Data.

Key Responsibilities

1. Creating complex, enterprise-transforming applications on diverse, high energy teams
2. Working with the latest tools and techniques
3. Hands-on coding, usually in a pair programming environment
4. Working in highly collaborative teams and building quality code
5. The candidate must exhibit a good understanding of model implementation, data structures, data manipulation, distributed processing, application development, and automation.
6. The candidate must have a good understanding of consumer financial products, data systems and data environments, and processes that are necessary for the implementation of Risk and Finance models

Essential Skills & Prerequisites

1. Degree in computer science or a numerate subject (e.g. engineering, sciences, or mathematics) or Bachelor's/Master degree with 6 years of experience
2. Hand-on Development experience with Spark, ScalaSpark and Distributed computing.
3. Development and implementation experience of applications for 4-6 years.
4. 4 to 6 years' experience designing and developing in Python.
5. 4 to 6 years' experience in Hadoop Platform (Hive, HDFS and Spark)
6. 3 to 5 years' experience with Unix shell scripting
7. 3 to 5 years' experience with SQL
8. 2 to 3 years' experience with Spark programming.
9. Knowledge of micro-services architecture and cloud will be added advantage.
10. Knowledge of Java and Scala will be added advantage

Responsibilities:

This role will be responsible for a variety of data center functions, including:

• Assist with incident, change, and problem management
• Manage Data Centre inventories – equipment, testers, consumables, etc.
• Fault troubleshooting and rectification
• Support Planned Activities such as network / facilities upgrade, new installation
• Maintain documentation / records, procedures and communication
• Manage & Supervise subcontractors and third-party vendors
• Project Management for special network & facilities implementation
• Compliance with standards of Data Center – PCI-DSS & ISO27001
• Implement physical security access control
• Handle customers’ requirement such as delivery acceptance, remote hand supports, etc.
• Handle customers’ order such as provisioning of cages, racks and cross connects
• Monitor and supervise data centre facilities maintenance
• Review and improve operational processes
• Able to perform day and night shift duty
• Work directly with the Global Service Operations Center, Global Service Desk, Security, and Facilities Management teams to maintain data center hosting integrity, during provisioning and troubles resolution
• Work closely with various departments such as DC Engineering, Sales and Finance
• Work closely with colocation clients to ensure their remote hand requests are carried out & met
• Work closely with security and facility team to deliver good customer experience and to ensure our SLAs are met

Requirement:

• Degree or Diploma in Engineering, Data Centers, Telecommunication, IT discipline
• 2 - 4 years’ experience in Data Centers or similar environment experience.
• Knowledgeable of building facilities Electrical & Mechanical (HVAC, CCTV, security access, BMS Fire protection system).
• Knowledge of PCI-DSS & ISO 27001
• Relevant network certifications (e.g. CCNA, CCNP)
• Establish and maintain effective working relationships with peer groups and key internal stakeholders and maintain agreed external stakeholders relationships relevant to the achievement of business objectives
• Knowledge of test equipment such as circuit tester, Optical Power Meter etc.
• Knowledge in using Data Center Infrastructure Management Systems & Building Management System
• Project & Inventories Management
• Strong process, procedural, analytical and problem-solving skills
• Good customer facing skills
• Able to works shifts and under minimum supervision
• Able to work independently and under stress
• Excellent interpersonal, influencing and negotiation skills.
• Excellent written and verbal skills required
• Able to do shift work (12 hours)

Seeking Singaporean to join as Data Center Operator (Changi T2)

Office hours Mon to Fri 8.30am - 6pm

If you possess basic knowledge of IT (entry level) & able to use MS word, excel, outlook, you are eligible to apply for this role in Changi T2 work environment for exposure to Data Center job.

Job Level: Entry /Junior

Jobscope:

· Monitor Server and application health.

· batch job & monitoring

· backup job & Monitoring

· Escalation and alert notification.

· Escort DC visitor.

· Support Building management maintenance, E.g. power maintenance, Aircon

· Support security advisories,

· Remote monitoring service,

· support DR activity.

· Support and execute task assign by the Project manager.

· Printing service management.

Ø To ensure all the task is completed
To ensure all the system is well taken care and monitor,
To ensure all back up is executed.
to ensure all batch job is executed.

Job Requirements:

• Singaporean with NITEC Min (IT or relevant)
• Basic IT knowledge & able to use MS Words, Excel, Outlook
• Willing to serve 2 months notice upon you start work on this role.
• 24X7 support standby is required

Senior Data Storage Engineer

Contract: 12 months

Job Descriptions

• Design, configure, develop, integrate, test, implement, document to support the storage infrastructure ecosystem.
• Work with different teams to explain requirements and suggest the appropriate storage systems and backup solutions and procedures.
• Build storage systems for information and networks for large enterprises that can cater to thousands of users at the same time.
• Facilitate the designing of the concepts and procedures, besides handling resource allotment.
• Maintain the fiber channel switches and SAN arrangements by ensuring that software and firmware are in keeping with the latest needs of the organization.
• Work with vendors to fix issues.
• Research new technologies to find out if they suit their organization’s existing infrastructure. Otherwise build appropriate infrastructure to fit them for the organization needs
• Set up and maintain documentation of the existing technology and solutions.
• Design the concept and process and handle resource allocation.
• Creating data usage and precise performance reports with office applications.
• Technology - storage and backup, Netback, Veeam, ArcServ
• Degree in Computer science or Equivalent
• At least 5-8 years of experience working with Data storage including 1-3 years of implementation experiences

Company Reg No.: 201131609D, Licence No.: 11C4684, EA Reg no: R1655133, Ashraf Ali

Data Entry cum Admin Clerk | Training Provided | Bookeeping Background | Downtown

• Mon - Fri, 5 days | 8.30am - 6pm
• Salary: $1800 - $2200
• Location: Cecil street (Downtown)

Job Responsibilities:

• Handle partial set account (Account receivable, Account payable, receipt, bank recon)
• Manage administrative duties
• Data Entry
• Other Ad hoc duties as assigned

Requirements:

• Training Provided

The Supreme HR Advisory Pte Ltd | 14C7279

Ong Boon Kiet (Travys) | R22104769

Senior Recruitment Consultant

We are looking for Sr DATA ENGINEER with below skills

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Solid understanding and hands-on experience with RDBMS platforms like Singlestore/Memsql, MySQL, Teradata, Oracle, Postgres, Snowflake, and SAP HANA.
• Proficiency in Python programming and familiarity with data manipulation libraries such as Pandas and NumPy.
• Strong skills in PL/SQL development and Unix Shell Scripting.
• Experience in data visualization using Tableau and Python libraries such as Matplotlib and Seaborn.
• Knowledge of Hadoop ecosystem components and HQL for data processing.
• Familiarity with NoSQL databases, particularly HBase.
• Practical experience in implementing supervised and unsupervised machine learning algorithms.
• Experience with ETL tools such as Autosys, Airflow, Unix scheduler, Kafka, and Spark.
• Proficiency in managing cloud services on AWS, especially S3, EC2, AMR, and EKS (Kubernetes).
• Experience in developing web services using JAVA, HANA xsjs, and Python Flask is a plus.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and collaboration skills to work effectively in a team environment.

**We regret that only short-listed applicants will be contacted.**

GECO Asia values the data privacy rights of our customers, associates, partners and prospective applicants. We have a privacy policy that governs our collection and use of personal data in place. In conjunction with the PDPA act in Singapore, we have updated our Privacy Policy and Terms of Use to better clarify our collection and use of your personal information. The same can be found here (https://www.geco.asia/about/privacy-policy)

Note: GECO Asia is an Information Technology Consulting Services provider. We provide specialist IT and Digital Transformation specialist resources on a project (SOW) and/or permanent basis. We operate under a Comprehensive License offered by Ministry of Manpower, Singapore.

[GECO Asia Pte Ltd, Licence No. 07C4453]

[2 Venture Drive, #10-18, Vision Exchange, Singapore 608526]

This is a 12 months contract assigned to our client

Work Location: To be confirmed (during interview)

Salary Range : $7,000-$8,500

Job Description

1. Using the Talend ETL toolset, to create new and maintain existing ETL jobs.

2. Design and implement ETL for extracting and transforming data from diverse sources, such as:

Cloudera, PostgreSQL, and SQL Server databases.

3. Design and develop database tables necessary along with the necessary constraints as per

the requirement.

4. Collaborate with Team members to understand source system structures and data retrieval

methods/techniques, and tools within the organization.

5. Support the development of data transformation logic using ETL tools or scripting languages like

SQL, Python, etc.

6. Clean, validate, and transform data to conform to target schema and quality standards.

7. Work with the Team to execute data quality improvement plans.

8. Participate in troubleshooting activities to maintain data integrity and process efficiency.

9. Experience with Talend, Python and Spark

10. Should have good knowledge and working experience in Database and Hadoop (Hive, Impala, HDFS).

11. Understanding of data-warehousing and data-modeling techniques

12. Knowledge of industry-wide visualization and analytics tools

13. Good interpersonal skills and positive attitude qualifications

14. Degree in computer science, mathematics, or engineering

Job Responsibilities:

• Collate large, complex data sets from diverse data sources
• Responsible for data preparation, data mining, to generate and identify opportunities through analytics.
• Perform exploratory data analysis and provide rapid iterations to refine issues and identify potential solutions
• Interpret and effectively communicate analytical findings and insights to both technical and non-technical stakeholders, facilitating data-driven decision-making
• Play a role in advancing data science infrastructure, tools, and frameworks to enhance efficiency in data analysis, experimentation, and model deployment
• Abide and adhere to data governance policies in servicing data extraction or report requests, metrics and dashboards

Job Requirements:

• Master’s / Bachelor’s Degree in a quantitative discipline (e.g., statistics, biomedical informatics, computer science, applied mathematics, or similar), with 3 years of relevant experience
• Possessed experience with Python, R, or similar programming languages
• Working knowledge of data analysis tools and databases
• Strong analytical skills, with experience solving problems using data and providing practical business insights
• Comfortable with dealing with sets of data points from different sources
• Excellent communication and interpersonal skills to effectively collaborate with diverse stakeholders

To apply, please visit www.gmprecruit.com and search for Job Reference: 24105

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

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Law Yi Fang | Registration No: R1113115

Company’s Profile
Julian Grey’s client is a solution provider for security and enterprise applications.

Responsibilities

• Contribute to building and maintaining data systems or pipelines.
• Perform setup, installation, configuration, troubleshooting, and upgrades for COTS products.
• Develop and implement improvements for data warehouses, data lakes, or equivalent platforms.
• Participate in creating documentation, including design documents and troubleshooting guides.

Requirements

• Possess knowledge and/or hands-on experience in data management or data engineering.
• Demonstrate proficiency in Linux commands, shell scripting, and various programming languages.
• Experience with relational databases and NoSQL databases, data integration tools such as Talend, DataStage, Denodo.
• Familiarity with data/search/automation platforms and analytics tools such as Hadoop, Elasticsearch
• Analytics platforms such as Databricks, Dataiku, Data Robot
• Knowledge and/or practical experience with Microsoft Azure Cloud services such as Azure Data Factory, Azure Synapse Analytics

Follow us for more updates, interview tips!
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https://www.linkedin.com/company/juliangreygroup/
https://www.facebook.com/juliangreygroup/
Our telegram channel for job opportunities - https://t.me/jobopportunitiessg

Interested Applicants
Please WA Jian Wei @http://wa.me/6587389860
Shortlisted candidates will be notified

Quek Jian Wei
Reg No. R22110928
Julian Grey Corporate Advisory Pte. Ltd.
EA License No: 19C9568

The Senior Data Analyst role is important to:

• Lead and implement Student Data Analytic Projects that aid data-informed decision-making and reporting, as well as to enhance student experience.
• Manage Student Data Catalogue and metadata in Denodo virtual data warehouse and develop integrated datasets for data analytics and reporting.
• Fully implement and enforce the Student Data Governance Framework and extensive adoption of the framework by Colleges, Schools, and Departments, that ensures data quality which is most critical for Data Analytics.
• Train end-users on new reports and dashboards.

Responsibilities

• Leading the implementation of Student Data Governance (SDG) framework across Student Admin Departments, Colleges, and Schools; Secretariat support to the SDG Steering Committee Meetings.
• Leading and conducting Data Quality (DQ) Assurance programme across different data areas and monitor DQ via developing DQ dashboard.
• Developing and managing student data catalogue for management reporting and data analytics projects.
• Driving the adoption of NTU Education Dashboards to support decision-making at different level of the University.
• Leading, developing, and managing data analytics projects to provide enhanced insights from student data, such as student profiling, data analysis to support policy maker in relevant policies, predictive analysis of students at-risk, degree programme quality assurance analysis, student quantitative or qualitative feedback analysis using Natural Language Processing (NLP).
• Training staff in data-related framework, concepts, and competency in data analytics.
• Supporting business data users in student admin process automation.

[The role is expected to lead and facilitate, in addition to execution.]

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, or Mathematics.
• Over 7 years of professional experience in data analytics and data governance.
• Demonstrated technical proficiency in data models, database design and development, data mining, and machine learning techniques. Familiarity with Natural Language Processing (NLP) is advantageous.
• Strong familiarity with data visualization tools such as Qlik Sense, along with programming proficiency in Python/R and SQL.
• Experience with Robotic Process Automation (RPA) tools like UiPath and Power Automate is a plus.
• Proven track record in planning and executing data analytics projects to meet business objectives.
• Excellent communication skills, capable of effectively liaising with business stakeholders to understand data requirements and deliver actionable insights.

We are looking for a Senior Data Engineer to join our data engineering team. If you are passionate about solving problems and making improvements through data and technology, we are eager to talk to you. The ideal candidate has both a willingness and desire to work in a dynamic environment, is able to apply Agile methodologies in day-to-day activities, and is a self-motivated developer who also enjoys working in a team environment. Our people have a creative, innovative, fun, and collaborative attitude, and are dedicated to creating new and valuable solutions for HP.

The Senior Data Engineer applies advanced subject matter knowledge to solve complex business issues and is regarded as a subject matter expert. Frequently contributes to the development of new ideas and methods. Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors. Leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives. Acts as an expert providing direction and guidance to process improvements and establishing policies. Frequently represents the organization to external customers/clients. Exercises significant independent judgment within broadly defined policies and practices to determine the best method for accomplishing work and achieving objectives. May provide mentoring and guidance to lower-level employees.

Responsibilities

You will design, develop, test, modify, deploy, and document solutions and services in both local and cloud-based deployments of our Big Data infrastructure. Create solutions using current programming languages and tools and interact with team members, customers, and partners to define requirements. Collaborate with stakeholders and data scientists to analyze, extract, and report meaningful insights from data collected.

A senior data engineer:

• Provides core contributions to multiple products, projects, solutions and processes through all stages of the development lifecycle including but not limited to design, analysis, coding, testing and integration.
• Is a highly skilled technical leader responsible for key system areas and ensures that changes are delivered with high quality and that best practices are used.
• May lead cross-team or cross-organization technical efforts related to the application design and development.
• Reviews and evaluates designs and project activities for compliance with applications design and development guidelines and standards; provides tangible feedback to improve product quality and mitigate failure risk.
• Provides domain-specific expertise and overall software leadership and perspective to cross-organization projects, programs, and activities.
• Drives innovation and integration of new technologies into projects and activities in the software applications design organization.
• Provides guidance and mentoring to less-experienced staff members.
• Participates in analyzing requirements and high-level designs.
• Implements, tests, and maintains software modules created.
• Participates in code reviews.
• Gives input to management on task duration estimates, technical information, and issue resolution.
• Provides domain-specific expertise and perspective to partners.
• Maintains awareness of new tools, environments, and methodologies being used in the Big Data space.
• Recommends ways to improve data reliability, efficiency, and quality.
• Develops processes for data modeling, mining, and reporting.
• Researches opportunities for acquiring new data and new uses for existing data.

Qualifications

• Typically 5+ years of experience in software or data engineering.
• Extensive experience in data modeling, data integration and processing of structured and unstructured data.
• Proficient in one or more programming languages (Python preferred).
• Strong SQL proficiency (experience with NoSQL – advantage).
• Experienced with Apache Spark
• Excellent communication skills; mastery in English and local language.
• Ability to effectively communicate product architectures, design and change proposals.

Additional preferred qualifications / advantages

• Databricks
• Pandas
• Dataiku
• Familiar with best practices of the data and software engineering lifecycle and/or best practices of the above platforms and tools.
• Scala

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.