Total 10,269 Full-time data entry clerk job vacancies in Singapore

Company benefits:

• Guaranteed AWS
• Fixed monthly attendance allowance + OT pay eligible
• Performance bonus
• Increment after probation (subject to performance)
• 1 year cash completion bonus

Work location: Woodlands

Working hours: 12 hours shift work, (4 days work, 3 days off | 3 days work 4 days off)

Job Responsibilities:

• New & old parts arrangement & logistic (maintenance room, store to tool side).
• Preparation & housekeeping of PM jigs & tools.
• Perform robot PM: parts cleaning & greasing, replacement of sensors, motors, motor drivers etc.
• Installation of vacuum valves, fore line pipes, heater jackets.
• Support tool owner engineer to do technical activities in fab: trouble shoot, modification, installation, de-installation.
• Support 6S & logistic activities (parts cleaning, arrangement, labelling, housekeeping.

Requirements:

• Min. NITEC in any Engineering field or equivalent certification
• Willing to do hands-on work and comfortable to be in cleanroom suit
• Work experience in semiconductor industry will be an added advantage
• Able to work on weekends

WhatsApp me @ wa.me/658512 5305 for a prompt response to your enquiry!

By submitting 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.

Please by notified that only shortlisted candidates will be informed.

Your recruiter for this job: Stella
Stella Aw Yong See Hui | R24121552
Recruit Now Singapore Pte Ltd | EA No: 21C0845

Working Hours: 5.5 days office hours + Rostered on call (1 week every 2 months)

Location: Central

Job Scope:

- Assist the Radiologist/Cardiologist and other Specialists in Diagnostic Imaging procedure and invasive procedure in CVL. Also inserts brannula at radiologists instructions for contrast examinations.

- Prepare sterile trolleys and sets up equipments/ accessories for Diagnostic Imaging and CVL procedures.

- Perform Newborn Hearing Screening and ECG.

- Ensure that patients fill up the Consent Form for special examinations such as MRI, IVP, CT Scan and other invasive procedures etc

- Ensure that all special preparation for diagnostic imaging is instructed to ward staff/ patient or relatives and complied with.

- Explain the procedure of the special examination to patients and reassures patient whenever required.

- Help patients to get changed for radiography procedure.

- Ensure that all medication chart and documentation notes are filled in properly for the procedure

- Check Emergency Trolley for expiry dates of drugs and instruments.

- Conduct monthly departmental inventory check.

- Ensure that there is an adequate stocks of surgical and pharmaceutical products, dry store, kitchen store and C.S.S.D. store.

- Assist at the reception when necessary.

- Attend and contributes to departmental staff meetings.

- Participate in departmental activities such as quality assurance and performance appraisal.

- Undertake other duties and tasks as might from time to time be requested by the Manager.

Job Requirements:

- Min. Diploma/ Degree in nursing

- Valid SNB & BCLS

For interested applicants, please send your updated resume to: [email protected]
All candidates’ information will be treated with the strictest confidence
Melissa Zhang Zhiqi (Mezzo)
R2197564
Recruit Express Pte Ltd
99C4599

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Data Engineer

• 6 months contract with a possibility of extension
• Work location: CBD

Our Client

• MNC IT company

The Opportunity

• Work across workstreams to support data requirements including reports and dashboards
• Analyze and perform data profiling to understand data patterns and discrepancies following Data Quality and Data Management processes
• Understand and follow best practices to design and develop the E2E Data Pipeline: data transformation, ingestion, processing, and surfacing of data for large-scale applications
• Understand business requirements to translate them into technical requirements that the system analysts and other technical team members can drive into the project design and delivery
• Analyze source data and perform data ingestion in both batch and real-time patterns via various methods; for example, file transfer, API, Data Streaming using Kafka and Spark Streaming
• Analyze and understand data processing and standardization requirements, develop ETL using Spark processing to transform data
• Understand data/reports and dashboards requirements, develop data export, data API, or data visualization using Power BI, Tableau, or other visualization tools

Your Background

• More than 3 years of experience in data engineering fields
• Data Engineering skills: Python and Databricks
• Preferably with working experience in AWS cloud

Interested parties please click "Apply Now" or contact May Anne Ramos (EA Reg no: R1110127) at [email protected] for more information.
Peoplebank Singapore Pte Ltd, EA Licence Number: 08C5248.

Job Title: Data Engineer (6-month Contract)

Experience Required: 3-5 years

Key Responsibilities:

• Develop and optimize data pipelines and workflows using Databricks.
• Write and maintain efficient, scalable Python code for data processing.
• Integrate, manage, and process data on AWS cloud infrastructure (preferred).
• Collaborate with cross-functional teams to ensure data quality and integrity.
• Troubleshoot and resolve data-related issues in a timely manner.

Key Requirements:

• 3-5 years of hands-on experience in Databricks and Python.
• Proven experience with AWS cloud services (preferred).
• Strong problem-solving skills and attention to detail.
• Ability to work independently and meet project deadlines.

Data Engineer

• Design, develop, and maintain scalable data pipelines using Hadoop, Apache Spark, and related Big Data technologies.
• Implement ETL (Extract, Transform, Load) processes to manage large-scale data from various sources.
• Collaborate with cross-functional teams to define data architecture, data models, and pipelines that support banking applications and analytics.
• Develop and optimize complex SQL queries for data extraction, aggregation, and transformation.
• Work with business stakeholders to understand banking requirements and translate them into technical specifications for data solutions.
• Implement data quality controls and performance optimization techniques for high-volume data systems.
• Ensure adherence to data governance, security, and compliance guidelines in the banking industry.
• Continuously monitor and improve the performance of existing data solutions, including troubleshooting and debugging issues.
• Contribute to the integration of new tools and technologies in the data ecosystem to support ongoing projects and innovation.
• Experience in data engineering, with a focus on Hadoop and Apache Spark.

Key skills

• Hadoop, Spark, SQL, ETL, Kafka, Hive, HBase
• Strong experience in SQL, including complex queries, optimization, and performance tuning.
• Experience in the banking or financial services industry is highly preferred.
• Proficiency in data warehousing concepts and hands-on experience with ETL tools.
• Familiarity with distributed systems and large-scale data processing.
• Solid experience with Linux/Unix scripting and working knowledge of shell scripting.
• Experience with cloud platforms such as AWS, Azure, or GCP is a plus.
• Knowledge of Kafka, Hive, HBase, or other Big Data tools is an advantage.
• Excellent problem-solving and debugging skills.

Interested candidates, please send your CVs on [email protected]

Regret to inform that only shortlisted candidates will be notified.

CEI: R1988671

EA License: 14C7275

• Min 3 years of experience.
• At least 5 years of data-related working experience, with at least 3 years of hands-on experience in data management and data analytics in the finance, investment, banking, and asset management industries.
• Good understanding of the principles, key controls and processes relating to data management.
• Good at working with details and is meticulous in operations and tasks.
• Good understanding of data modelling.
• Good understanding on OLTP, Data Lake, Lakehouse technologies that may include knowledge of Snowflake, S3, AWS Glue, DeltaLake, DataBricks.
• Good understanding of CI/CD pipelines, DevOps, DataOps, and their applicability in financial services.
• Experience in working with databases using database technologies (e.g. MS SQL, Snowflake, Redshift and PostgreSQL) and data integration products (e.g. Informatica, Data Factory, Bash).
• Extensive data-related experience in programming languages eg Python, SQL, Scala, Javascript, and similar.
• Experience in working with business intelligence and data visualization tools e.g. Tableau, PowerBI.
• Experience with SDLC methodology and/or agile methodologies like Scrum and Kanban and its related applications eg Confluence and JIRA.
• Good team player, with strong analytical skills and enjoys complex problem solving.
• Experience in data engineering platforms and virtualization eg Denodo, Jupyter, O365.
• Excellent written and spoken English and strong presentation skillsets.
• Strong inter-personal and people leadership skills to interact with diverse stakeholders.

Responsibilities:

• Working closely with data analysts and business end-users to implement and support data platforms using best-of-breed technology and methodology.
• Implement and design robust and scalable solutions to meet business needs and take operational considerations into account. Demonstrate technical expertise in the assigned areas.
• Manage operations and maintain SLAs. Implement automation in data management. Collaborate with data engineering, architecture, and governance.
• Perform data and metadata quality, modeling, lineage, cleansing, onboarding, registration, discoverability, access controls, migration, optimization, and cataloging. Execute, maintain and manage the whole data lifecycle.
• Conduct requirement workshops with stakeholders, analyze and translate business and other requirements holistically into data strategies, plans, and actions.
• Cover all aspects of data distribution and data service.
• Design and implement scalable data pipelines and data service modules with robustness in mind to support the growing demands from business users.
• Analyze and resolve day-to-day operational incidents and advisory to business users.
• Listen to upstream changes, perform impact analysis and mitigate-modify-implement.
• Do impact analysis, inform and distribute to downstream users and applications.
• Analyze systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency etc.) to identify actionable trends for continual improvements.
• Data, application, and system checking and testing (eg UAT), CICD and go-live.

Responsibilities:

· Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives

· Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions

· Ensure data quality and integrity throughout the data processing lifecycle

· Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques

· Optimize data engineering workflows for containerized deployment and efficient resource utilization

· Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability

· Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance

· Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements

· Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure

· Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference

· Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps

· Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank

Requirements:

· Proven experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments

· Strong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)

· Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes

· Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java

· Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)

· Experience with Graphana, Prometheus, Splunk will be an added benefit

· Strong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges

· Excellent collaboration and communication skills to work effectively with cross-functional teams

· Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment

· Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

1. Data Pipeline Construction

• Design, develop, and maintain data pipelines, ensuring a smooth flow of data from multiple sources to data warehouses or lakes.

• Enable, maintain, and support pipelines to provide unified and reliable data sources.

2. Data Architecture Design

• Responsible for designing and maintaining data architecture.

• Use technologies, databases, and storage solutions to handle data efficiently and securely.

3. ETL Processes

• Perform Extract, Transform, Load (ETL) operations: - Extracting data from various sources - Transforming raw data into a structured format - Loading the processed data into storage systems for analysis

4. Data Quality Assurance

• Implement data cleaning and validation processes to enhance data accuracy and consistency.

• Monitor data quality and optimize performance to ensure reliable and usable data for analysts and data scientists.

5. Scalability and Optimization

• Design systems that can handle large volumes of data,

• Ensure scalability of data infrastructure.

• Improve and optimize data storage and retrieval.

6. Data Governance

• Implement data governance and security measures to ensure compliance

• Create, manage, and implement policies, standards, and documentation

7. Data Analytics & Reporting

• Project Management of Data Analytics deliverables

• Create, publish, and admin Power BI reports and dashboards

• Delegate, Manage, and Coordinate with the extended Data Analytics team

Mandatory Skills

1. Programming

• Python

• SQL

• ETL

2. Database Management

• MS SQL Server Environment

• Data integration tools such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics

3. Power BI Expertise:

• DAX, Power Query, and creating advanced data visualizations.

• Experience in Data Modelling techniques 4. Azure Cloud Environment

• Proficiency in Azure cloud platform, including

• Azure SQL Database, Azure Data Lake Storage

• Azure Analysis Services

• Azure Data Studio

5. Useful experiences

• Machine Learning

• Artificial Intelligence

6. Required Soft Skills

• Problem-solving

• Collaboration

• Communication

Qualifications and Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field

• Strong programming skills in languages such as Python, Java, or Scala

• Expertise in SQL and experience with both relational and NoSQL databases

• Proficiency in data modeling and database management

• Experience with big data technologies like Hadoop, Spark, and Kafka

• Strong experience in Azure cloud platforms

• Knowledge of data warehousing concepts and technologies

• Experience with ETL tools and processes

• Strong analytical and problem-solving skills

• Excellent communication and collaboration abilities

• 5+ years of relevant experience in data engineering, data analytics or must have been in a similar role

Preferred Skills

• Azure Data Engineer certification

• Azure Data Analytics and PowerBI certifications

• Experience with AI/ML will be advantageous

• Strong experience in data visualization tools and techniques

• Familiarity with agile delivery methodologies

Interested applicants please send your resume to [email protected]

Venessa Goh Wee Ni

R24124686

Recruit Express Pte Ltd

EA License No: 99C4599

RCB No.: 199601303W

We are looking for a Market Data Specialist, Manager level to join our clients team. This is a 10 Months Contract role to start with a potential to extend.

KEY ACCOUNTABILITES:

· Maintenance of Market Data Inventory System.

· Stakeholders and Vendor management.

· Sourcing and onboarding of new Market Data (reference data, market indexes)

· Market Data usage and contracts renewal review.

· Vendor contract negotiation (terms and commercials)

· Relationship management with vendors for contractual aspects and follow-up.

· Costs monitoring: expenses validation and contribution in budget preparation.

· Contribution on adhoc projects and improvement initiatives.

EXPERIENCE / QUALIFICATIONS:

· Degree in Finance, Account or Business -related disciplines.

· Experience in large financial services institutions especially Asset Management and Investment Services sector.

· A deep understanding of asset management business (usage of data, processes, systems, controls and deliverables).

· Demonstrated experience in Market Data and hands on experience on related internal processes.

· Knowledge of Market Data vendor services/ products and contractual aspects.

· Experience of Market Data Inventory Systems such as FITS, InfoMatch, Optimize Spend or MDM.

· Ability to deal with business stakeholders

ARGYLL SCOTT CONSULTING PTE LTD

• Perform real time hardware & applications monitoring and response
• Perform 1st level of troubleshoot to allow resolution of the ticket within contractual duration
• Monitor applications, systems, devices, facilities and infrastructure according to standard procedure
• Perform data backup and tape operations according to the schedule defined
• Assignment of Incident to the resolver party
• Handle ad-hoc user account creation

Permanent, 5 days, Toa Payoh

Our client:

Data center Cooling Solution Provider

The candidate will be responsible for managing partnerships and channel relationships to drive growth and expand our market presence. This role requires a strategic thinker with excellent communication skills and a proven track record in the Data Center industry.

Job scope

1. External Partnership Management n channel management

· Identify, evaluate, and establish strategic partnerships with key stakeholders in the data centre industry.

· Have win win mindset and proficient with negotiating partnership agreements

· Develop and maintain strong relationships with

· Identify and onboard new channel partners (reseller , distributor)

· To develop n execute channel strategies to maximize market reach and sales performance.

· To engage with channel partners, including training, marketing materials, and joint marketing campaign

· Visit channel partners to offer support, gather feedback, and assess market needs.

Internal

· Work closely with internal teams, including sales, marketing, and product development, to ensure alignment and coordination.

Requirement:

• Bachelor’s degree in sales/marketing / mechanical engineering
• 3 years of experience in business development, partnership, and seller channel management in data centre industry.
• Able to travel as required.
• Experience in asia market an added advantage

please email your resume in microsoft word format to [email protected].

• Perform real time hardware & applications monitoring and response
• Perform 1st level of troubleshoot to allow resolution of the ticket within contractual duration
• Monitor applications, systems, devices, facilities and infrastructure according to standard procedure
• Perform data backup and tape operations according to the schedule defined
• Assignment of Incident to the resolver party
• Handle ad-hoc user account creation

Why choose your career with us?

Culture:

We work with vibrant and enthusiastic individuals that constantly seek to outshine the best! We welcome creative and innovative ideas from each and everyone. Team work makes the dream work!

Advancement & growth opportunities:

You’ll have the opportunity to grow and advance! We are part of a larger organization in 7 other countries, theres going to be upward advancements and rewarding opportunities. We provide a platform for you to learn and develop with no experience needed!

Your responsibilities:

- Follow up with leads

- Overcoming challenges and don’t be afraid to make mistakes

- Basic professionalism and communication with customers

- Brainstorm with top performers to executive strategic planning

People we are looking for:

- Solution finders

- Excellent listening skills and communication skills

- Great work ethics and learning attitude

- Team oriented individuals

Apply to stand a chance! Only shortlisted candidates will be notified.

Permanent, 5days, Paya Lebar

Our client

MNC in air conditioning and humidification system solution serving high tech industry

Data center Hvac Service Manager

Job scope
• Lead field service engineer team in data center hvac servicing and maintenance work
• Develop and implement maintenance schedules Hvac.
• Conduct regular site inspections to ensure maintenance quality and safety standards are met.
• Prepare detailed work method statement (wms) for maintenance Project and all mission critical work environment work documentation
• Ensure service team adhere to industry standards and safety regulations.


Requirement

-Diploma in Mechanical Engineering
- 5 years of experience in hvac maintenance, with at least 3 years in a senior engineer or management role.
- Proficient in hands-on experience with chiller, cooling towers, pumps equipment’s, AHUS,MAUs, FCUs,DX
-Strong technical skill and documentation knowledge of data center hvac equipmentmaintainence and troubleshooting

-Proficient in creating clear and comprehensive work method statements, pre work documentation, risk assessment etc

-Bilingual

Added advantage

Data center hvac

pls apply via https://zurl.to/YRDp?source=CareerSite

or

this website