Total 7 data entry clerk job vacancies in Information Technology category in D17 Loyang, Changi

About the job

As a Machine Learning Data Engineer at CAG, you will be responsible for designing, implementing, and maintaining the data pipelines and infrastructure that support our machine learning projects. You will work closely with data scientists, machine learning engineers, cloud engineer and other cross-functional teams to ensure the availability, reliability, and performance of our data systems. Your role will be critical in enabling the development and deployment of advanced machine learning models that drive key business insights and innovations.

This role requires a blend of technical expertise, project management skills, and the ability to deliver robust, scalable data solutions in a fast-paced environment.

Responsibilities:

1. Architect and implement scalable data solutions to address complex business challenges, leveraging advanced analytics, statistical methods, and machine learning techniques. Apply advanced data preprocessing, transformation, and enrichment techniques to ensure high-quality inputs for machine learning models.
2. Partner with data scientists and ML engineers to translate data requirements into actionable insights, optimizing feature engineering processes and model deployment strategies.
3. Construct and manage modern data infrastructure, including data warehouses and data lakes, to facilitate seamless data access for analysis and model training.
4. Continuously optimize data pipelines for performance, scalability, and cost-effectiveness, considering factors such as data volume, processing speed, and resource utilization.
5. Collaborate closely with DevOps and IT teams to ensure smooth deployment, monitoring, and maintenance of data pipelines in production environments.
6. Work cross-functionally to ensure adherence to data governance, security, and privacy regulations.
7. Stay at the forefront of data engineering and machine learning advancements, driving the adoption of best practices within the team.
8. Mentor junior team members and contribute to the overall data strategy of the organization.

Requirements:

1. Bachelor's or Master's degree in Computer Science, Engineering, or a related field with at least 5 years’ work experience
2. Extensive hands-on experience with cloud platforms, particularly AWS and GCP, including their data services and analytics offerings.
3. Strong coding skills with proficiency in:Infrastructure as Code (e.g., Terraform, CloudFormation)
   Shell scripting
   Python
   SQL
   
4. Deep understanding of big data technologies, distributed computing, and modern data architecture patterns. Proven track record in designing and implementing large-scale data solutions, including data pipelines, data warehouses, and data lakes.
5. Demonstrated ability to successfully deliver projects, meet milestones, and drive initiatives from conception to production.
6. Experience with data streaming technologies (e.g., Kafka, Kinesis) and batch processing frameworks (e.g., Spark, Hadoop).
7. Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
8. Strong problem-solving skills and ability to translate complex business requirements into technical solutions.
9. Excellent communication skills with the ability to collaborate effectively across cross-functional teams.

We are seeking a talented and a motivated Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will be responsible for designing, implementing, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to understand data requirements, optimize data models, and ensure the reliability and performance of our data systems.

Key Responsibilities:

 Design, develop, and maintain robust data pipelines to ingest, process, and transform large volumes of structured and unstructured data from various sources (e.g., Database, API, SFTP).

 Build and optimize data models and schemas to support efficient data storage, retrieval, and analysis.

 Implement data integration solutions to consolidate data from disparate systems and sources.

 Work closely with Data Scientists and Analysts to understand their requirements and provide them with clean, reliable, and well-structured data.

 Collaborate with DevOps and Infrastructure teams to deploy and manage data infrastructure in cloud environments (e.g., AWS, Azure).

 Familiar with the concept of data security to ensure the data pipelines are secured and PII (Personally Identifiable Information) data are encrypted.

 Monitor and optimize the performance, scalability, and reliability of data systems to ensure high availability and low latency.

 Design and develop MLOps production pipelines; provide technical support to data scientists/ML engineers by getting their ML/DL models deployed at scale and meeting SLAs on both cloud and on-premises GPU and CPU instances.

 Develop and maintain documentation, standards, and best practices for data engineering processes and technologies.

 Stay current with emerging technologies and trends in data engineering and contribute to the continuous improvement of our data architecture and practices.

 Explore, evaluate, and champion the introduction of next-generation technologies in the data-ingestion workflow. Participate in project planning and provide technical guidance on cloud architecture for data projects.

Requirements:

 BS in Computer Science or other related discipline is required. Advanced degrees in Computer Science (PhD, MS) are highly desirable.

 Proven experience (3 years) working as a Data Engineer or in a similar role.

 Strong proficiency in programming languages such as Python. Conversant with data structures and algorithm design.

 Hands-on experience with distributed computing frameworks and big data technologies such as Spark, Kafka, etc.

 Proficiency in SQL and experience with relational databases (e.g., Azure SQL DB, AWS Redshift).

 Experience with data modelling, ETL/ELT processes, and data warehousing concepts.

 Familiarity with cloud platforms and services (e.g., AWS S3, AWS Step Functions, AWS Airflow, Azure Data Logic Apps, Azure Blob Storage).

 Experience with setting up SSO using AD and implementing RBAC (Role Based Access Control) for data security.

 Excellent problem-solving skills and attention to detail.

 Effective communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

 Experience with version control systems (e.g., Git) and CI/CD pipelines is a plus.

Duties & Responsibilities:

• Transfer data from hard copy to a digital database.
• Verify outdated data and make any necessary changes to records.
• Input text-based and numerical information from source documents.
• Sort and organize hard copies of paperwork after entering data electronically.
• Review data for deficiencies or errors.
• Provide data entry support across departments on an ad-hoc basis.
• Type in data quickly and efficiently.

Requirements:

• Minimum “N” Levels or equivalent.
• Mature, responsible and able to work with minimal supervision.
• Able to start work immediately or within short notice.

Additional Information:

• Working Location: Alps Ave.
• Working Hours: 5.5 working days, Day and Afternoon shift. Afternoon shift allowance provided.
• Company Transport: Pick-up points - Bedok, Pasir Ris, Tampines, Punggol, Sengkang.

How to Apply:

Interested applicants may click 'Apply' or contact the Recruitment Team via WhatsApp at +65 97815157 (Lijun).

Applied Materials is a leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. Our expertise in modifying materials at atomic levels and on an industrial scale enables customers to transform possibilities into reality. Our innovations make possible™ the technology shaping the future. We are looking for a Data Scientist to support our Data Analytics team in the Legal Department promoting legal, technical and commercial initiatives across the company’s business activities. The position is located at Applied Materials Singapore.

Principal Duties & Responsibilities

Primary responsibilities involve analyzing highly complex data to drive impactful business decisions for clients across Applied’s business. You will by collaborate globally across Applied’s legal, engineering, product development, business and marketing groups to understand their business challenges, convert the challenges into data analytics problems, identify appropriate metrics, design/develop models, design dashboards and other interactive data visualization to result in tangible analytics insights.

In addition, you will identify new areas of opportunity for the legal department by automating business workflow, developing forecasting models and making recommendation on emerging technologies such as new digital analytics tools and GenAI.

Qualification & Work Experience

• Bachelor degree or higher in a relevant field such as computer science, data science, business intelligence, statistics, mathematics, physics, engineering or a related field
• At least 2 years’ experience with converting real-life business challenges into data analytics problems, leveraging state-of-art techniques to solve the problems, and explaining complex data analytics methodologies to non-technical stakeholders
• Preferred experience in structural querying languages (e.g. MySQL, PostgreSQL), data preprocessing languages (e.g. R, Python) and big data processing tools (e.g. Hadoop, Spark)
• Preferred experience in extracting/integrating structured & unstructured data (e. e.g. text, documents)
• Preferred experience in development & deployment of data visualization dashboards to track business metrics (e.g. Tableau, Power BI)
• Experience in development & implementation of machine learning models (e.g. random forecast, gradient boosting, transformers), experience with NLP & LLM is advantageous
• Experience in design and/or introduction of process automation solutions (e.g. Uipath, MS Power Platforms) to streamline operational workflow is advantageous
• Familiarity with designing & conducting statistical analysis (e.g. A/B test, Hypothesis test)
• Familiarity with data analytics techniques such as cloud computing, CI/CD, data security

Skills & Competencies

• Strong fundamentals of applied data science in a business setting
• Strong ability to distill complex scientific and technical concepts into actionable analysis
• Capability to communicate data science solutions to business and/or non-technical stakeholders
• Strong analytical capability, ability to think critically and possessing learning agility to quickly attain understanding of new technology areas
• Proactive, thorough, working with high accuracy and attention to detail with good time management
• Adaptability to changing priorities and project focus while remaining flexible in shifting conditions
• Ability to work effectively with people from a variety of culturally and scientifically diverse backgrounds and collaborate effectively with other team members

Work Location

• Science Park II (Alpha building)

Job Description

• Transfer data from hard copy to a digital database.
• Verify outdated data and make any necessary changes to records.
• Input text-based and numerical information from source documents.
• Sort and organize hard copies of paperwork after entering data electronically.
• Review data for deficiencies or errors.
• Provide data entry support across departments on an ad-hoc basis.
• Type in data quickly and efficiently.

Additional Information

• 5.5 Days Work
• Location: East ( Alps Ave)
• Transportation Provided: Bedok, Tampines, Pasir Ris, Sengkang, Punggol
• Well Established 3rd Party Logistics Company
• Good Career Prospect
• No Working Experience Welcome. Training Provided

Work with teams from concept to operations, providing technical subject matter expertise for successful implementation of data solutions in the enterprise, using modern data technologies. This individual will be responsible for the planning, execution, and delivery of data initiatives. The role will also be responsible for expanding and optimising of data pipeline and architecture. This is a hands-on development role mainly using Databricks and Microsoft Azure data engineering skill sets and application development using Java and Python.

Responsibilities:

• Work collaboratively with relevant teams to define functional and technical requirements
• Document technical specifications, processes, and workflows for data pipelines and related systems
• Design, develop, and maintain scalable data pipelines to ingest, process, and store data from various sources into the operational data platform
• Design and develop intuitive, highly automated, self-service data platform functions for business users
• Optimise data processing and storage infrastructure for mission-critical, high-volume, near-real-time & batch data pipelines
• Implement data quality checks, monitoring, and alerting to ensure data accuracy and availability
• Participate in code reviews, testing, and deployment processes to maintain high standards of data engineering practices
• Troubleshoot and resolve data pipeline issues in a timely manner to minimise impact on business operations
• Contribute to the overall data architecture and strategy for the operational data platform
• Manage stakeholder expectations and ensure clear communication

Are you passionate about building great products? Do you want to redefine the way travellers explore the world? Keen to be part of this growth journey with a bunch of amazing people? Then Pelago is the place for you!

We are looking for ambitious and motivated talents who are excited about staying on the cutting edge of Technology and always keen on innovating new ways to drive growth and taking our startup to new heights.

WHO ARE WE?

Pelago is a travel experiences platform created by Singapore Airlines Group. Think of us as a travel magazine that you can book - highly curated, visually inspiring, with the trust and quality of Singapore Airlines. We connect you with global, local cultures and ideas so you can expand your life.

We are a team of diverse, passionate, empowered, inclusive, authentic and open individuals who share the same values and strive towards a common goal!

WHAT CAN WE OFFER YOU?

- A unique opportunity to take end-to-end ownership of your workstream to deliver real value to users.

- Platforms to solve real user problems concerning travel planning & booking with innovative products/services.

- An amazing peer group to work with, and the ability to learn from the similarly great minds around you.

- An opportunity to be an integral part of shaping the company’s growth and culture with a diverse, fun, and dynamic environment with teammates from different parts of the world.

- Competitive compensation and benefits - including work flexibility, insurance, remote working and more!

WHAT WE ARE LOOKING FOR?

We are seeking a highly skilled and experienced Senior Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, with expertise in interpreting complex datasets and providing actionable insights to drive business decisions. As a Senior Data Analyst, you will be responsible for fostering a data-driven culture, developing analytical strategies, and implementing best practices to optimize data-informed decision-making across the organization.

Responsibilities:

- Develop a deep understanding of Pelago's unique product offerings and business strategy to create tailored, scalable analytical solutions that directly influence product development and business outcomes.

- Collaborate closely with cross-functional teams, including Product, Engineering, Marketing, and Business, to identify analytical requirements and deliver meaningful insights.

- Design, develop, and maintain robust data models, reporting systems, automation, and interactive dashboards to track and communicate key performance metrics.

- Effectively communicate data-driven insights and provide strategic recommendations to senior management and stakeholders to drive business growth.

- Mentor and guide team members to foster professional development and strengthen a data-driven mindset throughout the organization.

WHAT EXPERTISE YOU WILL NEED TO HAVE?

- Strong analytical and problem-solving abilities, with the skill to convert complex data into actionable insights through engaging narratives.

- Exceptional communication and interpersonal skills, with the ability to collaborate productively with stakeholders at all levels of the organization.

- Proficient in SQL, Python, or other relevant programming languages used for data analysis.

- Advanced proficiency in data analytics, modeling, and visualization tools, such as Excel, Quicksight, or Metabase.

- Meticulous attention to detail and the ability to manage priorities in a fast-paced work environment.

- Prior experience in e-commerce or the travel industry is a preferred.

- Familiarity with agile methodologies and experience collaborating with product management teams is preferred.

If you’re as excited as we are in this journey, do apply directly with a copy of your full resume. We'll reach out to you as soon as we can!