Total 8 data entry clerk job vacancies in F&B / Tourism / Hospitality category in d04 harbourfronttelok blangah sentosa island

We are looking for a reliable and detail-oriented individual to join our team as an Admin & IT Support Assistant. If you enjoy working in a dynamic environment and have a knack for simple IT tasks, we’d love to hear from you!

Responsibilities

• Perform simple administrative tasks such as data entry and document filing.
• Handle data erasure and reformatting of incoming IT equipment (training will be provided).
• Assist in basic IT-related tasks such as software installation and testing.
• Organize and update inventory records.
• Ensure all tasks are completed accurately and efficiently.
• Might need to travel to customer office to perform installations once in a while.

Requirements

• Basic IT knowledge or interest in learning IT-related processes.
• Attention to detail and a high degree of accuracy in administrative work.
• Ability to follow processes and instructions closely.
• Good organizational skills and ability to manage time effectively.
• Able to work independantly.

What We Offer

• On-the-job training for IT tasks such as data erasure.
• 5 day work week.
• Opportunities to grow and learn new skills.

If you’re someone who enjoys both administrative work and hands-on IT tasks, we’d love to hear from you.

Your Role and Responsibilities

Strong AWS knowledge in terms of designing new architecture and providing optimized solution for existing one.

▪ In-depth knowledge with respect to Snowflake and its architecture.

▪ provide solutioning and drive the implementation of DOPS features which includes - building IAC infra, Git Lab re-structuring, Git lab Upgrades monitoring etc.,

▪ Should have the vision on data strategy and able to deliver the same.

▪ Should be able to lead the design and implementation of data management processes, including data sourcing, integration, and transformation.

▪ Able to manage and lead a team of data professionals, providing guidance, mentoring and foster a collaborative and innovative team culture focused on continuous improvement.

▪ To evaluate and recommend data-related technologies, tools, and platforms.

▪ Collaborate with IT teams to ensure seamless integration of data solutions.

▪ should have experience in Implementing and enforce data security protocols and ensure compliance with relevant regulations.

Required Technical and Professional Expertise

Experience as a Lead: 5+ years, should pose a strong character in leading a small team.

▪ Bachelor qualification in a computer science or STEM (science, technology, engineering, or mathematics) related field.

▪ At least 8+ years of strong data warehousing experience using RDBMS and Non-RDBMS databases.

▪ At least 5 years of recent hands-on professional experience (actively coding) working as a Lead handling support & production issues.

▪ Professional experience working in an agile, dynamic and customer facing environment is required.

▪ Understanding of distributed systems and cloud technologies (AWS) is highly preferred.

▪ Understanding of data streaming and scalable data processing is preferred to have.

▪ Experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred.

▪ Atleast 2+ years of experience in ETL (AWS Glue), Amazon S3, Amazon RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step Functions.

▪ Strong knowledge in scripting languages like Python, UNIX shell and Spark is required.

▪ Understanding of RDBMS, Data ingestions, Data flows, Data Integrations etc.

▪ Technical expertise with data models, data mining and segmentation techniques.

▪ Experience with full SDLC lifecycle and Lean or Agile development methodologies.

▪ Knowledge of CI/CD and GIT Deployments.

▪ Ability to work in team in diverse/ multiple stakeholder environment.

▪ Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams.

Your Role and Responsibilities

Strong AWS knowledge in terms of designing new architecture and providing optimized solution for existing one.

▪ In-depth knowledge with respect to Snowflake and its architecture.

▪ provide solutioning and drive the implementation of DOPS features which includes - building IAC infra, Git Lab re-structuring, Git lab Upgrades monitoring etc.,

▪ Should have the vision on data strategy and able to deliver the same.

▪ Should be able to lead the design and implementation of data management processes, including data sourcing, integration, and transformation.

▪ Able to manage and lead a team of data professionals, providing guidance, mentoring and foster a collaborative and innovative team culture focused on continuous improvement.

▪ To evaluate and recommend data-related technologies, tools, and platforms.

▪ Collaborate with IT teams to ensure seamless integration of data solutions.

▪ should have experience in Implementing and enforce data security protocols and ensure compliance with relevant regulations.

Required Technical and Professional Expertise

Experience as a Lead: 5+ years, should pose a strong character in leading a small team.

▪ Bachelor qualification in a computer science or STEM (science, technology, engineering, or mathematics) related field.

▪ At least 8+ years of strong data warehousing experience using RDBMS and Non-RDBMS databases.

▪ At least 5 years of recent hands-on professional experience (actively coding) working as a Lead handling support & production issues.

▪ Professional experience working in an agile, dynamic and customer facing environment is required.

▪ Understanding of distributed systems and cloud technologies (AWS) is highly preferred.

▪ Understanding of data streaming and scalable data processing is preferred to have.

▪ Experience with large scale datasets, data lake and data warehouse technologies such as AWS Redshift, Google BigQuery, Snowflake. Snowflake is highly preferred.

▪ Atleast 2+ years of experience in ETL (AWS Glue), Amazon S3, Amazon RDS, Amazon Kinesis, Amazon Lambda, Apache Airflows, Amazon Step Functions.

▪ Strong knowledge in scripting languages like Python, UNIX shell and Spark is required.

▪ Understanding of RDBMS, Data ingestions, Data flows, Data Integrations etc.

▪ Technical expertise with data models, data mining and segmentation techniques.

▪ Experience with full SDLC lifecycle and Lean or Agile development methodologies.

▪ Knowledge of CI/CD and GIT Deployments.

▪ Ability to work in team in diverse/ multiple stakeholder environment.

▪ Ability to communicate complex technology solutions to diverse teams namely, technical, business and management teams.

The Job

Strategic Planning and Roadmap Development:

• Develop a strategic roadmap for AI implementation aligned with business goals and objectives.
• Identify opportunities for AI adoption across various business functions and define priorities for implementation.

Technical Evaluation and Implementation

• Collaborate with cross-functional teams to design AI and data management solutions that meet business requirements and technical specifications.
• Evaluate and select AI and Data related technologies, tools, and platforms to support implementation efforts.
• Integrate AI and Data management solutions with existing systems, infrastructure, and processes, ensuring compatibility and seamless operation.
• Evaluate and select data management technologies, platforms, and tools to support data architecture initiatives, considering factors such as scalability, performance, and cost-effectiveness.
• Stay abreast of emerging technologies and industry trends in AI and data management, analytics, and cloud computing

Architecture Governance and Compliance:

• Establish architecture governance processes to ensure adherence to data architecture principles, standards, and guidelines.
• Monitor compliance with regulatory requirements, industry standards, and best practices related to data management and security.

Project Management and Execution:

• Lead the planning, execution, and monitoring of AI implementation projects, ensuring adherence to timelines and budgets.
• Coordinate with internal teams, external vendors, and stakeholders to drive project delivery and mitigate risks.

Change Management and Adoption:

• Develop change management strategies to facilitate the adoption of AI solutions by end-users and stakeholders.
• Provide training, documentation, and support to ensure successful deployment and utilization of AI technologies.

Resource Management and Team Leadership:

• Build and lead a team of AI engineers, data engineers, and/or other professionals responsible for implementing AI solutions.
• Provide guidance, mentorship, and support to team members, fostering a culture of innovation, collaboration, and excellence.
• Stakeholder Management:
• Serve as the primary point of contact for stakeholders, providing regular updates on project status, milestones, and outcomes.
• Collaborate with business leaders, users, and other stakeholders to understand requirements, gather feedback, and ensure alignment with project goals.

Risk Management and Compliance:

• Identify and assess risks associated with AI projects, including technical challenges, resource constraints, and regulatory compliance issues.
• Develop and implement strategies to mitigate risks and ensure compliance with relevant laws, regulations, and ethical standards.
• Performance Evaluation and Continuous Improvement:
• Evaluate the success of AI projects based on predefined metrics and KPIs, analyzing outcomes and identifying areas for improvement.
• Drive continuous improvement initiatives, incorporating lessons learned and best practices into future projects to optimize performance and outcomes.

Job Requirement

• Minimum Bachelor’s degree in computer science, engineering, data science, or related field. A Ph.D. is a plus.
• Proven experience (5 years or more) leading AI and/or Data management projects from conception to delivery, preferably in a corporate or enterprise environment.
• Deep understanding of data management principles, data modeling techniques, and database technologies.
• Experience with data integration, ETL processes, data governance, and metadata management.
• Proficiency in data architecture tools and platforms (e.g., ERwin, SAP PowerDesigner, Informatica)
• Strong technical expertise in AI technologies and Data management, including machine learning, deep learning, natural language processing, and computer vision.
• Technical understanding to perform and lead data management practices – Data quality improvements, Data engineering – Experience in Python/DB programming languages – SQL is a must.
• Excellent project management skills, with the ability to effectively plan, organize, and prioritize tasks in a dynamic environment.
• Strong leadership and communication skills, with the ability to inspire and motivate team members, build consensus, and influence stakeholders.
• Experience with agile or other iterative project management methodologies is desirable.
• Demonstrated ability to navigate complex organizational structures, manage competing priorities, and drive results in a collaborative, cross-functional environment.
• Certification in enterprise architecture (e.g., TOGAF) or data management (e.g., DAMA) is a plus

Mandatory Skills

• CAT-1 cleared/eligible candidate is required for this role.
• Experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Hands-on experience with Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Experience in providing documentation support, e.g. in technical/functional specifications.
• Possess finance domain knowledge.
• Good problem solving and logical thinking.

Skillsets (Good to have)

• Snowflake
• Denodo

Brief Job Description

Summary:

supporting data management operations activities for U2ID and TPDM applications.

Mandatory Skills

• CAT-1 cleared/eligible candidate is required for this role.
• Experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Hands-on experience with Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Experience in providing documentation support, e.g. in technical/functional specifications.
• Possess finance domain knowledge.
• Good problem solving and logical thinking.

Skillsets (Good to have)

• Snowflake
• Denodo

Mandatory Skills

• CAT-1 cleared/eligible candidate is required for this role.
• Experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Hands-on experience with Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Experience in providing documentation support, e.g. in technical/functional specifications.
• Possess finance domain knowledge.
• Good problem solving and logical thinking.

Skillsets (Good to have)

• Snowflake
• Denodo

Brief Job Description

Summary:

supporting data management operations activities for U2ID and TPDM applications.

You will play a crucial role in designing, developing, and maintaining our organisation's data infrastructure and pipelines that enable our organisation to extract valuable insights.

Responsibilities

• Identify data from different source systems and develop ingestion, data processing and data warehouse pipeline.
• Supports the design, implementation and maintenance of data flow channels and data processing systems that support the collection, storage, batch and real-time processing, and analysis of information in a scalable, repeatable, and secure manner.
• Defining optimal solutions to data collection, processing, and warehousing.
• Focuses on collecting, parsing, managing, analysing, and visualising large sets of data to turn information into insights accessible through multiple platforms.
• Collaborate with stakeholders to understand organisation requirements then build, design and manage interpret solutions for reporting and dashboard.
• Ensure business rules and data definition are standardised across users and reports/dashboards.
• Collaborate with cross-functional teams to ensure data integration and interoperability across different systems and platforms.
• Review and ensure organisation’s data policy, data security standard and data governance guidelines are adhered to.
• Implement and monitor data security and privacy measures on existing data solutions.
• Create and maintain comprehensive documentation of data processes, pipelines, and infrastructure.
• Stay up to date with industry trends and emerging technologies related to data engineering, applying new knowledge to improve existing processes.
• Other duties as required.

Requirements

• Proficiency in one or more programming languages commonly used in data engineering, such as Python, Java, or Scala.
• Familiarity with relational databases (e.g., MsSQL, MySQL) and NoSQL databases (e.g., MongoDB).
• Strong understanding of SQL for querying, data manipulation, and database management.
• Familiarity with data warehousing concepts, dimensional modelling, and data schema design.
• Basic knowledge of Extract, Transform, Load (ETL) tools and frameworks.
• Understanding of various data formats like CSV, JSON, Avro, Parquet, etc.
• Basic understanding of cloud computing platforms like AWS, Azure, or GCP, and their relevant data services.
• Familiarity with version control systems, such as Git.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.

Designation & salary will commensurate with experience.