Loan Officer

Job Responsibilities:

1. Closely monitor daily outputs and yield loss
2. Update data into SAP system and planner
3. Update data of dailyproduction activity into SAP system
4. Coordinate with production planner on daily production activity
5. Closing aging Production Order
6. Ensure BOM and Routing in the SAP system are accurate and update
7. Inventory control
8. Coordinate with warehouse to meet on-time delivery

Job Requirements:

1. Secondary School and above
2. Basic computer knowledge (Excel)
3. Basic knowledge of using SAP system

-Assist in the management and operations

-Data Entry

-Stock count and Invoicing

-Assist in preparing deliveries

Job Requirements:

-Basic knowledge of Microsoft Office

-Able to work in a team

West / Sungei Kadut Area

Transport pick up at Yew Tee/ Kranji MRT

Monday-Friday

8.30am-5.30pm

Saturday

8.30am-1pm

• Daily Requisition of Raw Materials from warehouse and suppliers based on schedule required
• Daily Raw Materials consuming & warehouse inventory monitoring
• Liaise with Purchasing & Suppliers on orders and delivery scheduling
• Manage daily inventory at Production Floor (PF)
• Cimplas update
• Manage and Control partially of label bags
• Month-end stock report at production floor
• Other duties assigned as & when required.

Qualification, Experience & Skills :

• GCE “N” or “O” level or equivalent
• With previous manufacturing environment experience preferred.
• Able to work in production workshops and office.
• Read, write and understand simple English
• Computer liberated, especially MS Office (Excel)
• Physically well

• 8 years of expertise in ETL, Data Warehousing, and Big Data technologies. The candidate should have a strong background in IBM InfoSphere DataStage, Oracle PL/SQL, Unix Scripting, and hands-on experience with Moody’s tools.

• The role requires in-depth knowledge of data extraction, transformation, and loading (ETL) processes, as well as experience with CI/CD and automation tools to support efficient data operations. This is an opportunity to contribute to large-scale data projects and work closely with cross-functional teams in a challenging and dynamic environment.

• Design, develop, and maintain ETL processes using IBM InfoSphere DataStage (versions 8.1, 8.7, and 11.3).

• Build and optimize parallel jobs to clean, transform, and load data into target databases.

• Implement robust solutions for data extraction and transformation from various sources including flat files and RDBMS.

• Configure and manage job scheduling and automation using tools like Control-M and Autosys.

• Develop shell scripts and use Unix commands to enhance ETL performance and streamline data processing.

• Ensure efficient job execution, error tracking, and troubleshoot performance issues.

• Use Moody’s tools (RCO, RAY, RFO) to support liquidity, risk management, and financial reporting projects.

• Troubleshoot and resolve issues related to GL recon breaks, ALM/LIQ stress processes, and LCR processes.

• Support Big Data solutions by working with core Spark (batch processing) and Spark SQL using Scala.

• Use Hadoop technologies like HDFS, Hive, and Sqoop for large-scale data migration and analysis.

About the role and your skillset:

• Possess a degree in Computer Science/Information Technology or related fields.
• Experience in data analysis.
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting).
• Able to handle data issue management.
• Proficient in Oracle PL/SQL.
• Experience in performing UAT.
• Able to manage SLA and queries from end users.
• Provide documentation support in technical/functional specifications.
• Possess investment data domain knowledge.
• Good problem solving and logical thinking.

EA License Number : 11C4879

Requirements

• Diploma/ Degree with 2 years related working experience in MNC environment
• Proficiency in Microsoft Suite, Advanced Excel (VLOOKUP, Pivot table), Power BI, Tableau
• Critical/problem solving mindset to improve workstreams
• Team player and independent worker with minimum supervision

Responsibilities

• Execute data entry from multiple sources
• Handle complexity in data sets
• Able to conclude and report data sets
• Data acquisition
• Data maintenance, storage and transmission
• Data Entry Analysis
• Identify and map the data flow require in supply chain
• Create reports from consolidated data
• Communication and collaboration skills across multi-functional teams across multiple locations and timezones

Work Schedule/ Location:

• 5 Working Days (Monday – Friday)
• Walking distance from Buona Vista MRT Station

Our Client:

• Engineering Industry
• Central Region
• 5 Days, Monday to Friday
• Up to $8,000 per month

Responsibilities:

• Design and build data pipelines infrastructure to collect, process and store data from various sources.
• Develop data assets platform to provide a centralized repository for managing and accessing data assets.
• Implement automated SQL queries based on user-defined criteria or business requirements.
• Use techniques like query templates, metadata-driven generation, or machine learning algorithms to generate SQL queries.
• Create new IPs in Singapore in area of expertise.
• Manage collaboration projects with Institute of Higher Learning or Research Institutes on new technology development.

Requirements:

• Degree / Masters / PhD in Computer Science, Data Science, Statistics Applied Sciences or related field.
• Proficiency in Python, SQL, Java or Scala programming languages.
• Understand data warehousing concepts, ETL (Extract, Transform, Load) processes and tools like Informatica, Talend, or Airflow.
• Knowledge of relational databases (MySQL, PostgreSQL, Oracle) and NoSQL databases (MongoDB, Cassandra).
• Familiar with Apache Airflow, Kubernetes or Ansible for automating data pipelines and infrastructure.

For interested applicants, please click "Quick Apply”

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

By submitting your personal data and/or resume, you will be deemed to have agreed and consented to us collecting, using, retaining, and disclosing your personal information to prospective employers for their consideration.

Quay Choon Lan Joanne (Guo Chunlan) | EA Reg No: R24121479
JTE Recruit Pte Ltd | EA Lic No: 14C7215

Responsibilities:

• Collaborate closely with data stewards, data analysts, and business stakeholders to design, implement, and maintain data solutions that meet business needs.
• Develop robust, scalable data ingestion and data management solutions, handling both batch and streaming data using Python.
• Participate in the full SDLC (Software Development Life Cycle), including requirements gathering, design, development, testing (SIT and UAT), and deployment through CI/CD for new and enhanced data ingestion pipelines.
• Ensure adherence to IT security standards, policies, and procedures throughout data solution development and deployment.

Key Requirements:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Minimum of 3 years of experience in developing and supporting data ingestion pipelines.
• Hands-on experience with data platforms, especially Snowflake.
• Proficient in SQL and Python for data processing and analysis.
• Experienced in CI/CD practices and deployment pipelines.
• Strong knowledge of SDLC methodologies and data warehousing concepts.
• Excellent problem-solving and troubleshooting abilities.
• Strong interpersonal and communication skills for effective collaboration with cross-functional teams.
• Proven ability to design, implement solutions, and conduct code reviews.
• Agile mindset, quick to learn, and adaptable to changing requirements.
• Experience working in cloud environments (e.g., AWS).

Those who are keen for the role and would like to discuss the opportunity further, please click "Apply Now" or email Kin Long at [email protected] with your updated CV.

Only shortlisted candidates will be responded to, therefore if you do not receive a response within 14 days, please accept this as notification that you have not been shortlisted.

Morgan McKinley Pte Ltd

EA Licence No: 11C5502 | EAP Registration No: R2095054

Summary:

• Over 10+ years of IT work experience with 8+ years of relevant experience in the field of Big Data/ Hadoop ecosystem/ Java, Python/ Spark/ Databricks-related technologies. With 5+ years of experience in any of the database management systems with strong development knowledge.
• Data Architect familiar with gathering, cleaning and organizing data for use by technical and non-technical personnel. Advanced understanding of statistical and analytical techniques. Highly organized, motivated and diligent with significant background in Data Engineering/Data Architect. Transformation- skillset.
• Meticulous Data Architect accomplished in compiling, transforming and analyzing complex information throughout software. Expert in Python or any programming language using large dataset management. Demonstrated success in identifying relationships and building solutions to business problems.
• Astute Data Engineer/Data Specialist with a data-driven and technology-focused approach. Communicates clearly with stakeholders and builds consensus around well-founded models. Talented in writing applications and reformulating models.
• Hardworking and passionate job seeker with strong organizational skills eager to secure entry-level Data Engineer/Data Scientist position. Ready to help the team achieve company goals.
• Detail-oriented team player with strong organizational skills. Ability to handle multiple projects simultaneously with a high degree of accuracy. To seek and maintain a full-time position that offers professional challenges utilizing interpersonal skills, excellent time management and problem-solving skills.
• Organized and dependable candidate successful at managing multiple priorities with a positive attitude. Willingness to take on added responsibilities to meet team goals.

• Design, develop, and maintain scalable ETL/ELT workflows using Spark, SQL, and Python on the Azure Databricks platform.

• Build and optimize data pipelines on the ADA platform to support advanced analytics and business intelligence.

• Import and process metadata and data from multiple sources (e.g., S3 buckets) to support reporting and analytics.

• Implement data quality checks, data validation, and ensure accuracy in processed data.

• Hands-on experience in cloud services (Microsoft Azure) and data warehousing.

• Proven experience in predictive modelling, analytics, and creating dashboards for KPI tracking.

• Programming Languages: Python, Scala

• ETL Tools: Informatica, SAS

• Database Management: Oracle, MySQL, MS SQL Server, MongoDB

• Scripting: SQL, PL/SQL

• Development Tools: Eclipse, IntelliJ, Jupyter Notebook, Notebook

• Version Control and Build Tools: Maven, SBT, Git

• Methodologies: Agile, Scrum

• Operating Systems: Windows, Unix, Linux

• Microsoft Cloud Services: Azure Databricks, Azure Data Factory, Azure SQL Data Warehouse, Azure Data Lake Storage, BLOB Storage

Do you love healthtech and Singapore put together? Then you just might love this company

The company is a multiple award-winning Healthcare IT Leader that digitises, connects, and analyses Singapore's health ecosystem Its ultimate aim is to improve the Singapore population's health and health administrations by integrating intelligent, highly resilient, and cost effective technologies with process and people

A Cloud Data Engineer specializing in AWS, Databricks, and Informatica IDMC is responsible for building and maintaining a robust, integrated, and governed data infrastructure that leverages the strengths of the analytics platforms to extract valuable insights from data while ensuring data security, compliance, and high-quality data management.

Roles And Responsibilities:

• Design and architect data storage solutions, including databases, data lakes, and warehouses, using AWS services such as Amazon S3, Amazon RDS, Amazon Redshift, and Amazon DynamoDB, along with Databricks' Delta Lake. Integrate Informatica IDMC for metadata management and data cataloging.

• Create, manage, and optimize data pipelines for ingesting, processing, and transforming data using AWS services like AWS Glue, AWS Data Pipeline, and AWS Lambda, Databricks for advanced data processing, and Informatica IDMC for data integration and quality.

• Integrate data from various sources, both internal and external, into AWS and Databricks environments, ensuring data consistency and quality, while leveraging Informatica IDMC for data integration, transformation, and governance.

• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and enrich data, making it suitable for analytical purposes using Databricks' Spark capabilities and Informatica IDMC for data transformation and quality.

• Monitor and optimize data processing and query performance in both AWS and Databricks environments, making necessary adjustments to meet performance and scalability requirements. Utilize Informatica IDMC for optimizing data workflows.

• Implement security best practices and data encryption methods to

protect sensitive data in both AWS and Databricks, while ensuring

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

Key Responsibilities

• Accurately document all equipment deliveries and removals.
• Conduct routine audits to ensure inventory integrity and compliance.
• Use equipment such as pallet jacks to facilitate safe item movement.
• Work within a ticketing system to manage tasks and assignments effectively.
• Execute the secure destruction of data-storing devices, including hard drives and SSDs.
• Manage shipping, receiving, and inventory processes.
• Prioritize and resolve tickets, escalate issues, and handle blockers to sustain inventory operations in line with service agreements.
• Be prepared to work outside standard business hours, including weekends or holidays, as needed.

Qualifications and Skills

• Diploma or Degree in IT, Computer Engineering, or a related discipline.
• At least one year of experience in IT Support or Systems Monitoring (fresh graduates with a proactive attitude are encouraged to apply).
• Minimum six months of experience in Inventory Control, Logistics, or Warehouse Management.
• Capable of performing physical tasks, including lifting and working at heights, with or without equipment assistance.
• Excellent communication skills in English, both spoken and written.
• Motivation to grow and learn new technical skills.

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Please WA Jian Wei @ 87389860
Shortlisted candidates will be notified

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

Description :

The role of a Marketing & Branding Specialist will be responsible for executing both sales and marketing strategies to promote our products/services and drive customer acquisition. This role combines creativity with analytical skills, and the ideal candidate will be able to work in a fast-paced environment while delivering results.

What you can look forward to:

• Vibrant and Fun Working Environment
• 1 to 1 Mentorship (NO Prior Experience Required)
• Travel Opportunities ( Covered by Marketing Organisation)
• Career Advancement Opportunities
• Competitive Salary and Performance-Based Incentives

Key Responsibilities:

• Develop and implement comprehensive sales and marketing strategies to meet company objectives.

• Analyze market trends and competitor activity to identify new opportunities for growth.

• Work closely with the sales team to align marketing initiatives with sales goals.

• Track and report on performance metrics to measure campaign success and sales progress.

• Coordinate events, webinars, and promotional activities to increase brand awareness.

• Build and maintain relationships with customers and prospects to encourage repeat business.

Requirements:

• 17 Years Of Age and Above
• No Prior Experiences Needed
• No Minimum Qualification
• Young & Vibrant

HIRING 资料程序助理

-------------------------------

Job Requirement:

*要懂MS Offie & 中文拼音

*Basic Salary: $1800-$2000 (经验为佳)

*Working Day: 5.5 days _Mon-Fri (7.30am-4.30pm) / Sat or Sun (Alternate)

*Working Location: Woodlands

Jobscopes:

*Prepare daily order talking: to do goods receipt / goods issue & check material pricing

*Process order to generate invoice

*Filing document & customer reply (overdue payment)

*Pepare SOA to customer & checking supplier invoices & pricing

APPLY NOW!!!

Submit your applicantion form, attached resume email to : [email protected]

An established Law Firm situated at Tanjong Pagar invite applicants for the position of data entry clerk:

Responsibilities:

1. Input and manage data in our database and spreadsheets.

2. Review and verify the accuracy of data before submission.

3. Maintain organised records for easy access and reporting.

4. Assist with administrative tasks as needed.

Qualifications:

1. Proficiency in Microsoft Office

2. Strong attention to details and accuracy.

3. Excellent time management and organisational skills.

4. Previous experience in data entry or administrative roles is a plus.

Interested applicants kindly email CV to [email protected]. Only shortlisted applicants will be notified.

• Data Collection and Analysis: Collect, analyse, and interpret data from various sources and complex transactions to identify trends, and insights that inform data solutioning processes
• Data Quality Assurance: Assist in data validation efforts to ensure datasets meet end users’ requirements to deliver high quality product releases, and continuous support in monitoring data quality and resolving data discrepancies
• Collaboration: Work closely with cross-functional teams, including data engineers, business analysts and stakeholders, to gather data requirements and ensure data integrity
• Enhancements: Identify opportunities for process improvement and operational efficiency
• Research and Learning: Deeply understand client’s relevant business activities, commercial interests and related processes, and continuously expand your knowledge and skills in data analytics techniques and tools

• 4 years of financial/business/data analyst experience
• Knowledge of accounting principles, financial statements, and financial modelling
• Understanding of Data Design Pattern differences between transactional ERP systems (SAP) and analytical data warehouses (BigQuery, Snowflake)
• Knowledge of SQL and working with large datasets
• Experience with data analytics tools and languages (R, Python…)
• Experience building interactive data visualizations, strong storytelling skills (Tableau, Streamlit, Shiny…)