Location: Warehouse (Geylang Bahru)
Working Days: Mon - Fri, 5 days (ALT SAT)
Working Hours: 8.30am – 6.00pm
Salary: $1,800 - $2,200 (Depends on Experience)

Admin

• Prepare customer quotations
• Fulfilling orders
• Processing orders to shipment and delivery of orders to customers.
• Responsible to manage customers’ orders and coordinating with colleagues during the entire process.
• Data entry
• Manage sales hotline and follow up on all customer and other sales enquiries
• And other admin matters as assigned by Supervisor

Prerequisites

• On job training provided.
• Minimum of 1-year related experience in related Food wholesale trade will be advantageous
• Proficient in MS office applications

Interested personnel kindly contact WhatsApp: https://wa.me/6592994753 (Marcus)

Tan Meng Liang Reg No: R23115923

The Supreme HR Advisory Pte Ltd EA No: 14C7279

Location: Shenton Way

Working hours: Mon-Fri, 8.30am to 5.30pm

Duration: 6 Months Contract

Salary Range: $3,500 to $3,800 + 0.5 months completion bonus

Responsibilities

• Support performance management and activities and administrations proactively
• Provide strong support in implementing Global HR Projects including through working with stakeholders across regions
• Collaborate closely with the system support team/vendors to address employees' requests for performance management system solutions and enhancements
• Act as focal point to attend to employees' daily communication and resolving their queries
• Participate in any ad-hoc projects and provide support as required

Requirements

• Minimum Bachelor's degree in business, analytics or relevant discipline
• No experience needed as training will be provided!

Interested applicants please send your resumes to [email protected]

Jessica Nguyen Huynh Thanh Truc

Recruiter (R23113787)

EA License No. 99C4599

We regret that only shortlisted candidates will be notified.

Responsibilities

• Accurately input, update, and maintain data in the CRM system.
• Ensure all data is entered correctly and correct format.
• Correct any errors or inaccuracies in the data and re-enter the correct information
• Handle other ad-hoc administrative matters assigned

Requirements

• No experience needed
• Proficient in MS Office

Interested applicants please email your resume to [email protected]

Megan Ng Su Ting

CEI Registration No.: R23115059

Recruit Express Pte Ltd

EA Licence No: 99C4599

*** We regret that only shortlisted candidates will be contacted.

• Well Established Company
• Basic $2500 - $3000 + AWS + Variable Bonus
• Excellent Welfare and Benefits + Career progression
• Working location: West
• Working days: Monday to Friday
• Working hours: 8am – 5.30pm
• Training provided for those without/lesser experience

Job Responsibilities:

• Assisting with, filing, data entry, and recording and maintaining accurate and complete records
• Preparing invoices, and other documents
• Working with bookkeeping software, online spreadsheets, and databases
• Processing transactions, issuing payments, and updating ledgers
• Any other ad hoc duties as assigned

Job Requirements:

• Possess minimum Nitec and/or Diploma in Accounting or equivalent
• Training provided for those without/lesser experience

Candidates are encouraged to apply this position via Apply Now button with the following information in the resume

• Work experiences and job responsibilities
• Current and Expected salary
• Reason for leaving
• Date of availability
• Education background

We regret that only shortlisted candidates will be contacted.

Leong Wei Ling (R23117584)

EA Recruitment Pte Ltd

EA License No: 21C0492

• Position : Admin Assistant [Data Entry/Inventory] - Sin Ming Lane
• Location : Sin Ming Lane (Bishan)
• Working hours : Monday to Friday/ 8:30am to 5:30pm
• Salary (commensurate with experience) : Up to $2800 + Performance bonus + 10 Days Annual Leave
• Duration : Permanent
• Industry : Manufacturing

Main Responsibilities:

• Prepare invoices / Receive Orders / Organise Documents / Filing
• Stock / inventory check, maintain updated data records, print reports
• Attending to calls
• Provide general administrative and clerical support and handle administrative requests from the management.

Requirements:

• NO EXPERIENCE REQUIRED/ FULL TRAINING PROVIDED
• Familiar with MS Office (MS Excel and MS Words etc)
• Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only.

Email to: [email protected] for more information.

***We do not charge our candidates any referral fee nor bind them with any contract.***

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

Diana Okta Tio

Deputy Consulting Director (APAC)

Reg no.: R2094678

EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

Job Title: Data Entry Clerk (ID5087)

Location: Jurong East

Working Hours: Mon to Fri 8.30am – 5.30pm , Sat 8.30am – 12.30pm

Salary: up to $2100

Job Description:

• Order processing - to do GR and GI in SAP and WMS

• Liaising and co-ordinating with customer

• Performing daily/monthly/quarterly cycle count

• Any other ad-hoc duties

Requirement:

• At least 1–2 years of relevant experience

• Computer Literate & Proficient in MS Office

Job Scope:

· Data entry, filing, recording and maintaining accurate records as per the company’s SOP

· Administrative support

· Any other ad hoc duties as assigned

Requirements:

· Well versed in MS Excel or similar data entry tools

· Good communication skills and eye for details

· Accurate and diligent

Additional Information:

· Commencement Date: Immediate for 6-month contract

· Working days and hours: Mon – Fri, 9am to 6pm

· Location: Mapletree Business City, Labrador Park MRT

Provide general adminstrative duties and clerical support

Filling and and organizing records, invoices, and other documentation

managing incoming and outgoing correspondence including phone calls, emails

input orders and data entry

generating delivery orders

tracking customer orders to ensure on-time collection or delivery of shipment

co-ordinating with customers on appointment

ad-hoc duties as and when assigned

team player and training provided

WhatsApp: +65 90820021 (Kyler)

Email: [email protected]

• Working Days: Mon Fri 830am to 530pm
• Location: Ang Mo Kio
• Salary: $1,800

Job Responsibilities:

• Perform data entry tasks with accuracy and efficiency.
• Assist in issuing invoices and managing related documentation.
• Support day-to-day office operations, ensuring smooth and efficient workflows.
• Handle additional administrative duties as assigned.

Job Requirements

• Proficiency in Microsoft Office

The Supreme HR Advisory Pte. Ltd | 14C7279

Gan Kai Le | R23112683

• Position : Admin Assistant [Data Entry/Inventory] - Sin Ming Lane
• Location : Sin Ming Lane (Bishan)
• Working hours : Monday to Friday/ 8:30am to 5:30pm
• Salary (commensurate with experience) : Up to $2800 + Performance bonus + 10 Days Annual Leave
• Duration : Permanent
• Industry : Manufacturing

Main Responsibilities:

• Prepare invoices / Receive Orders / Organise Documents / Filing
• Stock / inventory check, maintain updated data records, print reports
• Attending to calls
• Provide general administrative and clerical support and handle administrative requests from the management.

Requirements:

• NO EXPERIENCE REQUIRED/ FULL TRAINING PROVIDED
• Familiar with MS Office (MS Excel and MS Words etc)
• Bilingual in English and Mandarin to liaise with Chinese clients who can converse in Mandarin only.

Email to: [email protected] for more information.

***We do not charge our candidates any referral fee nor bind them with any contract.***

Do visit www.facebook.com/search.personnel and https://www.instagram.com/search.personnel for more job listings and career tips!

Diana Okta Tio

Deputy Consulting Director (APAC)

Reg no.: R2094678

EA No: 13C6684

Thank you for your interest in this position. Our shortlisting period is 3 working days. Only shortlisted candidates will be contacted for further consideration.

If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend that you continue your job search to maximize your opportunities. We wish you all the best and should we have any suitable roles that match your experiences/ qualifications/ preferences, we will reach out to you.

" Programming skills in python

Training and deploying machine learning models end to end

Good understanding of basic statistics and deep learning techniques

Any experience in data integration, profiling,validation, and cleansing

Experience deploying TensorFlow and PyTorch into production.

• Good programming skills in Python
• Must possess experience or interest in training and deploying machine learning models end to end.
• Good understanding of basic statistics and deep learning techniques
• Prior experience in data integration, profiling, validation and cleansing
• Experience in Banking domain is mandatory
• Proficiency with SQL
• Software delivery
• Strong understanding of agile methodologies
• Strong understanding of CI/CD
• Strong understanding of test-driven development
• Comfortable using version control and enterprise task management tools.
  • Data Engineering
  • Experience in deploying TensorFlow and PyTorch into production
• Building data pipelines and architecture
• Should have extensive experience with relational and NO-SQL databases
• Should have proficiency in handling both structured and unstructured data sources
• Strong experience deploying applications to cloud platforms like Azure, AWS
• Interest in building efficient batch and streaming data engineering pipelines
• Exposure to distributed data processing platforms like Spark".

Responsibilities:

• Work closely with business (research analysts, quantitative strategist, end-users, etc.), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle e.g. data onboarding, data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyse, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in the assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Requirement:

• Possess a degree in Accounting, Finance, Engineering, Computer Science/Information Technology or related fields from recognized tertiary institution.
• At least 5 years of relevant experience in data management, data analytics, data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution and perform code review.
• Excellent written and verbal communication skills.
• Strong interpersonal skill to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem solving
• Experience in the Systems Development Life Cycle implementation methodology (SDLC) and/or Agile methodologies like Scrum and Kanban.

Big Data Developer (3 – 10 Years)
§ Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
§ Experience in designing application solutions in hadoop ecosystem
§ Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
§ HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
§ Good knowledge in data warehousing system
§ Experienced in any scripting language (SHELL, PYTHON)
§ HortonWorks distribution and understanding on SQL engines (Tez, MR)
§ Java/RestServices/Maven experience is a value addition
§ Control-M development. Monitoring Resource utilization using Grafana Tool
§ Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
§ Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
§ Skillset:
o Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
o Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

JD:

" Programming skills in python

Training and deploying machine learning models end to end

Good understanding of basic statistics and deep learning techniques

Any experience in data integration, profiling,validation, and cleansing

Experience deploying TensorFlow and PyTorch into production.

• Good programming skills in Python
• Must possess experience or interest in training and deploying machine learning models end to end.
• Good understanding of basic statistics and deep learning techniques
• Prior experience in data integration, profiling, validation and cleansing
• Experience in Banking domain is mandatory
• Proficiency with SQL
• Software delivery
• Strong understanding of agile methodologies
• Strong understanding of CI/CD
• Strong understanding of test-driven development
• Comfortable using version control and enterprise task management tools.
  • Data Engineering
  • Experience in deploying TensorFlow and PyTorch into production
• Building data pipelines and architecture
• Should have extensive experience with relational and NO-SQL databases
• Should have proficiency in handling both structured and unstructured data sources
• Strong experience deploying applications to cloud platforms like Azure, AWS
• Interest in building efficient batch and streaming data engineering pipelines
• Exposure to distributed data processing platforms like Spark".

JD:
Big Data Developer (3 – 10 Years)
§ Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
§ Experience in designing application solutions in hadoop ecosystem
§ Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
§ HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
§ Good knowledge in data warehousing system
§ Experienced in any scripting language (SHELL, PYTHON)
§ HortonWorks distribution and understanding on SQL engines (Tez, MR)
§ Java/RestServices/Maven experience is a value addition
§ Control-M development. Monitoring Resource utilization using Grafana Tool
§ Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
§ Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
§ Skillset:
o Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
o Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

Key Responsibilities:

1. Data Pipeline Development:Design, build, and maintain scalable ETL/ELT pipelines to extract, transform, and load data from diverse sources.
   Automate data ingestion and processing workflows.
   
2. Data Architecture and Storage:Develop and optimize data models and databases (e.g., relational, NoSQL, or data lakes).
   Implement and manage cloud-based data storage solutions (e.g., AWS, Azure, Google Cloud).
   
3. Data Integration and Transformation:Integrate data from various structured and unstructured sources, including APIs and third-party systems.
   Ensure data quality, consistency, and accuracy through validation processes.
   
4. Performance and Scalability:Monitor, troubleshoot, and improve the performance of data systems and pipelines.
   Optimize storage and processing costs for large-scale datasets.
   
5. Collaboration and Support:Work closely with data scientists, analysts, and other stakeholders to understand their data needs.
   Provide technical guidance on best practices for data infrastructure.
   
6. Security and Compliance:Implement data governance, security protocols, and access controls.
   Ensure compliance with relevant data privacy regulations (e.g., GDPR, CCPA).
   

Qualifications:

1. Education and Experience:Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
   Proven experience in a data engineering role (2–5 years preferred).
   
2. Technical Skills:Proficiency in programming languages like Python, Scala, or Java.
   Experience with SQL and database management systems (e.g., MySQL, PostgreSQL).
   Hands-on experience with big data frameworks (e.g., Apache Spark, Hadoop).
   Familiarity with cloud platforms (AWS, Azure, GCP) and services like S3, Redshift, BigQuery, or Databricks.
   Knowledge of data integration tools (e.g., Apache Airflow, Kafka, or Glue).
   
3. Other Skills:Strong problem-solving and debugging abilities.
   Excellent communication and teamwork skills.
   Ability to manage multiple projects and deadlines.
   

Preferred Qualifications:

• Experience with machine learning pipelines and MLOps.
• Knowledge of containerization and orchestration (e.g., Docker, Kubernetes).
• Familiarity with CI/CD processes for data workflows.

We are seeking for an individual who is passionate about numbers, data and translating data into actionable insights that can drive decisions. Driven by curiosity and a desire to improve systems, you will be the data champion of Providend Holding Private Limited and its subsidiaries. You will develop data analytics strategies, manage the implementation of data analytics initiatives, while assisting with strategic decisions on data analytics platform. You will take responsibility in managing our databases, consolidating data from siloed systems into a centralized data platform, ensuring data integrity and developing reports.

On daily operational tasks, you will focus on the following areas:

1. Data Cleaning and Preparation: this includes filtering the data, handling missing values, and preparing the dataset for analysis to ensure accuracy and relevance.
2. Data Exploration and Analysis: use statistical tools and techniques to explore and analyse data, identifying patterns, relationships and trends.
3. Data Visualization: create visual representations of data findings through charts, graphs and dashboards to make the data understandable.
4. Reporting:prepare reports and presentations to communicate the insights and findings from the data to stakeholders, which can influence policy and decision-making processes.
5. Collaboration: work with other departments to understand their data needs and help them make informed decisions based on data insights.

To be successful in this position, you will be someone who is/has:

• Bachelor’s degree in data analytics
• Ability to work with stakeholders to assess business requirements and needs, and translate them into non-technical terms
• Ability to analyse existing tools and databases to provide data solution recommendations
• High-level experience in methodologies and processes for managing large-scale databases
• Demonstrated experience in handling large data sets and relational databases
• Working experience of Data ETL is a must
• Proficiency in process mapping tools, databases and ERP systems
• Hands-on knowledge in SQL and Python programming language is a must
• Experienced in handling huge data on Excel/CSV
• Good written and verbal communication skills
• Can-do attitude, good posture, problem solving mindset
• Initiative, drive and exceptional attention to details
• Tenacious and possesses a strong work ethic
• An independent worker, able to work without much guidance
• A strong team player
• Excellent organisational, problem-solving and multi-tasking skills

Desirable Skills:

• Data analytics services on AWS (e.g. Data Firehose, Kinesis, S3 Data Lake, Glue, QuickSight etc.) or Azure (e.g. Data Factory, Stream Analytics, Event Hubs etc.)
• Working experience in financial institutions is a plus

About the Role:
We are seeking a highly motivated Metadata Specialist to join our team. In this role, you will play a key part in the implementation and management of metadata to support enterprise data governance and compliance initiatives. If you have a strong background in data management, problem-solving, and stakeholder engagement within the financial services domain, we’d love to hear from you.

Key Responsibilities:

• Manage metadata activities across the entire lifecycle, including collection, quality control, and maintenance.
• Conduct thorough reviews of metadata to ensure accuracy, quality, and compliance with organizational governance standards.
• Provide recommendations on metadata improvements based on stakeholder input and governance guidelines.
• Support the onboarding of stakeholders, particularly within financial institutions, into the organization's data governance and compliance roadmaps.
• Collaborate with cross-functional teams to ensure metadata aligns with enterprise data management objectives.
• Identify, analyze, and resolve metadata challenges to support effective data discovery and utilization.

Required Skills and Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Proven experience with metadata management, quality control, and governance processes.
• Strong problem-solving skills, with the ability to analyze complex metadata issues and provide actionable solutions.
• Experience in stakeholder engagement, particularly in guiding financial institutions through data governance frameworks.
• Excellent communication and interpersonal skills to collaborate with various teams and stakeholders.

Preferred Qualifications:

• Familiarity with enterprise data governance tools and platforms.
• Experience in metadata management within financial institutions or highly regulated industries.
• Knowledge of compliance and data governance best practices.

EA License: R1873481

Company EA License: 11C4879

Responsibility

The holder of the position is mainly responsible for the following areas in coordination with his / her superior:

Design and build the DWH database models (star schema).

Manage the semantic model in Oracle Analytics Cloud to provide a unified view of our organization's data.

Manage application roles and access rights for end users including row level security filters, to protect sensitive data.

Work with ETL specialists, IT business Consulting as well as external vendors to ensure data ingestion and integration into the database model

Collaborate with Business Controlling and business counterparts on new reporting requirements.

Ensure data quality, security and compliance with industry standards and internal guidelines.

Ensure proper documentation of data infrastructure, data models, workflows as well as security concepts in accordance with internal security policies.

Skills

Looking for a Data Engineer more focused on Database modelling, Currently in Oracle environment and going forward with GCP stack.

Proficiency in SQL and data warehousing

Strong understanding of data modelling techniques and hands on experience building database models (star schema).

Expertise with ETL (extract, transform, load) processes. Familiarity with BI tool integration such as Tableau or Looker

Strong analytical thinking, problem-solving capability, and ability to translate business needs into technical specifications.

Customer-oriented with good communication and interpersonal skills.

Job Summary:

We are seeking a meticulous and driven Data Analyst to join our Contact Center team. This role involves analyzing data to support operational decision-making and drive process improvements within our contact center. The ideal candidate will be adept at extracting, cleaning, and interpreting data, with the goal of enhancing customer experience, efficiency, and overall performance.

Key Responsibilities:

• Extract, clean, and consolidate data from multiple sources to produce daily, weekly, and monthly reports.
• Write and optimize SQL queries for efficient data retrieval.
• Respond to ad-hoc data requests from projects and management, delivering timely and accurate insights.
• Collaborate with developers to automate reporting processes.
• Serve as a point of contact for project data-related inquiries.
• Analyze contact center performance metrics, including call volumes, response times, and customer satisfaction.
• Develop and maintain dashboards and reports to monitor key performance indicators (KPIs).
• Identify trends and patterns in data to guide strategic and operational decisions.
• Work with management and various departments to derive actionable insights and recommendations.
• Support the rollout of process improvements based on data insights.
• Ensure the accuracy and integrity of data across all reporting.
• Assist with demand forecasting and capacity planning using historical data trends.
• Stay informed about industry best practices and emerging technologies in data analysis.
• Perform other related duties as assigned by management.

Qualifications and Skills:

Education: Bachelor’s degree in Business, Computer Science, Mathematics, Data Analytics, or a related field.

Experience: 1–3 years of experience in data analysis, ideally in a contact center environment.

Technical Skills: Proficient in data analysis tools such as Excel, SQL, and Python. Experience with data visualization platforms, including Tableau, Power BI, or AWS QuickSight.

Communication: Strong written and verbal communication skills; able to effectively present insights and recommendations.

Problem Solving: Detail-oriented with strong analytical and critical-thinking skills.

Self-Motivation: Proactive and able to work independently with minimal supervision.

Time Management: Excellent organizational skills with the ability to manage multiple priorities and perform under pressure.

Quality Focus: High attention to detail, ensuring data accuracy and integrity.

Knowledge of Analytics: Familiarity with statistical analysis, modeling, and data visualization techniques.

Role & Responsibilities :

• Work closely with business (research analysts, quantitative strategist, end-users, etc.), data engineers, data scientists to implement and support data solutions that support common functions in the data lifecycle e.g. data onboarding, data distribution.
• Contribute, influence, and validate the design of lifecycle data solutions to ensure they meet both business and operational needs.
• Manage day-to-day operations for lifecycle data solutions such as collation of metadata, analysis of system operations data (e.g. data quality metrics, usage level of data distribution services).
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Function as the Center of Excellence for the common data lifecycle services offered, defining standards and best practices, and designing process workflows to smoothen operationalization and to ensure compliance.
• Monitor, analyse, investigate, and resolve day-to-day operational incidents and provide advisory to users.
• Identify opportunities for continuous improvement in the assigned area of work.
• Manage and maintain strong stakeholder relationship to ensure continuous support and knowledge for existing and future data lifecycle needs.

Skillset Requirements

• At least 6 years of relevant experience in data management, data analytics, data engineering user. Preferably within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management as well as data integration and data distribution.
• Good knowledge and experience in programming languages such as Python, Java, SQL etc.
• Familiar with data visualization tool (e.g. Tableau, PowerBI) and data virtualization technology such as Denodo is advantageous.
• Good at working with details and is meticulous for operations.
• Able to design and implement solution, and perform code review.
• Excellent written and verbal communication skills.
• Strong interpersonal skill to interact with diverse stakeholders.
• Agile, fast learner and able to adapt to changes.
• Good team player, with strong analytical skill and enjoy complex problem solving
• Experience in the Systems Development Life Cycle implementation methodology (SDLC) and/or Agile methodologies like Scrum and Kanban.

Please refer to U3’s Privacy Notice for Job Applicants/Seekers at https://u3infotech.com/privacy-notice-job-applicants/. When you apply, you voluntarily consent to the collection, use and disclosure of your personal data for recruitment/employment and related purposes.

About Sembcorp Industries

Sembcorp Industries (Sembcorp) is a leading energy and urban solutions provider, led by its purpose to drive energy transition.

Headquartered in Singapore, Sembcorp delivers sustainable solutions to support energy transition and urban development by leveraging its sector expertise and global track record.

For more information, please visit www.sembcorp.com.

PURPOSE AND SCOPE

The Data Analyst role is positioned to tap on the vast amounts of data available at Sembcorp Solar to better guide the organization in optimizing its operational and business processes. The role will reside within the Business Excellence Unit and will work on cross-functional projects.

KEY ROLES AND RESPONSIBILITIES

• Work with various departments within Sembcorp Solar to propose, develop and maintain automated data collection systems and pipelines across reporting lines.
• Provide stakeholders with accurate and relevant information through data-driven reports, visualizations, and presentations.
• Assist to identify and solve complex business problems by interpreting data trends and patterns.
• Develop statistical models and forecasts to support business planning.
• Continuously evaluate and refine existing data processes and methodologies to enhance data quality, integrity, and efficiency.

QUALIFICATIONS & EXPERIENCE

• Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Computer Science, Engineering, Economics, or related fields.
• Demonstrable experience with data visualization tools like Tableau, Power BI, or matplotlib/seaborn in Python.
• Experience in data cleaning, transformation, and integration
• Experience working in cross-functional teams and collaborating with stakeholders from different departments.
• Proficiency in analyzing large datasets to extract meaningful insights.
• Knowledge of geospatial analysis and data-warehousing concepts can be advantageous.

SKILLS/COMPETENCIES & PREFERRED CHARACTERISTICS

• Understanding of statistical methods and concepts such as hypothesis testing, regression analysis, clustering, and classification techniques.
• Ability to use statistical methods and tools to interpret data and solve analytical problems.
• Ability to understand business requirements, translate them into analytical tasks, and provide actionable insights to stakeholders.
• Capability to identify problems and develop creative solutions using data-driven techniques.
• Effective communication of findings through reports, presentations, and visualizations to both technical and non-technical audiences.
• Thoroughness in data analysis and ensuring data quality and accuracy in findings and reports.
• Familiarity with specific industry trends and metrics relevant to the solar PV industry can be advantageous.

Fresh graduates are welcome to apply. Candidates will be expected to share about projects previously delivered.

At Sembcorp, our shared corporate behaviors underpin all the work that we do in building a sustainable future:

• Institution-first Mindset – Put the interest of the Group ahead of individual interests.
• Collaboration – Deliver through collaborating across markets, businesses and functions.
• Accountability – Hold team and self accountable to deliver on our commitments.

Big Data Developer (3 – 10 Years)
§ Good understanding of concurrent software systems and building them in a way that is scalable, maintainable, and robust
§ Experience in designing application solutions in hadoop ecosystem
§ Deep understanding of the concepts in Hive, HDFS, yarn, Spark, Spark sql, Scala and Pyspark
§ HDFS file formats and their use cases (eg Parquet, ORC, Sequence etc)
§ Good knowledge in data warehousing system
§ Experienced in any scripting language (SHELL, PYTHON)
§ HortonWorks distribution and understanding on SQL engines (Tez, MR)
§ Java/RestServices/Maven experience is a value addition
§ Control-M development. Monitoring Resource utilization using Grafana Tool
§ Good skillset to create automation scripts in Jenkins & knowledge in working on automating builds, test frameworks, app configuration etc
§ Experience in implementing scalable applications with fully automated deployment and control using Bitbucket, Jenkins, ADO etc
§ Skillset:
o Mandatory: Big Data – Hive, HDFS, Spark, Scala, Pyspark.
o Good to have : Schedulers (Control-M), ETL Tool – Dataiku , Unix/Shell scripting , Knowledge of Integration services of FileIT/MQ and others , CI/CD tools – Jenkins, Jira, ADO Devops – tools suite , Oracle .

Activate Interactive Pte Ltd (“Activate”) is a leading technology consultancy headquartered in Singapore with a presence in Malaysia and Indonesia. Our clients are empowered with quality, cost-effective, and impactful end-to-end application development, like mobile and web applications, and cloud technology that remove technology roadblocks and increase their business efficiency.

We believe in positively impacting the lives of people around us and the environment we live in through the use of technology. Hence, we are committed to providing a conducive environment for all employees to realise their full potential, who in turn have the opportunity to continuously drive innovation.

We are searching for our next team members to join our growing team.

If you love the idea of being part of a growing company with exciting prospects in mobile and web technologies that create positive impact on people’s lives, then we would love to hear from you.

Co-Development Business Unit is looking for Data Engineer

Internal Code: A2412

This is a healthcare application:

• Mobile application (iOS and Android)
• Dashboard (React)

What will you do?

• Support the development and business teams in unit testing and archiving data, engineered features, and algorithmic inputs/outputs throughout the data pipeline and to support analytics.
• Proven experience as a data engineer/ data analyst in mobile app development projects and administrative dashboards.

1. Create unit tests throughout the data and algorithms domain:

• Work with engineering and business teams to implement wide-coverage unit tests of data and engineered features at different stages throughout the data collection and processing pipeline
• Create unit tests of inputs to and outputs from the algorithms that drive the clinical service
• The unit tests include validation of the inputs and outputs of black-box machine learning algorithms
• Establish a regular process to execute the tests and document their outcomes as a part of our product development and release lifecycle

2. Implement and refine mechanisms to continuously archive the state of algorithmic inputs and outputs:

• Implement a process of taking snapshots of data/features input into algorithms necessary to recreate their outputs/predictions at any point in the past during the service
• Communicate requirements to the software development team

3. Assist in the successful delivery of regular service analytics and reports:

• Support the business and analytics teams in their daily and weekly delivery of reports on data completion, user engagement, and algorithm actions by addressing any data quality and validation requirements.

What are we looking for?

• Bachelor's Degree in computer science, engineering, business analytics, technology, or a related field.
• Minimum of 2 years of experience in data engineering, data analytics, or data product management roles within the tech industry. Experience in healthcare is a plus.
• Ability to implement tests in Python.
• Experience in machine learning algorithms
• Good understanding of the validation requirements of an algorithmic product. Knowledge of healthcare regulation and auditing requirements is a plus.

What do we offer in return?

• Fun working environment
• Employee Wellness Program

Does it sound like something you are interested in exploring further? Please be in touch with our team for an initial chat at [email protected]

Activate Interactive Singapore is an equal opportunity employer. Employment decisions will be based on merit, qualifications and abilities. Activate Interactive Pte Ltd does not discriminate in employment opportunities or practices on the basis of race, colour, religion, sex, sexuality, national origin, age, disability, marital status or any other characteristics protected by law.

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Your personal data will be processed for the purposes of managing Activate Interactive Pte Ltd’s recruitment related activities, which include setting up and conducting interviews and tests for applicants, evaluating and assessing the results, and as is otherwise needed in the recruitment and hiring processes.

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Job Description:

• Design, develop, and optimize machine learning (ML) models and algorithms to address business challenges.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models effectively.
• Train and fine-tune ML models using appropriate algorithms, techniques, and tools.
• Conduct evaluations to assess model performance, applying methods such as cross-validation, hyperparameter tuning, and ensemble learning.
• Work closely with software engineers and DevOps teams to deploy models in production environments.
• Implement APIs and integrate models into existing systems to enable real-time decision-making.
• Monitor deployed models to ensure optimal performance, address anomalies, and resolve issues.
• Continuously refine models and algorithms based on user feedback and performance metrics.
• Perform exploratory data analysis to uncover trends and insights.
• Use statistical methods and visualization techniques to communicate findings to stakeholders.
• Stay updated on advancements in ML and artificial intelligence (AI).
• Evaluate and recommend new tools, libraries, and methodologies to enhance workflows.

Job Requirements:

• At least 8+ years of hands-on experience in designing, developing, and deploying ML models for real-world applications.
• Deep Learning, Machine Learning, and Statistical Analysis
• Familiarity with Large Language Models and Generative AI technologies is a plus.
• Proficiency in Python and ML frameworks.
• Strong understanding of statistical analysis, probability theory, and hypothesis testing.
• Experience with cloud-based ML tools (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is advantageous.