Responsibilities

· Provide administrative support to the Department.

· Coordinate department and project activities, and prepare documents required

· Manage administrative and operational duties like scheduling, arranging and facilitating meetings

· Proper documentation of records

· Management of department’s inventory and equipment

Requirements

· GCE ‘N’ / ‘O’ / ‘A’ Levels or Diploma Holders

· Good organisational and administrative skills

· Good interpersonal, verbal and written communication skills

· Proficient in Microsoft Outlook, Word and Excel

· Good team player, have an eye for details and ability to multi-task

If you are interested in the position, do kindly drop your most updated resume to [email protected]

Esther Lim Suk Hui

R1872808

Recruit Express Pte Ltd (Healthcare & Lifesciences Division)

EA License: 99C4599

Job Description

• Industry/ Organization Type: Supply Chain
• Position Title: Data Entry Specialist
• Working Location: Tampines
• Working Hours: 5 days, Monday – Friday (8 am - 5 pm)
• Salary Package: Basic Salary
• Duration: 3-Months Contract

Key Responsibilities

• Verify and check products.
• Enter relevant information into the SAP system accurately.
• Communicate with suppliers to resolve any unclear information or discrepancies.
• Maintain organized records and ensure data integrity.
• Assist in generating reports and extracting data as needed for different business needs.
• Perform other ad hoc duties as assigned to support the team and business operations.

APPLY NOW!!!

• Experience using the SAP system is preferred.
• Strong attention to detail.
• Good computer literacy and communication skills.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job(at)anradus.com.sg. Kindly indicate #67597 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. 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 continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

• 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 Details:

• Office Location: Macpherson
• Working Hours: : Mon – Fri : 9am - 6pm OR 1pm – 9pm (sat sometimes might need to work half day)
• Salary: S$10.50 per hour
• Contract : Until Jan/Feb 2025

Job Scopes:

- To key all orders

- Vetting & checking to ensure all data are in order

- Other ad hoc duties

Interested candidate please click "APPLY"to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform - GO Mobile https://go.persolkelly.com/job/apply/9561

Should you be interested in this position, please contact Coco at 8121 4759 your resume directly for fast respond.

We regret to inform that only shortlisted candidates will be notified.
By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates to collect, use and disclose your personal data for the purposes set out in the Privacy Policy available at https://www.persolkelly.com.sg/policies. You acknowledge that you have read, understood, and agree with the Privacy Policy.

PERSOLKELLY Singapore Pte Ltd • UEN No. 200007268E • EA License No. 01C4394 • EA Registration No. R23117223 (Poh Siew Ling)

At least 8 years of working experience in Test Automation, using test frameworks for Database (ETL Testing) and Data analytical testing.

• Working knowledge in testing Data management platform tools same-as/similar-to ‘Golden Source’

• Sound knowledge in Java programming, SQL queries and Cucumber (Java) testing framework.

• Good knowledge in testing scheduling/orchestration tools (like Control-M, Azure Data Factory)

• Working knowledge of relational databases and comfortable with testing SQL jobs and stored procedures with awareness of data security.

• Basic understanding of data quality, profiling, and analytics concepts.

• Working experience with test management tools such as Jira with Xray / Zephyr

• Working knowledge of tools such as bitbucket, Jenkins, confluence and familiar with Git branching model

• Working experience in Agile projects, Behavior Driven Development (BDD) approach to software development and testing.

• Good to have basic programming knowledge in Python

• Good to have knowledge of Azure cloud platform.

• Good to have working experience in investment Bank or Asset Management industry.

Key Responsibilities:

• Collaborate with cross functional team members and stakeholders to identify, collect and analyze data; to solve data related business challenges
• Analyze datasets to identify trends and uncover insights for potential business improvement and business opportunities
• Create interactive dashboards and visualizations using Power BI, Tableau, or similar tools to effectively communicate findings
• Evaluate and improve data quality, ensuring the accuracy and consistency of datasets
• Present insights and recommendations to management in clear, concise, and impactful formats

Requirements:

• Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
• At least 2-3 years of work experience in data analytics, database management or statistical analysis or a related field
• Familiarity with F&B or retail industry analytics is an advantage
• Strong data visualization skills using tools such as Tableau, Power BI, or equivalent
• Advanced proficiency in Microsoft Excel; experience with SQL, Python, or R is a plus
• Strong analytical, curious, business-oriented and written/oral communication skills, capable of presenting technical information to nontechnical stakeholders, and the ability to interpret complex datasets
• Attention to detail and a commitment to delivering high quality work

Responsibilities

Support Data Management operation activities for the Enterprise Data Warehouse

Skills Required

• Experience in data analysis
• Experience in managing data reconciliation/quality checks (implementation, monitoring and troubleshooting)
• Handle data issue management.
• Proficient in Oracle PL/SQL
• Experience in Tableau, Snowflake, Denodo
• Experience in performing UAT
• Manage SLA and queries from end users
• Provide documentation support in technical/functional specifications
• Good to have investment domain knowledge
• Good problem solving and logical thinking

Responsible for cultivation of large scale analytical use cases delivering exponential value by designing and delivering advanced analytics solutions at scale (including Petabyte scale solutions)

Using industry leading Big Data technologies, increasing productivity of models delivery by deep domain expertise

Being a one stop shop and E2E accountable for scale up - hiding complexity of IT from business case owners (understanding of patterns, taking care of engagements with Enterprise Architects, Data Management, Cloud, Infosec and Platform teams)

Being a trusted partner of Cloud and Infosecurity teams with autonomy within their frameworks, delivering right solution architecture, automation and technology choices starting from experimentation and proof of concept phases of new analytical models that generate insights and answers to business questions.

Proficient at use of Microsoft Excel, Word & PowerPoint, tableu, Power BI

Collects, organizes, and then migrates incoming data acquired by company to other departments within the company for use

As a Data Consultant at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.

Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Consultant, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.

In this role, your responsibilities may include:

• Primary responsibilities include working with IBM Consulting clients on implementing, configuring and extending the Modern Data Accelerator assets.
• Responsible for providing feedback to the Development Team on MDA extensions. This includes analysis, design testing, and feedback activities.
• Assists in MDA Demos and training activities

Required Professional and Technical Expertise :

• Knowledge of Data Architecture and Data Products
• NodeJS User Interface Experience
• Python Development Experience
• GenAI Development Experience

Preferred Professional and Technical Expertise :

• Basic understanding or experience with predictive/prescriptive modeling skills
• You thrive on teamwork and have excellent verbal and written communication skills.
• Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
• Ability to ask business and industry questions to identify appropriate modeling techniques
• Ability to communicate results to technical and non-technical audiences

Job Requirements / Skills / Responsibilities:

· Proficient in Python, SQL, PL/SQL, and CICD.

· Familiarity with data warehouses such as Snowflake and Oracle.

· Strong analytical and problem-solving skills.

· Good team player and communication skill.

Skillset (Good to have)

· Familiarity with Denodo

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.

Responsibilities:

The incumbent is responsible for the claims processing, which includes but not limited to:

· Assist in the claims processing including outpatient and inpatient claims

· Provide customer service to service providers and client

· Ensure accurate reimbursement to employees/service providers on timely manner

· Data entry and adjudication of outpatient and inpatient benefit claims

· Assist in answering phone calls and email enquiries from service providers, corporate HR and employees

· Respond to enquiries and complaints

· Provide support to resolve problems

· Ensure accurate reimbursement to employees/service providers on timely manner.

· Verify that claims are processed and reimbursed according to clients’ requirements and policy

· Prepare letter/emails of rejected claims

· Assist with preparation of explanation of benefits letters

Requirements:

· Minimum GCE O Level

· 1-3 years of work experience, preferably in healthcare industry

· Proficient in MS office

· Excellent Customer Service skill

· Meticulous with keen attention to details

· Excellent communication skill

· A Resourceful individual who can work independently and is also a team player

· Ability to multi-task and prioritise work

Role: Software Consultant

Experience: 10+ Years

Technical Skills:

ETL Tools : Informatica Power Center 9.1/10.5, IBM WebSphere DataStage 8.0.1/9.1.2PX

Programming Languages : SQL, PL/SQL

Big Data Tools : HDFS, Hive, Hue, Sqoop, Spark

Operating Systems : Windows, UNIX, Linux

Scripting Languages : UNIX, Shell Scripting

Databases : Oracle, Netezza, AS400

Decisioning and Analytics Tools : CMDS, SDS

Tools : BMC Remedy, Control-M, JIRA, Aldon, DevOps (CI/CD), SQL Developer, Toad

Key Responsibilities:

• Participate in end-to-end projects for system implementation of MLS system

• Engage and collaborate with Architects, Security and Development Lead to ensure solution design complies with enterprise design principles, security, and control standards

• Liaise with application teams across group and countries build the enhancements according to the technical solution plan

• Coordinate with Technology Delivery Manager and System Analyst to plan technical deliverables and schedule, perform design and development works to meet project requirements, and produce technical documents

• Escalate issues that impacts project schedule on timely basis and propose workarounds/resolutions

• Perform data profiling, cleansing, transformation and validation to ensure data quality and integrity throughout the shell scripts and ETL pipelines

• Test, maintain and recommend software improvements to ensure strong functionality and optimization

• Create and maintain technical documentation, including ETL specifications, data mappings, data dictionary, process workflows, data ownership and error handling procedures

• Implement project change request and in accordance with deployment schedule

• Partner with Test Management teams to ensure completion of SIT, UAT, performance / load testing and application security testing with quality result

• Facilitate and provide technical and testing support before and after production deployment

• Collaborate with cross-functional teams, such as data scientists, analysts, and business users, to understand their data requirements and provide support as needed

• Work with production support team members to conduct root cause analysis of issues, review new and existing code and/or perform sanity testing and unit testing

• Liaise with other units across IT and Business in the organization

• Manage external vendors for project delivery within schedule,

· Analyzing the impact for the existing models

· Analyzing business functions and process descriptions

· Product and application mappings creation

· Migration and Conversion of Citi history data to existing UOB data marts using ETL tools.

Generating Reconciliation reports

Key Requirements:

Must Have

• Bachelor's degree in computer science, information technology, or a related field

• At least 8 years of experience and knowledge in Control M, Unix Shell Scripting, and SQL

• At least 8 years of experience and knowledge in deployment process, create, manage and maintain CICD from source code repository, version control, code merge to deployment and housekeeping

• At least 6 years of experience in Hadoop, Hive, Hbase, HDFS and Data Engineering

• Experience in Bitbucket, Git, Jenkins, Artifactory and Aldon

• Experience in JIRA, Remedy and Incident Ticket management

• Ability to multitask effectively and handle large amounts of data

• Highly driven, pro-active and a strong team player

• Excellent interpersonal skills and written and verbal communication skills in English

Good to Have

• Experience in , Java, NoSQL

• Experience in System Interfaces (SFTP, FTP, Connect Direct, API, Rest)

• Experience in Confluence and SharePoint

Role & Requirement:

• 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.
• Finance domain knowledge.
• Problem solving and logical thinking.

SKILLS: Oracle, PlSQL, UAT, SQL, DATA ANALYSIS,

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.

Summary:

We are seeking a highly skilled and experienced Data Engineer to design, develop, and deploy big data solutions. The ideal candidate will have strong expertise in designing and architecting large-scale data platforms using advanced technologies such as Cloudera, Azure Cloud, and Kubernetes, among others.

Key Responsibilities:

• Responsible for the design, architecture, and implementation of end-to-end Big Data solutions.
• Apply data mining and data modeling to build data analytic solution based on project requirements. Collaborate with data science and engineering teams to optimize the deployment of data models and machine learning pipelines.
• Design and architect scalable solutions using technologies like Cloudera Machine Learning, Elasticsearch, and AML applications. Actively involve in the integration of Cloudera CDH/CDP platforms for data management and analytics.
• Ensure high availability and disaster recovery of big data platforms using technologies like Kubernetes, VMWare, and Azure Cloud.
• Automate infrastructure and deployment processes using Chef and Shell scripting.
• Implement monitoring and observability solutions using Prometheus, Grafana, and other monitoring tools.
• Manage security frameworks for big data environments using CyberArk and Trend Micro.
• Perform infrastructure troubleshooting and manage incident resolution using Remedy.
• Optimize database performance and management using PostgreSQL.
• Collaborate with cross-functional teams to ensure secure, reliable, and scalable infrastructure on HPE servers.

Required Skills & Qualifications:

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or related fields.

Experience:

• At least 5 years of experience in Big Data architecture and infrastructure.

Technical Expertise:

a) Cloudera CDH/CDP platforms and Cloudera Machine Learning.

b) Azure Cloud architecture and deployment.

c) Experience with Kubernetes, VMWare, RHEL, and container orchestration.

d) Monitoring tools: Prometheus, Grafana.

e) Security tools: Trend Micro, CyberArk.

f) Scripting: Shell scripting and automation with Chef.

g) Strong experience with Tableau and SAS for data visualization and analytics.

h) AML application expertise and experience with Elasticsearch.

i) Database expertise in PostgreSQL.

j) Strong experience in infrastructure management with HPE servers.

k) Proven experience in working with cloud and on-premise environments.

Preferred Skills:

a) Experience with disaster recovery, high availability, and security compliance.

b) Experience with DevOps practices and continuous integration (CI) pipelines.

c) Experience managing large-scale environments and multi-tier architectures.

Soft Skills:

a) Strong problem-solving and critical-thinking skills.

b) Excellent communication and leadership abilities.

c) Ability to work collaboratively in a fast-paced, dynamic environment.

d) Strong organizational and multitasking skills.

• Employ statistical modeling and machine learning to diagnose customer issues, pinpoint root causes, and provide actionable solutions.
• Partner with field engineers to analyze plasma etching system data, delivering timely, accurate, and insightful reports to drive improvement.
• Clearly communicate complex data analysis findings to both customers and internal teams, presenting results in a concise and understandable manner.
• Develop sophisticated statistical and machine learning algorithms to extract valuable insights from large, complex datasets, and collaborate with engineering teams to assess their effectiveness.
• Share best practices and contribute to cross-functional data science initiatives with global data engineering teams.
• Oversee and maintain internal analytics solutions, ensuring data integrity, accuracy, and continuous improvement.
• Develop and conduct training sessions on data analytics tools like JMP and KNIME to empower local engineers.
• Undertake other assigned tasks as needed.

Requirements:

• Holds a degree or master's degree in Microelectronics, Data Science, or a relevant field.
• Possesses a minimum of 3 years of experience in semiconductor manufacturing equipment, semiconductor fabrication, semiconductor parts/peripherals, or a related industry.
• Proven track record as a Data Scientist in the semiconductor industry, specializing in plasma dry Etch processes.
• Skilled in developing and implementing algorithms to optimize processes and solve problems.
• Strong knowledge of data analytics methodologies, statistical analysis, machine learning techniques, and predictive modeling.
• Proficient in using various data science tools and programming languages (Python, JSL, R, etc.) for data manipulation, visualization, and analysis.
• Excellent communication skills and ability to work effectively in a team environment, building strong relationships with customers.
• Meticulous, organized, resourceful, highly motivated, and capable of independent work.

To apply, please visit www.gmprecruit.com and search for Job Reference: 24993

To learn more about this opportunity, please contact Gia Grace at [email protected]

We regret that only shortlisted candidates will be notified.

GMP Technologies (S) Pte Ltd | EA License: 11C3793 | EA Personnel: Bautista Gia Grace De Guzman | Registration No: R23111973

This is in partnership with the Employment and Employability Institute Pte Ltd (“e2i”).

e2i is the empowering network for workers and employers seeking employment and employability solutions. e2i serves as a bridge between workers and employers, connecting with workers to offer job security through job-matching, career guidance and skills upgrading services, and partnering employers to address their manpower needs through recruitment, training, and job redesign solutions. e2i is a tripartite initiative of the National Trades Union Congress set up to support nation-wide manpower and skills upgrading initiatives.

By applying for this role, you consent to GMP Recruitment Services (S) Pte Ltd’s PDPA and e2i’s PDPA.

Job Description & Requirements

Responsibilities:

Work with group companies to collect, clean, and preprocess datasets to ensure data quality and reliability

Conduct exploratory data analysis to identify patterns, trends, and anomalies

Ability to data manipulation and apply statistical methods to transform data into actionable insights for business stakeholders (familiar with regression and time series analysis)

Interpret and communicate findings to non-technical stakeholders through reports, BI dashboards, and presentations

Automate existing recurring reports and analyses

Design and develop the data architecture for BI solutions

Build data pipelines where necessary for the development of visualization solutions.

Experience:

Minimum of 2-3 years of experience in data analysis, preferably in the Oil & Gas, Marine, or Construction industry.

Experience working on large-scale projects (e.g., $100 million+), particularly in analyzing project performance data.

familiarity with Power BI for data visualization.

Skill:

Proficient in statistical software and data analysis tools (e.g., Python, R, SQL).

Advanced skills in Microsoft Excel, including macros and complex data functions.

Strong experience with data visualization tools (e.g., Power BI, Tableau) to track KPIs and report insights.

Ability to handle large datasets, interpret trends, and provide actionable insights

As a Data Consultant at IBM you will harness the power of data to unveil captivating stories and intricate patterns. You'll contribute to data gathering, storage, and both batch and real-time processing.

Collaborating closely with diverse teams, you'll play an important role in deciding the most suitable data management systems and identifying the crucial data required for insightful analysis. As a Data Consultant, you'll tackle obstacles related to database integration and untangle complex, unstructured data sets.

In this role, your responsibilities may include:

• Primary responsibilities include working with IBM Consulting clients on implementing, configuring and extending the Modern Data Accelerator assets.
• Responsible for providing feedback to the Development Team on MDA extensions. This includes analysis, design testing, and feedback activities.
• Assists in MDA Demos and training activities

Required Professional and Technical Expertise :

• Knowledge of Data Architecture and Data Products
• NodeJS User Interface Experience
• Python Development Experience
• GenAI Development Experience

Preferred Professional and Technical Expertise :

• Basic understanding or experience with predictive/prescriptive modeling skills
• You thrive on teamwork and have excellent verbal and written communication skills.
• Ability to communicate with internal and external clients to understand and define business needs, providing analytical solutions
• Ability to ask business and industry questions to identify appropriate modeling techniques
• Ability to communicate results to technical and non-technical audiences

About the Role:

Important note: Only Singapore Citizen candidates will be considered as this is a high security CAT-1 project.

We are seeking a skilled Data Analyst to support our Data Management Operations activities. The ideal candidate will have a strong background in data analysis, reconciliation, and quality checks, along with hands-on experience in Oracle PL/SQL. You will be responsible for ensuring data integrity, conducting UAT, managing user queries, and meeting data-related SLAs.

Key Responsibilities:

• Data Management Operations Support: Assist in the efficient operation of data management tasks, ensuring data processing, monitoring, and integrity are maintained across systems.
• Data Reconciliation & Quality Checks: Perform data reconciliation and quality checks to ensure the consistency, accuracy, and completeness of data. Troubleshoot and resolve discrepancies and data quality issues.
• Oracle PL/SQL Expertise: Use Oracle PL/SQL to query, manipulate, and manage data across systems, ensuring data consistency and integrity.
• UAT Support: Participate in User Acceptance Testing (UAT) for new or updated data systems, validating their functionality, data flow, and ensuring they meet all necessary requirements.
• SLA & Query Management: Oversee SLAs related to data operations, addressing end-user queries and requests promptly while ensuring timely resolution of any issues.
• Documentation Support: Assist in the creation and maintenance of technical and functional documentation, including system specifications, workflows, and data management protocols.
• Finance Domain Knowledge: Apply a strong understanding of finance domain processes to ensure data operations comply with business needs and regulatory standards.
• Troubleshooting & Problem Solving: Use logical and analytical skills to resolve data-related issues, identifying root causes and providing effective solutions.
• Collaboration: Collaborate with cross-functional teams (including IT, finance, and operations) to ensure smooth data management operations and enhance process efficiency.

Required Skills and Experience:

• CAT-1 clearance or eligibility is required for this role.
• Proven experience in supporting data management operations and performing data analysis, reconciliation, and quality checks within Investment firm.
• Hands-on experience with Oracle PL/SQL for querying, reporting, and data manipulation.
• Experience performing UAT, including testing and validating data systems.
• Strong ability to manage SLAs, handle user queries, and prioritize tasks.
• Experience providing documentation support, including creating and maintaining technical and functional specifications.
• Solid understanding of finance domain processes, regulations, and data requirements.
• Strong problem-solving and logical thinking abilities with attention to detail.
• Excellent communication skills, both written and verbal, to interact effectively with stakeholders and teams.

Advantageous Skills:

• Snowflake: Experience working with Snowflake for cloud-based data warehousing and analytics.
• Denodo: Familiarity with Denodo for data virtualization and integration across multiple data sources.

• 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.

About the Role

We are looking for a Data Engineer to join the Data and Artificial Intelligence Platforms (DAIP) team.

Key Responsibilities

• Build and manage data pipelines to collect, clean, and harmonize data.
• Monitor databases and ETL systems, ensuring performance, capacity, and uptime.
• Create reusable data models based on end-user needs.
• Design secure data access mechanisms and implement data quality checks.
• Maintain data catalogs, enforce governance policies, and improve infrastructure.
• Research and adopt new technologies to enhance data systems.
• Protect sensitive data through security best practices.

Senior engineers will additionally:

• Establish best practices and mentor team members.
• Assist with recruitment.

Expectations

Beyond coding, you'll determine what to build and how, leveraging cloud services, open-source tools, and community solutions to maximize value and minimize redundant effort.

Working Here

• Impactful Work: Develop products that solve real societal challenges in areas like healthcare, transportation, and education.
• Rapid Prototyping: Test ideas quickly to identify opportunities and problems.
• Ownership: Take responsibility for seeing your ideas through.
• Continuous Learning: Embrace learning new technologies and frameworks as part of the job.

Skills & Requirements

• Proficiency in Python, JavaScript, or Scala, with a passion for software engineering.
• Experience writing efficient, reliable, and maintainable code.
• Exposure to cloud or on-prem environments; experience with DevOps/CI/CD is a plus.
• Interest in data science, machine learning, and working for public good.

Responsibilities:

• Consults with supervisor, systems analysts, other programmers, and end users to gather information about program intent, functions, features, data requirements, input requirements, output requirements, internal and external checks and controls, hardware and operating system environment, and interfaces with other systems.
• Designs and writes program specifications based on consultations with supervisor, systems analysts, other programmers, and end users.
• Converts designs and specifications into computer code.
• Compiles code into programs and corrects errors detected in the compile process.
• Creates test transactions and runs tests to find errors and confirm the program meets specifications.
• Analyses code to find causes of errors and revise programs.
• Writes and maintains documentation of changes to computer code, programs, and specifications.
• Designs and codes layouts for onscreen user interfaces, printed outputs, and interfaces with other systems.
• Engages in user review and technical documentation written by others to confirm consistency with program operations.
• Provides technical assistance by responding to inquiries regarding errors, problems, or questions with programs.
• Revises programs for corrections, enhancements, or system environment changes.
• Trains end users or technical support staff to use and support programs.
• Other duties as required. This list is not meant to be a comprehensive inventory of all responsibilities assigned to this position

Required Qualifications/Skills:

• Bachelor’s degree and 8+ years’ related experience and/or training; or equivalent combination of education and experience
• Networks with key contacts outside own area of expertise
• Determines methods and procedures on new assignments and may coordinate activities of other personnel
• Experience with programming or computer science/engineering
• Familiarity with relational database schemas and SQL
• Knowledge of using modern developmental tools
• Expertise in programming a software program (windows or web based) that interacts with a relational database
• Knowledge of coding languages
• Knowledge various development methodologies

Data Analysts collect data, such as sales numbers or market research, to help companies make the right decisions. Key role of this position is to generate actionable insights, trends, problem statements, and business value. This person may be required to work with key partners in business and technology teams to create meaningful visualizations and stories to describe data in forms usable by the business.

Responsibilities

• Collaborate with cross functional team members and stakeholders to identify, collect and analyze data; to solve data related business challenges
• Analyze datasets to identify trends and uncover insights for potential business improvement and business opportunities
• Set up and maintain tracker on key leading business indicators
• Use graphs, infographics and other methods to help visualize data and present recommendations and findings to stakeholders
• Create useful reports and dashboards to help team members and stakeholders track performance and achieve business goals
• Establish KPIs to measure the effectiveness of data driven business decisions
• Ensure data is clean and Verified for accuracy and consistency
• Supporting the data warehouse in identifying and revising reporting requirements
• Providing expertise in data storage structures, data mining, and data cleansing
• Create and apply statistical model if necessary to create and evolve insight

Qualifications:

• Graduate Degree in Mathematics, Statistics, Economics, Computer Science, Business or any other related discipline or commensurate work experience or demonstrated competence. Proven experience in data analysis, preferably in a similar role.
• Typically has 2-3 years of work experience, preferably in data analytics, database management, statistical analysis, or a related field or an advanced degree with little or no work experience.
• Strong analytical, curious, business-oriented and written/oral communication skills
• Strong data visualization skills using tools such as Tableau, Power BI, or others.
• Excellent problem-solving and critical-thinking abilities.
• Effective communication skills with ability to story tell through data
• Keen learner, open to feedback and self-improvement
• (Preferred) Familiarity with data governance principles and data privacy regulations
• (Preferred) Programming knowledge such as Python and R
• (Preferred) Knowledge in Data Warehousing, ETL/ ELT processes

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:

• Perform data extraction, cleaning, transformation, and flow.
• Design, build, launch and maintain efficient and reliable large-scale batch and real time data pipelines with data processing frameworks.
• Integrate and collate data silos in a manner which is both scalable and compliant.
• Collaborate with Project Manager, Frontend Developers, UX Designers and Data
• Analyst to build scalable data-driven products.
• Be responsible for developing backend APIs & working on databases to support the applications.
• Bridge the gap between engineering and analytics.
• Work in an Agile Environment that practices Continuous Integration and Delivery
• Work closely with fellow developers through pair programming and code review process

Requirements:

• 3+ years of experience with building production-grade data pipelines, ETL/ELT data integration with proper documentation
• Proficient in general data cleaning and transformation (e.g. pandas, pysparks, SQL)
• Knowledge in database design and various databases (e.g. structured dbase(postgres, mysql etc and unstructured -mongodb etc)
• Knowledge about system design, data structure and algorithms
• Knowledge with rest api and web requests/protocols in general
• Comfortable coding in at least 2 scripting language (eg. Python/SQL)
• Comfortable working in both windows and linux development environments
• Interest in data engineering in a big data environment using Cloud platforms (i.e. AWS, Azure, Google Cloud)
• Familiar with data modelling, data access, and data storage infrastructure like Data Mart, Data Lake, and Data Warehouse.

www.dadaconsultants.com

EA Registration Number: R21103926

Data provided is for recruitment purposes only

Business Registration Number: 201735941W

Licence Number: 18S9037

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