Job Scope & Responsibilities:

• Preparing payment responses
• Data input and updating records.
• Basic data verification and accuracy checks.
• Sorting documents, data entry, and data extraction
• Scanning, filing, and indexing of documents
• With and without experience also welcome
• Can start work immediately
• PC literate

Monday to Friday; 9am - 6pm

Location : Ubi Crescent

✔ Good Career Starter !!!

✔ Our Client is one of the Leading Data Management Company

✔ Till End of December

Working location:

Jurong West

Working hours:

Mon-Fri (830am - 6pm)

Responsibilities:

• Scanning and filing of documents in a fast-paced environment.
• Perform data entry duties by ensuring all data are keyed in correctly into database.
• Any other ad-hoc duties assigned.

Requirements:

• At least GCE ‘N’ Level qualification is needed.
• Able to Start Immediately

How to Apply:

Please prepare your updted resume (Include your current salary and expected salary) and email to [email protected]or Whatsapp +65 8512 8044

We regret only shortlisted candidates will be notified.

EA License No: 05C3451
EA Personnel Reg No: R2198644
Ellen Lee Wei Xin

Working location: Orchard

Working hours: 10am to 6pm (Monday to Friday)

JOB DESCRIPTION

• Collect and gather data from internal and external sources, including databases, spreadsheets, APIs, and other data repositories
• Ensure the accuracy, completeness, and integrity of data by performing data validation, cleansing, and normalization procedures
• Collaborate with stakeholders to define data requirements, objectives, and key performance indicators (KPIs) for analysis
• Analyze large datasets using statistical and data analysis techniques to identify patterns, trends, and correlations
• Design and create reports, dashboards, and data visualizations using data visualization tools
• Prepare and deliver regular reports and presentations to communicate findings, insights, and recommendations to management and cross-functional teams
• Manage and update databases, data warehouses, and data repositories to ensure data accuracy, consistency, and accessibility
• Implement data validation and verification procedures to ensure accuracy
• Ensure compliance with data protection regulations and company policies

JOB REQUIREMENTS

• Minimum Diploma and above
• Strong analytical and problem-solving skills, with the ability to work with complex datasets and derive meaningful insights
• Entry level candidates are welcome to apply, training will be provided

EA Reg. Number: R21100629

EA License Number: 22C1278

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

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.

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 Us

Real Estate Analytics is fast growing Singaporean property technology startup with international ambition whose mission is to research, develop and implement the next generation real estate modelling and analytics tools for global markets.

Responsibilities:

- Extract, Transform, and Ingest real estate data into data warehouse

- Build robust program for data extraction with failure retry with various queries (restful API, GraphQL, selenium, etc.)

- Design and implement data extraction solution in a distributed system

- Build efficient data pipelines (using Airflow, DBT, AWS etc.)

- Build data models and applications to support products and solve specific business needs (using SQL, Python etc.)

- Perform data validation to assure integrity, accuracy and consistency, identify the root cause of data inconsistencies and process defects, and implement timely corrective actions

- Maintain data pipeline to ensure the smooth operation

- Collaborate with data analysts, data scientists, and product teams to improve data flows and applications performance

Requirements:

- Major in computer science, computer engineering, data analytics or other related technical field preferred

- At least 2 years of experience in data related fields

- Experience in handling large data sets and working with structured, unstructured and geographical datasets
- Strong experience in developing with Python and SQL

- Experience with distributed computing, parallel processing, and working with large datasets

- Strong experience in data lakes (integration of different data sources into the data lake)

- Experience in using Apache Airflow, DBT and/or AWS will be an added advantage

- Excellent communication and teamwork skills with the ability to work effectively in cross-functional teams

• 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.

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.

Sembcorp has a balanced energy portfolio of 21.2GW, with 14.4GW of gross renewable energy capacity across 10 countries*.

Its urban development projects span over 14,000 hectares across Asia and have generated over 377,000 employment opportunities and attracted close to US$50 billion of investment capital.

Sembcorp is listed on the main board of the Singapore Exchange. It is a constituent stock of FTSE Russell Index, MSCI Singapore Index, Straits Times Index as well as sustainability indices including FTSE4Good Index, iEdge SG ESG indices and several MSCI ESG indices.

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.

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

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

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.

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

Job Description / Requirements / Skills / Responsibilities:

· Possess a degree in Computer Science/Information Technology or related fields.

· 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.

Objectives of the position:

Data Analyst plays a critical role in driving continuous improvement, operational efficiency, and waste reduction across APAC and serves as the in-house expert for deriving actionable insights from Operations and Product management data to drive operational efficiency and support business decision-making. The analyst understands Operations and Product management data, requirements, gathers and consolidates data across APAC region, and distills this information into concise, actionable insights that can be effectively communicated to management and other stakeholders.

Key Responsibilities

• Develop clear and compelling visualizations to effectively communicate complex data insights to both internal and external stakeholders, enabling informed decision-making.
• Provide detailed analysis and actionable insights to support strategic and operational decisions, ensuring alignment with overall business objectives.
• Aggregate and interpret data from various sources to uncover trends and patterns, with a focus on process optimization and waste reduction.
• Collaborate closely with operations, supply chain, and product management teams across APAC to achieve organizational goals.
• Create and maintain dashboards that offer real-time visibility into key performance indicators (KPIs) across operations, logistics, purchasing, product, and management functions.
• Establish, measure, and refine KPIs to ensure they align with business objectives and drive continuous improvement.

Skills & Qualification

• Ability to present data insights clearly and persuasively to various stakeholders, including senior management and external partners.
• Ability to think critically and creatively to solve complex problems and optimize processes.
• Ability to analyze financial data and understand the financial impact of Lean initiatives on cost savings and ROI.
• Proficiency in visualization tools such as Tableau, Power BI, or QlikView for creating impactful dashboards and reports.
• Proficiency in Python and/or R for performing statistical analysis, creating predictive models, and managing large datasets.
• Experience with statistical methods such as regression analysis, hypothesis testing, and time-series analysis.
• Experience in planning, executing, and monitoring projects, including resource allocation and risk management.
• Strong focus on detail to ensure accuracy in data analysis and process improvements.
• Proven track record of successfully implementing practices in various operational settings.
• Proven ability to lead cross-functional teams and manage projects from initiation through completion.
• A bachelor’s degree in business management or a closely related field such as data science.

1. Data processing from reading taken in fieldwork.

2. Training in engineering software will be provided.

3. Basic computer skills, able to use MS Office.

4. Highly motivated, must be able to work well collaboratively or independently.

5. Attention to detail, responsible, and well organized

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:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

Responsibilities:

• Design, develop, and optimize large-scale data pipelines for efficient data collection, processing, and storage.
• Monitor and maintain data pipelines to ensure high availability and consistency.
• Develop algorithms for processing and analyzing large datasets.
• Utilize distributed computing frameworks like Hadoop and Spark for scalable data processing.
• Design and manage large-scale data storage solutions, including HDFS, Cassandra, NoSQL, and BigQuery.
• Implement robust data management practices to ensure data integrity and security.
• Collaborate with data scientists, analysts, and stakeholders to meet data requirements.
• Communicate complex data concepts effectively to non-technical stakeholders.
• Stay updated on the latest trends and advancements in big data technologies.
• Continuously enhance data infrastructure to improve performance and scalability.

Requirements:

• Bachelor's degree or higher in Computer Science, Data Science, or a related field.
• Minimum of 2 years of relevant professional experience preferred.
• Proven experience in designing and maintaining data pipelines and storage solutions.
• Strong proficiency with distributed computing frameworks, particularly Spark.
• Expertise in data management systems like HDFS, Cassandra, NoSQL, or BigQuery.

About JobTech
JobTech is the world's leading artificial intelligence and big labour data analytics product company that empowers leaders to develop people for new work realities, driven by real labour market needs and individuals' personal aspiration. JobTech is growing rapidly with global big names customers from both private and public sectors.

About the Team
The JobTech team is an enthusiastic bunch, obsessed with solving human capital business problems in talent development, using deep technology and labour market data. We embrace empowerment and appreciate the depth of every member’s area of expertise. We are hands-on dreamers who are willing to invest in projects and people. If you think you should be part of this awesome team looking to scale faster and better, don’t be shy and let us know!

Job Description

JobTech is a product start-up looking to solve real world labour problems and deliver the best possible experience to our end users. We're seeking passionate, self-motivated individuals who thrive in dynamic environments.

• Extract insights from raw data and present them clearly through reports, visualisations, or analysis.
• Assist sales and marketing teams by generating and maintaining statistical reports and data.
• Collaborate with data scientists to curate and improve JobTech’s data engine, including but not limited to data curation and model improvement.
• Address client queries on JobTech’s data and analytics solutions, validations and capabilities.
• Independently diagnose and resolve data quality issues, implementing effective solutions.
• Propose, manage and build long term solutions to improve data integrity (both engineering and people management aspects).
• Research, evaluate and experiment on new data models or improvements on existing models.

Requirements

• A self-starter that can thrive in a fast-paced environment.
• Passionate about data analytic techniques, and willing to pick up new skills/tools.
• Proficient in Python (for data analytics) and SQL, 1 to 2 years of experience is required.
• Willingness to engage in solutioning discussions and resolving data related issues as and when required for external clients
• Hands-on experience with text mining or NLP will be a plus.
• Experience with interactive visualisations or dashboard frameworks such as Plotly and Dash is an added advantage.

Note: Compliance with our stringent information security policies is mandatory.

• Policy Compliance: Adhere to JobTech's information security policies and procedures.
• Risk Management: Identify, assess, and mitigate security risks to protect sensitive information.
• Incident Response: Participate in the detection, analysis, and response to security incidents.
• Security Training: Attend regular training on information security best practices.
• Data Protection: Ensure the confidentiality, integrity, and availability of JobTech data.
• Regulatory Compliance: Ensure compliance with relevant legal, regulatory, and contractual requirements related to information security.
• Team Collaboration: Work closely with other functional departments to ensure cohesive security measures.
• Confidentiality: Maintain the confidentiality of sensitive information and enforce data protection measures.
• Continuous Improvement: Stay updated on the latest security trends and continuously improve the JobTech's security posture.

Role: Contract (1 year, Renewable)

Mandatory Skills: Big Data, Data pipeline, Apache and Hadoop

Experience: 6 - 8 yrs

POSITION GENERAL DUTIES AND TASKS:

- Strong in data engineering concepts and programming

- Experience in building and optimizing ‘big data’ data pipelines, architectures and data sets.

- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

- Strong analytic skills related to working with unstructured datasets.

- Experience in supporting data transformation, data structures, metadata, dependency and workload management.

- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

✨Lead with Purpose, Ignite New Opportunities, and Shape your Future!✨

We are one of the leading Sales & Marketing company assisting our established clients in providing them a one-stop solution to increase their sales revenues and market shares through face-to-face marketing.

We are looking to develop the next talent from scratch in our industry to a business partner in the future. If you have the desire, our systems have set many talents just like you!

What you will be doing:
- Ensure customer satisfaction