Job Description

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Big Data Engineer or similar role.
• Strong proficiency in Apache Spark and Scala programming.
• Experience with big data technologies such as Hadoop, Hive, Kafka, etc.
• Familiarity with data warehousing concepts and tools.
• Knowledge of SQL and NoSQL databases.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Preferred Qualifications:

• Experience with cloud platforms like AWS, Azure, or Google Cloud.
• Knowledge of machine learning frameworks and libraries.
• Experience with containerization and orchestration tools like Docker and Kubernetes.

EA Number: 11C4879

JOB SUMMARY

We are looking for a talented and experienced Lead Data Engineer to join our innovative team. The Lead Data Engineer will play a critical role in leading the design, development, and maintenance of our data infrastructure, pipelines, and analytical tools. The ideal candidate will have a strong technical background in data engineering, expertise in analytical tools, and proven leadership skills to mentor and guide a team of data engineers.

JOB DUTIES

• Lead the design, development, and implementation of scalable and efficient data pipelines, databases, and data infrastructure.
• Mentor, coach, and guide a team of data engineers, providing technical leadership and support.
• Collaborate with data scientists, product managers, and business stakeholders to understand data requirements, facilitate data-driven decision-making, and deliver actionable insights.
• Optimize database schemas, tables, and queries to support data storage, retrieval, and analysis.
• Integrate and optimize analytical tools such as Tableau, Power BI, or Looker to enable advanced data analysis, visualization, and reporting capabilities.
• Develop and enforce data engineering best practices, standards, and guidelines to ensure the quality, performance, and reliability of our data solutions.
• Implement ETL processes to integrate data from various sources, ensuring data quality, consistency, and integrity.
• Optimize data pipelines, queries, and infrastructure for performance, scalability, and cost-efficiency.
• Monitor and troubleshoot data pipelines and infrastructure issues, and provide timely resolutions.
• Stay up-to-date with the latest data engineering technologies, analytical tools, and best practices, and drive their adoption within the team.
• Ensure data security, compliance with data governance and privacy regulations, and adherence to analytical tool licensing agreements.
• Work closely with cross-functional teams to identify data needs and requirements, and deliver data solutions that meet business objectives.
• Document data pipelines, processes, and best practices, and contribute to the development of data engineering documentation and standards.
• Stay up-to-date with the latest data engineering technologies, tools, and best practices, and recommend their adoption as appropriate.

JOB REQUIREMENTS

• Bachelor’s degree in Computer Science, Information Systems, or equivalent work experience.
• 8+ years of experience in data engineering, with at least 3 years in a lead or senior engineering role.
• Proven leadership skills with experience in mentoring, coaching, and guiding a team of data engineers.
• Strong technical background in designing and implementing data pipelines, databases, and analytical tools.
• Proficiency in programming languages commonly used in data engineering such as Python, Java.
• Hands-on experience with big data technologies and frameworks such as Hadoop, Spark, Kafka, and Hive.
• Hands-on experience with analytical tools such as Tableau, Power BI, Looker, or similar platforms.
• Solid understanding of relational and NoSQL databases, and experience with database design, optimization, and SQL querying.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Experience with real-time data processing and streaming technologies (e.g., Apache Flink, Kafka Streams).
• Excellent analytical and reasoning skills with an ability to anticipate outcomes of a solution.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Strong sense of responsibility, initiative, and commitment.
• Self-motivated, proactive, and able to work independently with minimal supervision.
• Knowledge of data governance, data security, and compliance standards and best practices.
• Maintain confidentiality of information processed or prepared.
• Ability to lead, convince and inspire team members in a fast-paced environment.
• Willingness to travel to meet and work with offshore team members.
• Fluency in written and spoken English and Mandarin is highly desirable to liaise with Chinese speaking clients and counterparts.

Job Summary:

We are looking for a highly skilled and experienced Senior Data Professional with a comprehensive background in data engineering, data science, and analytics. The ideal candidate will be adept at building and optimizing data pipelines, analyzing large datasets, and applying advanced analytics to drive business insights. With strong expertise in data management, modeling, and visualization, this role supports data-driven decision-making across diverse domains, such as healthcare, finance, and business intelligence.

Key Responsibilities:

• Design, implement, and maintain scalable data pipelines and workflows to process large volumes of structured and unstructured data.
• Analyze and interpret complex datasets to extract meaningful insights that support strategic business initiatives.
• Develop and optimize data models, dashboards, and visualizations for effective decision-making.
• Build machine learning models and predictive analytics solutions to address business challenges.
• Collaborate with stakeholders to gather requirements and translate them into data solutions.
• Ensure data quality, security, and compliance with organizational and industry standards.
• Manage data migration, integration, and transformation processes across platforms.
• Support production environments by troubleshooting issues and optimizing system performance.
• Stay updated with emerging trends and technologies in data engineering, analytics, and machine learning.

Qualifications:

• Proven experience in data engineering, data science, and analytics.
• Strong understanding of data processing, storage, and retrieval techniques.
• Expertise in statistical analysis, machine learning, and data visualization methods.
• Proficiency in programming and scripting languages for data analysis and engineering tasks.
• Familiarity with data governance, security, and compliance frameworks.
• Excellent analytical thinking, problem-solving, and communication skills.

Preferred Skills:

• Experience with big data ecosystems and cloud-based data platforms.
• Knowledge of data testing frameworks and job scheduling tools.
• Strong domain expertise in industries like healthcare, finance, or marketing.
• Leadership and collaboration skills for cross-functional teamwork.

Education and Experience:

• Bachelor’s degree in Computer Science, Data Science, or a related field. Master’s degree is a plus.
• 7+ years of professional experience across data engineering, data science, and analytics roles.

ENGIE Services Singapore is a leading provider of Integrated Facilities Management solutions (IFM), property management, operations and maintenance, specialized rail engineering works, sustainable solutions and FM Consultancy services. With strong presence in various counties across South East Asia, we operate across mission-critical industries - aviation, transportation, healthcare, education, government and commercial.

ENGIE understands the integrated role of facility management and the value of it can be expanded beyond the traditional approach. As a total FM, specialized engineering and sustainable real estate solutions service provider, ENGIE offers a comprehensive range of technical, digital and support services customisable to best suit your unique needs.

Job Description:

• Monitor, maintain and coordinate the operations of data centre electrical/ mechanical infrastructure and building monitoring systems.
• Conduct daily site inspections, record readings and data logging of data centre equipment to ensure proper operation and checklist verification.
• Provide 24X7 first level onsite response to any M&E incident accordingly to contractual obligation.
• Perform troubleshooting of mechanical and electrical equipment malfunctions and perform ad-hoc repair as and when necessary.
• Report operations abnormality and perform escalation with follow-up on improvement plan promptly.
• Create quotation, work orders, coordinate vendor/supplier repairs/replacement on the data centre sites.
• Adhere to data centre operations work rules, policies and procedures that include but not limited to emergency operating procedures (EOPs), emergency drill procedures, standard operation procedures (SOPs), methods of procedures (MOPs) incident management, maintenance management, vendor management and document control standards.
• Maintain proper documentation and service reports are filed and submitted to customers for auditing and tracking purposes.
• Plan the annual master planned preventive maintenance schedules and provide guidance for addition to, deletion or modification of existing maintenance routines.
• Maintain and monitor the appropriate key performance indicators (KPIs) and external service level agreements (SLA's) to measure and improve onsite operations
• Oversee the execution of planned maintenance works performed by appointed vendors/subcontractors to ensure maintenance meets satisfactory level and are in accordance with the signed contract agreement.
• Provide onsite support to customer requests, incidents, can change and problem management activities.
• Manage and handle ticket management and queue monitoring.
• Schedule weekly meetings with customer and its appointed subcontractors with proper minutes taken to review and discuss service levels, operational issues as well as planning for future work.
• Prepare customer weekly progress report and track status of deliverables.
• Prepare incident report accordingly to contractual service level agreement.
• Support yearly performance review session with customer.
• Coordinating all changes to the DC infrastructure that may affect the service levels of any other service areas within the DC premises.
• Accountable for all site inventory management such as tools, test equipment, replacement parts, materials, spare parts and consumables used and sorted at the site.
• Adherences to all quality, health & safety, environmental policies and customer house riles.
• Perform any other ad-hoc tasks associated with the maintenance, upgrading, repairs, addition or modification of the facilities, as instructed by the management.
• Ensure that all information security management system related policies, procedures and specified requirements are implemented and complied to.
• Any other tasks as assigned by the supervisor.

Requirements:

• At least a Post Graduate Diploma in Engineering (Electrical/Electronic), Engineering (Industrial), Engineering (Mechanical) or equivalent
• Minimum 3 years Data Centre facilities experience
• Operational experience with critical facility equipment/ system that includes but not limited to transformers, generators, DRUPS, UPS, PDU, Chiller System, CRAH and Fire System
• Work independently with minimum of supervision
• Analytical and problem-solving skills
• Good organizational skills with the ability to maintain all facility related documentation. Detailed and careful in submissions and reporting
• Proficient in Microsoft Office
• Has a good safety mindset and displays good WSH behaviour

Key Responsibilities:

• Analyse large datasets to identify trends, patterns and provide insights to support business decisions and strategies
• Develop and maintain interactive dashboards and reports using data visualization tools (e.g. Power BI)
• Conduct process mining to identify inefficiencies, bottlenecks and opportunities for process improvements
• Monitor data quality and ensure accuracy, completeness and consistency in management reporting
• Manage and respond to data requests from internal stakeholders, ensuring timely and accurate delivery of required insights
• Leverage data intelligence tools and methodologies to support continuous improvement in insurance operations

Who are we looking for:

• Degree Holder in Data Science, Business Analytics, Computer Science, Statistics or a related discipline
• Experience in data visualization tools (e.g. Power BI, Tableau, Qlik)
• Strong proficiency in Excel and experienced with basic SQL
• Attentive to details and committed to ensuring data accuracy
• Good verbal and written communication skills, ability to present data clearly
• Pro-active and self-motivated, able to take the initiative independently and work under minimal guidance/supervision
• Positive attitude and willingness to learn and collaborate

Responsibilities

• 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.
• Any other ad-hoc duties as assigned by supervisor.

Requirements

• 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

Interested applicants, please email your resume to Andre Chua Jing Ming

Email: [email protected]

CEI Reg No: R1989053

EA Licence No: 99C4599

Recruit Express Pte Ltd

Company’s Profile:

Our client is an international technology and engineering company that specialises in providing innovative digital and security solutions to their esteemed clients. They are well-known for their dedication of quality delivery standards with more than 15,000 engineers globally supporting projects. They have an international presence in over 100 countries worldwide and are looking out for AI Engineers to join their team and contribute to their ongoing success.

Location: Ang Mo Kio/Yio Chu Kang area

Job Responsibilities:

• Design, build, and optimize machine learning models and algorithms to solve specific business problems.
• Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models into production environments.
• Train and fine-tune machine learning models using appropriate algorithms and techniques. Evaluate model performance using techniques such as cross-validation, hyperparameter optimization, and ensemble methods.
• Deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.
• Monitor model performance and address any issues or anomalies that arise. Continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.
• Perform exploratory data analysis, generate insights, and present findings to stakeholders, using statistical methods and visualization techniques.

Requirements:

• Education qualification in Computer Science, Data Science, Machine Learning or relevant field
• At least 3 - 4 years' work experience in designing, developing, and deploying machine learning models in real-world applications
• Knowledge of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn)

Interested candidates may whatsapp your resume to 6421 4965. Only shortlisted applicants will be contacted.

Cassie Chan | R2197426

Talentsis Pte Ltd | EA No: 20C0312

Responsibilities:

• Act as the primary point of contact for business users, including Portfolio Managers and Traders.

• Provide end-to-end support for core business processes, including portfolio construction, order management, trade execution, confirmation, and settlement.

• Collaborate with stakeholders and development teams to gather, document, and translate business needs into technology requirements.

• Manage incident resolution, major incident handling, problem management, and change management activities.

• Support critical ESG governance initiatives through technology solutions.

• Maintain and update project tasks in JIRA, ensuring smooth workflow tracking.

• Develop advanced SQL queries and stored procedures, with exposure to Snowflake preferred.

• Perform data analysis and manipulation using Excel and/or VBA.

• Work with UNIX/Linux environments and create scripts using Perl, Shell, Python, or PowerShell.

• Understand the trade lifecycle for Equity, Derivatives, FX, and electronic trading (including FIX protocol and accounting).

• Configure and manage batch job scheduling tools like Autosys.

Skills and Experience:

• Experience with complex system integrations across multiple upstream/downstream applications.

• Familiarity with reporting tools (Crystal Reports, Tableau, Power Platform) and analytics tools (Dataiku).

• Exposure to monitoring tools like AppDynamics and Splunk, with experience setting up alerts.

• Understanding of Agile methodology and best practices.

Ikas International (Asia) Pte Ltd

“Sanderson-iKas” is the brand name for iKas International (Asia) Pte Ltd

EA Licence No: 16S8086 | EA Registration No. R1988468

We regret to inform you that only shortlisted candidates will be notified /contacted.

Enhance Generative AI Accuracy:
1) Build and curate a comprehensive knowledge base to serve as a foundation for the Generative AI model.
2) Evaluate and analyse AI-generated responses to identify areas of improvement and optimize accuracy.

Response Analysis and Evaluation:
1) Identify, analyse, and assess the quality of AI-generated responses, ensuring they align with company standards and customer expectations.
2) Collaborate with the AI Development team to implement necessary adjustments to improve response quality.
Safety Scenario Establishment:
1) Develop and implement safety scenarios to mitigate the risk of inappropriate or sensitive AI responses, maintaining ethical and responsible AI interactions.

Data Set Maintenance:
1) Deconflict and curate data sets across various platforms to ensure a diverse and clean input for the Generative AI model.
2) Regularly update and refine data sets to reflect evolving language trends and user preferences.

Knowledge Base Updates:
1) Perform daily updates to the knowledge base, integrating the latest product information, industry updates, and relevant content.
2) Ensure accuracy and relevance of information provided by collaborating with product owners and subject matter experts.

Demand Analysis:
1) Engage in call listening activities to identify emerging demand topics and customer preferences.
2) Provide insights and recommendations to the AI Project Manager for enhancing AI-generated responses in response to these demands.

Collaboration with Product Owners:
1) Establish effective communication channels with product owners to continuously enhance the knowledge base and refine AI responses.
2) Actively gather feedback and insights from product owners to improve the accuracy and relevance of AI interactions.

Product Knowledge & Call Handling Trained
1) To be trained in Banking Related product knowledge and undergo training to learn how a customer service officer handles a customer over a call.
2) Standby support to be activated on adhoc basis by Workforce Management team to service calls/emails or any other functions deemed to be necessary to maintain Customer Centre’s service levels.

These are the experience and skillsets that we are generally looking for:

• Meticulous and show great attention to detail. (Important)
• Possess an analytical mindset to identify key performance metrics and evaluate the success of Gen AI initiatives. Important)
• Basic understanding of prompt engineering, data pre-processing, and data ingestion techniques in the context of Generative AI systems. (Good to have but not essential)
• Proficient in MS Office (Word, Excel, Project and PowerPoint)

Interested candidates kindly submit your updated CV in a Word Format to: [email protected] shortlisted candidates will be notify. Thank you.

• Develop and implement methods, processes, and systems to consolidate and analyze diverse, unstructured data sources, delivering actionable insights for management.
• Create and code software programs, algorithms, and automated processes to clean, integrate, and evaluate large datasets from multiple sources.
• Collaborate with business experts to enrich data and uncover meaningful insights to build practical solutions.
• Automate repetitive data tasks to improve efficiency and reduce manual intervention.
• Design data visualizations to clearly present findings and recommendations to stakeholders.
• Stay updated on the latest trends and best practices in data science, machine learning, and artificial intelligence.
• Support Global IFF Business Control with various tasks and project requirements.
• Assist with administrative duties and ad-hoc tasks as assigned by the Head of Department.

Requirements:

• Diploma in Data Science, Statistics, Computer Science, Mathematics, or a related field.
• 1–2 years of experience in a data science role; experience in a similar industry is a plus.
• Proficiency in programming languages such as Python, R, SQL, and PowerShell, with experience in data manipulation and analysis libraries.
• Familiarity with data visualization tools like Power BI and the ability to effectively communicate complex analyses to non-technical stakeholders.
• Strong problem-solving and analytical skills, with the ability to translate business needs into data-driven solutions.

We regret only shortlisted candidates will be contacted. All applications will be handled confidentially. By submitting your application, you agree to the collection, use, retention, and disclosure of your personal information to prospective employers.

Wecruit Pte Ltd

EA License No: 20C0270

Job Descriptions

• Supervise electrical installation works at construction sites, ensuring adherence to project specifications and timelines.
• Coordinate daily site activities and monitor progress to ensure quality and safety standards are met.
• Provide guidance and technical support to electricians and other site personnel.
• Review electrical plans and drawings to ensure compliance with safety standards and local regulations.
• Liaise with clients, contractors, and project managers to ensure smooth operations and resolve any issues.
• Conduct site inspections and ensure proper documentation of work performed.
• Ensure all electrical systems and equipment are installed in line with best practices and regulatory guidelines.
• Manage subcontractors and suppliers and project procurement.
• Project meetings and reviews to ensure targets are met.
• Any ad-hoc duties assigned by department head.

Job Requirements

• Diploma or Degree in Electrical Engineering or a related field.
• At least 6 years of relevant experience in electrical site supervision.
• Strong knowledge of electrical systems, wiring, and construction safety standards.
• Ability to read and interpret electrical drawings and specifications.
• Excellent communication, leadership, and problem-solving skills.
• Experience with project coordination and site management is preferred.

InfoCepts is a global leader of end-to-end data & analytics solutions with nearly 20 years of experience, also named as Gartner’s 2020, 2021 and 2022 customers’ choice for Data & Analytics providers. We continue to grow rapidly year over year, now employing more than 1,200 people in offices across the globe. As we have grown, we have stayed true to our mission—to always help our customers stay modern that help them make smart, data-driven decisions. Since 2004, we have deployed hundreds of high performance analytics applications over web and mobile platforms, built several advanced analytics models, processed petabytes of data using Big Data technologies and delivered several high impact business solutions. Driven by our vision of delivering great customer experiences, we are looking for professionals who are passionate about making the world a better place by leveraging the power of data.

We are hiring aspiring / proven data engineers to join us.

Location: Central

Roles and Responsibilities:

• Design and develop scalable data pipelines using Databricks, ensuring data integrity and availability.
• Collaborate with stakeholders to understand their data needs and provide solutions.
• Assist users in utilizing Databricks effectively, providing training and support to enhance their data processing and analysis capabilities.
• Monitor and optimize data workflows and queries for performance improvements.
• Implement best practices for data governance, security, and compliance within Databricks environments.
• Document data architecture, pipelines, and processes for knowledge sharing and future reference.
• Troubleshoot and resolve issues related to data processing and Databricks functionalities.

Skills Required:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Proven experience as a Data Engineer with a strong focus on Databricks.
• Proficiency in Python/Pyspark and data modeling techniques.
• Experience with ETL tools and data integration processes.
• Excellent communication skills with the ability to explain complex concepts to non-technical users.
• Experience in providing user support and training is highly desirable.

Responsibilities

• 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.

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.

Interested applicants, please Email , and look for [email protected]

John (Joax) Wong

Recruit Express Pte Ltd

EA License No. 99C4599

EA Personnel Registration Number: R23117179

We regret that only shortlisted candidates will be contacted.

Job Highlights

Salary: $2800 per month

Contract Duration: 11 months

Working Location: Nearest to Labrador Park MRT

Working Hours: Monday to Friday, normal office hours

Job Descriptions

• Design, develop, update and maintain the Data Centre (DC) database and dashboard using
  Tableau.
• Collate operational data from multiple stakeholders and update the DC database.
• Analyse the data/database to uncover trends, patterns, and insights, and generate/update
  dashboards and reports to aid in operational and policy decisions

Job Requirements

• Only Singaporean need to apply.
• Diploma in Computer Science, Data Science, Mathematics, Statistics, Business Analytics or equivalent field.
• Familiar in visualizing data using Tableau.

Interested candidate please click ‘Apply Now’. We regret to inform that only shortlisted candidates will be contacted.

Yee Kar Seng

Outsourcing Team

BGC Group Pte. Ltd.

EA Registration No.: R22107286

EA License Number: 05C3053

About the Job

Our mission to positively impact people's lives every day in every home around the world allows our employees to be thinkers and tinkerers, designers and doers, creators and number crunchers, makers of things they love.

Shark Ninja is expanding our APAC business and scaling it rapidly. Our two brands, Shark, and Ninja, have enjoyed unprecedented growth in the past 5 years, driven mainly by the very strong innovation pipeline on both brands. Given this success in our existing markets, Shark Ninja has embarked on a bold plan for growing APAC business, in which APAC plays a critical role.

As we continue to grow, we are looking for a Business Data Analyst to join our team. This role will be based at our APAC HQ in Singapore.

Position Overview

The Business Data Analyst reporting to VP Finance, APAC will play a critical role in driving breakthrough results for Shark Ninja’s APAC operations by developing and operationalizing data-driven solutions. This role will focus on creating and maintaining business dashboards, market share reporting, investment analysis, NPD tracking, and setting the stage for a comprehensive APAC Data Warehouse and Reporting solution.

Here are some of the EXCITING things you will get to do:

Holistic Business Dashboard Development:

• Consolidate and define key business KPIs across financial, commercial, and operational metrics.
• Design workflows to streamline the dashboard creation process, integrating with current systems and preparing for future data warehouse implementation.
• Provide high-level analysis and actionable insights to drive APAC business performance.

Market Share Reporting & Analysis:

• Develop a standardized dashboard for market share reporting across local markets.
• Automate market share reports and collaborate with the sales and CI teams to provide insights on SharkNinja’s portfolio and key competitors.
• Operationalize monthly market share highlights for timely and impactful reporting.

Investment Analytics:

• Collaborate with cross-functional teams to design frameworks for assessing ROI for various investments
• Provide insights on investment effectiveness and assess data readiness across regions for further application.

NPD (New Product Development) Launch Readiness Tracking:

• Develop systems to efficiently track NPD readiness, highlighting the potential for market success.
• Operationalize post-launch tracking to assess progress toward key targets and enable timely course correction.

APAC Data Warehouse and Reporting Solution:

• Work closely with stakeholders to map out the current IT data landscape, understanding data sources, granularity, and update frequency.
• Partner with Data Cloud & Architect Manager in the setup of a future state data warehouse and reporting solution, to enable more efficient business analytics.
• Rebuild and transition reports from existing platforms (Power BI, Tableau) to the finalized reporting tool.

Essential requirements

• Bachelor’s degree in Data Science, Business Analytics, Information Technology, or a related field.
• Strong proficiency in data analysis tools (e.g., SQL, Power BI, Tableau, Excel) and experience in developing dashboards and reporting systems.
• Excellent problem-solving and analytical skills, with a focus on actionable insights.
• Experience collaborating with cross-functional teams (sales, marketing, finance).
• Familiarity with data warehousing principles and reporting tool integration.
• Strong communication skills, with the ability to present complex data insights to stakeholders at various levels.

We are looking for experienced static and mobile laser scanning professionals (TLS and MLS). Our new colleagues will perform LiDAR scanning of urban trees in Singapore and APAC, completing pre- and post-processing, geodetic and GIS related tasks.

Your skills and knowledge will ensure the precise preparations, the planning of survey projects, and the provision of data acquisition and processing.

Who we are

As the global pioneer in nature-based smart-city solutions, we help cities around the world to become more sustainable and more resilient against climate change. We are leading in applying smart city technologies such as the latest remote sensing and machine learning to green urban assets. With our cloud-based platform cities improve the well-being of their citizens through a greener, healthier, safer and more resilient urban environment while reducing operational costs. We currently operate offices in Budapest, Berlin, Singapore, San Francisco and Paris.

Your contribution will be

• Planning each area scanning as individual project.
• Scanning trees and urban objects (parks and streets).
• Performing basic maintenance and installation tasks of the equipment.
• Ensuring laser scanners and accessories are well calibrated according to specifications and requirements and kept in proper working order.
• Post-processing of scanned data with Riegl Software (training provided).
• Ensuring smooth logistics of the survey equipment.
• Maintaining assertive communication with authorities during the survey projects with the support of our HQ.

We need you to

• Have a minimum of 3 years of relevant working experience – field surveying.
• Be well versed in surveying technology and in using laser scanning equipment.
• Competence in pre- and post-processing, geodetic and GIS related tasks.
• Possess good technical sense and interest in state-of-the-art technologies.
• Hold a valid driving license and have a safety-conscious, responsible driving style.
• Have a good command of the English language.

We give preference to

• Degree in surveying or equivalent. Diploma holders in other professional areas with relevant experience will also be considered.
• Proven experience of working with high-value equipment.

We offer

• Opportunity to develop a product with high impact on the digitization and management of urban forests and on climate change adaptation in cities.
• Cutting-edge tools and technologies to work with, e.g., LiDAR remote sensing.
• Possibility to work and learn in an international, open-minded team of passionate (green-)tech experts.

About Filtrona

Filtrona is the only global, independent market leader in the design, testing and manufacturing of specialist filter solutions and related scientific services. With a head office in Singapore, Filtrona has 8 manufacturing facilities across Europe, America, and Asia, together with 2 innovation centres, an accredited laboratory and a Centre of Excellence focused on sustainability. The company has 2,000 employees serving customers across 120 countries.

Our purpose is to support partners to transform and benefit from business growth; we succeed when they succeed. Our mission is to be a responsible, customer-focused innovation leader creating excellence in sustainable solutions for today and tomorrow.

For more information, please visit www.filtrona.com

Role and Responsibilities

We seek a highly skilled and motivated Senior Data Engineer to join our ERP Project Team on a 2-Year Contract basis. This person will report to the BI & Data Lead and will provide technical support for the data migration to the new ERP solution.

• Create a development, test & production environment with suitable support from IT.
• Support Data Migration Lead in source to target mapping.
• Develop the ETL coding required to migrate legacy data to loading templates, that the SI will then load. Will also have to version all code and provide auditable promotion of this from development to test to production within the Technical Data Migration Team Database.
• Creation of staging tables and other data structures within the Technical Data Migration Team Database. This will include separating data provided for different test phases e.g. SIT, UAT, Cutover and Go Live.
• Profiling data.
• Writing Business Data Cleansing Reports and Technical Validation Reports as data progresses through an ETL cycle.
• Supporting business reconciliation with Reports/Queries as data progresses through an ETL Cycle
• Understanding source legacy data
• Manage Junior Data Engineer's work

Key Skills & Qualifications Requirements

• Degree in IT, Computer Science or equivalent
• Relevant certifications such as SAP Certified Application Associate, Informatica Certified Professional, or similar are a plus.
• At least 5 to 10 years of relevant experience in successful data migration strategy and delivery associated with a global ERP implementation.
• Extensive knowledge of data structures and data migration tools.
• Experience with data migration processes.
• Proficiency in ETL tools and technologies such as SAP Data Services, Informatica, Talend, or similar.
• Strong understanding of data extraction, transformation, and loading techniques.
• Experience with database management systems such as Oracle, SQL Server, or SAP HANA.
• Strong SQL skills for querying, manipulating, and transforming data.
• Knowledge of data quality principles and best practices.
• Experience in implementing data quality rules and procedures.
• Strong analytical skills to identify and resolve data issues.
• Ability to troubleshoot and resolve technical problems related to data migration.
• Excellent communication skills to engage with stakeholders at all levels and work collaboratively with cross-functional teams and manage stakeholder expectations.
• Strong organizational skills to manage multiple priorities and deliverables.

What a Data Science Manager does at Visa:

The Data Science Manager will be the strategic orchestrator of our data and analytics ecosystem, translating complex business challenges into impactful data solutions for our clients. This role requires a visionary who can integrate business strategy with technical execution, managing entire lifecycle of data products. You will identify, prioritize, and drive data initiatives to uncover strategic insights, collaborating closely with cross-functional teams to convert raw data into actionable business value. 

Why this is important to Visa

This role will support our client’s business by driving sales growth, optimizing marketing efforts, and improving customer engagement. It offers opportunities for professional growth in data analytics, enhancing your skills with cutting-edge tools. You will collaborate with diverse teams and explore innovative solutions to make data-driven decisions.
 

Our client is actively searching for a Manager/Asst Manager, Data eXchange Unit to join their team!
If you are a dynamic individual seeking a new career opportunity, read further!

The responsibilities of this role are:

• Support and work closely with the Chief Data Officer (CDO) to develop and implement hospital's Data Strategy to enable data exploitation for meaningful and insightful decision making.
• Develop, review and update hospital's data-related policies to ensure alignment with Ministry of Health’s (MOH) and National Healthcare Group’s (NHG) data policies (e.g., MOH’s HealthTech Instruction Manual - Data Management (HIM-DM) and NHG Data Access & Sharing Policy).
• Oversee the management and maintenance of Platform for one-stop request in hospital (PorT) to facilitate data requests by hospital and NHG staff. Put in place protocol that complies with relevant data access, sharing, and security policies.
• Serve as a point-of-contact to liaise with other NHG institutions’ DXOs and external parties for data request as well as to contribute to NHG’s analytics and digitalization effort.
• Develop and implement proper data assets management standard operating procedures and workflows across the Data Life Cycle from data acquisition, fusion, access and distribution, to disposal (e.g. tracking and maintaining registries of data access, monitoring of data handling and disposal processes).
• Collaborate with relevant departments/units to build staff literacy, competency, capabilities, and knowledge in safe, efficient, and effective data exploitation and management on various platforms such as Oracle OBIEE/OAS, SharePoint, NGEMR, etc.
• Oversee the secretariat support for departmental and hospital working committees to support hospital’s digital transformation agenda and build communities of practice to share knowledge and best practices (e.g. Data Management Working Committee (DMWC) and Artificial Intelligence and Data Analytics (AiDA) Digital Innovation Technologies (DIT) committee).
• Lead change management, engagements, and communications with different levels of stakeholders, on issues pertaining to data management, data sharing, and data exploitation.

The ideal candidate will need to have the following qualities and experience:

• Degree in Computer Science, Computer Engineering, Computing in Information Systems, Information Management or Management Information Systems or related fields
• At least 5 years of relevant working experience in business data management and governance with experience in developing data strategy as a strong advantage
• Experience in handling compliance reviews or overseeing data management / IT systems is preferred
• Experience in data analytics is an added advantage
• Possess strong data and technological knowledge, covering recent topics such as data governance, data policies and data domains.
• Familiarity with public healthcare operations with working knowledge of data management, handling, and governance, and the regulatory requirements pertaining to the usage and sharing of data will be an added advantage

An exciting career awaits the right candidate! Click "Quick Apply" to register your interest now.

All applicants' CV will be treated with the strictest confidentiality. We regret to inform that only shortlisted candidates will be contacted.

JD:
Big Data Developer
 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 .

Job Scope:

a) To support the design of data collection channels

b) To support data integration between data collection channels and dashboard

c) To support the identification of opportunities for process automation and improvements

Requirements:

a) Business Intelligence

• Proficient in Microsoft Excel, e.g., creation of databases and usage of calculations/formulas

• Familiar with the applications in Tableau

• Experience with data analysis and reporting tools

• Ability to translate raw data into actionable insights

b) Process Innovation

• Creative problem-solving skills to streamline workflows

• Knowledge of project management tools and techniques

c) Soft Skills

• Strong analytical thinking and problem-solving abilities

• Good communication skills for liaising with team members

Location: Buona Vista

Salary: $13/hour

Working Arrangement:

Contract Period: 6 months

EA License No: 96C4864

Reg. No.: R24121728 EUNICE WOO JING QI

Are you ready to make a significant impact in data operations? Join our team at JPMorgan Chase as a Pricing Data Analyst, where you'll play a crucial role in managing data quality and supporting our Securities Services and Markets businesses. This is your opportunity to work with a dynamic team, drive strategic initiatives, and contribute to a robust control framework. Elevate your career with us and be part of a team that values innovation and excellence.

As a Pricing Data Analyst within our Reference Data Operations team, you will provide operational support and data management for our Securities Services, Markets, and Asset and Wealth Management businesses. You will manage data quality and exceptions, working closely with professionals across Instrument and Pricing. You will ensure a robust control framework and effective global operating model are in place to service the APAC businesses. This role offers you the chance to provide strategic initiatives and improve reference data operations.

Asset Reference Data Services (ARDS) was created with the mission to help improve the quality, integrity, and reliability of the firm's critical data covering the Instrument and Pricing domains and sits within Securities Services. The organization's objectives are to deliver business impact through fit-for-purpose data, improve data capabilities across multiple lines of businesses (LOBs), implement data controls, and deliver reference data. ARDS establishes expectations that drive consistent data governance practices, develops technologies and processes to support data governance capabilities, partners with LOBs to embed data governance best practices and capabilities, and ensures sustainability by refining, measuring, and improving the ability to manage data.

Job responsibilities:

• Be responsible for following the global operating model is effectively servicing the instrument and pricing requirements for the APAC businesses strongly focused on Securities Services and Markets business at JPMorgan Chase

• Work with the team responsible for the creation/maintenance and management of exceptions of instrument reference data on our core platforms

• Provide subject matter expertise support to downstream teams and clients

• Ensure proper controls are in place to reduce financial risks, implement procedures to enforce controls and ensure controls are adhered to

• Resolve client queries promptly and professionally

• Contribute to ongoing developments of the instrument control process

• Provide coverage for the APAC region, staggered shift work and working on public holidays is required

• Participate in ad-hoc project work when required

Required qualifications, capabilities, and skills:

• At least a Bachelor’s degree in Finance, Science, Technology or equivalent disciplines

• At least 1 year work experience in Financial Services is required

• Good understanding of broad financial instruments and products required

• Self-motivated and proactive with the proven ability to work accurately and under pressure to meet deadlines

• Good analytical/problem solving skills and attention to detail

• Demonstrate ability to effectively communicate within a team environment and interact across departments

• Demonstrate customer focus and follow-up skills

• Ability to work independently and multi-task in a fast paced environment

Preferred qualifications, capabilities, and skills:

• Good market data vendor knowledge/experience, i.e. Bloomberg, Refinitiv is preferred

• Knowledge of industry activities, corporate actions, index tracking and capital markets is preferred

• Ability to analyze, mine and query data to formulate solutions and efficiencies is preferred

• Good understanding of databases, data models and data structures is preferred

• Working knowledge of dashboard tools (Power BI, Tableau, Qlik) preferred

• Working knowledge of data languages (SQL, Python, R) and data management platforms (Denodo, Talend, Alteryx) preferred

• Working knowledge of data tools (OwlDQ, UiPath, MS PowerApps, MS Power Automate) preferred

To apply for this position, please use the following URL:

https://ars2.equest.com/?response_id=9130b873b4edfb7876ea6d23e8bf5263

Job Summary

We are looking for a Data Analyst to assist the analytics delivery team and support the various Business Units within Data Management Office for a reputed bank.

Mandatory Skill-set

• Minimum Master/bachelor’s degree in Analytics, Computing, or a related discipline;
• 3 years of experience in analytics or data engineering field preferably in banks or the financial industry;
• Good knowledge of data analytics concepts & techniques, including data architecture, data transformation, data modeling, and visualization;
• Experience in database management namely MySQL, Oracle or others;
• Possess good analytical skills and problem-solving skills;
• Able to conduct issue investigation and root cause analysis;
• Strong communication skills and team player; able to work with business stakeholders directly on requirements gathering or issues investigation;
• Proficient in MS Excel, MS Word, and MS PowerPoint.

Desired Skill-set

• Big Data platforms such as Hadoop, Hive, Impala, Oozie, etc;
• Analytics tools such as Qliksense, Power BI, etc;
• Banking products and processes.

Responsibilities

• Work with the respective business functions to understand and analyze their analytics needs;
• Conduct necessary data sourcing and profiling to understand relevant data sources and structure;
• Propose and design the appropriate end-to-end analytics solution including data modeling, data transformation, and visualization;
• Assist and coordinate the relevant project activities including project planning, workgroup meetings, user training, and support;
• Prepare the relevant project documentation including functional specifications, testing cases, project demos, and user training materials;
• Provide necessary support to businesses on data issues investigation and ad-hoc data requests.

Should you be interested in this career opportunity, please send in your updated resume to [email protected] at the earliest.

When you apply, you voluntarily consent to the disclosure, collection and use of your personal data for employment/recruitment and related purposes in accordance with the SCIENTE Group Privacy Policy, a copy of which is published at SCIENTE’s website (https://www.sciente.com/privacy-policy).

Confidentiality is assured, and only shortlisted candidates will be notified for interviews.

EA Licence No. 07C5639

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

Creation is the core of TikTok's purpose. Our products are built to help imaginations thrive. This is doubly true of the teams that make our innovations possible. Together, we inspire creativity and enrich life - a mission we aim towards achieving every day. To us, every challenge, no matter how ambiguous, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. At TikTok, we create together and grow together. That's how we drive impact-for ourselves, our company, and the users we serve. Join us.

Team Introduction

TikTok Business Integrity team is at the core to power monetization drive for TikTok on a global scale. The team builds the foundation to safeguard our advisement platform and use cutting-edge technologies to bring the most value to our users as well as business partners. In Singapore, we commit to uphold the integrity of the platform by taking advantage of human insights to know more about advertisers and use signals to optimize the tradeoff between risk and advertiser experience.

Responsibilities

- Work with large, complex data sets. Solve difficult, non-routine integrity analysis problems, applying advanced analytical methods as needed. Conduct analysis that includes data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations.

- Build and prototype analysis pipelines iteratively to provide insights at scale.

- Develop comprehensive knowledge of Tiktok data structures and metrics, advocating for changes where needed for product development.

- Interact cross-functionally, making business recommendations (e.g., cost-benefit, forecasting, experiment analysis) with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information.

- Research and develop analysis, forecasting, and optimization methods to improve the quality of TikTok ads products.

Minimum Qualifications

- Master's degree or PhD in a quantitative discipline (e.g., Statistics, Operations Research, Economics, Computer Science, Mathematics, Physics) or equivalent practical experience.

- 5+ years of relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, sampling methods.

- Experience with statistical software (e.g. R, Python, MATLAB) and database languages (e.g. SQL)

- Demonstrated leadership and self-direction. Willingness to both teach others and learn new techniques.

- Demonstrated skills in selecting the right statistical tools given a data analysis problem. Effective written and verbal communication skills.

Preferred Qualification

- Maintain curiosity about new things, and have a strong sense of responsibility, integrity and reliability.

TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.

Responsibilities:

• Collaborate with data scientists, coders, programmers and other stakeholders
• Creating and managing the AI development process and general infrastructure of a product
• Doing statistical analysis and interpreting findings
• Automating critical tasks and procedures for a data science team
• Creating data transformation infrastructure
• Developing AI models communicating the utility of the AI models they generate to a diverse range of employees inside the organisation, including product managers and management executives
• Exposing machine learning models via APIs with which other apps may interact
• Work on API and integrate systems.

Requirements:

• Master / Bachelor’s degree in computer science, computer engineering, or relevant field.
• Minimum of 4+ years’ experience in a similar role.
• Strong knowledge of Datawarehouse / database / Cloud systems and data mining would be preferred.
• Excellent organizational and analytical abilities.
• Outstanding problem solver.

Thanks,

Rajkumar

EA Licence Number: 23C2060 Registration ID is R1983662