Job Responsible

1) Design, build and maintain data pipelines and architecture in a centralized data lake environment.

2) Enhancements, new development, defect resolution and production support of Big data ETL development using AWS native services.

3) Design and optimize data models on AWS Cloud using AWS data stores such as Redshift, RDS, S3, Athena

Job requirement:

A bachelor degree in a relevant field.

Hands-on experience with data lakes, ETL processes, data modeling, and cloud databases.
• Proficiency in programming languages like Python, Pyspark, R, SQL, or VBA.
• Experience with cloud platforms (AWS CLI, SDK API , Salesforce Service Cloud).
• Experience with automation tools (UiPath, Microsoft Power Automate, PowerApps).

Good communication skills.

We are seeking a skilled and motivated Data Engineer with expertise in Hadoop, Spark, OpenShift Container Platform (OCP), and DevOps practices. As a Data Engineer, you will be responsible for designing, developing, and maintaining efficient data pipelines, processing large-scale datasets. Your expertise in Hadoop, Spark, OCP, and DevOps will be crucial in ensuring the availability, scalability, and reliability of our ML Solutions.

Responsibilities:

• Implement data transformation, aggregation, and enrichment processes to support various data analytics and machine learning initiatives
• Collaborate with cross-functional teams to understand data requirements and translate them into effective data engineering solutions
• Ensure data quality and integrity throughout the data processing lifecycle
• Design and deploy data engineering solutions on OpenShift Container Platform (OCP) using containerization and orchestration techniques
• Optimize data engineering workflows for containerized deployment and efficient resource utilization
• Collaborate with DevOps teams to streamline deployment processes, implement CI/CD pipelines, and ensure platform stability
• Implement data governance practices, data lineage, and metadata management to ensure data accuracy, traceability, and compliance
• Monitor and optimize data pipeline performance, troubleshoot issues, and implement necessary enhancements
• Implement monitoring and logging mechanisms to ensure the health, availability, and performance of the data infrastructure
• Document data engineering processes, workflows, and infrastructure configurations for knowledge sharing and reference
• Stay updated with emerging technologies, industry trends, and best practices in data engineering and DevOps
• Provide technical leadership, mentorship, and guidance to junior team members to foster a culture of continuous learning and innovation to the continuous improvement of the analytics capabilities within the bank

• Bachelor's degree in Computer Science, Information Technology, or a related field
• Proven 2-5 Years of experience as a Data Engineer, working with Hadoop, Spark, and data processing technologies in large-scale environments
• trong expertise in designing and developing data infrastructure using Hadoop, Spark, and related tools (HDFS, Hive, Pig, etc)
• Experience with containerization platforms such as OpenShift Container Platform (OCP) and container orchestration using Kubernetes
• Proficiency in programming languages commonly used in data engineering, such as Spark, Python, Scala, or Java
• Knowledge of DevOps practices, CI/CD pipelines, and infrastructure automation tools (e.g., Docker, Jenkins, Ansible, BitBucket)
• Experience with Graphana, Prometheus, Splunk will be an added benefit
• trong problem-solving and troubleshooting skills with a proactive approach to resolving technical challenges
• Excellent collaboration and communication skills to work effectively with cross-functional teams
• Ability to manage multiple priorities, meet deadlines, and deliver high-quality results in a fast-paced environment
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus

The Role

The Data Scientist will implement cohesive data integration and analytics solutions involving both structured and unstructured data. Projects will include development of predictive, forecasting or operation research (optimisation) models as well as text mining and network analytics solutions.

Job Responsibilities

· Primarily responsible for applying the skills and knowledge gained about data analysis, analytics, data science to ensure the successful delivery of client engagements and initiatives within our Data and Analytics practice.

· Develop and manage the end-to-end lifecycle of analytics projects from requirement, data scoping, modelling to production (model deployment and monitoring).

· Attend and assist in facilitating project meetings / workshops with client working team members.

· Propose, implement, and validate algorithms, ensuring functional and non-functional requirements such as transparency, fairness, scalability, security, integration complexity and operational costs.

· Participate in software development processes and best practices, documentation of requirements and software codes during the software development lifecycle.

· Produce high quality deliverables/document, with-ready-to-use content.

· Drive a module or task within a project on their own with minimal supervision.

· Prepare user requirements and any data development work including documentation.

· Proactively perform research on the business, industry and functional domain of the client to stay up to date.

· Assist in developing project deliverables and assets such as templates, processes, reports, and presentation decks for the client based on the work assigned.

Job Requirements

· Bachelor’s degree in computer science, Mathematics, Statistics, Business Analytics or equivalent.

· Data Scientist – at least 2 years’ experience in data analytics fields/ML.

· Experience in data processing, feature selection, hyper-parameter optimization, model validation and visualization.

· Experience in data analysis / numerical computing / classical ML tools like Pandas, NumPy/SciPy, Scikit-Learn, or XGBoost.

· Able to develop SQL queries and working with data models.

· Experience in production software engineering routines such as test-driven development, code versioning with Git, conducting code reviews, and CI/CD.

· Familiar with object-oriented programming concepts and their application to data science pipelines.

· Deep and eager interest in emerging technologies and the ability to leverage the technologies into solutions to meet our strategic and operational client needs.

· A self-starter with an analytical approach to problem solving.

· A client-centric, outcome driven and quality focused team player.

· Detailed oriented and is able to work in fast paced and agile environment.

· Excellent communication skills; both in written and spoken English.

Office Location : Central

Hybrid working arrangement

**We regret that only shortlisted candidates will be notified. Personal data collected will be used for recruitment purposes**

Job Description:

• Data Analysis and Interpretation: Perform in-depth analysis of structured and unstructured data sets to identify trends, patterns, and valuable insights that drive business decisions and strategies.
• Data Visualization and Reporting: Develop intuitive and visually appealing dashboards, reports, and presentations to communicate complex data analyses to stakeholders, enabling data-driven decisionmaking at all levels of the organization.
• Data Modelling and Transformation: Design, implement, and maintain data models, ETL pipelines, and data integration processes, ensuring data accuracy, integrity, and accessibility.
• Data Quality Assurance: Implement rigorous data validation and cleansing procedures to ensure the accuracy and reliability of the data used for analysis and reporting.
• Identify Data Needs: Collaborate with stakeholders across various departments to understand their data requirements and deliver insights that align with their business objectives.
• Continuous Improvement: Stay abreast of industry trends and best practices in data analysis and engineering. Suggest and implement process improvements to enhance data quality, efficiency, and overall performance.
• Data Security & Compliance: Implement, maintain, and monitor data security and privacy measures on data platform.
• Cross-functional Supports: Collaborate with other teams to ensure the successful execution of projects and initiatives.
• Operational supports: Maintain and support day to day operational on data platform, including:
• Monitoring data pipelines, databases, and analytical processes to ensure smooth and continuous operation.
• Identify and resolve data-related issues, performance bottleneck, and data quality problems promptly.

Job Requirements:

• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related field.
• At least 5 years’ working experience in data platform, data analytics or relevant projects.
• Proven experience as a Data Analyst, with a track record of translating complex data sets into actionable insights.
• Strong proficiency in data visualization tools (e.g., Tableau, Power BI, or similar) to create compelling data visualizations and reports.
• Solid programming skills in languages such as Python, SQL, SAS, or R for data analysis and data engineering tasks.
• Prior experience as a Data Engineer, with a demonstrated ability to design and implement data models, ETL processes, and data integration solutions.
• Familiarity with cloud-based data platforms (e.g., Azure Data Factory, Azure Purview, Databricks, Snowflake, Kafka, or equivalent) and data storage technologies (e.g., SQL databases, NoSQL databases).
• Having prior experience with Microsoft SQL Server, Microsoft SSIS, or Ali Cloud (Dataphin) is a plus.
• Excellent problem-solving skills and the ability to work with large, complex data sets.
• Strong attention to detail, ensuring data accuracy and reliability in all analyses.
• Effective communication skills to convey complex technical concepts to non-technical stakeholders.
• Proven ability to work independently as well as collaboratively in a fast-paced, team-oriented environment.
• Certified in Tableau Data Analyst, Microsoft Power BI Data Analyst, SnowPro (Snowflake), Databricks or equivalent.

Please send your detailed resume in MS Word format to : [email protected]

Stating your notice period / earliest available commencement date, Current & expected salaries.

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

Are you driven by the desire to see your hard work directly impact others? Join the DNDTS team, where we excel in crafting success stories through dynamic projects. Each endeavor is a unique opportunity to contribute to our proven track record of achievements.

Experience the satisfaction of seeing your efforts transform into positive changes in people's lives. In our thriving SME environment, you won't be limited to a single role. You'll have the chance to engage in cross-departmental collaboration, fostering a rich learning experience.

As our team consistently grows, so do opportunities for career advancement. We embrace the startup culture by having a casual working attire and a flat hierachy across deparments. Your journey with us goes beyond a job—it's a chance to make a lasting impact while expanding your skill set. Join DNDTS and become a key player in our success story.

About the Company

Our company specializes in electronic products. We believe in the power of data to guide and refine our business strategies, including marketing, new business development, and overall operations. We are looking for a data analyst to help us unlock the potential of data and optimize our business for continued growth and success.

Roles & Responsibilities

As a Data Analyst, you will be responsible for gathering, analyzing, and leveraging data to inform decision-making and enhance our supply chain, sales channels, and overall business processes. You will collaborate with various departments to identify trends, improve efficiency, and maximize profitability.

Key Responsibilities

• Collect and analyze market data using our proprietary tool to uncover insights into consumer preferences, competitor strategies, industry trends, and potential opportunities for growth.

• Utilize our data analytics and visualization tools to examine data, communicate findings about key business aspects such as sales, revenue, costs, and production.

• Perform process analysis to pinpoint inefficiencies or bottlenecks and implement business process improvements for maximum profit.

• Conduct cost-benefit analyses to determine the optimal allocation of resources, investments in equipment, staffing decisions, or procurement strategies.

Qualifications / Requirements

• Bachelor's degree in Computer Science, Business Analytics, or a related field.

• Proficiency in common data analysis programming languages, libraries, and tools (e.g., Python, R, SQL, Pandas, NumPy).

• Solid data analysis and visualization skills, with experience in tools such as Tableau, Power BI, or similar platforms.

• Excellent communication skills, with proficiency in English.

• Ability to work independently and collaboratively with cross-functional teams.

• Strong problem-solving skills and a results-oriented mindset.

Benefits

• Flexible working hours

• Yearly Bonus

• Medical Insurance Coverage

• Staff Discounts

• Corporate Discounts at participating F&B and Retail Outlets

• Fast Career Advancement Opportunities

• Multi-Industry Exposure

• Working Location: East - Airline House - Next to Singapore Airlines HQ

Please ensure you meet the minimum qualifications before applying. We regret to inform that only shortlisted candidates will be notified. If you are a data analyst with a passion for using data to optimize operations and drive growth within the electronics industry, apply now to join our innovative company and embark on a rewarding career journey.

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

Perform Data Analysis/ Build/ Test and release activites report

- work close with others stakeholder ( IT, Data Management and Governance, Data Scientis and Business units) to produce accurate data products.

Skills Need :

- Min 3 years experience in Business Intelligence/ Data Analytics.

- Must have strong technical and analytics Skills

- Min 4 yrs experience in Tableau/ Power BI/ Qlink Sense/ MSBI

- Min 2 years SQL Experience

- Experience in cloud Data management - Azure / AWS/ Government Commercial Cloud.

The Data Engineer plays a crucial role in the creation and maintenance of our advanced data analytics vital to the hospital's data-driven decision-making processes. The role focuses on the acquisition, storage, retrieval, and optimization of data from various sources to support clinical, operational, and research initiatives. Role also supports the work of Group Chief Data Officer (GCDO) for Data Analytics.

Data Sourcing and Collection:
• Identifying and understanding source systems.

• Gathering requirements on frequency, volume, and types of data.
• Ensuring data privacy and compliance measures are in place.

Data Ingestion using Informatica IDMC and/or Spark using Python:
• Designing, implementing, and optimizing data ingestion pipelines. • Ensuring reliability and fault tolerance of ingestion pipelines.
• Handling data transformations, if necessary, during ingestion.
• Collaborate and manage vendors if required to for the data ingestion

Data Lake Management:
• Proper structuring of the data in the DataBricks Lakehouse to ensure it is usable and performant.

• Setting up data partitioning, indexing, and archival strategies.
• Monitoring data growth and storage consumption.

Data Quality and Validation:
• Implementing data quality checks and validation rules during ingestion. • Ensuring data consistency, accuracy, and integrity.
• Setting up alerts for any data anomalies or issues.

Integration with DataBricks Lakehouse:
• Making sure the ingested data is accessible, query-able, and optimized for performance in DataBricks.

• Collaborating with data scientists and analysts to ensure the data meets their requirements.

Performance Tuning and Optimization:

• Monitoring ingestion pipeline performance and making and coordinate necessary adjustments.
• Ensuring data loads meet SLAs and optimizing as needed

Security and Compliance:

• Setting up appropriate access controls and permissions. • Ensuring data encryption at rest and in transit.
• Regularly auditing and reviewing data access patterns.

Data Extraction Requests:
- Assist with data extraction requests

Documentation and Knowledge Transfer:
• Creating thorough documentation on data ingestion pipelines, schedules, transformations, etc.

• Conducting regular knowledge sharing sessions with other team members.
Collaboration:
• Working closely with other data engineers, data scientists, business analysts, and stakeholders.
• Communicating any changes, downtimes, or issues proactively.

We are currently looking for innovative and organized individuals with the ability to work through large volumes of operational sales activities including implementation, optimization and reporting. Data analysts will support the needs of the Global Partnership sales team and publishers around the world through our email systems and by interacting in a cross-functional work environment.

Core Tasks:

• Perform large scale data analysis to identify trends and efficiency opportunities
• Support implementation and optimization for Programmatic monetization and Platform solutions.
• Support GP sales users through our email customer service tools.
• Troubleshoot account issues where required and provide account administration support.
• Contribute to automation efforts and offer possible solutions to increase operational efficiencies.
• Perform other administrative and operational role-related tasks such as: creating reports, presentations, communicating with stakeholders.

Mandatory Skills :

• At least 3 years of work experience with Account Management, Ad Operations or Project Management (experience with AdX, AdSense, AdMob, and DFP a plus).
• Problem-solving, analytical skills, comfortable handling and interpreting data.
• Ability to work through large volumes of support requests from our internal Sales customers within specified time frames.
• Broad understanding of online advertising solutions (i.e. ad serving, monetization) and of key platforms and trends (i.e. desktop, mobile, video).
• Advanced knowledge of Microsoft Office Suite: Excel, Word, PowerPoint & basic knowledge of SQL.
• Strong professional etiquette, organizational skills and attention to detail.
• Extremely organized, responsible, and having the proven ability to work well independently and with a team. - Quick learner, strong collaboration skills.

• Design, develop, test, and implement Tableau dashboards and visualizations
• Supporting Business dashboards, projects, and ad-hoc requests
• Manage portfolio of existing and future Tableau dashboards and deliverables (data preparation, security design, access management, data visualizations design, testing, optimization and automation, enhancement roadmap, portfolio catalog, development prioritization, user adoption and training)
• Lead the implementation of enhanced dashboard access and data sharing security framework for Business dashboards requirements
• Deliver meaningful insights, trends, and analysis across all Business areas using a variety of internal and external data sources
• Participate in gathering requirements and consulting with customers to understand business problems and find the best way to visualize outcomes
• Participate in cross-functional projects
• Translate analysis outcomes into compelling data visualizations that are intuitive and prompt insights and actions
• Use data to tell stories by creating visually appealing reports, Tableau dashboards, and presentations for our internal customers

Job requirement

• Bachelor Degree in Computer Science or Information technology
• Basic knowledge of products, services and channels in fin tech industry
• Strong background in database concept.
• Expert in Data Visualization tools (e.g. Tableau, QlikView, Power BI etc.)

Interested candidate please click "APPLY" to begin your job search journey and submit your CV directly through the official PERSOLKELLY job application platform -

https://sg.go.persolkelly.com/job/details/10579

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

PERSOLKELLY Singapore Pte Ltd • RCB No. 200007268E
EA License No. 01C4394 • EA Registration No. R1105286 (Ngiam Xinyi)

By sending us your personal data and curriculum vitae (CV), you are deemed to consent to PERSOLKELLY Singapore Pte Ltd and its affiliates collecting, using and disclosing my personal data for the purposes set out in the Privacy Policy which is available at www.persolkelly.com.sg I also acknowledge that I have read, understood, and agree to the said Privacy Policy.

We are seeking a seasoned Data Engineer with over 3 years of relevant experience in data engineering, business intelligence, and AI-driven analytics with overall 10 years + of experience. The ideal candidate will have a proven ability to design scalable data pipelines, implement machine learning models, and deliver data-driven solutions that optimize decision-making processes. This role requires close collaboration with cross-functional teams to align business needs with technical capabilities while ensuring data integrity, security, and compliance.

Key Responsibilities

• Design, implement, and maintain ETL workflows for managing large-scale datasets.

• Develop cloud-based data pipelines (AWS, Azure) for scalable and real-time analytics delivery.

• Optimize data models to ensure high performance and reliable reporting.

• Create advanced dashboards and visualizations using tools like Qlik Sense and Tableau.

• Incorporate predictive analytics and AI-driven insights to enhance decision-making.

• Automate trend analysis and forecasting using machine learning techniques.

• Develop and integrate machine learning models for real-time predictive analytics.

• Implement AI-driven algorithms for anomaly detection, trend identification, and operational efficiency.

• Establish and enforce data governance frameworks to maintain data integrity, security, and compliance.

• Perform regular audits to ensure high-quality and consistent data systems.

• Collaborate with cross-functional teams to develop tailored data solutions.

• Mentor and train teams on best practices for business intelligence and analytics tools.

• Engage with stakeholders to understand complex business requirements.

• Deliver customized reports and data-driven insights aligned with client strategies.

Qualifications

• Education:

• Bachelor’s in Computer Applications or related field.

• Technical Expertise:

• knowledge in Qlik Sense, Tableau, and other business intelligence tools.

• Hands-on experience with cloud platforms like AWS and Azure.

• Strong skills in ETL workflows, data pipelines, and data modeling.

• Advanced knowledge of AI and machine learning frameworks, including predictive modeling and analytics.

• Certifications (Preferred):

• Qlik Sense Business Analyst Certification.

• Qlik Sense Data Architect Certification.

• Experience:

• 3+ years in data engineering, business intelligence, and AI-driven analytics.

• Proven success in leading data-driven projects and implementing scalable solutions.

• We are looking for a Data Engineer with intermediate to advance knowledge of SQL, and intermediate Java/ Python and API skills to help us build and evolve our Data Management Platform.
• Your primary focus will be the writing complex SQL queries, fine tuning and development of all server-side backend data processing logic, ensuring high performance and responsiveness to requests from the front-end / API requests on Linux environment.
• Writing complex SQL queries to serve new requirements for ETL, data analysis and debugging.
• Writing SQL functions, procedures as required based on the requirements
• Finetune or optimize queries to support the increasing volume of data.
• Writing reusable and efficient code in SQL, Python/Java.
• Communicate closely with all product owners, Business, and engineering teams to develop approaches for data platform architecture.
• Create microservices or API’s in java/Python that will invoke the created SQL functions or Procedures.

Key Requirements:

• 5 - 10+ years of experience having hands on experience in writing, debugging, and optimizing SQL queries, functions and stored procedures.
• 2+ years of experience with hands on experience in writing, debugging Python / Java on Linux environment.
• Basic knowledge of Computer Science fundamentals - OOPS, Data Structures and Algorithms.
• Basic understand of regular Linux commands and usage.
• Willingness and ability to learn new tools/languages as needed.
• Process oriented with excellent oral and written communication skill with a desire for customer service.
• An excellent team player and communicator who can work effectively with cross functional teams and ability to navigate ambiguity.

Knowledge of ETL’s and basics of Data warehousing, Data Masking

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

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

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

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

Co-Development Business Unit is looking for Data Engineer

Internal Code: A24122

This is a contract role - the engagement is from January 2025 to July 2025

This is a healthcare application:

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

What will you do?

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

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

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

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

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

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

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

What are we looking for?

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

What do we offer in return?

• Fun working environment
• Employee Wellness Program

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

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

Protecting your privacy and the security of your data are longstanding top priorities for Activate Interactive Pte Ltd.

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

Please consult our Privacy Notice () to know more about how we collect, use, and transfer the personal data of our candidates. Here you can find how you can request for access, correction and/or withdrawal of your Personal Data.

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

Proficiency with SQL

Software delivery

Strong understanding of agile methodologies

Strong understanding of CI/CD

Strong understanding of test-driven development

Comfortable using version control and enterprise task management tools.

Data Engineering

Experience in deploying TensorFlow and PyTorch into production

Building data pipelines and architecture

Should have extensive experience with relational and NO-SQL databases

Should have proficiency in handling both structured and unstructured data sources

Strong experience deploying applications to cloud platforms like Azure, AWS

Interest in building efficient batch and streaming data engineering pipelines

Exposure to distributed data processing platforms like Spark

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

Be a part of our start-up where all decisions across BUs are data driven and never by gut.

CPO is a startup company dedicated to leveraging data-driven insights to drive innovation and growth. We are committed to harnessing the power of data to solve complex business challenges and deliver value to our customers. As we continue to expand our data analytics capabilities, we are seeking Data Scientists to join our team and contribute to our success.

As a Data Scientist, you will be at the forefront of our data analytics efforts, working closely with cross-functional teams to develop and deploy advanced analytical solutions. You will be responsible for analyzing large datasets, building predictive models, and generating actionable insights to inform business decisions. The ideal candidate will possess strong analytical skills, a deep understanding of statistical methods and machine learning techniques, and a passion for solving complex problems using data.

Key Responsibilities:

1. Collaborate with stakeholders to understand business objectives and identify opportunities for leveraging data analytics to drive business value.
2. Collect, clean, and preprocess large datasets from multiple sources to ensure data quality and integrity.
3. Apply statistical analysis and machine learning techniques to develop predictive models and algorithms for solving business problems.
4. Evaluate model performance and iteratively refine models to improve accuracy and effectiveness.
5. Generate actionable insights and recommendations based on data analysis, and present findings to stakeholders in a clear and compelling manner.
6. Work closely with engineering teams to deploy and operationalize analytical models in production environments.
7. Stay abreast of the latest developments in data science and machine learning, and proactively explore new techniques and methodologies to enhance analytical capabilities.
8. Collaborate with cross-functional teams to integrate data analytics into business processes and decision-making workflows.
9. Adhere to best practices in data governance, security, and compliance, ensuring the ethical and responsible use of data throughout the organization.

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field
• Experience with developing and deploying predictive models and algorithms would be a plus
• Proficiency in programming languages such as Python or R, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy, SciPy) would also be a plus
• Strong understanding of statistical methods and machine learning techniques, including linear regression, logistic regression, decision trees, random forests, and neural networks.
• Experience working with big data technologies (e.g., Hadoop, Spark) and distributed computing frameworks.
• Solid understanding of data visualization techniques and tools (e.g., Matplotlib, Seaborn, Tableau).
• Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced, dynamic environment.
• Strong communication and presentation skills, with the ability to effectively communicate complex technical concepts to non-technical stakeholders.
• Experience with cloud computing platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.

We are a equal opportunity employer and is committed to diversity and inclusion in the workplace. We encourage individuals from all backgrounds to apply.

Job Duties:

• Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualisation software.

• Apply data mining, data modelling, natural language processing, and machine learning to extract and analyse information from large structured and unstructured datasets.

• Visualise, interpret, and report data findings and may create dynamic data reports as well.

Job Requirements:

Must have relevant experience in:

- Business Requirement Analysis

- Business Process and System Understanding

- Effective Communication with both business and technical users

- Conversant in Microsoft Office products

Should have hands-on experience as Azure Data Engineer using:

- Azure Data Factory

- Azure Synapse Analytics / Datawarehouse

Preferably with relevant certifications from Microsoft including Azure Data Engineer Associate

Should have hands-on experience in

- Performing data Ingestion using Data factory & T-SQL stored procedure and data harmonizing

- Implementing Data Quality validation

- Providing technical support (80%) & enhancements (20%) for existing applications in Azure

Good to have following skills

- Knowledge of Azure Databricks

- Data modelling in Azure Analysis Services using star and snowflake schema

- Python Coding Experience

- Knowledge of writing DAX query to create measures & dimensions.

✨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

✨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

Hey Hey! Are you seeking an opportunity that helps you improve and grow your personality?

Our company is expanding!!

We are looking for an enthusiastic Junior Marketing to join our growing team. We provide development on personal growth, communication skills and we never fail to see teammates walking in and out of the office smiling. :)

Responsibilities:

-Achieve sales target and improve the sales of clients' company

-Creating awareness about the product or services that our clients is providing

-Lead a sales and marketing team and facilitating team’s growth

-Get involved in client’s marketing through business development

-Develop analytical and problem-solving skills

What do we want from you?

-No experience? Fear not, 1-1 mentorship and guidance are provided!

-Keen learning attitude and enjoy interacting with new people

-Hunger for personal development and progress

-Team player

Benefits:

-Attractive Performance Incentives

-Overseas Travelling Opportunities

-Fun Environment

-Team bonding activities

Summary of role requirements:

• No experience required for this role
• Working rights required for this role
• No experience required for this role
• Expected salary: $3000-$5000 per month

We regret to inform you that only shortlisted candidate will be notified.

Join us today!!!

✨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

We are a leading Outsourced Global Sales & Marketing Agency based in Singapore, and we're expanding, looking to groom the next leaders of the industry and bring their careers to greater heights!

Here at Euphoria Organisation, we know that in any marketing agency, the magic starts with our people.

If you are driven, ambitious and love to network, WE WANT YOU!

✨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

Requirements:

• Excellent ethics and positive learning attitude
• Leadership potential and ready to take on challenges (view challenges as opportunities instead!)
• Team player and enjoys interactions with people

Responsibilities:

• Implementing ethical sales technique with integrity & enthusiasm
• Lead and drives a team towards a common goal
• Relationship builder with established clients, customers and consumers

Benefits:

• One on one MENTORSHIP & SUPPORT system
• Performance based
• BUSINESS ADVANCEMENT
• Highly motivated, FUN and FAMILY-liked environment
• TRAVELLING opportunities – Regional and International

Sounds like something you are seeking for?

Send in your resume to us by clicking APPLY NOW. We will bring you on to a GREATER ADVENTURE! We regret to inform you that only shortlisted candidate will be notified.