Total 3,918 job vacancies in Singapore

This entry-level role offers exposure to live events, client campaigns, and team-based marketing execution.

You’ll gain practical skills, performance-based rewards, and clear development pathways in a fast-paced environment.

Ideal for: Individuals starting their career and eager to grow through experience.

What We’re Looking For

Job Description & Requirements

Job Summary

Lead and manage digital marketing campaigns across Chinese digital platforms to drive brand engagement and customer acquisition through strategic content and advertising initiatives.

Responsibilities

• Plan and execute digital marketing campaigns on platforms such as WeChat, Xiaohongshu (RED), Douyin, and Weibo to engage target audiences effectively
• Manage social media accounts by developing content calendars and publishing schedules in Simplified Chinese
• Develop and implement content marketing strategies tailored to Chinese-speaking digital audiences
• Optimize digital advertising campaigns by tracking performance metrics and analyzing ROI to enhance effectiveness
• Collaborate with designers and content creators to produce compelling marketing materials aligned with campaign goals
• Monitor market trends and competitor activities within Chinese digital channels to inform strategy adjustments
• Manage partnerships with key opinion leaders (KOLs), influencers, and media platforms to amplify campaign reach
• Analyze digital analytics data and prepare detailed performance reports for management review
• Drive lead generation and customer acquisition through targeted digital marketing efforts

Required competencies and certifications

• Bachelor’s degree in Marketing, Business, Communications, or related field
• Minimum 3 years of experience in digital marketing, with hands-on management of campaigns on WeChat, Xiaohongshu, Douyin, or Weibo
• Proficient in Chinese copywriting and content planning using Simplified Chinese
• Experienced in using digital advertising and analytics tools to optimize campaign performance
• Ability to independently manage end-to-end marketing campaigns
• Knowledgeable about the digital marketing landscape in Singapore and China
• Preferred competencies and qualifications
• Experience collaborating with KOLs and managing influencer marketing campaigns
• Skills in SEO/SEM and performance marketing techniques
• Basic knowledge of design or video editing

Responsibilities:

• Data Infrastructure: Build, implement, and maintain scalable data pipelines and storage architectures.
• Data Quality: Maintain strong data integrity by ensuring reliability, consistency, and accuracy across all data processes.
• Performance Optimization: Enhance system efficiency by tuning data processing workflows and improving large-scale performance.
• Process Improvement & Mentoring: Strengthen data engineering practices while providing guidance and support to junior engineers.
• Cross-Functional Collaboration: Partner with business analysts, data scientists, and backend teams to deliver timely and actionable data solutions.

Qualifications:

• 5+ years’ experience in data engineering or backend roles, with strong programming skills in Python or Java/Scala.
• Hands-on experience with big data tools: Spark, Flink, Kafka, Airflow, and cloud platforms (AWS, GCP, Azure); proficient in SQL.
• Skilled in designing and maintaining data models, warehouses, and ETL/ELT pipelines for scalable, reliable systems.
• Knowledgeable in data quality, governance, security, and compliance best practices.

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
EA Personnel: Nyon Hock Sen (Aden)
EA Personnel Reg No: R24124070

Minimum requirements are experience with AWS, Kubernetes, and ECR repositories, and DataRobot knowledge is a plus as the applications are hosted on these services and requires in supporting day-to-day tasks.

Years of Experience:

At least 4 - 5years’ experience in developing, implementing and maintaining IT systems

Role and Responsibilities:

The Level 2 Support team is responsible for providing advanced technical support for the Data Streaming platform once it becomes fully operational. This role focuses on diagnosing and resolving issues escalated from Level 1 (L1) support, maintaining system stability, and coordinating with engineering and vendor teams to ensure continuous service availability and optimal performance.

Key Responsibilities:

Incident Management

• Investigate and resolve incidents escalated by the L1 support team.
• Conduct root cause analysis (RCA) for recurring or critical issues.
• Escalate complex incidents to Level 3 (L3) or vendor teams where necessary.

System Monitoring& Maintenance

• Monitor system performance, data flows, and integrations within the Data Streaming environment.
• Perform routine system health checks, log reviews, and preventive maintenance tasks.
• Implement minor configuration changes and system optimizations as required.

Problem & Change Management

• Support problem management activities by identifying and addressing underlying technical issues.
• Participate in change management processes, including testing and deployment of patches, upgrades, and new features.

Collaboration &Communication

• Work closely with L1 support, infrastructure, data engineering, and vendor teams to ensure timely issue resolution.
• Document troubleshooting procedures, resolutions, and updates for knowledge base improvement.
• Communicate technical updates and incident statuses to relevant stakeholders.

ContinuousImprovement

• Recommend improvements to monitoring tools, workflows, and processes to enhance system reliability.
• Support system audits, compliance checks, and performance reviews.

Requirements / Qualifications:

• Diploma or Degree in Information Technology, Computer Science, or a related field.
• Experience in application or platform support, preferably in data systems or cloud environments.
• Familiarity with DataRobot, or datastreaming technologies is an advantage.
• Strong analytical and troubleshooting abilities.
• Proficient in incident and problem management processes (e.g., ITIL framework).
• Good communication and stakeholder management skills. 

By proceeding with the job application, you are deemed to have read and acknowledged our https://www.totalebizsolutions.com/job-applicant-privacy-policy and consented to us using the personal data you shared for the purpose stated in the said policy.

Responsibilities:

• Works with Solution Architect & Business Analysts on end-to-end solution, evaluate and develop high-quality data solutions.
• Works with non-technical, subject matter experts to understand underlying data behavior and characteristics in ways that will be new for such non-technical people.
• Works cooperatively with others to resolve data and process issues.
• Uses standard data modeling, data flow, and data documentation tools to analyze, document and present data analysis work.
• Plan & develop ETL, Data preparation/aggregation processes from various sources to MSSQL database/PostgreSQL DB
• Maintain, and optimize ETL and other ETL processes to adapt to changes in needs and requirements.
• Participate in MS SQL code reviews and provide guidance on best practices.
• Review new database schema changes.
• Familiar with T-SQL, stored procedures, functions, inline SQL, database structures
• Analyze existing SQL queries for performance improvements.
• Monitor code migration and database change management through various stages of the development cycle.
• Design & Develop procedures and scripts for data migration.
• Develop, implement, maintain policies and procedures, and document database architecture to ensure security and integrity of the databases.

Requirements:

• 5 to 8 years of T-SQL programming.
• 2 to 3 years of Informatica development experience.
• Experience with migration of Informatica PowerCenter to IDMC.
• Experience with performance tuning of sources, mappings, targets, and sessions.
• Experience with Data Architecture and Data Modeling concepts.
• Familiarity with Microsoft SQL Server/PostgreSQL DB.
• Knowledge of git Source Control. and Knowledge of CI/CD pipelines or deployment automation tools.
• Critical thinker and problem-solving skills.
• Team player.
• Good time management skills.
• Great interpersonal and communication skills.

• Job Description
• Data Engineering: Strong foundation in data engineering principles, ETL/ELT processes, and data pipeline design patterns.
• PySpark: Proven hands-on experience developing data pipelines using PySpark, including DataFrames API, Spark SQL, and performance optimization.
• Databricks Platform: Practical experience with Databricks workspace, cluster management, notebooks, and job orchestration.
• Workspace AI Agent: Knowledge of Databricks Workspace AI Agent capabilities and integration.
• Data Modelling: Experience implementing data models including dimensional modelling, data vault, or Lakehouse architectures.
• Delta Lake: Understanding of Delta Lake features including ACID transactions, schema evolution, and optimization techniques.
• Python: Strong Python programming skills for data processing and automation.
• SQL proficiency for data querying and transformation
• Experience with cloud platforms (Azure, AWS, or GCP)
• Knowledge of streaming data processing (Structured Streaming)
• Familiarity with DevOps practices and CI/CD pipelines
• Experience with version control systems (Git)
• Requirements:
• Must have experience in data engineering or related roles
• Hands-on experience with Databricks platform
• Proven track record of refactoring legacy code to modern frameworks
• Experience building and maintaining production data pipelines at scale
• Background working across multiple data sources and formats
• Experience in agile development environments
• Databricks Certified Data Engineer Associate OR Databricks Certified Data Engineer Professional
• Additional Certifications (Preferred)
• Databricks Certified Associate Developer for Apache Spark
• Cloud platform certifications (Azure Data Engineer Associate, AWS Certified Data Analytics, or Google Cloud Professional Data Engineer)
• Relevant data engineering or big data certifications.

As a Data Scientist at Micron, you will employ techniques and theories drawn from areas of mathematics, statistics, semiconductor physics, materials science, and information technology to uncover patterns in data from which predictive models, actionable insights, and solutions can be developed.

You will interact with experienced Data Scientists, Data Engineers, Business Areas Engineers, and UX teams to identify questions and issues for data analysis projects and improvement of existing tools. In this position, you will help develop software programs, algorithms and/or automated processes to cleanse, integrate, and evaluate large datasets from multiple disparate sources. There will be significant opportunities to perform exploratory and novel solution development activities.

Key Responsibilities

• Design and implement computer vision systems for object detection, image segmentation, anomaly detection, and automated inspection, including experience with RGB-D cameras and vision inspection systems for volume/density measurement and component verification.

• Develop and deploy deep learning models (CNNs, LSTM, transformer-based architectures) for tasks such as image classification, time-series anomaly detection, and multimodal sentiment analysis, leveraging frameworks like TensorFlow, PyTorch, and Keras.

• Apply advanced AI techniques including few-shot learning, generative AI, and multimodal fusion (text, image, time-series) to solve manufacturing and environmental monitoring challenges.

• Extract, cleanse, and analyze large-scale datasets from SQL databases, cloud platforms (AWS, GCP), and sensor networks, applying rigorous outlier detection and missing data handling.

• Lead cross-functional collaboration with engineering, operations, and quality teams, including experience in project management, technical writing, and training/mentoring engineers in data science tools (Python, Spotfire, Power Automate).

• Coordinate production deployment activities using MLOps best practices (MLflow, Apache Airflow), including model monitoring, data drift detection, versioning, and automated testing.

• Contribute to research and innovation through published patents, peer-reviewed papers, or presentations at top-tier conferences (e.g., IJCNN, CVPR, NeurIPS), and demonstrate ability to translate research into practical solutions.

• Communicate technical concepts and project outcomes effectively to both technical and non-technical stakeholders.

Required Qualifications

• Ph.D. or Master’s degree in Computer Science, Data Science or AI.

• Minimum 2 years of hands-on experience developing and deploying scalable AI applications in manufacturing, semiconductor, or electronics industries.

Or

• Bachelor’s degree in Computer Science, Data Science or AI.

• Minimum 3 years of hands-on experience developing and deploying scalable AI applications in manufacturing, semiconductor, or electronics industries.

Required Technical Experience

• Computer Vision: At least 2 years of working experience in designing and deploying computer vision models for industrial applications, including object detection, image segmentation, and automated inspection using OpenCV, YOLO, and RGB-D cameras.

• Deep Learning & AI: At least 2 years of working experience with deep learning frameworks (TensorFlow, PyTorch, Keras), including CNNs, LSTM, transformer models, and generative AI.

• Multimodal Analysis: Proven ability to work with multimodal datasets (text, image, time-series), including sentiment analysis and fusion of multiple data types.

• Programming & Data Engineering: Strong Python programming skills; at least 2-years’ working experience with SQL, Java, C++, and cloud platforms (AWS, GCP); familiarity with distributed computing frameworks (Spark, Hadoop).

• MLOps & Deployment: Experience with MLflow, Apache Airflow, Docker, and Git for robust model deployment and monitoring in production environments.

• Visualization & Communication: At least 2 years of working experience in visualization tools (Dash, Plotly, Spotfire, PowerBI) and technical writing for documentation and training.

Required Soft Skills

• In working or research environment consistently demonstrated analytical and problem-solving skills, with a data-driven and research-oriented mindset for at least 2 years.

• Effective communicator and collaborator, with experience in cross-functional project management and training.

• Proven ability with at least 1-year working experience to work independently, manage multiple priorities, and deliver high-quality results in fast-paced, dynamic environments.

• proven track record of commitment to quality, continuous improvement, and adaptability in manufacturing settings.

Preferred Experience

• Prior experience in the semiconductor industry (e.g., Intel, STMicroelectronics) or electronics manufacturing.

• Hands-on involvement in integrating computer vision or NLP solutions into production systems.

• Contributions to patents, peer-reviewed publications, or top-tier conferences (IJCNN, CVPR, NeurIPS).

• Experience with large language models (LLMs), multimodal sentiment analysis, or generative AI.

• Professional training or teaching experience in data science or AI topics.
  
  Designs, develops and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement. Interacts with product and service teams to identify questions and issues for data analysis and experiments. Develops and codes software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Identifies meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.