Senior Data Visualization Specialist

2 weeks ago

Singapore beBeeDataEngineer Full time $100,000 - $150,000
Job Opportunity">Data Engineers play a critical role in the success of AI-driven solutions, enabling end-to-end intelligent workflow orchestration. As a Data Engineer, you will collaborate with cross-functional teams to create robust data pipelines and impactful visualizations that deliver valuable insights.Key Responsibilities:
  • Data Pipelining/Engineering: Collaborate with engineering teams to build data pipelines and manage data warehouses that serve the Analytic platform.
  • Data Analysis: Work with stakeholders, data scientists, and subject matter experts to understand data and convey insights through visualizations.
  • Design: Develop visually engaging and user-friendly data visualizations tailored to target audiences and objectives.
  • Tool Selection: Choose appropriate data visualization tools based on data nature and desired output.
  • Data Preparation: Clean, preprocess, model, and format data for visualization, involving data analysis, cleaning, transformation, and integration.
  • Visualization Development: Create dynamic, interactive, and static data visualizations using Power BI Desktop and DAX.
  • Testing and Validation: Ensure accuracy, functionality, and performance of data visualizations through testing and validation processes.
  • Optimization: Optimize data visualizations for performance, responsiveness, and scalability, especially when dealing with large datasets.
  • Feedback and Iteration: Gather feedback from stakeholders and end-users, making necessary improvements to enhance visualization effectiveness.
  • Documentation: Document the data visualization process, including data sources, methodologies, design decisions, and best practices.
Requirements:
  • Proven experience in Agile/Scrum environments.
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related fields; Master's degree is a plus.
  • Proven experience (4-5+ years) in data-oriented positions, preferably in data-rich environments.
  • Demonstrable proficiency in data manipulation and analysis tools like SQL, Python, and PySpark.
  • Deep understanding of SQL and NoSQL databases, differences, and respective modeling.
  • Hands-on experience with Azure Synapse Analytics, including data-flows, pipelines, notebooks, and workspace management.
  • Practical experience with data visualization tool Power BI.
  • Strong analytical skills to extract meaningful insights from complex datasets.
  • Excellent communication skills to convey findings and recommendations to technical and non-technical stakeholders.
  • Attention to detail and ability to work with large datasets.
  • Problem-solving and proactive mindset to develop creative solutions to data challenges.
Technical Stack:
  • Azure Synapse Analytics (data-flows, pipelines, notebooks, workspace management).
  • Github and Github actions.
  • PowerBI Embedded architecture (app owns data scenario), token generation lifecycle.
  • Data Analytics Ops (Integrated Git for Azure PowerBI).
  • Python and PySpark.
  • MongoDB and SQL DBs.
  • PowerBI Desktop and PowerBI Embedded.

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