Data Engineer- R shiny skills mandatory
Senior Data Engineer
Overview
As a Senior Data Engineer, you will play a critical role in designing, developing, and maintaining data products and interactive dashboards that address the complex needs of our clients. Using your expertise in R and R Shiny, you will create tools and visualizations that are accessible, user-friendly, and fully compliant with government and industry standards.
Key Responsibilities
- Lead the development of.*RShiny web applications* to deliver innovative data solutions.
- Design and implement.*interactive dashboards* and integrate dynamic visualizations into R Markdown documents.
- Translate complex datasets into actionable insights for non-technical stakeholders.
- Collaborate with cross-functional teams to gather requirements, prioritize features, and deliver high-impact products.
- Ensure all products adhere to compliance standards, including.*GDPR*,.*WCAG 2.1 AA accessibility*, and.*GDS Service Standards*.
- Maintain alignment with.*Technical Standards* and the.*Technology Code of Practice*.
- Contribute to an Agile development environment, participating in sprints, stand-ups, and retrospectives.
Qualifications and Skills
Essential:
- A minimum of.*5 years of experience as a Data Engineer*.
- At least.*3 years of hands-on experience coding in R*, with a strong focus on.*R Shiny*.
- Demonstrated ability to design and develop.*interactive dashboards* and embed.*charts and visualizations* in R Markdown.
- Proven experience sharing data insights with.*non-technical stakeholders*.
- Strong expertise in.*data collection and visualization*.
- Familiarity with Agile development principles and practices.
Desirable:*
- Previous experience in the education or public sector.
- Knowledge of government technical frameworks, including the.*Government Design System*.
- Experience working with large-scale data platforms.
This professional revision maintains clarity and structure while removing unnecessary formatting symbols. Let me know if additional refinements are needed!
Reference: 2853271005
Data Engineer- R shiny skills mandatory
Posted on Nov 19, 2024 by scrumconnect ltd
Senior Data Engineer
Overview
As a Senior Data Engineer, you will play a critical role in designing, developing, and maintaining data products and interactive dashboards that address the complex needs of our clients. Using your expertise in R and R Shiny, you will create tools and visualizations that are accessible, user-friendly, and fully compliant with government and industry standards.
Key Responsibilities
- Lead the development of.*RShiny web applications* to deliver innovative data solutions.
- Design and implement.*interactive dashboards* and integrate dynamic visualizations into R Markdown documents.
- Translate complex datasets into actionable insights for non-technical stakeholders.
- Collaborate with cross-functional teams to gather requirements, prioritize features, and deliver high-impact products.
- Ensure all products adhere to compliance standards, including.*GDPR*,.*WCAG 2.1 AA accessibility*, and.*GDS Service Standards*.
- Maintain alignment with.*Technical Standards* and the.*Technology Code of Practice*.
- Contribute to an Agile development environment, participating in sprints, stand-ups, and retrospectives.
Qualifications and Skills
Essential:
- A minimum of.*5 years of experience as a Data Engineer*.
- At least.*3 years of hands-on experience coding in R*, with a strong focus on.*R Shiny*.
- Demonstrated ability to design and develop.*interactive dashboards* and embed.*charts and visualizations* in R Markdown.
- Proven experience sharing data insights with.*non-technical stakeholders*.
- Strong expertise in.*data collection and visualization*.
- Familiarity with Agile development principles and practices.
Desirable:*
- Previous experience in the education or public sector.
- Knowledge of government technical frameworks, including the.*Government Design System*.
- Experience working with large-scale data platforms.
This professional revision maintains clarity and structure while removing unnecessary formatting symbols. Let me know if additional refinements are needed!
Reference: 2853271005
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