Role: Transporeon - Lead AWS Cloud Engineer for embedded Quicksight use-cases
Job Description
Designing solutions and prototypes that make the best use of Amazon QuickSight and educate the developer teams on how to integrate dashboards into their custom applications. Collaborate with BI Technology, BI Admin, cloud & data engineering teams, provide training, and support teams to ensure customer success.
Key Responsibilities:
Cloud Architecture design
Design and implement scalable and reliable cloud architectures on AWS
Architect solutions that embed QuickSight for seamless integration of analytics into applications
Setup Lambda functions, develop scripts and automation tools to streamline deployment, monitoring and maintenance processes
Implement Infrastructure as Code (IaC) using tools such as AWS CloudFormation
Implement security best practices for cloud-based solutions, ensuring data protection and compliance with relevant regulations
QuickSight Integration & development
Utilize QuickSight to develop interactive and visually compelling embedded analytics for end-users.
Implement dashboards, reports and data visualizations that meet business requirements
Data Visualization Development: Design and develop data visualizations using Amazon QuickSight to present complex data in a clear and understandable format. Create interactive dashboards and reports that allow end-users to explore data and draw meaningful conclusions.
Data Analysis: Collaborate with data analysts and business stakeholders to understand data requirements, gather insights, and transform raw data into actionable visualizations.
User Interface (UI) and User Experience (UX): Ensure that the data visualizations are user-friendly, intuitive, and aesthetically pleasing. Optimize the user experience by incorporating best practices in UI/UX design.
Data Integration: Work closely with data engineers and data architects to ensure seamless integration of data sources into QuickSight, enabling real-time and up-to-date visualizations.
Performance Optimization: Identify and address performance bottlenecks in data queries and visualization rendering to ensure quick and responsive dashboards.
Data Security and Governance: Ensure compliance with data security policies and governance guidelines when handling sensitive data within QuickSight.
Training and Documentation: Provide training and support to end-users and stakeholders on how to interact with and interpret visualizations effectively. Create detailed documentation of the visualization development process.
Stay Updated with Industry Trends: Keep up-to-date with the latest data visualization trends, technologies, and best practices to continuously enhance the quality and impact of visualizations.
Using the Agile Methodology, attending daily standups and use of the Agile tools
What You Need To Succeed (Minimum Qualifications):
Proven experience as a Cloud Engineer with a focus on AWS
In-depth knowledge of Amazon QuickSight and its integration capabilities
Strong understanding of cloud architecture and best practices
Proficiency in scripting languages such as Python and automation tools
Strong knowledge of data visualization best practices and principles
Experience working with various data sources, databases and data integration
Proficiency in SQL for data querying, data transformation and manipulation
Ability to work with large datasets and design efficient data models for visualization
AWS certification(s) is a plus
Excellent communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
Creative mindset with a keen eye for design and aesthetics.
Self-motivated and able to work independently, as well as in a team-oriented environment.
Strong problem-solving skills and attention to detail.
What Will Give You A Competitive Edge (Preferred Qualifications):
Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field.
5+ years of hands-on experience in data visualization, specifically using Amazon QuickSightExperience with the core AWS services, plus the specifics mentioned in this job description.
Experience in front-end application development using Angular.
Excellent communication and collaboration skills.
Excellent Client management skills & ability to work independently without the need for directions.
Working knowledge of AWS technologies including solid understanding of CloudWatch, EC2, S3, IAM, AWS Systems Manager, Event Bridge, AWS Cloud Formation Templates (CFT) and Lambda services.
Working knowledge of AWS command-line interface (CLI) or SDKs for programmatic access to EC2 process data
Experience with cloud-based software development tools and methodologies (Git, CI/CD, Code Deploy, Code Pipeline, etc.) is a plus.
Software development experience in one or more software languages including TypeScript, JavaScript, Node.js, Python, HTML, CSS
AWS Lambda / Server-less computing
Familiarity with RDS & Aurora DB
Amazon Quicksight for embedded use- cases.
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