Lead AWS Cloud Engineer

• 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):

• Bachelors or Masters 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.