Job Title:  T&T- EAD- Engg- ADMM-Consultant | Data Visualisation

Job Description: 

We are looking for a skilled and motivated AWS QuickSight Engineer to join our team. The ideal candidate will have a strong background in data visualization and analytics, with hands-on experience using AWS QuickSight. As an AWS QuickSight Engineer, you will be responsible for designing, developing, and maintaining interactive dashboards and reports to support data-driven decision-making across the organization. 

Key Responsibilities: 

• Design, develop, and maintain interactive dashboards and reports using AWS QuickSight. 
• Collaborate with data engineers, data scientists, and business stakeholders to understand data requirements and deliver effective visualization solutions. 
• Optimize QuickSight dashboards for performance and usability. 
• Implement data security best practices and ensure compliance with data governance policies. 
• Monitor and troubleshoot issues related to QuickSight dashboards and data sources. 
• Provide training and support to end-users on how to use QuickSight effectively. 
• Stay up-to-date with the latest trends and advancements in data visualization and AWS technologies. 

Qualifications: 

• Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field. 
• 3 to 6 years of experience in data visualization and analytics, with a focus on AWS QuickSight. 
• Strong proficiency in SQL and experience with data modeling and database design. 
• Hands-on experience with AWS services such as QuickSight, Redshift, S3, and Athena. 
• Proficiency in programming languages such as Python or R is a plus. 
• Excellent problem-solving skills and attention to detail. 
• Strong communication and collaboration skills. 

Preferred Qualifications: 

• AWS Certified Data Analytics – Specialty or AWS Certified Solutions Architect – Associate certification. 
• Experience with other data visualization tools like Tableau or Power BI. 
• Knowledge of data warehousing and ETL processes. 
• Familiarity with machine learning and data science concepts.