AWS Data Warehouse & QuickSight Visualization Engineer | Noida | Salary Based on Profile

Hiring is open for an experienced AWS Data Warehouse & QuickSight Visualization Engineer in Noida. Candidates with 3–5 years of relevant experience in AWS cloud data warehousing, Amazon Redshift, AWS Glue, SQL and dashboard development are invited to apply.

Job Highlights

• Role: AWS Data Warehouse & QuickSight Visualization Engineer
• Location: Noida
• Experience: 3–5 Years
• Work Mode: Hybrid
• Office Requirement: Minimum 2 Days per Week
• Salary: Based on Profile
• Domain: Cloud Data Engineering / Data Warehousing / Business Intelligence / Data Visualization
• Core Technologies: AWS Redshift, AWS Glue, Amazon QuickSight, SQL

Roles & Responsibilities

• Design and implement AWS Cloud Data Warehouse solutions.
• Integrate data from multiple sources into cloud-based data warehouse environments.
• Work with Amazon Redshift databases and SQL for data management and analysis.
• Develop, maintain and enhance interactive dashboards using Amazon QuickSight.
• Build and maintain AWS Glue ETL jobs and scripts.
• Optimize dashboard performance and ensure data accuracy.
• Manage AWS Identity and Access Management (IAM), security permissions, access controls and user roles.
• Perform data validation to maintain data quality and consistency.
• Troubleshoot technical issues related to data pipelines, databases and dashboards.
• Support business analytics requirements through data processing, reporting and visualization.

Qualifications & Eligibility

• Candidates must have 3–5 years of relevant professional experience.
• Hands-on experience with AWS Cloud Data Warehouse solutions is required.
• Strong working knowledge of Amazon Redshift and SQL is mandatory.
• Practical experience with AWS Glue and ETL processes is required.
• Candidates must have experience developing interactive dashboards using Amazon QuickSight.
• Knowledge of data visualization and dashboard development is essential.
• Applicants should be familiar with data integration, validation and troubleshooting.
• Candidates must be comfortable working in a hybrid arrangement with at least 2 office days per week.
• Specific educational qualifications have not been mentioned.

Mandatory Technical Skills

• AWS Redshift
• AWS Glue
• Amazon QuickSight
• SQL
• Cloud Data Warehousing
• Data Visualization
• Dashboard Development
• ETL Development
• Data Integration
• Data Validation

Preferred Skills

• Amazon S3
• AWS Lambda
• Python
• AWS Glue Scripting Experience

Compensation & Benefits

• Salary: Based on Profile
• Work Arrangement: Hybrid
• Office Attendance: Minimum 2 Days per Week