Role: Lead AWS Data Engineer Location: NYC NY
Job Summary: We are looking for an experienced Data Visualization and Migration Specialist with a strong background in AWS QuickSight, AWS Redshift, and Amazon Q. The ideal candidate will have a proven track record of working with data visualization tools, as well as extensive experience in data migration activities, specifically moving data from on-premises data stores to Amazon Redshift.
Key Responsibilities: - Design, develop, and maintain interactive dashboards and reports using AWS QuickSight.
- Leverage Amazon Q for natural language query capabilities to enhance data accessibility and usability.
- Manage and optimize AWS Redshift data warehouses, ensuring data integrity and performance.
- Conduct data migration from on-premises data stores to AWS Redshift, including planning, execution, and validation.
- Collaborate with cross-functional teams to understand business requirements and translate them into effective data visualizations and reporting solutions.
- Implement best practices for data management, data quality, and data governance.
- Troubleshoot and resolve issues related to data visualization and data migration.
- Provide training and support to end-users on using AWS QuickSight and Amazon Q.
- Stay updated with the latest trends and technologies in data visualization and data migration.
Required Qualifications: - Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field.
- 4-5 years of experience working with data visualization tools, specifically AWS QuickSight.
- Strong expertise in AWS Redshift, including data warehousing and performance optimization.
- Experience with Amazon Q for enhancing data accessibility.
- Proven experience with data migration activities, particularly moving data from on-premises data stores to Amazon Redshift.
- Proficient in SQL and database management.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Ability to work independently and manage multiple projects simultaneously.
Preferred Qualifications: - AWS Certification in any of the following: AWS Certified Solutions Architect, AWS Certified Data Analytics, AWS Certified Big Data.
- Experience with other data visualization tools like Tableau or Power BI.
- Knowledge of ETL processes and tools.
- Experience with scripting languages such as Python or R.