Competências necessárias:

Desired Qualifications
 

AWS Glue: Familiarity with AWS Glue for carrying out ETL operations, including understanding of Glue Catalog, Glue Jobs, and Glue Crawlers.

• AWS S3: Good knowledge of AWS S3 for data storage and retrieval, including understanding of S3 bucket management, data transfer, and security features.
• AWS Lake Formation: Experience with AWS Lake Formation for creating, securing, and managing data lakes, including understanding of data lake architecture and security policies.
• AWS Athena: Ability to use AWS Athena for data querying, including basic SQL knowledge and the ability to optimize queries for performance.
• AWS Redshift: Understanding of AWS Redshift for data warehousing tasks, including knowledge of data loading, data modeling, and performance tuning.
• AWS Aurora: Familiarity with AWS Aurora for relational database services, including understanding of database management, SQL, and database optimization.
• Data Modeling: Skills in designing and implementing data models for specific use cases. Security: Basic understanding of AWS security best practices, including IAM roles, security groups, and encryption.
• Performance Tuning: Skills in optimizing the performance of AWS services for specific use cases.
• Troubleshooting: Ability to identify and resolve issues related to AWS services. Communication: Ability to explain technical concepts to non-technical team members.
• Project Management: Ability to handle multiple projects at the same time and meet deadlines.

• AWS Certification: Having an AWS certification, such as the AWS Certified Big Data or AWS Certified Solutions Architect, would be beneficial.