- Solid knowledge of SQL and database management
- Proficiency in AWS services, including Glue, S3, Lambda, Athena, Quicksight, Amazon Quick
- Experience designing and maintaining data pipelines
- Familiarity with cloud computing platforms (AWS and Azure) and architecture
- Ability to manipulate and analyze data effectively, with a foundational understanding of scripting languages (e.g., Python)
- Experience with data visualization tools and techniques (e.g., Power BI, Quicksight)
- Ability to apply critical thinking to data challenges and proactively identify next steps
- A passion for staying updated with the latest trends and industry advancements such as Claude AI
- Comfort in ambiguity and ability to navigate complex, undefined scenarios