Description
Summary:
This role involves designing, developing, and maintaining ETL pipelines using AWS Glue, building data visualizations in Amazon QuickSight, and writing Python scripts for data processing.
Highlights:
1. Design and develop ETL pipelines using AWS Glue
2. Build and optimize data visualizations and dashboards in Amazon QuickSight
3. Write efficient Python scripts for data processing and automation
**QuickSight**
Responsibilities
* Design, develop, and maintain **ETL pipelines** using **AWS Glue**.
* Build and optimize **data visualizations and dashboards** in **Amazon QuickSight**.
* Write efficient **Python scripts** for data processing, automation, and integration tasks.
* Collaborate with business stakeholders to translate requirements into scalable data solutions.
* Ensure data quality, consistency, and security across systems.
* Troubleshoot and optimize performance of ETL jobs and reporting solutions.
* Document processes, workflows, and best practices for long\-term maintainability
Required Skills
* Strong hands\-on experience with **AWS Glue** for ETL and data integration.
* Proficiency in **Amazon QuickSight** for building interactive dashboards and reports.
* Solid programming skills in **Python** (data manipulation, automation, APIs).
* Knowledge of **AWS ecosystem** (S3, Redshift, Lambda, Athena).
* Experience with **SQL** for querying and data analysis.
* Understanding of **data warehousing concepts** and **business intelligence workflows**.
* Strong problem\-solving and analytical skills.
Job Type: Full\-time
Work Location: Hybrid remote in Brasília, DF