Invillia

Data Analyst

• Build and evolve data pipelines in the AWS cloud environment;
• Develop and maintain pipelines using Databricks (PySpark and SQL);
• Structure data in a modern architecture (Data Lake / Lakehouse – Bronze, Silver, and Gold layers);
• Perform ingestion, transformation, and analysis of large volumes of data;
• Integrate data with AWS services such as S3, Glue, Athena, and Lambda;
• Create advanced SQL queries for data exploration and analysis;
• Develop dashboards and visualizations (Databricks SQL or Power BI);
• Support the definition and evolution of business metrics and KPIs;
• Work closely with business teams, translating needs into data solutions;
• Ensure data quality, governance, and consistency;
• Automate data routines and processes.

Senior AWS Data Analyst