Data Engineer

• Design, develop and maintain scalable, robust data pipelines.
• Build data ingestion, transformation and modeling solutions using Databricks, Spark/PySpark, Cloudera and Azure Data Factory (ADF).
• Ensure data quality, integrity and usability across the entire pipeline.
• Design and maintain Data Lake and Data Warehouse solutions, applying data governance best practices.
• Work with concepts and structures such as Bronze, Silver and Gold layers, Star Schema, Delta Tables, Delta Sharing and analytical tables.
• Collaborate with technical and business teams to orchestrate solutions aligned with company objectives.
• Availability to travel/commute to São Paulo or Curitiba twice a week.

Mid-Level Data Engineer

Data Engineer