Senior Data Engineer

📋 Description

• Develop and continuously improve ETL pipelines for data ingestion, transformation, processing, and
• Work extensively with Databricks, applying engineering best practices while contributing to
• Organize and maintain data catalogs, ensuring information is standardized, reliable, discoverable
• Build and maintain integrations between multiple data sources, ensuring performance, consistency
• Develop data solutions using AWS and Databricks as part of the ongoing evolution of the data
• Monitor and optimize production pipelines, ensuring reliability, efficiency, and timely data

🎯 Requirements

• Solid professional experience as a Data Engineer, including the development and maintenance of
• Strong hands-on experience with Databricks, using the platform regularly to develop and operate
• Practical experience with AWS and ETL processes.
• Knowledge of data governance, data cataloging, data quality, and information management practices.
• Experience with both relational and non-relational databases.
• Familiarity with technologies such as Kafka, Kibana, and Elasticsearch.

🎁 Benefits

• Fully remote work from Brazil through a remote-first working model.
• Health insurance with no cost and no coparticipation for you and your dependents.
• Dental insurance and life insurance.
• Flexible VA/VR benefit through Caju.
• TotalPass access for physical wellbeing and activities.
• ZenKlub access for mental health and wellbeing support.