Data Engineer (Databricks) | PL

📋 Description

• Design, develop, and maintain data solutions with scalable processing workflows.
• Build modern data platforms for credit and agribusiness.
• Design data models aligned with business needs.
• Build and optimize scalable data pipelines.
• Ingest, transform, validate, and ensure data quality and performance.
• Maintain data lake and lakehouse architectures.

🎯 Requirements

• Experience with Apache Spark for distributed data processing.
• Experience with Apache Airflow for data pipeline orchestration.
• Knowledge of Apache Kafka for real-time processing and integrations.
• Experience with dbt for data transformation and modeling.
• Experience with SQL and NoSQL databases including PostgreSQL, MongoDB, and Cassandra.
• Experience with cloud data platforms such as Databricks, AWS Glue, and BigQuery.

🎁 Benefits

• Opportunity to work on innovative data projects with advanced technologies.
• Exposure to modern cloud platforms and large-scale data architectures.
• Professional growth in a technology-driven environment.
• Collaboration with multidisciplinary teams and impactful solutions.
• Career development opportunities focused on continuous learning and emerging technologies.