Engenheiro de Dados SR

📋 Description

• Design, develop, and maintain scalable, efficient, and reliable data pipelines to support
• Implement data ingestion, transformation, and integration workflows using both batch and streaming
• Build and optimize data engineering solutions with Cloudera, Databricks, and Amazon Web Services
• Develop data processing and transformation routines using Python, SQL, PySpark, and Apache Spark.
• Create, maintain, and improve ETL/ELT processes to ensure efficient and consistent data movement.
• Design and work with Data Lake, Lakehouse, and distributed processing architectures.

🎯 Requirements

• Proven experience working as a Senior Data Engineer, with strong expertise in data solution
• Practical experience with Cloudera and Databricks, particularly in processing and transforming
• Knowledge of AWS and its core services for data engineering and cloud-based data processing.
• Strong command of SQL and hands-on experience with Python and PySpark.
• Experience with Apache Spark and distributed data processing technologies.
• Solid understanding of ETL/ELT processes and relevant tools.

🎁 Benefits

• Opportunity to work on innovative technology and digital transformation initiatives.
• Collaborative environment that values innovation, continuous learning, and professional growth.
• Exposure to modern data engineering platforms and cloud technologies, including Cloudera
• Opportunity to collaborate with multidisciplinary teams across architecture, analytics, data
• An organizational culture focused on ethical practices, collaboration, diversity, and technical