Engenheiro de Dados GCP (Analytics) Pleno

📋 Description

• Develop and maintain scalable and efficient ETL/ELT data pipelines, ensuring that data flows
• Build data ingestion, transformation, and availability solutions within Google Cloud Platform
• Design and implement distributed data processing solutions using Databricks and Spark/PySpark
• Design, evolve, and support modern data architectures, including Data Lake, Data Warehouse, and
• Integrate data from multiple sources, including APIs, databases, and streaming platforms, ensuring
• Establish and maintain practices that support data quality, governance, reliability, and

🎯 Requirements

• At least 4 years of professional experience as a Data Engineer, with a solid track record of
• Practical experience with Google Cloud Platform, particularly services such as BigQuery, Cloud
• Hands-on experience with Databricks and distributed data processing using Spark, including
• Strong proficiency in Python and SQL, with the ability to develop data processing solutions and
• Experience with relational and dimensional data modeling, including the ability to structure data
• Experience with pipeline orchestration tools such as Airflow or similar technologies.

🎁 Benefits

• 100% remote work.