Engenheiro (a) de Dados
Core
Design, develop, sustain, and evolve Big Data ingestion and processing pipelines; structure data layers ensuring quality, governance, security, and scalability; build analytical tables and normalized data models for business and technology consumption.
Role type
Senior Data Engineer (Big Data & Analytics)
Builds
Data pipelines, data layers, analytical tables, and normalized data models
Domain
Financial Services / Big Data Engineering
Required skills
SQL, Python, Spark, Airflow, Kafka, Hive, Presto, NiFi, AWS (S3, EMR, Glue, Athena, Redshift, Kinesis, EC2, Lambda), Data Lake, Lakehouse, Data Mesh
Responsibilities
Design and develop Big Data ingestion and processing pipelines; Structure and organize data layers ensuring quality, governance, security, and scalability; Develop and maintain analytical tables and normalized data models; Collaborate with analytics, data science, and business teams to translate needs into robust technical solutions; Align, refine, and prioritize data demands with data producers and consumers; Contribute to the evolution of the bank's data architecture and best practices.