Engenheiro(a) de Dados
Core
Design, implement, and maintain data policies, processes, and tools to define, own, and democratize data within a financial institution.
Role type
Data Engineer
Builds
Data pipelines, data lakes, and lakehouse architectures for financial data
Domain
Financial Services / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Apache Spark, Python, Pyspark, SQL, ETL, Data Orchestration, Data Modeling, Cloud Computing, Batch and Streaming Data Ingestion, Kafka, Data Lakehouse layers
Preferred skills
Data Factory, Databricks
Responsibilities
Implement data policies and processes; analyze and correct bugs in data systems; manage concurrent priorities in a fast-paced environment
Seniority
Open to all seniority levels
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