Data Engineer Analyst democratizing finance data at Itaú. Supporting decision-making processes for Finance and Risk business areas with high-quality data.
Responsibilities
We are looking for someone for the position of Data Engineering Analyst who wants to develop and learn, share, collaborate, and innovate, delivering value to all our clients.
In this role you will:
We are seeking a professional to work on the Retail Data Ingestion layer, contributing to the construction of a new way to capture, consume, and democratize the organization's Finance data. The objective is to support the Finance and Risk business areas in decision-making with greater agility, ensuring resilient processes and data quality from origin to end-user visualization.
Data Democratization
Building Data Pipelines
Data Modeling
Performance Optimization
Data Infrastructure Management
Data Integration
Process Automation
Use of Artificial Intelligence
Requirements
Work with data integration processes in ETL and ELT models, primarily using AWS Glue, Glue Crawler, and Glue Data Catalog.
Experience with AWS services such as EMR, Kinesis, Athena, and QuickSight.
Knowledge of modern data architecture, with foundations in Data Mesh.
Experience with DevOps tools and infrastructure such as Docker, Kubernetes, and Terraform.
Knowledge of data processing tools and technologies (e.g., Python, SQL, Spark, Kafka).
Familiarity with data quality best practices and governance.
Experience with agile methodologies (Scrum, Kanban).
Ability to work in a team and collaborate with different business areas.
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