Data Engineer

New

BrazilFull-TimeSenior

Salary not disclosed

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Job Details

Strong hands-on experience with Databricks, Azure Data Factory, ADLS, and cloud-based data architectures.
Solid knowledge of SQL (SQL Server, Oracle) and data modeling concepts.
Proven experience in Python for data engineering and pipeline development.
Experience with ETL/ELT tools and building scalable data integration solutions.
Ability to analyze business requirements and support architects in solution design.
Experience in API development and integration.
Familiarity with DevOps practices applied to data engineering environments.
Minimum 4 years of professional experience in IT.
Relevant degree or postgraduate qualification (minimum 360h).
Strong communication skills.

Design, build, and maintain scalable data models and pipelines using Databricks, Azure Data Factory, and Azure Data Lake Storage (ADLS).
Develop and optimize ETL/ELT processes to integrate structured and unstructured data from APIs, files, and enterprise systems.
Work with SAP Datasphere and relational databases (SQL Server, Oracle) to support enterprise data integration and modeling.
Structure and implement RAG solutions for contractual, financial, and document-based datasets supporting AI-driven analysis.
Build data pipelines to process external API data, transforming it into analytics-ready datasets.
Develop and maintain datasets for financial domains such as judicial deposits, guarantees, and credit-related structures.
Support the creation of data products and reporting layers replacing legacy BI tools.
Collaborate with architects and stakeholders to refine requirements and ensure scalable, high-quality data solutions.
Create and expose APIs for data consumption and integration across systems.
Apply DevOps practices to ensure reliable deployment, monitoring, and version control of data workflows.

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