Description
Responsible for maintaining and evolving Culttivo's data platform, ensuring internal teams have secure, reliable, and governed access to data.
**Key Responsibilities:**
* Design and implement data architecture on Microsoft Azure and Google Cloud Platform;
* Build ingestion pipelines from SQL Server, MongoDB, and external APIs (credit bureaus, coffee price quotations, weather data);
* Implement modeling layers (bronze/silver/gold or equivalent) with governance, lineage, and quality;
* Define versioning, CI/CD, and testing standards for pipelines in collaboration with DevOps;
* Collaborate with DevOps on capacity planning, Azure costs, and security.
**Requirements:**
* Solid experience in data engineering and projects on Microsoft Azure;
* Proficiency in SQL Server and MongoDB databases;
* Proficiency in relational and non-relational database modeling;
* Advanced SQL and Python expertise;
* Hands-on experience with Azure Data Factory, Databricks, and Azure Data Lake;
* Technical English for reading.
**Preferred Qualifications**
* Experience in credit, agribusiness, or financial sectors;
* Experience with geospatial data.
**Benefits:**
* Caju flexible benefits card;
* Conexa Saúde;
* Wellhub;
* Discount platform.
Send your resume by e\-mail with the subject “**Data Engineer**” to **vagas@culttivo.com**