Senior Data Engineer

Description

Job Summary: We are seeking a Data Engineer with solid experience in developing data pipelines, Python, and Microsoft Fabric to support the continuous evolution of services. Key Highlights: 1. Develop and maintain data ingestion processes 2. Collaborate with engineering, analytics, and business teams 3. Apply best practices for version control, automation, and code documentation Kalendae has been operating in the Brazilian market since 2005, offering co\-sourcing and consulting services, application development, information security, infrastructure services consulting (on-premise and cloud), and training in IT and business service management. We strive for continuous improvement of our services to ensure customer satisfaction and employee fulfillment. Requirements: We seek a Data Engineer with solid experience in developing data ingestion and transformation pipelines using Python and Microsoft Fabric ecosystem tools. **Key Responsibilities:** * Develop and maintain data ingestion processes from multiple sources (APIs, databases, files, etc.) using Python; * Design and optimize data pipelines in Microsoft Fabric (Data Factory, Dataflows, Lakehouse, Notebooks, etc.); * Ensure data quality, governance, and traceability throughout the ingestion flow; * Collaborate with engineering, analytics, and business teams to efficiently structure data; * Apply best practices for version control, automation, and code documentation. **Technical Requirements:** * Proficiency in Python for data manipulation and transformation (pandas, pyspark, etc.); * Practical experience with Microsoft Fabric and its components (Data Factory, Lakehouse, Synapse, Notebooks); * Knowledge of data modeling and pipeline structuring in cloud environments (preferably Azure); * Experience with large-scale data integration and process automation; * Familiarity with Git, CI/CD, and software development best practices is desirable. **Desirable:** * Experience with data governance and data cataloging; * Knowledge of modern data architectures (Data Mesh, Lakehouse, etc.); * Microsoft certifications (Fabric, Azure Data Engineer) will be considered a plus. Location: Hybrid in Bela Vista \-SP Employment Type: CLT