Data Engineer (Remote)

Description

Job Summary: We are looking for an experienced Data Engineer to design and implement data architectures on Microsoft Fabric, manage data in OneLake, develop pipelines, and support analytics. Key Highlights: 1. Integration into a solid and credible group 2. Opportunity for professional development and career progression 3. Good working conditions and social benefits **Responsibilities** --------------------- * Design and implementation of data architectures on Microsoft Fabric, with focus on lakehouse and layered organization. * Data management in OneLake with optimization of performance, cost, and governance. * Development of ingestion and orchestration pipelines to integrate data from multiple sources (batch and streaming). * Large-scale data processing and transformation, ensuring quality, consistency, and readiness for analytical consumption. * Support for real-time analytics and integration of operational data. * Preparation of data for artificial intelligence and machine learning solutions. * Implementation of DevOps practices, CI/CD, and environment management. * Continuous monitoring, issue resolution, and performance optimization across the entire data platform. **Profile** ---------- * Master's or Bachelor's degree in Computer Engineering, Information Sciences, or related fields; * +3 years of experience in data engineering, ETL, and data platforms; * Strong proficiency in Python (PySpark is a plus) and solid knowledge of Spark and distributed computing; * Experience with cloud platforms: Microsoft Fabric, Azure Data Lake Gen2, Databricks, Synapse, Microsoft Fabric ecosystem, and Azure services (ADLS, Event Hubs, Key Vault); * High proficiency in T-SQL and KQL, including query optimization; * Knowledge of Microsoft Fabric services: Data Lakehouse, Data Warehouse, and Real-Time Intelligence; * Understanding of ETL/ELT, data modeling, and lakehouse architectures (Medallion). **We Offer** -------------- * Integration into a solid and credible group, currently implementing several growth projects; * Training and opportunities for professional and personal development; * Genuine opportunity for career progression, aligned with performance and demonstrated competencies; * Good working conditions and social benefits in effect at the company (Health Insurance and Life Insurance).