About this role
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We are looking for a Data Engineer with solid experience in the design, development and optimization of scalable data solutions, aimed at the analysis and processing of large volumes of information within the Microsoft Azure ecosystem. Essential
Requirements
: - Advanced English C1. - +5 years as a Data engineer - Solid and verifiable experience in Azure Databricks (essential). - Apache Spark (PySpark) proficiency for processing large volumes of data. - Experience working with Azure Data Lake Storage Gen2 (ADLS). - Advanced knowledge of SQL for data analysis and transformation. - Experience in building, orchestrating and maintaining data pipelines. - Knowledge of data modeling and Data Warehouse concepts. - Use of Git for version control and collaborative work. Primary Responsibilities - Design and develop scalable and efficient data pipelines. - Implement data transformation and processing processes in Azure Databricks. - Optimize queries and data flows to improve performance and information quality. - Participate in the design of analytical models and data warehouse structures. - Collaborate with multidisciplinary teams on analytics and data projects. - Ensure good development, versioning and documentation practices. We offer - Salary depending on your years of experience. - Nominal and biweekly payment. - Superior legal
Benefits
. - Indefinite contract. - PERMANENT REMOTE work. If you fit the profile, apply only with your updated CV. Apply directly on RemoteJobs.org: https://remotejobs.org/remote-jobs/data-engineer-remoto-2727-xideral