
Senior Data Engineer – Azure, Databricks, Data Platforms
Posted Aug 3

Posted Aug 3
This is a fully remote position, open to applicants in Spain.
• Design, develop, and maintain data engineering solutions within the Microsoft Azure ecosystem.
• Create and build optimized data models for analytical environments and large data volumes.
• Develop data integration and transformation pipelines (ETL/ELT) using Azure Databricks and Azure Data Factory.
• Generate and optimize SQL queries, stored procedures, and database structures.
• Engage in the design of scalable and efficient data architectures.
• Implement processes for loading, transforming, and utilizing data across various business areas.
• Ensure the quality, integrity, and availability of information.
• Collaborate with multidisciplinary teams in Agile environments.
• Participate in initiatives for continuous improvement and automation of data processes.
• Document developments, processes, and solutions implemented.
• Minimum of 4 years of experience as a Data Engineer.
• Proven experience with Azure Databricks, Azure Synapse Analytics, Azure Data Factory, and Azure SQL Database.
• Strong experience in designing and building data models.
• Experience in defining tables, complex relationships, query optimization, and stored procedures.
• Experience in developing pipelines and complex data transformations in Databricks.
• Advanced SQL proficiency.
• Experience with Python for data processing and transformation.
• Experience working on projects using Agile methodologies.
• Minimum B2 level of English.
• Ability to work independently in complex data engineering environments.
• N/A
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