Databricks Engineer - €400 A Day

My client is looking for a Databricks Data Engineer - 12 Month Contract paying 400 Euros per day.Aumente sus posibilidades de llegar a la fase de entrevista leyendo la descripción completa del puesto y enviando su solicitud sin demora.Role: Databricks Data EngineerWork Timings: Swiss/Spanish Business HoursExperience Range: 6-10 yearsLocation: Spain/ Madrid / Near locationMandatory Skills:· Strong hands-on experience in Databricks· Advanced PySpark development· Strong Python programming· Experience building end-to-end data pipelines· Expertise in data ingestion from multiple sources (APIs, databases, files, etc.)· Experience implementing Medallion architecture (Bronze ? Silver ? Gold layers)· Strong SQL and data transformation skills· Experience handling large-scale data processingKey Responsibilities:· Design and develop data pipelines from source systems to Gold layer datasets· Implement data ingestion, transformation, and optimization using Databricks xhfqzwm · Build scalable PySpark-based data processing pipelines· Ensure data quality, performance optimization, and maintainabilityImportant Note:Client is specifically looking for strong hands-on engineers who can write PySpark/Python code and implement pipelines independently.

My client is looking for a Databricks Data Engineer - 12 Month Contract paying 400 Euros per day.Aumente sus posibilidades de llegar a la fase de entrevista leyendo la descripción completa del puesto y enviando su solicitud sin demora.Role: Databricks Data EngineerWork Timings: Swiss/Spanish Business HoursExperience Range: 6-10 yearsLocation: Spain/ Madrid / Near locationMandatory Skills:· Strong hands-on experience in Databricks· Advanced PySpark development· Strong Python programming· Experience building end-to-end data pipelines· Expertise in data ingestion from multiple sources (APIs, databases, files, etc.)· Experience implementing Medallion architecture (Bronze ? Silver ? Gold layers)· Strong SQL and data transformation skills· Experience handling large-scale data processingKey Responsibilities:· Design and develop data pipelines from source systems to Gold layer datasets· Implement data ingestion, transformation, and optimization using Databricks xhfqzwm · Build scalable PySpark-based data processing pipelines· Ensure data quality, performance optimization, and maintainabilityImportant Note:Client is specifically looking for strong hands-on engineers who can write PySpark/Python code and implement pipelines independently.