Data Engineer (Azure / Databricks / Spark)

The project focuses on the development of a Predictive Maintenance system for jet engines, working on large-scale datasets using Big Data technologies.

• Good knowledge of SQL.
• Experience in Python development.
• General understanding of Big Data processing standards and tools.
• Experience with the Spark platform.
• Experience with Databricks.
• Experience with Data Processing and Storage services of Azure cloud is preferable.

• Develop and maintain ETL/ELT data pipelines.
• Process and transform large datasets using Databricks and Apache Spark.
• Build data solutions in Azure environment.
• Develop data processing logic using Python and SQL.
• Optimize data workflows and ensure data quality.
• Collaborate with Data Science and BI teams.
• Support the development of a Predictive Maintenance system.