Data Engineer

Join a dynamic, matrix-structured team where cross-functional teams take full end-to-end ownership. We foster close collaboration between business and tech, combining agile methodologies with mutual learning to create fertile ground for both technological and business innovations. You'll be working with cutting-edge technologies in an environment that encourages initiative and creativity.

Role Overview:

• Develop end-to-end data pipelines in a DATA LAKE environment
• Build and manage data transportation processes in relational databases
• Develop Python applications (with a focus on PySpark)
• Analyze and process data using SQL
• Collaborate with Data Analysts on model development
• Create dashboards and controls for ETL processes

Requirements:

• 2+ years of experience in Big Data, focusing on SPARK and HIVE
• At least 3 years of experience in SQL development and data analysis
• Familiarity with DL, DWH, and ETL/ELT processes
• 2+ years of Python development experience – strong advantage
• Experience with Quilliup – advantage
• Experience with Predictive Modeling – advantage
• Agile methodology experience – advantage

If you're passionate about data and eager to work in an innovative and collaborative environment, we'd love to hear from you! 🚀