Data Engineer

Role Overview

We are a technology IT company operating in the consulting sector, listed on the stock exchange, and a Benefit Company. Our work consists of accompanying our clients in the digitalization process, offering competent guidance, developing software solutions, creating IT infrastructures, and providing technical and methodological training.

What You Will Do

The Data Engineer will contribute to the design and evolution of modern data platforms based on Lakehouse architectures, both in new implementation projects and in modernization and migration paths.

Why It Might Be a Fit

You will need consolidated experience with Databricks, excellent knowledge of Apache Spark and PySpark, and experience in designing and implementing ETL/ELT pipelines.

Requirements

• Consolidated experience with Databricks
• Excellent knowledge of Apache Spark and PySpark
• Experience in designing and implementing ETL/ELT pipelines
• Experience with Delta Lake, Delta Table, and Lakehouse/Medallion architectures
• Experience in using Databricks Workflows/Jobs and notebooks for data orchestration and processing
• Knowledge of the main data formats used in the Big Data and Analytics field
• Knowledge of performance tuning and workload Spark optimization principles
• Good knowledge of the English language

Benefits

• Flexibility in working hours
• A company welfare plan attentive to our needs
• Continuous training thanks to our internal Academy
• Competent and collaborative colleagues