Experteer Overview

In questa posizione da Data Engineer, entrerai nel team Data Engineering & Governance per costruire una Data Platform ibrida e interamente on-cloud, con Databricks su AWS. Lavorerai a stretto contatto con Data Science/AI & Analytics e le business unit per trasformare i dati in insight operativi affidabili. L’obiettivo è supportare processi chiave, garantire qualità dei dati e contestualizzazione di business lungo tutto il ciclo di vita. Un ruolo dinamico in un contesto giovane e orientato all’innovazione, con opportunità di contribuire all’evoluzione verso funzionalità AI. Il progetto offre visibilità end-to-end su pipeline ETL e data model, con trasferte Milano-Verona.

Responsabilità

- Develop pipelines ETL in SQL, Python and Spark for the Data Platform (Databricks su AWS, Kubernetes)
- Monitor and ensure efficiency of processes on the Data Platform (Databricks su AWS, Kubernetes)
- Participate in the design of the Data Model and the Data Platform
- Support business users in data usage and development




- Minimum 2 years experience in relational and NoSQL databases and back-end software development
- Excellent knowledge of SQL and relational database design (PostgreSQL, MS SQL, Oracle)
- Excellent knowledge of Apache Spark and PySpark
- Good experience with Python and ETL/data processing libraries
- Familiarity with Git and dataOps/DevOps methodologies, including CI/CD pipelines
- Basic experience in at least one cloud environment (AWS, GCP or Azure)
- More than 1 year experience with Python
- More than 1 year experience with Databricks
- More than 1 year experience with PL/SQL
- Preferred: Databricks, AWS services for data pipelines (S3, Glue, Lambda, ECR, Athena, EC2), Docker, orchestration tools (Airflow, Prefect Cloud)
- Italian language spoken at B2 level
- Availability for travel between Milan and Verona and ability to work independently in a team

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📌 Data Engineer (Milano)
🏢 Experteer Italy
📍 Milano