About the role
Capgemini is hiring a Cloud Data Engineer to support clients in building modern and Big Data architectures, implementing data solutions, and handling data analysis and representation through dedicated tools. The position sits within Data Governance programs and involves designing and delivering data analytics, Big Data, and Data Warehouse solutions across cloud environments such as AWS, GCP, and Azure, as well as platforms including Databricks and Snowflake.
You will develop and manage ETL/ELT pipelines for real-time and batch data processing, implement Data Governance and security strategies, and collaborate with internal teams and clients to integrate and transform data from multiple cloud and on-premise sources. The role also includes supporting the design and deployment of data architectures on Azure, AWS, or GCP using services such as Synapse Analytics, Azure Data Factory, AWS Glue, Redshift, EMR, Lambda, GCP BigQuery, Dataflow.
Highlights
- Hybrid work across Milano, Torino, Bologna, Marcon, and Roma
- Permanent contract under CCNL Metalmeccanico Industria, Livello B2/B3
- Advertised RAL range from € 33.000 to € 47.000
- Focus on cloud data platforms, ETL/ELT, Big Data frameworks, and Data Governance
This recap is dataskew's editorial summary, not the company's copy.