Data Engineer

Social network you want to login/join with: MSC Cruises, the 3rd largest cruise operator globally, is seeking a highly skilled and experienced Data Engineer to join our dynamic and international team in Naples . The candidate should be able to work independently in an agile environment, prioritize workload, and adhere to tight deadlines within a collaborative team setting. They will be responsible for designing, developing, implementing, and supporting business-critical data pipelines that enable enterprise Business Intelligence, Data Visualization, and Advanced Analytics solutions. The candidate should have a deep understanding of Data Architecture, Data Warehousing, Data Analytics, and Visualization tools that can harness large datasets from various sources, both on-premise and in the cloud. KEY ACCOUNTABILITIES Design, develop, and maintain scalable data pipelines for ingesting and transforming data from diverse sources, both on-premise and in the cloud. Design data integrations and data quality (reconciliation) frameworks. Implement processes and systems to monitor data quality, ensuring production data is accurate and available for business processes. Perform data analysis to troubleshoot data-related issues. Assist in selecting appropriate technologies based on company needs. Create custom software applications. Develop, run, and document unit/integration tests. Collaborate with Data Scientists and Data Architects. Work closely with frontend and backend development teams. Minimum Qualifications Degree in Computer Science, IT/IT Management, Systems Analysis, or a comparable discipline in technology or software engineering. 5 years of hands-on experience in architecture, design, and development of enterprise Data Engineering solutions and integrations. Strong understanding of Data Warehousing and Data Science concepts. Problem-solving and troubleshooting skills. Experience or knowledge of Agile Software Development methodologies. Excellent oral and written English communication skills. Proficiency with SQL and NoSQL DBMS (e.g., MS SQL Server, Oracle, MySQL, Azure SQL, MongoDB, CosmosDB, Cloud Data Warehouse Technologies). Experience with Big Data Technologies (Hadoop, Kafka, Apache Spark, Spark Streaming, Azure Databricks, Delta Tables, ADLS Storage Gen2). Knowledge of ML frameworks and libraries (Azure ML, Dataiku, TensorFlow, PyTorch). J-18808-Ljbffr

Location: Napoli, Campania, IT

Posted Date: 7/6/2025