DATA & CLOUD NATIVE PLATFORMS
Internship Rome (Roma Capitale)
Job description
· Categoria professionale
Infrastruttura IT / DBA - Data Manager - Data Analyst
· Settore
ENERGIA TRADIZIONE/INDUSTRIA ESTRATTIVA
· Località
Roma, Roma
· Data inizio
20/02/2020
· Riferimento esterno
DATA&CLOUDNATIVEPLATFORMS-3111-616
Per Multinazionale del settore petrolifero ricerchiamo:
1 DATA ENGINEER e CLOUD NATIVE PLATFORMS
Si richiede:
• TITOLO DI STUDIO: LAUREA in INGEGNERIA, INFORMATICA o equivalente
• 3 to 5 years of experience as Data Engineer or Backend Developer
• Professional experience with at least one of the following programming languages: Python, Scala or Java
• Extensive experience with coding ETL data pipelines.
• Excellent SQL and data management knowledge
• Strong understanding of design patterns, data structures, and algorithms.
• Knowledge of scalable query systems like Presto, Athena, Impala or Hive
• Knowledge about data formats like Avro and Parquet
• Experience working with cloud providers like AWS, Azure, Google Cloud, etc.
• Experience in working with persistence technologies like AWS S3, HDFS, Kafka, ElasticSearch etc.
• Experience with automating the data infrastructure using tools like Ansible, Puppet, Terraform, Packer or CloudFormation
• Knowledge and experience with Data Security related for ingestion, storing and visualization of data to SQL/NoSQL databases, Data Lakes, etc.
• Able to create modern data pipelines using tools such as AWS Kinesis and Lambda, StreamSets, etc.
• Ability to develop SQL structures that support high volumes and scalability using RDBMS's such as SQL Server, MySQL, Aurora, etc.
• Ability to model and design modern data structures, SQL/NoSQL databases, Data Lakes, Cloud Data Warehouse
Si offre: contratto a tempo indeterminato diretto con l'azienda. RAL commisurata al livello di esperienza maturata.
Sede di lavoro: ROMA
Esperienze lavorative:
Web Developer - 60 mesi
Titolo di studio:
Laurea Magistrale - Tecnico / Ingegneristico
Lingue conosciute:
Inglese: Parlato Ottimo - Scritto Ottimo - Comprensione Ottimo
Competenze:
Database - SQL, livello Ottimo
Business Intelligence - SQL Data Analizer, livello Ottimo
Disponibilità oraria: Full Time