')}.multiple-items .slick-arrow.slick-prev:before{background-image:url('data:image/svg+xml;utf8,')}@media screen and (max-width:767px){.accordion-handler:after,.accordion-handler.active:after{content:'' !important;font-size:.8rem;width:2em;height:2em;background-size:cover;display:block}.accordion-handler:after{background-image:url('data:image/svg+xml;utf8,')}.accordion-handler.active:after{background-image:url('data:image/svg+xml;utf8,')}}
Al menos 5 años de experiencia
Retribución sin especificar
Tecnología e informática
Mando intermedio
2
6
Contrato Indefinido
Jornada Completa
Duración de la oferta: hasta el 08/03/2019.
The Data Engineer will act as the link between the IT infrastructure, Data Architect, Data Analyst and Data Scientist. He/She will ensure the extraction of the data from different sources and the correct treatment of data according to designing uses cases and business requirements. He/She will configure and maintain the required software for data extraction and ensure data is available and presented in the Corporate Datalake. Description The Data Engineer, will have the following responsibilities: * Coordinate the extraction, presentation and normalization of required data from different sources, formats, vendors and DDBB * Implement the Security and integrity corporate policies referred to Data management and treatment * Collect needs from business lines * Create data views for reporting consumption by business lines * Create and maintain Business Intelligence solutions as well as reporting * Build and optimize 'big data' pipelines, architectures and data sets. * Perform root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. * Work with unstructured datasets. * Build processes supporting data transformation, data structures, metadata, dependency and workload management. * Manipulate, process and extracting value from large disconnected datasets. * Participate in projects of stream processing, and highly scalable 'big data' stores. * Work with cross-functional teams in a dynamic environment. Profile The Data Engineer, will be: * Graduate degree in Computer Science, Statistics, Information Systems or another quantitative field. * 5+ years experience in several items: * Data extraction Data normalization Data Ingestion, Data presentation Talend, Scripting, Oracle, SQL, ODBS, QlinkView, Vertica, Hadoop, Spark, Kafka, NoSQL databases: Postgres and Cassandra. * Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. * Experience with stream-processing systems: Storm, Spark-Streaming, etc. * Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala Competences: * Strong project management and organizational skills. * Analytical and determined * Ability to work as a team; * Effective oral and written communication * Ability to evaluate in a challenging and fast growing environment Job Offer Interesting professional opportunities
The Data Engineer will act as the link between the IT infrastructure, Data Architect, Data Analyst and Data Scientist. He/She will ensure the extraction of the data from different sources
Multinational Bank specialist in Consumer Finance
Para crear una alerta debes iniciar sesión o regístrate
¡Gracias por escribirnos!
A partir de ahora recibirás las ofertas en tu email y/o whatsapp
Si tu alerta la recibes por email comprueba tu bandeja de correo no deseado o spam
Si tu alerta la recibes por whatsapp tendrás que confirmar el envío de ofertas de empleo
En estos momentos no podemos crear tu alerta
Por favor, inténtalo de nuevo transcurridos unos minutos