Data Engineer Madrid


  • Madrid
  • Hace 21 horas
  • 5 inscritos

Jornada Completa - Contrato Indefinido - Retribución sin especificar - Al menos 5 años de experiencia

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Empresa

MICHAEL PAGE

Multinational Bank specialist in Consumer Finance
Descripción de la oferta

Descripción de la oferta

Duración de la oferta: hasta el 08/03/2019

Funciones

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

Requisitos

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
  • Área

    Tecnología e informática

  • Categoría o nivel

    Mandos

  • Nº Vacantes

    2

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