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Big Data Architect (h/m) Vizcaya


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

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Empresa

MICHAEL PAGE

Our client is a leading manufacturing company located in Bilbao area. Given it's sustainable and steady growth rate, the firm is looking to hire a Big Data Architect based in the EMEA offices.
Descripción de la oferta

Descripción de la oferta

Duración de la oferta: hasta el 10/07/2019

Funciones

Michael Page Technology is seeking a full time senior Big Data Architect for a leading manufacturing company located in the Bilbao area.


Descripción de la oferta

As a Big Data Architect, you will be responsible for guiding the full lifecycle of a Big Data solution, including:

 * Focus on designing and implementing Big Data Pipelines.

 * Coordinate with data users and key stakeholders within Manufacturing, across EMEA region, and develop and achieve various long term objectives for data architecture.

 * Design short term resolutions to achieve all goals and prepare data roadmap for management.

 * Determine procedure to identify and collect all required data, validate process and recommend improvements to corporate data. Validate methodologies and tools ideal for data landscape including Big Data world

 * Oversee and monitor all frameworks to manage data across organization.

 * Design and provide support to all data management methodologies according to required standards.

 * Monitor and identify appropriate equipment, tools and systems to achieve all data technology goals.

 * Administer mapping of all data sources and movement and analyze it to ensure appropriate quality of all data.

 * Coordinate with project supervisors and business heads and manages all projects regarding Manufacturing data.

 * Manage various data associate problems such as system configuration and integration on multiple platforms.

 * Provide training to manage various data and ensure enhancement in staff working.

 * Develop key metrics for tests on data and ensure integrity of same on data architecture.

 * Prepare documents for data architecture and maintain knowledge on large data structure as well.

 * Collaborate with new and existing external vendors and provide support to all objectives and assist to create various data architecture.


Perfil del candidato

* 3-5 years of hands on experience across Big Data project implementations.
 * Ability to articulate technology choices in addressing architecture concerns and constraints.
 * Understanding of DevOps pipelines and key Agile concepts.
 * Knowledge of cloud infrastructure (particularly Azure).
 * Knowledge of security design, data management, data governance, lineage and audit.
 * Has deep experience with Big Data world including Hadoop distributions and application programming (Spark, MapReduce, Cascading, Hive, Impala, etc.).
 * Exposure to working in Agile projects with involvement in MVP definition, sprint planning, back-log grooming ad resolving blockers on technical solutions.
 * Familiar with designing high volume and fast big data solutions that have been successfully implemented into a production environment, both batch and stream processing using frameworks like Spark/Apache Nifi/Beam/Flink.
 * Strong understanding of data warehouse, data lake and associated ETL and data processing concepts.
 * Ability to articulate and hold solution discussion with key stakeholders Senior Enterprise Analytics Architects.
 * Hold a University degree, preferably in Computer Science/IT/Engineering or in a related field.
 * Demonstrate a passion for innovation and new idea generation.


Oferta de empleo

Opportunity to provide cutting-edge Big Data solutions for a leading manufacturing firm which operates all across the globe.

Requisitos

*3-5 years of hands on experience across Big Data project implementations.
*Ability to articulate technology choices in addressing architecture concerns and constraints.
*Understanding of DevOps.
  • Área

    Tecnología e informática

  • Categoría o nivel

    Mandos

  • Nº Vacantes

    1

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