Data Engineer

We are recruiting a Data Engineer.

 

Responsibilities for Data Engineer:

  • Create and maintain optimal data pipeline architecture.
  • Assemble large, complex data sets that meet functional / nonfunctional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and different PAAS 'big data' technologies.
  • Build Analytical Microservices that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Buisness & IT teams to assist with data-related technical issues and support company needs.
  • Create a set of data tools/products for analytics and data scientist team members that allow us to scale out.
  • Work with data and analytics experts to strive for greater functionality in our data systems Qualifications for Data Engineer.
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

Our ideal data engineer:

  • Experience building and optimizing 'big data' data pipelines, architectures and data sets.
  • Strong analytic skills related to working with unstructured datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores.
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres, Cassandra, Hbase, Big Table, Mongo.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with cloud services: AWS, Azure, Google.
  • Experience with stream-processing systems & IoT: Storm, SparkStreaming, Flint.
  • Experience developing Microservices and with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
  • Experience working with Docker and Kubernetes.
  • High level of English.

Lugar de trabajo: Madrid.

Descripció de l’empresa

Nunca se es suficientemente diferente, queremos ser únicos, por eso Paradigma es una no-company.

En una no-company la compañía no importa, solamente es el medio para conseguir que personas excepcionales trabajen juntas, y así, empresa a empresa, crear cosas que hagan del mundo un lugar mejor.

¿Cómo lo hacemos? Combinando tecnología, talento y metodología para reinventar el futuro digital de las grandes compañías.

Para conseguirlo es imprescindible estar siempre a la vanguardia, tanto tecnológica como metodológica y de negocio.

Big Data, Movilidad, User Experience, eCommerce, Cloud, Continuous Delivery, Microservicios, Entornos de 2 velocidades, etc. son nuestro día a día.

Somos radicalmente ágiles. Llevamos la agilidad a todos los aspectos de nuestra vida profesional, desde la metodología en la que construimos las soluciones (Scrum) hasta la forma de organizarnos como compañía.

Lo que realmente nos importa en Paradigma:

1. Las personas

2. Las personas

3. Las personas

Vamos, cambiemos el mundo.

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