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Russell Tobin

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Data Engineer

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Summary

Data Engineer in Madrid with 4+ years of experience building scalable data solutions and pipelines for advanced analytics, working with big-data technologies like Hadoop and Spark and programming in Python, Java, SQL and Scala, while supporting machine-learning initiatives alongside technical teams and clients.

We are looking for a talented Data Engineer building scalable data solutions to support advanced analytics with 4+ years of experience.

You will work collaboratively with technical teams and clients, contributing to data-driven solutions while exploring new technologies and approaches.

Key Responsibilities

  • Build and develop data solutions for advanced analytics.
  • Work with large-scale datasets and big-data technologies.
  • Design, develop and optimise data processing solutions and pipelines.
  • Work with technologies such as Hadoop and Spark.
  • Develop and maintain solutions using Python, Java, SQL and Scala.
  • Support advanced analytics and machine-learning initiatives.
  • Use tools such as Anaconda and Spark for analytics and machine-learning applications.
  • Work closely with technical teams and clients to deliver effective data solutions.
  • Contribute to technical discussions and continuously improve development practices.
  • Investigate complex technical challenges and develop effective solutions.
  • Stay up to date with new technologies and be willing to experiment with new approaches.

Key Requirements

  • Advanced degree in Computer Science or equivalent technical experience.
  • Hands-on experience building data solutions for advanced analytics with 4+ years of experience.
  • Strong knowledge of big-data technologies, particularly Hadoop and Spark.
  • Strong programming skills in Python, Java, SQL and Scala.
  • Experience working with large datasets and data processing environments.
  • Familiarity with advanced analytics and machine-learning tools.
  • Strong problem-solving and analytical skills.
  • Excellent communication and collaboration skills.
  • Ability to work effectively with both technical teams and clients.
  • Intellectual curiosity and willingness to learn and work outside your comfort zone.

Skills

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See also

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