Data Engineer

hace 4 semanas


Madrid, Madrid, España Promote Project A tiempo completo
Job Description:

We are seeking a talented Data Engineer to join our team at Zeotap. As a Data Engineer, you will be responsible for designing and implementing robust, scalable, and high-performance data pipelines using Spark, Scala, and Airflow. You will work closely with data scientists and other stakeholders to improve data models that drive business processes.

Responsibilities:

  • Design and implement data pipelines using Spark, Scala, and Airflow.
  • Develop, construct, test, and maintain architectures such as databases and large-scale processing systems.
  • Assemble large, complex data sets that meet functional and non-functional business requirements.
  • Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources.
  • Collaborate with data scientists and other stakeholders to improve data models that drive business processes.
  • Implement data flow and tracking using Apache Airflow.
  • Ensure data quality and integrity across various data processing stages.
  • Monitor and optimize the performance of the data processing pipeline.
  • Tune and optimize Spark jobs for performance and efficiency, ensuring they run effectively on large-scale data sets.

Requirements:

  • Strong understanding of data engineering concepts and technologies.
  • Experience with Spark, Scala, and Airflow.
  • Ability to design and implement scalable and high-performance data pipelines.
  • Strong communication and collaboration skills.


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