Junior Data Engineer PySpark/Databricks en España

Essential requirements

• Practical experience in development with PySpark, especially in transformations and evolutions on large volumes of data.
• Knowledge and experience in Databricks.
• Proficiency in SQL.
• Knowledge of development in Python.
• Ability to analyze incidents, debug processes, and propose technical solutions.
• Autonomy, proactivity, and orientation toward problem-solving.
• Ability to collaborate and integrate into multidisciplinary teams.

The following will be positively valued

• Experience with Jenkins for deployments and automation.
• Knowledge of Control-M for the planning and management of batch executions.
• Use of artificial intelligence tools applied to development, such as GitHub Copilot, Devin, or other similar solutions.
• Familiarity with agile methodologies and Scrum work dynamics.

At Metrica, we are looking to incorporate a Big Data Engineer with between 1 and 3 years of experience to join a consolidated team, participating in the development, maintenance, and evolution of high-volume data processes.

The position offers the opportunity to work in a technological environment based on Python, PySpark, Databricks, and SQL, collaborating closely with technical profiles and business analysts to guarantee the correct execution, quality, and availability of processes.

Main duties

• Development and maintenance of evolutions on large-scale tables using Python and PySpark.
• Execution, analysis, and debugging of processes and notebooks in Databricks.
• Preparation, planning, and monitoring of execution schedules via Control-M.
• Deployment and maintenance of developments via Jenkins.
• Analysis and resolution of incidents related to data processes.
• Coordination with functional analysts during the various phases of the business process.
• Participation in the continuous improvement of processes, performance, and reliability of data solutions.