Senior Spark Data Engineer - Remote

Overview

As a Senior Spark Data Engineer at Valtech, you will work in an environment designed for continuous learning and professional growth, contributing to innovative digital solutions and transforming industries.

In Short

• Work in a values-driven culture with growth opportunities.
• Design and support data pipelines for batch and real-time processing.
• Collaborate with teams to build fault-tolerant data systems.
• Utilize Spark and Azure tools for data engineering tasks.
• Engage in Agile methodologies and knowledge-sharing.
• Develop documentation for systems and projects.
• Perform root cause analysis for software issues.
• Drive meaningful impact through technology and creativity.
• Be part of an inclusive culture that values diversity.
• Access learning and development opportunities.

Requirements

• Bachelor's/Master's in quantitative studies or relevant experience.
• 2+ years of experience with Spark (PySpark) and data pipeline development.
• Hands-on experience with Azure Data Factory or Airflow.
• Strong SQL skills and data modeling experience.
• Ability to work remotely while being an engaged team member.
• Advanced English proficiency.
• Proven analytical and design skills.

Benefits

• Flexibility with remote and hybrid work options.
• Career advancement and international mobility opportunities.
• Access to cutting-edge tools and training.