Description

Build and maintain scalable data processing applications in a Spark-based environment.

Responsibilities

• Design and maintain scalable data processing applications.
• Collaborate with engineering teams to develop efficient data solutions.
• Implement test-driven deployment practices.
• Troubleshoot and optimize Spark performance issues.
• Contribute to sprint planning and deliver production-ready code.

Required Skills

• 4+ years of professional experience in data engineering or related roles.
• Strong Scala programming skills.
• Proficiency in Spark development and optimization.
• Experience with SQL, Java, Snowflake, and Python.
• Knowledge of Databricks and DevOps practices.
• Understanding of design patterns for data processing.
• Any graduate degree.

Key Skills

Education

Any gradudate