Description

You will design, develop, and maintain scalable data processing applications using Databricks, Spark, and PySpark.

This role is hybrid.

Responsibilities

• Design and implement scalable data processing pipelines using Python, PySpark, and Spark.
• Collaborate with data engineers and data scientists to deliver solutions aligned with business requirements.
• Ensure data integrity, performance, and reliability across all processing pipelines.
• Write clean, maintainable code following established standards.
• Implement and manage CI/CD pipelines for automated testing, integration, and deployment.

Required Skills

• 12+ years of proven experience as a Databricks Developer.
• Strong expertise in Spark and PySpark.
• Proficiency in SQL and hands-on experience with relational databases.
• Strong programming experience in Python.
• Familiarity with version control systems such as Git.
• Experience collaborating with Data Engineers and Data Scientists.
• Strong analytical and problem-solving abilities.

Preferred Skills

• Bachelor's degree in Computer Science or related field.

Key Skills

Education

Bachelor's degree