Data Engineer - Databricks - Remote

Overview

This position offers the opportunity to lead and shape large-scale data engineering initiatives in a dynamic, enterprise-focused environment.

In Short

• Lead the technical direction for data engineering projects and initiatives.
• Design, develop, and maintain scalable, secure, and efficient data pipelines and architectures using PySpark, AWS, and Databricks.
• Mentor and guide a team of engineers, ensuring adherence to best practices and high code quality.
• Collaborate with product, engineering, and data stakeholders to solve enterprise-scale data challenges.
• Analyze, optimize, and troubleshoot complex data workflows to ensure reliability and performance.

Requirements

• Experience in data engineering and building data pipelines.
• Proficiency in PySpark and AWS services.
• Strong understanding of data architecture and data modeling.
• Ability to mentor junior engineers and promote best practices.
• Excellent problem-solving skills and attention to detail.

Benefits

• Opportunity to work on large-scale data projects.
• Collaborative and innovative work environment.
• Professional development and growth opportunities.
• Competitive salary and benefits package.