Description

Role Overview

Data Engineer will be responsible for designing and implementing scalable backend systems, leveraging Python and PySpark to build high-performance solutions. The role requires a proactive and detail-oriented individual who can solve complex data engineering challenges while collaborating with cross-functional teams to deliver quality results.

Key Responsibilities

  • Develop and maintain backend systems using Python and PySpark.
  • Optimize and enhance system performance for large-scale data processing.
  • Collaborate with cross-functional teams to define requirements and deliver solutions.
  • Debug, troubleshoot, and resolve system issues and bottlenecks.
  • Follow coding best practices to ensure code quality and maintainability.
  • Utilize tools like Palantir Foundry for data management workflows (good to have).

Qualifications

  • Strong proficiency in Python backend development.
  • Hands-on experience with PySpark for data engineering.
  • Excellent problem-solving skills and attention to detail.
  • Good communication skills for effective team collaboration.
  • Experience with Palantir Foundry or similar platforms is a plus

Education

Any Graduate