HackerRank Launches Two New Products: SkillUp and Engage Read now

Join us at the AI Skills & Tech Talent Summit in London! Register now

The 2024 Developer Skills Report is here! Read now

Stream HackerRank AI Day, featuring new innovations and industry thought leaders. Watch now

Products
- Products
  - Screen
    Save time and accelerate your hiring.
  - Interview
    Conduct stellar technical interviews.
  - Engage
    Promote your tech brand.
  - SkillUp
    Mobilize your tech talent.
- Features
  - Certified Assessments
    Launch standardized, role-based tests in minutes.
  - Plagiarism Detection
    Ensure fairness with AI-powered plagiarism detection.
  - Real World Questions
    Assess technical hires with real-world coding questions.
Solutions
- What We Do
- Use Cases
  - Remote Hiring
  - University Hiring
Resources
- Learn
  - Blog
    Hiring best practices and industry insights.
  - Roles Directory
    Explore the definitive directory of tech roles.
  - Resource Library
    Guides, datasheets, and data-driven content.
  - Customer Stories
    How leading companies use HackerRank.
  - Developer Skills Report
    Key trends and forecasts for 2024.
- Product Help
  - Partners
    Learn more about the HackerRank Partner Network.
  - Integrations
    HackerRank seamlessly connects with your favorite tools.
  - What's New
    Get the latest product news and updates.
  - Support Center
    Everything you need to know to get started.
Pricing
For candidates
Contact Us

Data Engineer (PySpark)

Overview

Data engineers specializing in PySpark are responsible for designing and building large-scale data processing systems using Python and the Spark framework. They use their knowledge of distributed computing and data analysis to develop efficient and scalable data pipelines.

Also known as:
Software Data Engineer Python