Description

You will design and maintain scalable data and software solutions in data-intensive environments.

Responsibilities

• Design and implement high-performance data processing applications using Python and PySpark.
• Write efficient, reusable, and testable code following engineering best practices.
• Optimize and troubleshoot large-scale batch and streaming jobs.
• Collaborate with data engineers, architects, and DevOps teams to deliver end-to-end solutions.
• Integrate with legacy or back-end systems and contribute to CI/CD automation.

Required Skills

• 10+ years of professional software development experience.
• Strong programming expertise in Python.
• Hands-on experience with PySpark and Apache Spark in production environments.
• Solid understanding of distributed systems and big data frameworks.
• Proficiency with SQL, data modeling, and data wrangling.
• Experience using Git and CI/CD tools.
• Knowledge of agile development practices.
• Any Graduate degree.

Preferred Skills

• Experience with Java for integrating APIs or enterprise components.

Key Skills

Education

Any Graduate