Description

You will design, develop, and maintain large-scale data solutions across the full lifecycle.

This role is hybrid.

Responsibilities

• Design, develop, test, and maintain multi-tier software and large-scale data solutions.
• Own the full lifecycle from architecture and coding to testing and deployment.
• Collaborate with engineers, Ops, and business stakeholders to deliver scalable solutions.
• Ensure code is high-quality, well-tested, reusable, and maintainable.
• Drive solutions with strong system design thinking to deliver features on time.

Required Skills

• 10+ years of hands-on software development experience.
• Proficiency in Hadoop, Spark, Hive, and SQL (including BQ and Spark SQL).
• Strong programming skills in Python and PySpark.
• Experience with data pipeline orchestration using Airflow.
• Expertise in multi-threaded programming, debugging, and analytics.
• Strong grasp of data structures, algorithms, OOP, and design patterns.
• Familiarity with Unix environments and Git/GitHub workflows.
• Experience with Google Cloud Platform development.

Key Skills

Education

Any Graduate