Description

Build and maintain large-scale data solutions and multi-tier software systems.

This role is hybrid.

Responsibilities

• Design, develop, test, and maintain end-to-end data pipelines.
• Own the full software development lifecycle from architecture to deployment.
• Write high-quality, reusable, and maintainable code in Golang, including unit tests.
• Collaborate with engineering and Ops teams to deliver scalable solutions.
• Drive technical solutions using system design thinking and problem-solving.

Required Skills

• 10+ years of hands-on software development experience.
• Expertise in Google Cloud Platform (GCP) development.
• Proficiency in Python and PySpark.
• Strong SQL skills with BigQuery, Hive, and Spark SQL.
• Experience with Big Data Architecture: Hadoop, Hive, and Airflow.
• Deep understanding of Data Structures, OOP, and Design Patterns.
• Ability to perform Spark job debugging and performance tuning.
• Experience with multi-threaded programming, troubleshooting, and debugging.
• Proficiency in Unix and GitHub.

Preferred Skills

• Experience in client and stakeholder management.
• Experience leading offshore teams and delivery.
• Relevant certifications in Big Data or GCP.

Key Skills

Education

Any Graduate