Description

You will build and maintain large-scale data solutions and multi-tier software systems.

Responsibilities

• Design, develop, test, and maintain end-to-end data pipelines and large-scale data solutions.
• Own the full software development lifecycle from architecture and coding to testing and deployment.
• Collaborate with engineers, Ops, and business stakeholders to build scalable solutions.
• Write high-quality, reusable, and maintainable code including unit tests in Golang.
• 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, specifically with BigQuery, Hive, and Spark SQL.
• Experience with Big Data Architecture including 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