Description

You will develop, troubleshoot, and enhance ETL applications while building scalable automation frameworks using Python, PySpark, and SQL.

This role is on-site.

Responsibilities

• Develop and maintain automation frameworks leveraging Python, PySpark, and SQL/NoSQL for ETL validation.
• Build Gen AI automation solutions using AI ML frameworks to enhance testing capabilities.
• Execute manual and automated test scripts for services and APIs, ensuring comprehensive coverage.
• Integrate tests into CI/CD pipelines to support continuous build and deployment processes.
• Collaborate with Agile teams to debug issues, review code, and maintain test documentation.

Required Skills

• 3-5 years of software engineering experience in Cloud/BigData Automation Testing.
• Strong proficiency in Python and PySpark for data processing and testing.
• Hands-on experience with Microsoft Azure, Azure Databricks, and PostgreSQL.
• Solid understanding of SQL and NoSQL databases.
• Experience with API testing and cloud testing environments.
• Familiarity with Test Automation tools and CI/CD concepts.

Preferred Skills

• Experience with Gen AI automation solutions and AI ML frameworks.
• Knowledge of DevOps technologies such as Kubernetes, Jenkins, and Docker.

Referral Bonus: ₹50,000

Key Skills

Education

Any Graduate