Python Automation Tester

Aziro; Bengaluru; Hybrid; INR 700,000 - 1,200,000; Full time

Job summary

Aziro Bengaluru is seeking an experienced Python Automation Engineer to design and implement robust automation solutions across SAP GUI, web, and data workflows. You will leverage Python, Pandas, OpenPyXL, and SQL to build scalable processes and ensure reliable logging and error handling.

You will collaborate with cross-functional teams, maintain versioned automation scripts via Git, and contribute to CI/CD pipelines using Azure DevOps or Jenkins.

Qualifications

• Proficient in Python programming for automation tasks.
• Experience with SAP GUI scripting for automation.
• Web automation using Selenium.
• Excel automation with Pandas and OpenPyXL.
• API integration and automation workflows.
• Windows-based automation solutions.
• Strong debugging with exception handling and logging.
• SQL/database interaction.
• Version control with Git.

Responsibilities

• Strong Python programming skills.
• Automation of SAP GUI scripting tasks.
• Develop and maintain Selenium Web automation scripts.
• Excel automation using Pandas and OpenPyXL.
• API integration and workflow automation.
• Windows-based automation solutions.
• Implement robust logging and exception handling.
• Interact with SQL databases and perform queries.
• Manage versions with Git.

Skills

Python programming

Selenium Web Automation

SAP GUI Scripting Automation

Excel Automation using Pandas and Open

Tools

Selenium

SAP GUI Scripting

Pandas

OpenPyXL

SQL

Git

Azure DevOps

Jenkins

Docker

Job description

Role & responsibilities

Python Automation

• Strong Python programming skills


• SAP GUI Scripting Automation


• Selenium Web Automation


• Excel Automation using Pandas and OpenPyXL


• API Integration and Automation


• Windows-based automation solutions


• Exception handling, logging, and troubleshooting


• SQL and database interaction


• Git version control

Preferred Skills

• CI/CD pipeline implementation


• Azure DevOps / Jenkins


• Docker fundamentals


• Monitoring and logging tools