Python Automation Engineer (3-9 yrs)

Job Description :

Key Responsibilities of a Python Automation Engineer :

- Scripting and Automation : Writing Python scripts to automate repetitive tasks such as data extraction, file manipulation, system monitoring, and more.

- Testing Automation : Developing automated test scripts to validate software functionality, performance, and security. They often work with tools like Selenium for web automation, pytest for unit testing, and Jenkins for continuous integration/continuous deployment (CI/CD) pipelines.

- Process Automation : Automating business processes using Python, which might involve interacting with APIs, databases, or other software applications.

- Tool Development : Creating custom tools and utilities to improve productivity, such as scripts for data processing, report generation, or system management.

- Data Automation : Working with data pipelines, automating data collection, processing, and analysis tasks. This may involve working with libraries like pandas, NumPy, and others.

- Infrastructure Automation : Using Python in combination with infrastructure-as-code (IaC) tools like Terraform, Ansible, or AWS CloudFormation to automate the deployment and management of IT infrastructure.

- Collaboration : Working closely with other teams, such as DevOps, IT, QA, and software development teams, to integrate automation solutions into broader systems.

Skills Required :

- Proficiency in Python : Strong understanding of Python syntax, libraries, and frameworks.

- Knowledge of Automation Tools : Familiarity with tools like Selenium, Jenkins, Ansible, Terraform, etc.

- Understanding of DevOps Practices : Knowledge of CI/CD pipelines, containerization (Docker), and cloud services.

- Problem-Solving Abilities : Ability to identify automation opportunities and design efficient solutions.

- Experience with Version Control : Knowledge of Git or other version control systems.