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Python Automation Professional

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Onsite

Python Automation Professional

IDESLABS PRIVATE LIMITED

Python Automation Professional

Skills

ScrapingData MiningPythonTesting & QANumPypandasSeleniumData AnalysisAnsibleSystem & Network AdministrationRaspberry Pi

3 years ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

14 October 2026

What they need


  • IDESLABS PRIVATE LIMITED is looking for Python Automation Professional to join our dynamic team and embark on a rewarding career journey
  • Python Automation refers to the use of the Python programming language to automate repetitive tasks, streamline workflows, and increase efficiency in various domains
  • Python's simplicity, versatility, and extensive libraries make it a popular choice for automation purposes
  • Here are some key areas where Python automation is commonly applied:Scripting and Task Automation:Python can be used to write scripts that automate repetitive tasks, such as file operations, data processing, and system administration
  • Tasks like data extraction, data manipulation, data transformation, and report generation can be automated using Python
  • Web Scraping and Data Extraction:Python libraries like BeautifulSoup and Scrapy enable automated web scraping and extraction of data from websites
  • Web scraping can be used to gather information, monitor websites for updates, or collect data for analysis
  • Testing and Quality Assurance:Python's testing frameworks, such as PyTest and unit test, facilitate the automation of testing processes
  • Automated tests can be written to verify software functionality, performance, and reliability
  • Task Scheduling and Job Automation:Python's schedulers, such as Celery and AP Scheduler, allow the scheduling and execution of tasks or jobs at specific times or intervals
  • Automation of repetitive tasks like data backups, report generation, or data processing can be achieved using Python schedulers
  • GUI Automation:Python libraries like Py Auto GUI and Selenium enable the automation of GUI-based tasks and interactions with graphical user interfaces
  • GUI automation can be used for tasks such as automating software installations, simulating user inputs, or automating web browser interactions
  • System Administration and DevOps:Python can be used for system administration tasks like log analysis, server monitoring, or configuration management
  • Integration with tools like Ansible or Fabric allows automation of deployment, provisioning, and management of servers and infrastructure
  • Data Analysis and Reporting:Python, along with libraries like pandas, NumPy, and Matplotlib, facilitates data analysis, visualization, and automated reporting
  • Automated scripts can be written to analyze data, generate insights, and produce reports or visualizations on a regular basis
  • Internet of Things (IoT) Automation:Python can be used to automate IoT devices, control sensors, collect data, and manage IoT infrastructure
  • With frameworks like Raspberry Pi and Micro Python, Python enables automation in home automation, robotics, and IoT applications
  • To leverage Python for automation, one needs proficiency in the Python programming language, understanding of relevant libraries and frameworks, and familiarity with automation concepts and best practices

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