Senior DevOps Engineer

Overview

Python Developer with Automation Role: Python Developer with Experience Required: 3+ Years Interview Process: Must Have :

Kubernetes experience -2 years Python (Django/Flask) Automation & Scripting Data Manipulation (Pandas, NumPy, SQL/NoSQL) Data Visualization (Matplotlib, Seaborn, Plotly) Position Overview: We are seeking a skilled Python Developer with Automation expertise to join our team in Chennai. The ideal candidate will have a strong background in Python development, experience in automation, and proficiency in working with data manipulation and visualization tools. This role requires collaboration with cross-functional teams to develop efficient and scalable solutions. Key Responsibilities: Develop and maintain applications using Python frameworks like Django or Flask. Design and implement automation solutions to streamline processes and enhance system efficiency. Work with Pandas, NumPy, and SQL/NoSQL databases to manage and manipulate large datasets. Create data visualization dashboards using tools such as Matplotlib, Seaborn, or Plotly. Collaborate with stakeholders to understand requirements and deliver high-quality solutions. Ensure best coding practices, maintain documentation, and optimize performance. Required Qualifications & Skills: 3+ years of experience in Python development with a strong understanding of Django or Flask frameworks. Hands-on experience in automation, including scripting and process automation. Strong knowledge of data handling and manipulation using Pandas, NumPy, SQL/NoSQL databases. Experience with data visualization tools such as Matplotlib, Seaborn, or Plotly. Ability to work onsite/hybrid in Chennai. Preferred Qualifications: Experience working in a consulting or enterprise environment. Exposure to cloud platforms (AWS, Azure, or GCP). Knowledge of DevOps tools and CI/CD pipelines.

Job Types: Full-time, Permanent

Pay: ₹2,200,000.00 - ₹2,500,000.00 per year

Schedule:

• Day shift
• Fixed shift
• Rotational shift
• Weekend availability

Work Location: In person