Automation Specialist
3 days ago
Jio is seeking a skilled Data Processing Specialist to join our team. As a Data Processing Specialist, you will be responsible for developing and maintaining Python scripts to process and analyze large datasets. You will work closely with cross-functional teams to design and implement scalable data processing solutions.
About the Role
This role requires a strong understanding of Python programming language and its applications, particularly in data processing and analysis. You will be responsible for designing and implementing scalable Python solutions that integrate with various tools and technologies.
Main Responsibilities
- Develop and maintain Python scripts to process and analyze large datasets.
- Collaborate with developers, system administrators, and other stakeholders to design and implement scalable data processing solutions.
- Create and maintain data pipelines, integration scripts, and APIs to enhance data flow and system interactions.
- Troubleshoot and debug Python scripts, identifying issues and providing timely fixes.
Requirements
- 5-7 years of professional experience writing Python scripts and applications.
- Strong understanding of object-oriented programming (OOP) and design principles.
- Experience with Python libraries such as Pandas, NumPy, requests, and others for data processing and automation.
- Familiarity with common Python frameworks (e.g., Flask, Django) for building APIs or web applications (if applicable).
- Experience working with SQL and NoSQL databases (e.g., PostgreSQL, MongoDB) and integrating them into Python-based solutions.
- Solid understanding of file I/O, data structures, and algorithms.
- Experience with integrating Python scripts with cloud services (e.g., AWS, GCP, Azure) or using APIs.
- Strong debugging and troubleshooting skills to diagnose and fix issues in code.
- Knowledge of version control systems like Git and best practices for collaborative coding.
- Ability to write clear, efficient, and maintainable code with a focus on scalability and performance.
- Strong problem-solving skills and attention to detail.
- Excellent communication skills, with the ability to work in a team and explain technical concepts clearly.
Bonus Points
- Experience with containerization (e.g., Docker) and orchestration tools.
- Familiarity with CI/CD pipelines and automating deployments.
- Experience with cloud-native development (e.g., Lambda, Kubernetes).
- Exposure to data visualization tools (e.g., Matplotlib, Seaborn).
- Knowledge of test-driven development (TDD) and writing unit/integration tests in Python.
- Experience with Python-based automation frameworks (e.g., Selenium for automation testing).
- Familiarity with Linux/Unix-based systems and shell scripting.
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