Python Developer

As a Python Developer with Anatella expertise, you will play a key role in developing and maintaining scalable data processing applications, automating workflows, and improving the efficiency of business data analytics. You will work closely with our data engineers and analysts to implement robust solutions that meet the needs of our growing company.

Key Responsibilities :

• Develop and maintain Python applications for data processing, automation, and analytics.
• Utilize Anatella to build and optimize ETL processes, data pipelines, and complex workflows.
• Collaborate with cross-functional teams (e.g., data analysts, business analysts, and data engineers) to gather requirements and develop data-driven solutions.
• Design and implement robust data models and databases.
• Create reusable, modular Python code for efficient data analysis and processing.
• Ensure quality and scalability of data workflows, with an emphasis on optimization and performance.
• Write clean, maintainable, and well-documented code.
• Perform code reviews and mentor junior developers.
• Troubleshoot and resolve issues with data pipelines, scripts, and automation processes.
• Keep up-to-date with industry trends, best practices, and emerging technologies.

Required Skills and Qualifications :

• Proven experience as a Python Developer, with a strong portfolio of Python-based projects.
• Extensive experience with Anatella for data processing and automation.
• Strong understanding of data structures, algorithms, and object-oriented programming principles.
• Familiarity with databases (SQL, NoSQL) and experience with data manipulation.
• Experience with ETL (Extract, Transform, Load) processes and building data pipelines.
• Ability to work with large datasets, ensuring the scalability and performance of applications.
• Excellent problem-solving and debugging skills.
• Knowledge of version control systems (Git, GitHub, Bitbucket).
• Strong communication skills and the ability to collaborate with different teams.

Preferred Skills :

• Experience with cloud platforms such as AWS, GCP, or Azure.
• Familiarity with big data tools (Hadoop, Spark, etc.).
• Knowledge of data visualization tools (e.g., Tableau, Power BI) is a plus.
• Experience with agile development methodologies.