Python Developer - Data Integration & Automation FULLY REMOTE - India
450 - 600 USD per month
Company:Polonord Adeste Srl
Location:India, CET
Languages:English
Seniority level:Middle, 3+ years
Experience:3+ years
Skills:
AWSPythonGitPandas
Requirements:
- Proven experience as a Python Developer (3+ years preferred).
- Strong knowledge of Python libraries for APIs, web scraping (requests, BeautifulSoup, Selenium, Scrapy), and data handling (pandas, openpyxl, etc.).
- Hands-on experience with Amazon Seller Central and Vendor Central APIs.
- Experience with Google Sheets API and other third-party APIs.
- Proficiency with AWS services (Lambda, S3, EC2, CloudWatch, etc.) for automation and deployment.
- Ability to write clean, well-structured, and reusable code.
- Familiarity with version control (Git) and collaborative development workflows.
- Strong problem-solving skills and attention to detail.
- Excellent communication skills and ability to work in a team environment.
- Detail-oriented and able to manage multiple projects with tight deadlines.
- Ability to work independently and meet tight deadlines.
- Very strong English proficiency.
- Accountable and reliable, taking responsibility for your tasks and actions.
- Self-motivated and results-oriented, taking a proactive approach to achieving goals.
- Able to communicate complex tasks in writing and verbally.
- Open to new challenges and responsibilities.
- Actively looking to learn, improve, and grow.
- Collaborate effectively with others and contribute positively to the team's success.
- Able to work as an independent contractor.
- Able to work during our core global office hours (Mon- Fri 9 am - 1 pm, 2 pm - 6 pm CET).
- Reliable, high-speed internet access (a minimum download speed of 25 Mbps and a minimum upload speed of 6 Mbps).
- A newer computer is required (no older than 3 years).
Responsibilities:
- Develop Python scripts and applications to connect diverse data sources (APIs, scraping, internal databases, Google Sheets, Amazon Seller Central & Vendor Central, etc.).
- Build and maintain automated pipelines for data collection, transformation, and reporting.
- Implement recurrent automations with proper error handling and monitoring.
- Deploy, manage, and scale automations in AWS environments.
- Collaborate with other developers and stakeholders to ensure scalability and maintainability.
- Write clear documentation for developed systems and automations.
- Continuously improve performance, reliability, and security of data integrations.
