Overview
Team-91 (Team-91.com) is an International Remote Services Provider
Job Description (JD)
We are seeking a highly experienced Senior Python and Data Engineer with over 10 years of expertise in Python, SQL, and data engineering. The ideal candidate will contribute to the development of an application that integrates generative AI, data visualization, and data warehousing. This role involves working on a part-time basis (20 hours per week) for the first three months, with potential for full-time engagement based on project needs.
Key Responsibilities:
- Develop and enhance Generative AI functionality using Crew AI.
- Build and optimize data visualization components using Streamlit.
- Design, implement, and maintain the data warehouse in BigQuery.
- Write efficient, maintainable, and scalable Python and SQL code.
- Leverage Google Cloud Platform (GCP) services for app deployment and optimization (preferred but not mandatory).
Required Skills & Qualifications:
Minimum 10 years of professional experience in Python and SQL development.
Preferred Qualifications:
Experience with GCP services like BigQuery, Cloud Functions, or Vertex AI.
Please fill this google form in order to be considered for the role.
https://forms.gle/VWidve8V4W7YiJiN7
Job Types: Part-time, Permanent
Pay: ₹35,000.00 - ₹40,000.00 per month
Expected hours: 20 per week
Benefits:
- Work from home
Schedule:
- Monday to Friday
Supplemental Pay:
- Yearly bonus
Application Question(s):
- what is your notice period (in days)
- what is your current/last salary per annum?
- Describe your experience with Generative AI functionality using Crew AI
- Describe your experience with Data visualization functionality built in Streamlit
- Describe your experience with the data warehouse built in BigQuery
- Important. Please give us some additional information about yourself by submitting this google form : https://forms.gle/NsFWhRRtQbXGXfTZ7
Applications without Google Form responses may not be considered.
Experience:
- SQL: 10 years (Preferred)
- Python: 10 years (Preferred)
Work Location: Remote