Position: Data Engineer
Category: Python
English level: upper
Years of experience: 11

Computer Science courses:
Coursera:
•	Cryptography I Stanford University
•	TensorFlow in Practice Specialization
•	Deep Learning Specialization (deeplearning.ai)
MongoDB University:
•	M101P: MongoDB for developers.
Python: asyncio, aiohttp, Sanic, Flask, WebSockets, RabbitMQ, Pandas, Scrapy.
Databases: Postgres, MongoDB, Redis, ClickHouse.
AI/ML/NLP: Tensorflow.Keras, OpenCV, spaCy.
DevOps skills: Docker, docker-compose, AWS CloudFormation.
AWS: EC2, S3, Lambda, DynamoDB, Route53.
SCM/Tools: Git, Redmine, Jupyter Notebook, Postman.
Experience with third-part API: SalesForce, Zuora, Cloudflare, telegram, Google PlacesAPI.
OS: Windows/FreeBSD/Linux advanced user.
Software development: SDLC, CI/CD.
I am looking for a Data Engineer/Python Software Engineer job in a small company or startup related to AI/ML domain.

Not interested in either Django or Fullstack jobs.