Position: Python Developer
Company: Grid Dynamics
Experience required: 5y
Category: Python
English level: upper
Published: 2023-06-01T00:00:00+03:00

Join our dynamic team and be a part of building a cutting-edge data lake for BigData from manufacturing factories. As a Python Backend Engineer, you will be responsible for developing a set of microservices/APIs to efficiently handle and process large-scale data. This project offers an exciting opportunity to work with state-of-the-art technologies and contribute to the development of a robust data infrastructure.

**Client Description:**
One of the world's leading technology companies known for its innovative products and solutions.

**Tech Stack:**

✓Python
✓Microservices
✓Kafka
✓REST
✓S3 and RDBMS (e.g., Postgres)
✓NoSQL (e.g., HBase)

**Minimum Requirements:**

✓Strong proficiency in Python
✓Experience with RDBMS (e.g., Postgres)
✓Knowledge of Kubernetes
✓Familiarity with FastAPI and SQLAlchemy
✓Extensive experience building highly scalable and available REST APIs
✓Docker and SQL expertise

**Nice-to-have Requirements:**

✓Experience with asynchronous Python web frameworks (e.g., Tornado, Sanic, AIOHTTP)
✓Proficiency in CI/CD deployment, Helm, and monitoring systems like ✓Prometheus and Grafana
✓Familiarity with workflow systems like Airflow
✓Knowledge of S3 and Kafka

**Current Team:**
Our team consists of 1 BigData Engineer, 2 Python Backend Engineers, 3 UI Engineers, 1 Fullstack Engineer, 3 DevOps Engineers, and 2 Java Engineers. The team is expected to grow in the future.

**Why you should work with us:**
✓Collaborate with industry-leading client Apple on a project from scratch
✓Opportunity to make technical decisions and contribute to the development of a high-impact data lake
✓Work with a talented and diverse team of professionals in a dynamic environment
✓If you are passionate about building scalable data solutions and eager to work on an exciting project with Apple, we encourage you to apply. Join us in shaping the future of data infrastructure.

We look forward to hearing from you!