Position: Python Data Engineer (S)
Company: Freelance
Category: Python
Experience required: 5y
English level: upper
Published: 2022-11-01T00:00:00+02:00

We provide access to global information about innovation, emerging companies, and technology.
5+ years of Big Data and Python;
2+ years of ElasticSearch, PostgreSQL, Docker, and Scrapy;
1+ years of Stream platforms, Kafka.
Remote, up to ~ 6,0к. Only candidates from Ukraine who are in Eastern Europe.

🔸 **About company**:
Our company empowers you to access the world’s information on innovation, emerging companies, and technologies.
We achieve this through our platform, covering over 2.5 million startups & scale ups globally. 
Our platform based on big data and artificial intelligence allows us to quickly and continuously identify new startups, scale companies, and technologies that are important to customers.
Some of our 1000+ corporate partners include Samsung, Nestlé, Lufthansa Cargo, KNAPP AG, Magna, CAF, Siemens Gamesa, Iberdrola, CARGOTECH, Bayer’s G4A, and Altair.

✅ **Responsibilities:**
- Lead the design and operation of scalable data systems to map the world's information on startups, scaleups, and technologies.

✅ **Skills:**
- 5+ years of work experience with big data/data engineering / DAG stateful-stream-processing / data pipelines;
- Strong practical knowledge of Python and its libraries;
- Experience with: Elasticsearch, PostgreSQL, Docker;
- Familiar with stream platforms, e.g. Kafka;
- Enjoy processing large, unstructured data sets from multiple sources;
- Profound understanding of software development principles;
- Good written and spoken English.

✅ **Company offers:**
- Work with the global innovation and startup intelligence leader;
- Join an environment where your decisions shape the future of the entire
organization;
- Work fully remote, with a strong distributed team that stay connected;
- Regular visits to our HQ and other company hot-spots;
- Enjoy 25 paid work-free days per year;
- Full-time remote position (40 hrs/week).