Data Engineer

Polska

12000 - 24000 PLN

Poziom
Regular
Umowa
B2B
Wielkość firmy
1+
Pozostało
Zakończono
Stack technologiczny
Python:
Mile widziane
Docker:
Mile widziane
AWS:
Mile widziane
Kubernetes:
Mile widziane
numpy:
Mile widziane
pandas:
Mile widziane
SQL:
Mile widziane
gcp:
Mile widziane
apache:
Mile widziane
apachespark:
Mile widziane
Miasta
Zdalnie, Poznań
Opis

Project information:
  • Industry: Software Services for High-Tech Software House
  • Type of project: development of Software Solutions and Services for various industries
  • Office location: Poznań
  • Remote work: 100% remote possible
  • Budget: Mid: 600 – 900 PLN net + VAT/day on B2B and Senior: 950 - 1200 PLN net + VAT/day
  • Tech stack: Python (NumPy, Pandas), Docker, SQL, Cloud solutions (AWS or GCP), Dask, Kubernetes, Apache Spark
  • Methodology: Scrum/Agile
  • Start date: depending on candidate’s availability
Project scope:
  • Join the team developing various solutions and services such as computer vision, live video streaming, autonomous mobile robots, data science, deep learning and data engineering
  • Implementation of Big Data architecture in cloud environments
  • Preparing systems for higher traffic
  • Conducting data analysis
  • Automation of implementations using technologies such as Kubernetes
  • Working in Scrum
  • Work as a team, whenever possible and necessary, so the topic can be always discussed with someone outside the project
  • Have an influence on the choice of tools, technologies and technological solutions proposed to the client or used in our products
  •  Developers have a real impact on the product that we create together (we take every feedback on the workshop)
Requirements:
  • At least 3 years of experience in a similar position
  • Good knowledge of Python
  • Knowledge of numpy, pandas, docker
  • Knowledge of AWS or GCP
  • Experience in working with SQL, relational databases
  • Fluent English (at least B2)

Nice to have:
  • Knowledge of Scala/ Java
  • Knowledge of dask, modin, kubernetes, Apache Spark
  • Experience in working with column databases and key-value DBs
  • Knowledge of distributed systems

We offer:
  • Permanent cooperation based on a B2B contract with 20/26 days of paid leave
  • Flexible working hours, 100% remote work
  • Training and courses during working hours
  • Employee recommendation system
  • Equipment and accessories tailored to your preferences (MacBook by default)
  • Perks including Private medical care, Life insurance, MultiSport Card
  • 1-2 days a month for self-development - hackathons, courses, blog posts, meetings
  • "Best of" on which we share our knowledge
  • Focus on advanced projects to build high - quality solutions
  • External projects are our goal of acquiring skills that we collect to build our own products
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