Podstawowe Informacje

Nazwa
Data Engineer - Life Science & Healthcare
Wymiar czasu pracy
Pełny wymiar czasu pracy
Miasto
Gdańsk, Katowice, Kraków, Łódź, Poznań, Rzeszów, Szczecin, Warszawa, Wrocław
Kraj
Polska
Dział
Consulting
Zespół
Deloitte Digital

Opis i wymagania

Opis zapotrzebowania

DATA ENGINEER

Do you speak SQL and Python/R? Do you use data to make decisions? Would you like to help transform and better use healthcare data that is of crucial importance to our everyday life? Would like to cooperate with the most important pharma and healthcare companies and entities in the world?

Do you find at least some of these keywords attractive? 

  • NoSQL
  • SQL
  • Python/R
  • Big data
  • Hadoop
  • Jupyter Notebook
  • Agile Manifesto
  • Research
  • Pathfinding
  • Linux
  • Docker
  • Cloud Services
  • Data mesh
  • Data lake
  • Helping people

If yes, please consider applying to a position of data engineer.  

Not-so-formal Requirements:

  • Master’s degree (preferred computer science, statistics, mathematics, econometrics, or any related field)
  • 3+ years of professional experience in dealing with various data bases and sources of data.
  • Advanced working SQL knowledge, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Practical knowledge of Python/R and SQL or other languages and tools. Knowledge of handling Big Data is a plus.
  • Basic experience in one or more cloud environments (AWS, Azure, GCP, IBM)
  • Familiarity with software development concepts and best practices (e.g. version

control, documentation, testing) would be a plus.

·       Strong business acumen and logical thinking capability, ability to come up with creative solutions to address customer problem

  • Experience dealing with information from insurance, healthcare or pharmaceutical is required
  • Passion to grow and learn
  • Team-player mindset
  • Good level of English