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Data Engineer

 
Key job responsibilities
  • Work with engineering and business stakeholders to understand data requirements
  • Lead the design, model, and implementation of structured datasets
  • Evaluate and implement efficient distributed storage and query techniques
  • Interact and integrate with internal and external teams and systems to extract, transform, and load data from a wide variety of sources
  • Implement robust and maintainable code with clear and maintained documentation
 
Basic qualifications:
  • Degree in Computer Science, Engineering, Mathematics, or a related field
  • 3+ years industry experience
  • Experience in data modelling, data warehousing and building ETL pipelines
  • SQL Ninja skills
 
Preferred qualifications
  • Industry experience as a Data Engineer or related specialty (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets
  • Coding proficiency in at least one modern programming language (Python, Scala, Java etc.)
  • 2+ years of designing ETL/ELT workflows and proficiency in scripting (writing complex SQL with PostgreSQL, Redshift or other RDB)
  • A desire to work in a collaborative, intellectually curious environment
 

Benefits

☝️ A chance to work with one of the strongest Data Science team
💻 The newest equipment if you need it
📌 Courses, conferences, other self-development activities upon request
🏄 Cool team buildings in Ukraine and in Portugal
🌴 Paid 18 days off (can be negotiable)
👨‍💻 Fully remote work or hybrid
🌱 Equity