Role overview

Data Engineer (SQL + Python)

Requirements and responsibilities

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Details

  • Implementation, and documentation of MBS loan data and securitized products data to be leveraged for research, model calibration, model execution, and interactive applications.
  • 5+ years of industry experience in designing, developing and maintaining data delivery systems that drive core business functions including dynamic reporting, interactive applications, machine learning, and research;
  • Expertise with cloud database systems and distributed data processing frameworks including Amazon Redshift, DynamoDB;
  • Working experience with SQL;
  • Knowledge of Python;
  • A Bachelor’s, Master’s, or Ph.D. in Computer Science or equivalent.
  • “Family and Friends”. We are no longer a start-up, but still, have a family atmosphere in our supportive and spirited team, who are all working together on the same goal.
  • “Just break down all barriers and find a better way”. Every day you’ll meet with interesting and challenging (international) projects that are covering industries from commercial aviation to fintech (different technologies, different products).
  • “Hungry for learning”. You will get a lot of chances for career advancement and the development of new skills, opportunities for mentorship, or learning from more experienced colleagues.
  • You’ll work in a supportive and spirited team of professionals.
  • Corporate events, holidays and team buildings for your joy.
  • Training and development: we have a huge library (about 500 books!) and a budget for your professional development.
  • English classes.
  • Сoverage of sports activities.
  • People-oriented management without bureaucracy.
  • Paid vacation and sick leaves.
  • Relocation program: if you are from another city and want to move to Kyiv, we will be happy to help you!
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Browse stack
FocusData EngineeringRole area
Seniority signalSeniorCandidate level
StackPython, SQLPrimary skills
Location43 accepted countriesEligibility

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