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Dataforest

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Strong Junior Data Engineer

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Description

Dataforest is looking for a growth-oriented Data Engineer to join our friendly team. As a Data Engineer, you will solve engaging problems using cutting-edge technologies for data collection, processing, analysis, and monitoring.
If you aren't afraid of challenges, this position is just for you!

You'll be a great fit if you have:

  • 1+ years of experience as a Data Engineer;
  • Strong experience with Python;
  • Proven experience with Databricks and Datafactory;
  • Experience with AWS/Azure;
  • Experience building ETL / ELT pipelines;
  • Proficiency in SQL.

What you'll do:

  • Developing ETL/ELT pipelines and data management solutions;
  • Implementing data processing algorithms;
  • Writing and optimizing SQL queries for data extraction and analysis;
  • Analyzing data and applying processing algorithms to solve business problems.

We ensure your growth with:

  • Working with a high-skilled engineering team on engaging and complex projects;
  • Hands-on experience with the latest technologies;
  • Direct communication with international clients and challenging tasks;
  • Opportunities for personal and professional growth;
  • Competitive salary pegged to USD;
  • Paid vacation and sick leave;
  • Flexible working hours;
  • Friendly working atmosphere with zero bureaucracy;
  • Plenty of team traditions — corporate parties, team buildings, themed events, and much more!

Skills

What Junior Data Engineering jobs ask for — and how much of it you have →
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See also

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