Trainee Data Engineer

6 Days ago • All levels • Data Analyst

Job Summary

Job Description

We are seeking a Trainee Data Engineer in Lviv to support existing Big Data solutions, develop ad-hoc reports, create ETL/ELT pipelines and data management solutions, and monitor system performance. Responsibilities include preparing data for reports, adding features to an AWS-based Big Data solution, and working with large, complex datasets from various sources. The ideal candidate will possess strong data analysis, SQL, and Python skills, with familiarity with pandas and Big Data technologies (Hadoop, PySpark, Hive, Airflow) being advantageous. Intermediate English proficiency is required.
Must have:
  • Strong data analysis skills
  • Good SQL skills
  • Strong Python skills
  • Bash commands and scripting
  • Intermediate English
Good to have:
  • Hadoop
  • PySpark
  • Hive
  • Airflow
  • Pandas
Perks:
  • Flexible working format
  • Competitive salary
  • Personalized career growth
  • Professional development tools
  • Education reimbursement
  • Corporate events

Job Details

We are looking for a Trainee Data Engineer (Lviv location only) for our client - a US company that is specialized in delivering reliable Internet connectivity and entertainment multimedia to aircrafts for USA, enhancing the experience for both passengers and crew.

Responsibilities:

  • Support of existed Big Data solutions
  • Develop Ad-Hoc reports, prepare data for reports
  • Create ETL/ELT pipelines and data management solutions
  • Monitoring existed solution and cluster performance and health.
  • Add features to AWS based Big Data solution

Qualifications:

  • Bachelor’s degree or equivalent
  • Strong data analysis skills - ability to identify, analyze and integrate various large complex data sources
  • A passion for working with huge data sets
  • Good SQL skills, general understanding of RDBMS (we have a lot of different data sources)
  • Strong Python skills, familiarity with the pandas tool is also a big plus.
  • Bash Commands and Scripting
  • Good to know Big Data technologies such as Hadoop, PySpark, Hive, and Airflow.
  • At least Intermediate Strong English level 

 

We offer:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits

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