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Data Engineer

Posted 2024-11-07

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💎 Seniority level: Senior, 4+ years of relevant professional experience

📍 Location: Ukraine

🔍 Industry: Transportation and Data Analytics

⏳ Experience: 4+ years of relevant professional experience

🪄 Skills: PythonSQLBashETLAirflowData engineeringSpark

Requirements:
  • 4+ years of relevant professional experience.
  • Strong experience with Spark and SQL.
  • Experience with scripting languages like Python or Bash.
  • Familiarity with Hadoop ecosystem tools (S3, DynamoDB, MapReduce, etc.).
  • Experience building complex data models and pipelines.
  • 2+ years of experience with workflow management tools (Airflow or similar).
  • Nice to have: experience working with cross-functional analytics, data scientists, and engineering teams.
Responsibilities:
  • Own the core company data pipeline, responsible for scaling data processing flow.
  • Evolve data model and schema based on business and engineering needs.
  • Implement systems to track data quality and consistency.
  • Propose and develop tools for self-service data management.
  • Tune SQL and MapReduce jobs for performance improvement.
  • Drive tech roadmap aligned with team and stakeholders.
  • Write maintainable code considering infrastructure cost and scalability.
  • Participate in code reviews and on-call rotations.
  • Support communication with partners to achieve results.
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