Junior+/Mid Data Engineer

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Descrizione

Обязанности: Designing, building, and maintaining enterprise-level data pipelines on Azure and Databricks., Developing data processing logic in Python (including PySpark)., Ensuring data quality, reliability, and performance of data workflows., Optimizing pipelines for performance and cost efficiency., Translating business requirements into well-structured technical tasks and delivering them end-to-end., Writing clean, tested, and well-documented code and participating in code reviews., Collaborating with team members and stakeholders to solve data challenges. Опыт: At least 1.5 years of commercial experience in data engineering., Strong Python skills for data processing., Hands-on experience with Databricks., Experience working with Azure., Experience building enterprise-level data pipelines., Good SQL skills., Drive and a proactive approach: you take initiative and push things forward., Strong problem-solving skills., Fluent English communication, able to collaborate effectively across international teams., Experience with agentic AI, AI agents, or LLM-based solutions., Knowledge of Apache Spark / PySpark optimization., Familiarity with Lakehouse architecture, Delta Lake, or Unity Catalog., Experience with orchestration tools (e.g. Azure Data Factory, Databricks Workflows, Apache Airflow)., Experience with CI/CD pipelines (Azure DevOps or GitHub Actions).

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