Beschreibung
Обязанности: Developing, testing, and maintaining parts of production data pipelines, services, and internal tooling with support from the team., Learning to work with BigQuery, Cloud Composer (Airflow), GCS, and other Google Cloud Platform services., Helping implement data ingestion, validation, data-quality checks, monitoring, alerts, and operational automation., Working with structured, semi-structured, and event data using formats such as Avro, Protobuf, Parquet, JSON, and CSV., Participating in code reviews, technical discussions, incident follow-ups, and documentation., Collaborating with engineers, analysts, and product stakeholders to understand how data products are used.
Опыт: Have commercial experience in Python, Java or Kotlin., Demonstrate basic ability to write clean, tested code and an eagerness to learn modern software engineering practices., Possess solid SQL fundamentals., Have a basic understanding of data modeling, relational databases, APIs, and common data formats (e.g., JSON, CSV, Avro, Parquet)., Are interested in cloud platforms, distributed systems, and data processing at scale., Can diagnose problems systematically, ask good questions, and learn actively from feedback., Speak English at a B2 level or higher., Personal, academic, or commercial projects involving data pipelines, backend services, cloud platforms, or SQL data warehouses., Familiarity with Docker, Git, CI/CD, Linux, or cloud infrastructure fundamentals., Exposure to DBT, Airflow, Apache
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