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Python Data Engineer

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djinni.co
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Що робити

  • Design, build, and maintain ETL/ELT pipelines to collect, process end-to-end, and store financial data
  • Write optimized, efficient code to process and analyze financial data
  • Design and evolve the database schema; write and tune queries
  • Build and maintain integrations with external data sources and APIs (market data feeds, vendor APIs, cloud storage)
  • Identify and resolve performance bottlenecks

Що очікуємо

  • 1–2+ years designing and maintaining data pipelines, databases (SQL / PostgreSQL), and ETL processes
  • Python with Pandas / NumPy and Git
  • Comfortable working with cloud object storage — AWS S3 or GCP Cloud Storage (GCS)
  • A solid understanding of or interest in financial data, instruments, and markets
  • Intermediate English

Що пропонуємо

  • Workflow orchestration: Airflow, Dagster, or Prefect
  • Columnar / interchange formats: Parquet, Arrow, DuckDB
  • Streaming or real-time feeds: Kafka, WebSocket market data
  • Financial protocols / vendor APIs: FIX, Polygon, Refinitiv, Bloomberg
  • Time-series databases: TimescaleDB, ClickHouse

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