Data Engineer
- Джерело:
- djinni.co
Що робити
- Develop and support data processing pipelines using Apache Airflow, Scala Spark, or PySpark.
- Select, design, and optimize analytical databases for high-volume, low-latency queries.
- Build backend services and APIs for data ingestion, aggregation, and customer-facing data consumption.
- Monitor system reliability and performance, investigate issues, and resolve production incidents.
- Partner with product managers and engineering teams to plan, design, and deliver complex features.
Що пропонуємо
- Production experience with large-scale databases and ETL tools.
- Hands-on experience with backend services written in Go or Clojure.
- Experience building production-grade BigQuery ETL processes and data pipelines.
- Contributions to open-source projects or experience speaking at meetups, conferences, or industry events.
- An AI-oriented mindset, including familiarity with tools such as GitHub Copilot and modern AI-assisted workflows.
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