Data Engineer
- Джерело:
- djinni.co
Що робити
- Develop and maintain data processing pipelines using Apache Airflow, Scala Spark or PySpark.
- Select, model and optimize analytical databases for high-throughput, low-latency queries.
- Design and implement backend services and APIs for data ingestion, aggregation and client consumption.
- Monitor system performance and stability; diagnose and resolve production issues.
- Collaborate with product managers and engineers to plan and deliver complex features.
Що пропонуємо
- Production experience with large-scale databases and ETL tooling.
- Hands-on background in Go or Clojure backend services.
- Experience with production-grade BigQuery ETL and data pipelines.
- Contribution to open-source projects or public speaking at meetups/conferences.
- An “AI mindset” - familiarity with tools like GitHub Copilot and emerging AI workflows.
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