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Senior Data Engineer

Рівень:
senior
Джерело:
djinni.co
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Що робити

  • Design, build, and maintain scalable data pipelines and cloud-based data infrastructure in AWS.
  • Build systems capable of processing and analyzing petabytes of data in distributed production environments.
  • Own and evolve the analytical data warehouse on ClickHouse — schema design, ingestion pipelines from Kafka/Kinesis/S3, materialized views, query performance, and cost control at large scale.
  • Develop real-time stream processing solutions using Kafka, Kinesis, and Spark.
  • Design and manage distributed messaging and queue-based systems (SQS, RabbitMQ, etc.).

Що очікуємо

  • 4+ years of experience in Data Engineering, preferably in start-up companies.
  • Hands-on experience with ClickHouse (or comparable columnar OLAP engine)
  • Hands-on experience with stream processing technologies (Kafka, Kinesis, Spark).
  • Hands-on experience with queues and messaging systems (SQS, RabbitMQ, etc.).
  • Strong SQL knowledge and experience designing and optimizing complex queries and data models – mandatory.

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