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Senior/Lead Data Engineer

Рівень:
senior
Джерело:
djinni.co
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Що робити

  • Maintain, troubleshoot, and improve existing data pipelines, and build new pipelines and datasets based on analytics and business requirements.
  • Design and maintain analytical data models, including fact and dimension models.
  • Ingest and integrate data from different source systems into the AWS Data Lake.
  • Build, deploy, validate, monitor, and, when necessary, backfill data pipelines.
  • Partner with data analysts to understand their requirements and provide reliable, easy-to-use datasets.

Що очікуємо

  • Hands-on data engineering experience building and operating production data pipelines, ideally within analytics-driven environments.
  • Strong SQL skills.
  • Experience with data modeling for analytics, including fact and dimension tables.
  • Experience with workflow orchestration, preferably Airflow.
  • Experience working with AWS-based data environments, particularly Athena and AWS Data Lake.

Що пропонуємо

  • Experience with data mesh architectures or working in a data mesh environment.
  • Experience with marketplace, web/app, or digital analytics data.
  • Experience with DBT and/or Snowflake.
  • Familiarity with AI-assisted engineering tools such as Codex

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