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Data Engineer

Джерело:
djinni.co
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Що робити

  • Stakeholder support: ad-hoc validation of figures, investigation of discrepancies between dashboards, ensuring availability of the BI platform.
  • Development and support of ETL/ELT pipelines for analytical reports (cohort revenue, LTV, retention, KPI by creatives, post-purchase analytics).
  • Support for attribution models (Web↔Mobile mapping, multi-locale cost-cohort resolve, last-click vs raw events).
  • Integrations with external sources: Meta Marketing API, AppsFlyer, AppMetrica, Stripe, Tableau Server (TSC), Birch.
  • Data quality assurance: schema/freshness/volume checks, broken-snapshot detection, anti-bot-traffic filtering.

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