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À propos
Architect and execute a new data model and storage architecture, implementing Medallion architecture for data quality refinement Own the accuracy and reliability of core business metrics, designing validation frameworks for consistent reporting Build production code and mentor a team of Data Engineers while driving technical alignment across departments
Required qualifications
10+ years of experience in data engineering and backend systems at scale with a proven track record of delivering production enterprise systems Hands-on proficiency with data technologies such as Snowflake, dbt, Airflow, Kafka, and real-time data processing Experience building "source of truth" systems and ensuring data accuracy through validation and reconciliation Familiarity with building data APIs and systems that support ML/AI applications Demonstrated ability to communicate complex technical concepts to senior stakeholders and cross-functional teams
Compétences linguistiques
- English
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