Data Engineer

About the role

Join Dropbox as a Data Engineer and help build large, scalable analytics pipelines using modern data technologies. This role involves defining company data assets, designing data integrations, and collaborating with various teams to develop a long-term data platform architecture. You will also optimize pipelines, dashboards, and systems to facilitate easier development of data artifacts. The position offers a range of benefits, including medical coverage, a 401K retirement plan, paid time off, and more. Key missions: Construire des pipelines d'analyse évolutifs en utilisant des technologies de données modernes.. Définir et concevoir des intégrations de données, des cadres de qualité des données et évaluer les outils pour la traçabilité des données.. Collaborer avec les équipes d'ingénierie et de gestion de produits pour comprendre les besoins en données et représenter les insights clés. Profile: - BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience - 5+ years of Spark, Python, Java, C++, or Scala development experience - Experience designing, building and maintaining data processing systems - Excellent product strategic thinking and communications to influence product and cross-functional teams by identifying the data opportunities to drive impact - Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics - 5+ years of experience with schema design, dimensional data modeling, and medallion architectures - 5+ years of SQL experience - 7+ years of SQL experience - 7+ years of experience with schema design, dimensional data modeling, and medallion architectures - Experience with Airflow or other similar orchestration frameworks - Experience building data quality monitoring using MonteCarlo or similar tools