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About This Role
Dropbox is seeking a Data Engineer to build large, scalable analytics pipelines using modern data technologies, leveraging recent Big Data technologies to create a data platform architecture.
Key ResponsibilitiesAI-extracted
- 1Define company data assets (data model), Spark, and SparkSQL jobs to populate data models.
- 2Design and develop data integrations, data quality frameworks, and evaluate open source/vendor tools for data lineage.
- 3Collaborate with engineers, product managers, and data scientists to understand data needs and represent key data insights in a meaningful way.
- 4Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains.
- 5Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.
- 6Conceptualize and own the data architecture for multiple large-scale projects, evaluating design and operational cost-benefit tradeoffs within systems.
RequirementsAI-extracted
- 5+ years of experience with Spark, Python, Java, C++, or Scala development.
- 5+ years of SQL experience.
- Experience with schema design, dimensional data modeling, and medallion architectures.
- Experience with the Databricks platform and data lake architectures for large-scale data processing and analytics.
- Excellent product strategic thinking and communications to influence product and cross-functional teams.
Perks & BenefitsAI-extracted
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