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About This Role
Dropbox is seeking a Data Engineer to join the Analytics Data Engineering team, building large-scale analytics pipelines using modern data technologies. The role involves defining company data assets, designing data integrations, and working with various teams to develop a long-term data platform architecture. The ideal candidate has experience with Spark, SQL, and schema design, as well as excellent product strategic thinking and communication skills. This is a remote position with opportunities for growth and development.
Key ResponsibilitiesAI-extracted
- 1Define company data assets and design data integrations
- 2Design and evaluate open source and vendor tools for data lineage
- 3Work closely with business units and engineering teams to develop a long-term data platform architecture
- 4Conceptualize and own the data architecture for multiple large-scale projects
- 5Collaborate with engineers, product managers, and data scientists to understand data needs
- 6Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
RequirementsAI-extracted
- 5+ years of experience with Spark, Python, Java, C++, or Scala development
- 5+ years of SQL experience
- 5+ years of experience with schema design, dimensional data modeling, and medallion architectures
- Experience with the Databricks platform and data lake architectures
- BS degree in Computer Science or related technical field
- Excellent product strategic thinking and communications skills
Perks & BenefitsAI-extracted
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