
1001 - 5000 employees
Founded 2007
đŒ Consulting
đ Manufacturing
đŠ Logistics
Consulting âą Manufacturing âą Logistics
Dropbox is a cloud-based service that provides tools for storing, sharing, and accessing files across devices. It offers features such as document sharing, video review, automatic backups, and AI-driven scheduling. Dropbox also provides solutions for different sectors like teams, sales, marketing, and education, and industries including construction, media, technology, and manufacturing. With a focus on security, Dropbox ensures files are encrypted and protected against tampering. It offers integrations with various productivity tools and is trusted by major companies for efficient file management and collaboration.
đ„ 14 minutes ago
đšđŠ Canada â Remote
đ” $101.2k - $136.9k / year
â° Full Time
đą Junior
đĄ Mid-level
đ° Data Engineer
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1001 - 5000 employees
Founded 2007
đŒ Consulting
đ Manufacturing
đŠ Logistics
Consulting âą Manufacturing âą Logistics
Dropbox is a cloud-based service that provides tools for storing, sharing, and accessing files across devices. It offers features such as document sharing, video review, automatic backups, and AI-driven scheduling. Dropbox also provides solutions for different sectors like teams, sales, marketing, and education, and industries including construction, media, technology, and manufacturing. With a focus on security, Dropbox ensures files are encrypted and protected against tampering. It offers integrations with various productivity tools and is trusted by major companies for efficient file management and collaboration.
âą Build and maintain Spark and SparkSQL jobs that populate company data models âą Own well-scoped pipelines end to end, from requirements through deployment, monitoring, and iteration âą Contribute to data quality frameworks, testing, and data lineage instrumentation âą Partner with data scientists, analysts, product managers, and engineers to turn data needs into durable models âą Extend datamarts and data models supporting recurring reporting and analysis across products âą Improve the reliability and cost efficiency of existing pipelines, dashboards, and frameworks âą Participate in a business-hours on-call rotation and help improve runbooks and alerting âą Build and operate pipelines and data models supporting Dropbox product and business analytics
âą 2+ years of development experience in Spark, Python, Java, C++, or Scala âą 2+ years of SQL experience, including query performance tuning âą 2+ years of experience with schema design and dimensional data modeling âą Experience building and maintaining production data pipelines that others depend on âą Working exposure to a cloud data lake or lakehouse platform; Databricks preferred âą Clear written and verbal communication with non-engineering partners, and a track record of asking for help and feedback early âą BS in Computer Science or a related technical field involving coding, or equivalent technical experience âą Participation in a business-hours on-call rotation as part of employment âą Preferred: 4+ years of SQL experience; medallion architectures and incremental data modeling; Airflow or similar orchestration framework; Monte Carlo or similar data quality monitoring tools; streaming architectures including Kafka, Kinesis, or Structured Streaming
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