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Data Engineer

Dropbox

82%
Remote - MexicoCTO-Data Science, AI Platform & Eng (Sub Team)
remoteΔημοσιεύτηκε πριν 2 εβδομάδεςCTO-Data ScienceAI Platform & Eng (Sub Team)

Περιγραφή Θέσης

Role Description

Dropbox is looking for a Data Engineer to join our Analytics Data Engineering (ADE) team within Data Science & AI Platform. In this role you will build large, scalable analytics pipelines using modern data technologies. This is not a “maintain existing platform” or “make minor tweaks to current code base” kind of role. We are effectively building from the ground up and plan to leverage the most recent Big Data technologies. If you enjoy building new things without being constrained by technical debt, this is the job for you!

Our Engineering Career Framework is viewable by anyone outside the company and describes what’s expected for our engineers at each of our career levels. Check out our blog post on this topic and more here.

Βασικές Αρμοδιότητες

Define company data assets (data model), Spark, SparkSQL jobs to populate data modelsDefine and design data integrations, data quality frameworks and design and evaluate open source/vendor tools for data lineageWork closely with Dropbox business units and engineering teams to develop strategy for long term Data Platform architecture to be efficient, reliable and scalable Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systemsCollaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful wayDesign, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domainsOptimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts

Απαιτήσεις & Προσόντα

7+ years of SQL experience 7+ years of experience with schema design, dimensional data modeling, and medallion architecturesExperience with Airflow or other similar orchestration frameworksExperience building data quality monitoring using MonteCarlo or similar tools

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