Role Description

In this role you will build very large, scalable platforms using cutting edge 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 & 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!

Responsibilities

• Help define company data assets (data model), spark, sparkSQL & hiveSQL jobs to populate data models
• Conceptualize & own the data architecture for multiple large-scale projects, while evaluating design & operational cost-benefit tradeoffs within systems
• Create & contribute to frameworks that improve the efficacy of event logging data, while working with engineers to improve event logging completeness & data quality
• Implementing data quality monitoring & validation processes to ensure the accuracy, completeness, consistency, & reliability of data across the entire data lifecycle.
• Collaborate with engineers, product managers, & data scientists to understand data needs & representing key data insights in a meaningful way
• Design, build, & launch collections of sophisticated data models & visualizations that support multiple use cases across different products or domains
• Solve our most challenging data integration problems, utilizing optimal ETL patterns, frameworks, query techniques, sourcing from structured & unstructured data sources
• Determine & implement the security model based on privacy requirements, confirm safeguards are followed & evolve governance processes within allocated areas of ownership

Requirements

• Startup mentality with strong ownership to solve 0-1 problems with minimal guidance & being comfortable with ambiguities
• Excellent product strategic thinking & communications to influence product & cross-functional teams by identifying the data opportunities to drive impact
• BS degree in Computer Science or related technical field involving coding (e.g., physics or mathematics), or equivalent technical experience
• Experience designing, building & maintaining data processing systems
• Experience working with MPP system on any size/scale
• 3+ years of Python/Java/Scala development experience
• 5+ years of SQL experience (No-SQL experience is a plus) dimensional data modeling
• 3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Presto) & streaming technologies such as Kafka/Flink
• High tech experiences are preferred

Many teams at Dropbox run Services with on-call rotations, which entails being available for calls during both core & non-core business hours. If a team has an on-call rotation, all engineers on the team are expected to participate in the rotation as part of their employment. Applicants are encouraged to ask for more details of the rotations to which the applicant is applying.