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 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.
Responsibilities
- Help define company data assets (data model), spark, sparkSQL and hiveSQL jobs to populate data models
- Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
- Create and contribute to frameworks that improve the efficacy of event logging data, while working with engineers to improve event logging completeness and data quality
- Implementing data quality monitoring and validation processes to ensure the accuracy, completeness, consistency, and reliability of data across the entire data lifecycle.
- Collaborate with engineers, product managers, and data scientists to understand data needs and representing key data insights in a meaningful way
- Design, build, and launch collections of sophisticated data models and 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 and unstructured data sources
- Determine and implement the security model based on privacy requirements, confirm safeguards are followed and evolve governance processes within allocated areas of ownership
Requirements
- Startup mentality with strong ownership to solve 0-1 problems with minimal guidance and being comfortable with ambiguities
- Excellent product strategic thinking and communications to influence product and 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 and 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) and streaming technologies such as Kafka/Flink
- High tech experiences are preferred
- Startup mentality with strong ownership to solve 0-1 problems with minimal guidance
- Strong product sense; understands how data contributes to overall product success.
- B2B high tech experience
Total Rewards
Dropbox applies increased tax deductible costs (50%) to remuneration earned by certain qualifying employees (to the extent an employee will be involved in the creation of the software as an “author”) for the transfer of copyrights, in accordance with the relevant provisions of the Personal Income Tax Act.
Poland Pay Range
176 800 zł—239 200 zł PLN
What the Team is Saying
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What We Do
We're a global community of bold visionaries and resourceful doers who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the flexibility of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With our start-up mindset and enterprise-level opportunities, you can be who you are and grow into who you’re meant to be. Here, you can own your impact to make work more intuitive, joyful, and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself—Dropbox is ready for you.
Why Work With Us
We believe people do their best work when empowered with autonomy and harmony, and we understand there’s no substitute for human connection. Our Virtual First model combines the flexibility of remote work with the power of in-person collaboration to create the best of both worlds: a distributed workplace, anchored in community.
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Employees work remotely.
While remote work is the primary experience for our employees, we also prioritize opportunities for quarterly in-person collaboration knowing that connection is vital to a thriving workforce. We focus on how we work, not where we work.
