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About This Role
Reddit is seeking an Analytics Engineer to work on the Consumer Data Science team, focusing on developing and deploying data and analytic tooling to drive the company's product forward. The ideal candidate has a strong track record of understanding the purpose of data to support business goals and can act as an effective conduit between Data Producers and Data Consumers. The role involves working closely with Data Scientists and cross-functional teams to curate, develop, and deploy data and analytic tooling. The candidate should have a degree in a quantitative discipline and 4+ years of experience working with large-scale ETL systems.
Key ResponsibilitiesAI-extracted
- 1Be an Analytics Engineering leader within the Consumer organization and a key contributor to the success of Data Science data quality, performance, reliability, and automation initiatives.
- 2Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation.
- 3Create user-friendly tools and applications for internal use across Data Science and cross-functional teams, streamlining data analysis and reporting processes.
- 4Lead transformational efforts to build a data-driven culture at Reddit by enabling data self-service.
- 5Provide technical guidance, mentorship, coaching, and/or training to data scientists and other technical partners.
RequirementsAI-extracted
- Degree in a quantitative discipline such as statistics, operations research, computer science, applied mathematics, economics, or physics.
- 4+ years of experience working with large-scale ETL systems, building clean, maintainable code and systems in a production environment.
- Strong programming proficiency in Python, SQL, Spark, Scala, etc.
- Experience with data modeling, ETL and ELT concepts, and patterns for efficient data governance.
- Proven track record of cross-functional execution and collaboration.
Perks & BenefitsAI-extracted
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