Senior Data Engineer at Red Hat designing and optimizing 데이터 솔루션 supporting sales and forecasting. Collaborating with teams and applying modern data engineering practices to ensure data quality.
About the role
- Data Engineer responsible for building data pipelines and improving data quality at Snap Inc. Collaborating with stakeholders across various functions to ensure timely dataset availability.
Responsibilities
- Work closely with stakeholders in engineering, finance, sales, marketing, strategy, and governance to make high quality datasets available to consumers in a timely manner
- Develop data pipelines adhering with privacy and governance principles
- Become familiar with our data consumption portals and their capabilities
- Build expertise and ownership of data quality for supported domains
- Build tooling and implement systems to overcome limitations of the data consumption portals when appropriate
- Drive adoption of the data sets you’ve produced
Requirements
- 3+ years of experience in building data pipelines to serve reporting needs
- Experience owning all or part of a team roadmap
- Ability to prioritize requests from multiple stakeholders in disparate domains
- Ability to effectively communicate complex projects to non-technical stakeholders
- BS/BA degree in Computer Science, Math, Physics, or a related field, or equivalent years of experience in a relevant field
- 3+ year experience in SQL or similar languages
- 3+ years development experience in at least one object-oriented or scripting language (Python, Java, Scala, etc)
Benefits
- paid parental leave
- comprehensive medical coverage
- emotional and mental health support programs
- compensation packages that let you share in Snap’s long-term success
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