Business Intelligence Engineer on Finance Team designing and implementing datasets for key business metrics at Snap. Collaborating with Engineering, Finance, and Operations teams to improve decision quality.
Responsibilities
Work closely with stakeholders in Engineering, Finance, Operations and other teams to design, implement and support key datasets that provide timely access to key business metrics
Partner with non-technical customers to capture business needs and condense them into technical requirements for metrics or analytics based projects
Deliver projects/data-pipelines that allow non-technical end-customers to self-serve
Orchestrate ETL Pipelines using Airflow and a combination of BigQuery and Spark
Deliver performant reporting datasets consumed through our visualization portals
Build reporting tools to facilitate consumption consistency across teams
Requirements
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), Python preferred
Hands-on experience with Google BigQuery
Experience using and sharing notebook solutions like Jupyter
Experience in version control systems such as Git
Data architecture and warehousing experience
Experience with Airflow
Experience in ETL / Data application development
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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