Data Engineer III at Simplot utilizing advanced data engineering principles and cloud data tools. Collaborating in a team to support data solutions for food and agriculture industry.
About the role
- 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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