Supplier.io is looking to grow its data engineering team to support its projected growth by automating and modernizing its data systems and processes.
Requirements
- Experience designing, building, and supporting Snowflake based solutions.
- Experience designing and implementing large-scale data solutions in a cloud environment.
- Expertise in data modeling, ETL processes, and data warehousing principles.
- Familiarity with orchestration tools (e.g., Airflow) and transformation frameworks (e.g., dbt).
- Experience working in an agile environment.
- Experience with Snowflake, Python, and SQL.
- Experience with ticketing systems (e.g., Jira)
Responsibilities
- Help execute our cohesive data strategy that aligns with company objectives.
- Design, build and maintain our scalable and reliable data infrastructure that supports our advanced data platform.
- Explore and integrate new technologies and methodologies to enhance data processing, storage, and analysis capabilities.
- Drive continuous improvement and optimization of data systems.
- Work in a Snowflake-centric cloud environment, utilizing Azure DevOps for CI/CD and version control, and Jira for project management.
- Partner with our infrastructure team to support databases and services according to best practice and industry standards.
- Create and maintain technical documentation including runbooks, environment and application diagrams, data flow maps, security, etc.
Other
- Bachelor of Computer Science, Management Information System, Engineering, Data Science, or related field.
- 4+ years of experience in data engineering.
- The ability to effectively communicate with technical and non-technical teams is a must.
- Ability to troubleshoot complex technical issues.
- Results-oriented focus
