About the position
Designs, develops, troubleshoots, and debugs moderately complex software applications for enhancements and new products. Performs coding, configuration, debugging, testing, and troubleshooting throughout the application development process.
Responsibilities
- Collaborates with the Product Manager to execute the defined product vision, roadmap, and priorities.
- Refines and manages the product backlog, ensuring alignment with business objectives and stakeholder needs.
- Writes clear and concise user stories with acceptance criteria, ensuring backlog items are well-groomed and ready for development.
- Acts as a liaison between business and technical teams, ensuring clear communication and shared understanding.
- Facilitates Agile ceremonies, including sprint planning, daily stand-ups, sprint reviews, and retrospectives.
- Monitors sprint progress, tracks key performance metrics, and communicates updates to stakeholders.
- Ensures adherence to Agile best practices to drive team efficiency and continuous improvement.
- Advocates for customer needs by integrating feedback into product development and prioritization.
Requirements
- Bachelor’s degree in business administration or a related field.
- 2+ years of experience analyzing Agile metrics such as velocity, cycle time, and burndown charts to assess team performance.
- 1+ years of experience in wholesale distribution or supply chain management.
- Certified Scrum Master (CSM), Product Owner (CSPO), or equivalent certification.
- Experience collaborating with UX teams or knowledge of user-centered design principles.
- Understanding of Snowflake Architecture.
- Familiarity with concepts like virtual warehouses, Snowpipe, data sharing, and external tables.
- Comfort with dimensional models, normalization, denormalization, and data pipelines.
- Experience working with tools like Tableau or Power BI integrated with Snowflake.
Nice-to-haves
- SQL Proficiency - Ability to query datasets and validate features independently.
- Familiarity with DataOps & CI/CD Pipelines, especially if Snowflake is part of a larger automated stack.
- Experience with Data Products or APIs exposing data as a service internally or externally.
