Tasks:

Software Engineer will be responsible for the hands-on coding and development required to transform core industry pain points into fully functional, easily deployable solutions. The resulting accelerators must be sophisticated and realistic to address complex challenges that current industry systems struggle to handle. This role prioritizes the construction of robust, efficient, and scalable data pipelines and applications.

Key Responsibilities:

Solution Development: Act as a hands-on developer to build production-ready solution accelerators, ensuring the codebase is reusable and adaptable for customer needs.

Performance Optimization: Implement pipelines aimed at reducing latency, particularly transitioning micro-batch processing to a streaming architecture. This may involve leveraging Snowpark, SQL or Snowpipe Streaming.

Documentation & Assets: Provide a comprehensive set of assets, including the GitHub code, architecture diagram and technical documentation, to enable field teams and partners (like system integrators) to run implementations and pilots.

Required Technical Skills and Platform Expertise:

The candidate must demonstrate deep expertise in leveraging the following aspects of the Snowflake platform:

Real-time/Streaming Ingestion: Experience with Snowpipe Streaming to ingest high-volume telematics data streams for lowest latency.

Application Hosting: Experience utilizing Snowpark Container Services (SPCS) to containerize services, such as implementing cost-effective, open- source routing engines.

Visualization: Expertise in building front-end applications and dashboards using Streamlit to provide an actionable view of operations, including heatmaps, alerts, and KPI feeds.

Data Science and Machine Learning: Working knowledge of applying ML models for modeling and analysis on top of the data.

Advanced Analytics (nice to have): Mastery of Time-Series functions and Geospatial analytics, including H3 hexagons.