Data Engineer- Snowflake Cortex- SPCS

Infocepts.AI · Remote

Source and collection record

Last observed by our collector: 9 October 2026 at 1:46 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 47895

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

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Collected role description

Position: Data Engineer-Snowflake Cortex-SPCS Purpose of the Position: We are seeking a Snowflake Cortex, SPCS Data Engineer with expertise Cortex Agents, Semantic Modelling to support enterprise-scale data platform initiatives. The role involves designing, developing, and optimising cloud-native data solutions, while contributing to the migration and modernisation of data workloads in Snowflake. The individual will work closely with architects, data engineers, DevOps teams, and business stakeholders to build scalable, secure, and high-performing data ecosystems that support analytics, AI and business intelligence needs. Type of Employment: Full-time Key Result Areas and Activities: Conversational Analytics Development: Build intelligent analytics interfaces using Snowflake Cortex Analyst. Semantic Modelling: Create and maintain semantic models in YAML to support accurate text-to-SQL translation. API Integration: Integrate RESTful APIs into chat interfaces and business tools like Slack, Teams, and custom apps. Data Governance & Security: Ensure compliance with Snowflake’s RBAC and privacy standards across all solutions. Performance Optimization: Continuously improve the accuracy and efficiency of AI-powered analytics workflows. Host Python application, ML model, Streamlit app, or API against Snowflake data within the Snowflake ecosystem providing better security, governance, and reduced data movement

Collected experience requirement

2 to 10 years