Snowflake Cortex Analyst
Job Title : Snowflake Cortex SPCS Data Engineer
Location : PAN India
Work Type : Hybrid
Experience - 3-8 Years
Notice Period: 90 Days
About ARA's Client – End-to-End Data Solutions Leader
ARA's Client is a global leader in end-to-end data and analytics solutions with nearly 20 years of experience. They enable customers to derive value from a variety of data-driven capabilities, operating with the scale of a global consulting firm while maintaining the expertise of a niche partner. The organization has a significant presence in India, with multiple offices across Tier 1 and Tier 2 cities including Bangalore, Chennai, and Pune. With over 1200 professionals globally, they focus on transforming customer journeys through data-driven modernization. ARA's Client is committed to innovation and continuous improvement, making them an attractive workplace for skilled professionals.
Role Summary
The ideal candidate will design, develop, and optimize cloud-native data solutions while contributing to the migration and modernization of data workloads in Snowflake. They will collaborate with architects, data engineers, and business stakeholders to build scalable and secure data ecosystems.
Key Responsibilities
- Build intelligent analytics interfaces using Snowflake Cortex Analyst.
- Create and maintain semantic models in YAML for text-to-SQL translation.
- Integrate RESTful APIs into chat interfaces and business tools.
- Ensure compliance with Snowflake’s RBAC and privacy standards.
- Continuously improve the accuracy and efficiency of AI-powered analytics workflows.
- Host Python applications and ML models against Snowflake data.
- Lead migration and modernization of existing AI solutions into the Snowflake ecosystem.
- Implement document intelligence capabilities using Snowflake Document AI.Must-Have Qualifications
- 3-8 years in data engineering or AI/ML analytics.
- Strong hands-on experience with Snowflake and Streamlit.
- Proficiency in Data Engineering, ETL/ELT, and Advanced SQL.
- Basic knowledge in Python for data engineering and API integration.
- Experience with RBAC, data governance, and secure data handling.Nice to Have
- Experience with Kubernetes and container orchestration.
- Knowledge of ML lifecycle management and MLOps practices.
- Experience building end-to-end GenAI applications.Behavioral Competencies
- Strong analytical and problem-solving mindset.
- Excellent communication and stakeholder management skills.
- Collaborative team player with a customer-focused approach.Why Join Us
- ARA's Client offers a dynamic work environment focused on innovation.
- They provide opportunities for professional growth and skill development.
- The organization values collaboration and teamwork.
- Employees can work on cutting-edge technology solutions.