Job Title: Snowflake Engineer (Cortex & AI Capabilities)
Location: India (Remote)
Experience: 7 Years
Job Summary
We are looking for an experienced Snowflake Engineer with strong expertise in Snowflake data platform and Snowflake Cortex (AI/ML capabilities). The ideal candidate will play a key role in building scalable data solutions enabling advanced analytics and leveraging AI-driven insights within the Snowflake ecosystem.
Key Responsibilities
- Design develop and maintain scalable data pipelines using Snowflake
- Implement and optimize data models (Star/Snowflake schema) for analytics and reporting
- Work with Snowflake Cortex to build AI/ML-powered data solutions and intelligent applications
- Develop and manage ELT/ETL processes using tools like dbt Airflow or similar
- Optimize Snowflake performance cost and query efficiency
- Integrate Snowflake with various data sources (APIs streaming structured/unstructured data)
- Collaborate with data scientists analysts and business stakeholders to deliver data-driven solutions
- Ensure data governance security and compliance best practices
- Troubleshoot and resolve data-related issues in a timely manner
Required Skills & Experience
- 7 years of experience in data engineering or related roles
- Strong hands-on experience with Snowflake (architecture data modeling performance tuning)
- Experience working with Snowflake Cortex / AI features (LLMs semantic search etc.)
- Proficiency in SQL and Python
- Experience with ETL/ELT tools like dbt Informatica Airflow or similar
- Good understanding of cloud platforms (AWS / Azure / GCP)
- Experience with data warehousing concepts and big data technologies
- Familiarity with REST APIs and data integration techniques
Good to Have
- Experience with Snowpark (Python/Scala/Java)
- Knowledge of Generative AI use cases within data platforms
- Exposure to data governance tools and frameworks
- Experience with real-time/streaming data pipelines (Kafka etc.)
- Snowflake certifications
Job Title: Snowflake Engineer (Cortex & AI Capabilities)Location: India (Remote)Experience: 7 Years Job Summary We are looking for an experienced Snowflake Engineer with strong expertise in Snowflake data platform and Snowflake Cortex (AI/ML capabilities). The ideal candidate will play a key role in...
Job Title: Snowflake Engineer (Cortex & AI Capabilities)
Location: India (Remote)
Experience: 7 Years
Job Summary
We are looking for an experienced Snowflake Engineer with strong expertise in Snowflake data platform and Snowflake Cortex (AI/ML capabilities). The ideal candidate will play a key role in building scalable data solutions enabling advanced analytics and leveraging AI-driven insights within the Snowflake ecosystem.
Key Responsibilities
- Design develop and maintain scalable data pipelines using Snowflake
- Implement and optimize data models (Star/Snowflake schema) for analytics and reporting
- Work with Snowflake Cortex to build AI/ML-powered data solutions and intelligent applications
- Develop and manage ELT/ETL processes using tools like dbt Airflow or similar
- Optimize Snowflake performance cost and query efficiency
- Integrate Snowflake with various data sources (APIs streaming structured/unstructured data)
- Collaborate with data scientists analysts and business stakeholders to deliver data-driven solutions
- Ensure data governance security and compliance best practices
- Troubleshoot and resolve data-related issues in a timely manner
Required Skills & Experience
- 7 years of experience in data engineering or related roles
- Strong hands-on experience with Snowflake (architecture data modeling performance tuning)
- Experience working with Snowflake Cortex / AI features (LLMs semantic search etc.)
- Proficiency in SQL and Python
- Experience with ETL/ELT tools like dbt Informatica Airflow or similar
- Good understanding of cloud platforms (AWS / Azure / GCP)
- Experience with data warehousing concepts and big data technologies
- Familiarity with REST APIs and data integration techniques
Good to Have
- Experience with Snowpark (Python/Scala/Java)
- Knowledge of Generative AI use cases within data platforms
- Exposure to data governance tools and frameworks
- Experience with real-time/streaming data pipelines (Kafka etc.)
- Snowflake certifications
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