We are seeking an experienced Lead Snowflake Data Engineer to join our data engineering team. The ideal candidate will be responsible for designing, developing and maintaining scalable data solutions using Snowflake's cloud data platform. This role requires expertise in contemporary data engineering practices, cloud technologies and AI/ML integration within the Snowflake ecosystem.

Responsibilities Design and implement robust data pipelines using Snowflake's native capabilities

Develop and optimize complex queries using Snow SQL and Snow PLSQL

Build scalable data applications with the Snowpark framework and Python

Deploy and manage Snowflake settings across AWS and Azure cloud platforms

Integrate Snowflake with various cloud services, data sources and governance frameworks

Optimize cloud resource utilization and cost management

Maintain data workflows using Apache Airflow and DBT for transformation pipelines





Ensure data quality, reliability and performance across all pipelines

Monitor and troubleshoot data pipeline issues

Leverage Snowflake Cortex AI for advanced analytics and machine learning use cases

Collaborate with data scientists to productionize ML models within Snowflake Requirements 8 to 15 years of experience in data engineering with a focus on cloud-based data platforms

4+ years of hands-on expertise in Snowflake including Snow SQL, Snow PLSQL and Snowpark

Proficiency in advanced Python programming for data engineering

Skills in AWS and/or Azure cloud services

Experience with Apache Airflow and DBT for workflow orchestration and data modeling

Familiarity with Snowflake Cortex AI's native AI and ML capabilities

📌 Lead Snowflake Data Engineer Pune
🏢 EPAM Systems
📍 Pune