Lead Snowflake Data Engineer

Epam Systems; Chennai District, Coimbatore District; On-site; INR 3,500,000 - 6,000,000; Full time

Job summary

Epam Systems is seeking an experienced Lead Snowflake Data Engineer to design, develop, and maintain scalable data solutions on Snowflake across cloud platforms. The role requires strong cloud data engineering expertise, Snowflake proficiency, and ML integration within the Snowflake ecosystem.

The ideal candidate will design robust data pipelines, optimize queries with Snow SQL/PLSQL, and collaborate with data scientists to productionize ML models using Snowflake Cortex AI.

Qualifications

• 8–15 years of experience in data engineering on cloud platforms.
• 4+ years hands-on Snowflake experience including Snow SQL, Snow PLSQL and Snowpark.
• Proficient Python for data engineering tasks and orchestration.
• Experience with AWS and/or Azure cloud services.

Responsibilities

• Design and implement robust data pipelines using Snowflake native capabilities.
• Develop and optimize complex queries with Snow SQL/PLSQL and Snowpark.
• Build scalable data applications with Snowpark and Python.
• Deploy and manage Snowflake environments across AWS/Azure.
• Integrate Snowflake with cloud services, data sources and governance.
• Optimize cloud resource usage and cost management.
• Maintain Airflow/DBT workflows for transformations.
• Ensure data quality, reliability and performance across pipelines.
• Monitor and troubleshoot data pipelines.
• Leverage Snowflake Cortex AI for advanced analytics and ML use cases.
• Collaborate with data scientists to productionize ML models in Snowflake.

Skills

Snowflake

Snow SQL

Snow PLSQL

Snowpark

Python for data eng

Airflow

DBT

AWS

Azure

Data pipelines design

Data modeling

Tools

Snowpark

Airflow

DBT

Job description

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 modern 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 environments 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