Lead Snowflake Data Engineer

EPAM Systems; Maharashtra; On-site; INR 4,500,000 - 8,000,000; Full time

Job summary

EPAM Systems in India is seeking an experienced Lead Snowflake Data Engineer to design, develop, and maintain scalable data solutions on Snowflake's cloud platform. You will harness Snowflake's native capabilities, Snowpark, and Python to build robust pipelines.

The role requires hands-on Snowflake expertise, cloud proficiency (AWS/Azure), and experience with Airflow and DBT to orchestrate workflows, optimize costs, ensure data quality, and collaborate with data scientists on ML models.

Qualifications

• 8–15 years of data engineering experience focusing on cloud-based platforms.
• 4+ years hands-on Snowflake experience including Snow SQL, Snow PLSQL, Snowpark.

Responsibilities

• Design and implement robust data pipelines using Snowflake native capabilities.
• Develop and optimize complex queries with Snow SQL and Snow PLSQL.
• Build scalable data apps with Snowpark and Python.
• Deploy and manage Snowflake environments across AWS/Azure.

Skills

Snowflake expertise

Python

Snowpark

Airflow

DBT

Cloud platforms (AWS/Azure)

Snow SQL

AI/ML integration

Tools

Snowflake

Airflow

DBT

Snowpark

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