Senior Snowflake Data Engineer

EPAM Systems

We are seeking an experienced Senior Snowflake Data Engineer to join our data engineering team and drive the design, development and maintenance of 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 using the Snowpark framework
Deploy and manage Snowflake environments on AWS and Azure cloud platforms
Integrate Snowflake with various cloud services and data sources
Establish security best practices and data governance frameworks
Optimize cloud resource utilization and cost management
Maintain data workflows using Apache Airflow
Create data transformation pipelines using DBT
Monitor data quality, reliability and performance across pipelines
Leverage Snowflake Cortex AI for advanced analytics and machine learning use cases
Collaborate with data scientists to productionize ML models

Requirements

5 to 8 years of experience in data engineering including 4+ years of hands-on experience with Snowflake
Proficiency in Snow SQL, Snow PLSQL and Snowpark for query development, stored procedures and Python-based data applications
Advanced skills in Python programming with a focus on data engineering
Proficiency in AWS and/or Azure cloud services
Familiarity with Apache Airflow for workflow orchestration and DBT for data transformation and modeling
Background in Snowflake Cortex AI for native AI and ML capabilities