Senior Snowflake Data Engineer

EPAM Systems; India; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

EPAM Systems is seeking an experienced Senior Snowflake Data Engineer to drive scalable data solutions on Snowflake's cloud platform. You will design robust data pipelines, optimize complex queries, and build AI-enabled data applications leveraging Snowpark and Cortex AI.

The role requires 5–8 years in data engineering with 4+ years in Snowflake, strong Python, and cloud experience with AWS and/or Azure. Collaboration with data scientists to productionize ML models will be important.

Qualifications

• 5–8 years of experience in data engineering with 4+ years using Snowflake
• Proficiency in Snow SQL, Snow PLSQL, and Snowpark for development
• Advanced Python programming for data engineering workflows

Responsibilities

• Design and implement robust data pipelines using Snowflake capabilities
• Develop and optimize queries with Snow SQL/PLSQL
• Build scalable data applications using Snowpark
• Deploy Snowflake environments on AWS and Azure
• Integrate Snowflake with cloud services and data sources
• Establish data governance and security best practices
• Maintain data workflows with Apache Airflow
• Create data transformations with DBT
• Monitor data quality and performance across pipelines
• Collaborate with data scientists to productionize ML models

Skills

Snowflake data engineering

Python programming

Cloud data pipelines

Airflow

DBT

Snowpark

Snow SQL

Snow PLSQL

Tools

Snowflake

Snowpark

Snow SQL

Snow PLSQL

DBT

Apache Airflow

AWS

Azure

Job description

Overview

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