Senior Snowflake Data Engineer

EPAM Systems; Hyderabad; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

EPAM Systems is seeking a Senior Snowflake Data Engineer to lead the design, development and maintenance of scalable data solutions on Snowflake. You will work with cloud platforms AWS/Azure, integrate with BI and ML workflows, and ensure governance and performance across data pipelines.

The role focuses on building robust data pipelines, optimizing queries, and collaborating with data scientists to productionize AI/ML use cases in a cloud data environment.

Qualifications

• Must have 5–8 years of data engineering experience with hands-on Snowflake
• Strong SQL and Python skills for data pipelines and analytics

Responsibilities

• Design robust data pipelines using Snowflake native capabilities
• Develop and optimize queries with Snow SQL and Snow PLSQL
• Build scalable data apps with Snowpark and Python
• Manage Snowflake environments on AWS/Azure and cost optimization
• Maintain Airflow workflows and DBT transformations
• Collaborate with data scientists to productionize ML models

Job description

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