Lead Snowflake Data Engineer
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Salary
≈ $26k – $57k per year (Estimated)
Location
In office (Pune)
Seniority
Staff · 8+ years exp
Employment
Full-Time
First seen by Alion on Oct 26, 2026. EPAM Systems scores D on the Alion truth index.
Overview
Company
Impact
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EPAM Systems is an American software engineering and digital transformation company founded in 1993 by Arkadiy Dobkin and Leonid Lozner, and headquartered in Newtown, Pennsylvania. It builds custom software products, platforms and data systems for large enterprises, combining consulting and design with engineering teams distributed across Central and Eastern Europe, India, Latin America and Western Europe. Listed on the New York Stock Exchange and a member of the S&P 500, the company relocated large parts of its delivery capacity after the 2022 invasion of Ukraine and has since centred its offering on cloud modernisation and AI-assisted engineering.
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
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
- 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
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