Senior Snowflake Data Engineer

EPAM Systems · IT Consulting & Digital Transformation · IT Outsourcing & Dedicated Teams · Python · SQL · 1 day ago
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Salary
≈ $20k – $43k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Senior · 5+ years exp
Employment
Full-Time

First seen by Alion on Oct 26, 2026. EPAM Systems scores D on the Alion truth index.

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EPAM Systems

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.
epam.com · HQ: Newtown, United States · IT Consulting & Digital Transformation · IT Outsourcing & Dedicated Teams · Custom Software Development · 5000+ employees · Est. 1993
Tech stack of 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
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