Lead Snowflake Data Engineer

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
We are seeking an experienced Lead Snowflake Data Engineer to spearhead our data warehousing solutions, with a focus on creating scalable and secure architectures using Snowflake.

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• Lead the design and implementation of scalable Snowflake data models to meet data ingestion and analytics needs
• Develop and maintain robust ETL pipelines, ensuring data consistency and integrity across multiple sources
• Optimize Snowflake configurations for performance enhancements, query tuning, and efficient data partition management
• Implement data security measures, role-based access control, and data masking within Snowflake to adhere to compliance and governance standards
• Automate data processing and pipeline monitoring using dbt and Apache Airflow
• Collaborate with cross-functional teams to solve complex data challenges and effectively troubleshoot Snowflake-related issues
• Produce thorough documentation and reports on data structures, ETL workflows, and system processes for team transparency and knowledge sharing

• 8 to 12 years of experience in data engineering
• Proficiency in Python programming
• Background in Snowflake modeling, including roles, schema, and databases
• Expertise in data modeling using Data Vault methodology
• Competency in design and development of data transformation pipelines with the DBT framework
• Skills in workflow management using tools such as Argo, Oozie, or Apache Airflow
• Familiarity with AWS as a cloud service provider
• Understanding of how to build scalable, secure, and highly performant warehousing solutions that integrate with monitoring and observability features

• Opportunity to work on technical challenges that may impact across geographies
• Vast opportunities for self-development: online university, knowledge sharing opportunities globally, learning opportunities through external certifications
• Opportunity to share your ideas on international platforms
• Sponsored Tech Talks & Hackathons
• Unlimited access to LinkedIn learning solutions
• Possibility to relocate to any EPAM office for short and long-term projects
• Focused individual development
• Benefit package:
  • Health benefits
  • Retirement benefits
  • Paid time off
  • Flexible benefits
• Forums to explore beyond work passion (CSR, photography, painting, sports, etc.)