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 a Snowflake Data Engineer to join our team and enhance our data solutions.

The ideal candidate will be responsible for designing and maintaining efficient data structures, optimizing data storage and retrieval within Snowflake, and ensuring data integrity across various data sources. This role involves collaboration with cross-functional teams to deliver high-quality data solutions that support analytical and operational requirements.

• Snowflake Data Modeling: Design and implement scalable Snowflake data models, optimized for data ingestion and analytics requirements
• ETL Pipeline Development: Build and maintain robust ETL pipelines to integrate data from multiple sources into Snowflake, ensuring data integrity and consistency
• Performance Optimization: Optimize Snowflake usage and storage, tuning query performance and managing data partitions to ensure quick, reliable access to data
• Data Security & Governance: Implement best practices in data security, role-based access control, and data masking within Snowflake to maintain compliance and data governance standards
• Automation & Workflow Management: Utilize tools such as dbt and Apache Airflow to schedule data processing and automate pipeline monitoring
• Collaboration & Troubleshooting: Partner with data scientists, business analysts, and other stakeholders to address complex data challenges and troubleshoot Snowflake-related issues effectively
• Documentation & Reporting: Develop comprehensive documentation for data structures, ETL workflows, and system processes to ensure transparency and knowledge sharing within the team

• 3 to 5 years of experience in data engineering or a related field
• Proficiency in Python
• Experience with AWS as the primary cloud provider
• Expertise in Snowflake modeling, data modeling using Data Vault, and the DBT framework for data transformation pipelines
• Knowledge of workflow management tools like Argo, Oozie, and Apache Airflow
• Understanding of the requirements for a scalable, secure, and high-performance data warehouse that supports integration with monitoring and observability tools

• 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.)