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.

#LI-DNI #EasyApply Responsibilities 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 challeng