Senior Data Engineer (Snowflake)

Senior Data Engineer (Snowflake + AWS) We are looking for a Senior Data Engineer with strong hands-on experience in Snowflake, AWS, and Python, who can design and support reliable data systems for analytics and data-driven products. You will work closely with engineers, analysts, and data science teams to ensure high-quality, secure, and scalable data pipelines and models.

We work with leading companies to create reliable software and a clear, high-quality user experience for them. Our solutions transform the business of our clients and partners.

• Design and implement scalable data models and database structures in Snowflake to support analytics and reporting use cases
• Develop and maintain data pipelines in Python, ensuring reliability, observability, and maintainability
• Build and operate solutions in AWS (primarily S3, Glue, Lambda) for ingestion, transformation, and orchestration tasks
• Implement Infrastructure as Code using Terraform for repeatable and controlled deployments
• Translate business requirements into clear and usable data models for different stakeholders (analytics, product, business)
• Ensure data quality, availability, and performance through monitoring, troubleshooting, and optimization
• Maintain data security standards, including access control and governance (AWS IAM, Snowflake security best practices)
• Collaborate with the engineering team to establish and follow best practices in data engineering, operations, and documentation
• Support incident resolution and performance tuning (Snowflake optimization, pipeline bottlenecks, cost awareness)

Mandatory skills

• English C1 (strong verbal communication)
• Snowflake + SQL (data modeling, query optimization, performance tuning)
• AWS Cloud experience including: S3, Glue, Lambda, CloudWatch, IAM
• Python (pipeline development, data processing, integrations)
• Terraform (production-grade infrastructure management)

Other valuable skills (nice to have)

• REST API integration (data ingestion and service-to-service communication)
• Apache Airflow (workflow orchestration / scheduling)
• CircleCI (CI/CD pipelines, automation)
• JavaScript

• Employment according to the Labor Code, including 100% payment of sick leave and vacation
• Medical coverage (DMS)
• Democratic leadership, flexible start of the working day
• Corporate training programs
• Abundant opportunities for self-realization, professional and career growth.