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.
Задачи
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)