Maintain and enhance existing data processes to ensure reliability, performance, and scalability
Improve and support Python-based services, as well as develop new ones
Design, implement, and optimize scalable data architecture
Drive improvements in system reliability and performance across all data workflows
Modernize data processes by introducing new tools and technologies
Manage data flow between local storage, AWS, and Snowflake with a focus on performance and cost efficiency
Lead migration of data pipelines and services to Snowflake
Work with and improve the data orchestration layer (Airflow) for stable operation and scalability
Collaborate with cross-functional teams to ensure architectural alignment and adoption of best practices

Proficiency in Python for data processing and platform development
Advanced SQL skills with ability to write efficient, complex queries
Strong hands-on experience with Snowflake
Proficiency in DBT for data transformation and modeling
Practical experience with Airflow for orchestration of data workflows
Excellent communication, collaboration, and problem-solving skills
Ability to work effectively with both technical and non-technical stakeholders
Proven ability to operate independently, take ownership, and drive initiatives to completion
Bachelor’s degree in Computer Science, Engineering, or related field

Software Developer

Key skills