- Maintain and enhance existing data processes ensuring reliability performance and scalability
- Improve and support Python-based services and contribute to the development of new ones
- Design implement and optimize scalable data architecture
- Drive system reliability and performance improvements across all data workflows
- Oversee and execute data process modernization including the introduction of new tools and technologies
- Manage data flow between local storage AWS and Snowflake to ensure performance and cost efficiency
- Lead and support the migration of data pipelines and services to Snowflake
- Work with and improve the data orchestration layer (Airflow) ensuring stable operation scalability and alignment with future platform needs
- Collaborate with cross-functional teams to ensure architectural alignment and best practices adoption
Qualifications :
- 5 year proficiency in Python for data processing and platform development
- Advanced knowledge of SQL and the ability to write efficient and complex queries
- Strong hands-on experience with Snowflake
- Proficiency in DBT for data transformation and modeling
- Practical experience working with Airflow to orchestrate of data workflows
- Upper-Intermediate level of English
Additional Information :
PERSONAL PROFILE
- Excellent communication collaboration and problem-solving skills with the ability to work effectively with both technical and non-technical stakeholders
- Proven ability to work independently take ownership of projects and drive initiatives to completion
Remote Work :
Yes
Employment Type :
Full-time
Maintain and enhance existing data processes ensuring reliability performance and scalability Improve and support Python-based services and contribute to the development of new ones Design implement and optimize scalable data architecture Drive system reliability and performance improvements across ...
- Maintain and enhance existing data processes ensuring reliability performance and scalability
- Improve and support Python-based services and contribute to the development of new ones
- Design implement and optimize scalable data architecture
- Drive system reliability and performance improvements across all data workflows
- Oversee and execute data process modernization including the introduction of new tools and technologies
- Manage data flow between local storage AWS and Snowflake to ensure performance and cost efficiency
- Lead and support the migration of data pipelines and services to Snowflake
- Work with and improve the data orchestration layer (Airflow) ensuring stable operation scalability and alignment with future platform needs
- Collaborate with cross-functional teams to ensure architectural alignment and best practices adoption
Qualifications :
- 5 year proficiency in Python for data processing and platform development
- Advanced knowledge of SQL and the ability to write efficient and complex queries
- Strong hands-on experience with Snowflake
- Proficiency in DBT for data transformation and modeling
- Practical experience working with Airflow to orchestrate of data workflows
- Upper-Intermediate level of English
Additional Information :
PERSONAL PROFILE
- Excellent communication collaboration and problem-solving skills with the ability to work effectively with both technical and non-technical stakeholders
- Proven ability to work independently take ownership of projects and drive initiatives to completion
Remote Work :
Yes
Employment Type :
Full-time
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