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Описание вакансии
Senior Python Data Engineer at EPAM
Office in Kyrgyzstan
We seek a skilled Python Data Engineer to join our team and help us build and maintain our data pipelines.
As a Python Data Engineer, you will be responsible for designing, developing, and testing Python-based data pipelines and performing data cleansing, transformation and quality assurance.
Thrive in our dynamic work environment by joining us at our conveniently located, well-equipped office in Bishkek.
Responsibilities
- Design, develop, test and maintain Python-based data pipelines
- Write high-quality and maintainable Python code to migrate data between different storage systems with modifications
- Create ETL jobs, airflow operators, and Spark jobs to enhance data processing capabilities
- Implement Data Intake processes for Data Sources (ETL/ELT, DWH Modelling and Optimization)
- Perform data cleansing, transformation and quality assurance to maintain data integrity
- Optimize data processing, storage and retrieval to improve performance
- Collaborate closely with cross-functional teams to ensure data accuracy and consistency
Office in Kyrgyzstan
We seek a skilled Python Data Engineer to join our team and help us build and maintain our data pipelines.
As a Python Data Engineer, you will be responsible for designing, developing, and testing Python-based data pipelines and performing data cleansing, transformation and quality assurance.
Thrive in our dynamic work environment by joining us at our conveniently located, well-equipped office in Bishkek.
Responsibilities
- Design, develop, test and maintain Python-based data pipelines
- Write high-quality and maintainable Python code to migrate data between different storage systems with modifications
- Create ETL jobs, airflow operators, and Spark jobs to enhance data processing capabilities
- Implement Data Intake processes for Data Sources (ETL/ELT, DWH Modelling and Optimization)
- Perform data cleansing, transformation and quality assurance to maintain data integrity
- Optimize data processing, storage and retrieval to improve performance
- Collaborate closely with cross-functional teams to ensure data accuracy and consistency
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