Описание
ROLE & RESPONSIBILITIES: Design, build and maintain scalable data pipelines and ETL workflows to ingest and transform data for analytics and reporting. Implement and optimize data storage solutions including data lakes and data warehouses on cloud platforms. Develop PySpark and Python applications for large-scale data processing and transformations.
Ensure data quality, consistency and integrity through testing, validation and the use of data quality tools. Collaborate with stakeholders to tran…
Контакты работодателя (email/phone/telegram) скрыты из публичного превью —
отправьте резюме, чтобы мы связали вас напрямую.