Our Client is one of the leading telecommunications operators in Poland, providing mobile telephony, internet, and advanced digital solutions. As part of a large international group, the company focuses on innovation, digital transformation, and continuous technology development to stay competitive in a rapidly evolving market.
Long-term project focused on the migration of an Oracle Data Warehouse to Google Cloud Platform (GCP). You will join a data-focused team responsible for building modern, scalable data pipelines and ensuring high data quality in a cloud-based environment.
Our Client is one of the leading telecommunications operators in Poland, providing mobile telephony, internet, and advanced digital solutions. As part of a large international group, the company focuses on innovation, digital transformation, and continuous technology development to stay competitive in a rapidly evolving market.
Long-term project focused on the migration of an Oracle Data Warehouse to Google Cloud Platform (GCP). You will join a data-focused team responsible for building modern, scalable data pipelines and ensuring high data quality in a cloud-based environment.
,[Build and maintain data ingestion processes from various source systems into a Data Lake , Design, develop, and optimize complex data pipelines ensuring reliable and efficient data flow , Create, enhance, and maintain frameworks supporting data pipeline development , Implement comprehensive testing frameworks for data pipelines , Collaborate closely with data analysts and data scientists to deliver high-quality, trusted data , Ensure strong data governance, security, and compliance practices , Research and implement new technologies to improve pipeline performance , Integrate data from diverse source systems such as Kafka, MQ, SFTP, databases, APIs, and file shares Requirements: GCP, Oracle, Google Cloud Platform, Data pipelines, Data Lake, Kafka, SFTP, Spark, SQL, PL/SQL, Python, Data science, ETL, Linux, Bash, Data management, Communication skills