03.06.2025 | Pełny etat | Rzeszów | EdvantisAnd pandas for data analysis and transformation Develop the ML models and integrate them into data pipelines Write and maintain Docker configurations to containerize applications and streamline CI/CD pipelines Integrate with AWS S3, Azure Data Lake, and Databricks Unity Catalog for efficient data ingestion
Zobacz później03.06.2025 | Pełny etat | Rzeszów | Limango PolskaInfrastructure. This involves developing AWS-based services responsible for both synchronous and asynchronous data exchange of marketplace products, offers, orders, and more. You will work with a cutting-edge technology stack, including cloud-based solutions, service-oriented architecture, and event-driven
Zobacz później31.05.2025 | Pełny etat | Rzeszów | cloudatusdatabases, and web technologies A deep understanding of common security protocols and technologies, including firewalls, intrusion detection/prevention systems, SSL/TLS Programming skills and experience with languages such as Bash, Python, and PowerShell The ability to provide clear, comprehensive
Zobacz później31.05.2025 | Pełny etat | Rzeszów | Limango Polskadata solutions to a modern, cloud-based environment and building a new enterprise data warehouse based on the Data Vault methodology. Our Role and Main Responsibilities Contribute to the development of a centralized Lakehouse Data Platform built on AWS and Databricks. Manage and evolve data
Zobacz później31.05.2025 | Pełny etat | Rzeszów | Edvantisdatasets Use M Query and DAX to implement reliable calculations Create insightful and visually compelling Power BI reports, using tools like Deneb or similar ones Leverage experience with the Microsoft Data Stack and Microsoft Fabric Requirements Strong experience with Microsoft Data Stack (Azure Data
Zobacz później31.05.2025 | Pełny etat | Rzeszów | Limango PolskaLegacy data solutions to a modern, cloud-based environment and building a new enterprise data warehouse based on the Data Vault methodology. Our Role and Main Responsibilities Contribute to the development of a centralized Lakehouse Data Platform built on AWS and Databricks. Manage and evolve data
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