Diákmunka devops állások, munkák adatbázisszakértő kategóriában

Tasks and responsibilities: •Maintain Tableau dashboards and upgrade their data sources to apply new database features •Migrate views in database to an updated table structure, apply backend table structure changes in the view layer •Support database cleanup and impact analysis •Collaborate with...

• Implementation of software solutions for research purposes
• Translation of research code into robust software (e. g., optimization, refactoring)
• Contribution to research projects to allow deployment (containerization, virtualization)

• Design, optimize, and maintain high-performance databases, data pipelines, and APIs for suena's energy trading and analytics platform.
• Model complex time-series data, enable robust integrations with modelling and data science teams, and ensure data reliability and scalability.

• Design, implement, and continuously improve an existing C++ service-oriented application built on Azure IoT
• Maintain high software quality standards through comprehensive unit and integration testing
• Develop and extend Python-based integration tests to automate end-to-end system testing

• Architect and implement high-reliability backend services (using TypeScript & Rust) that support core blockchain-enabled products.
• Build APIs, data pipelines, and internal tooling to streamline platform scalability and performance.

Fejlesztés Németország egyik legnagyobb megújulóenergia-kereskedőjének személyreszabott ERP és CRM rendszerén...

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams Develop new or enhance existing assets Design and build robust, modular, scalable, and secure data pipelines for machine...

• Expand, develop, and maintain infrastructure and development pipelines for our Global Data Platform
• Increase automation in our cloud-based development and production environments
• Administer our cloud-native analytical database system Snowflake

• Architect and implement scalable data pipelines, models, and services using Azure Databricks, Azure Data Factory, Azure Foundry, and ADLS
• Establish and enforce standards for ingestion, transformation, governance, and storage across the Common Data Platform (CDP)