Program állások, munkák adatbázisszakértő kategóriában

• Learn data engineering principles
• Learn to design and implement ETL processes and pipelines
• Work with SQL, Python and different programming languages and notebooks
• Learn Power BI report building, Data Bricks and various ETL tools

• Learn Generative AI principles and models
• Learn Large Language Models, Natural language processing
• Work with Different generative AI Tools and uses
• Learn the LLMs, NLP fundamentals, Transformers, and attention mechanism
• Build Custom dataset for LLM, Build your own custom chatbot/AI bot/custom GPT

• cikkszámok létrehozása a SAP cikktörzsben
• árváltozások átvezetése
• a vállalati SAP rendszer alapos ismerete, magabiztos használata
• szállítói adatbázis alapszintű ismerete
• kiemelt figyelmet fordítani a releváns cikktörzs adatokra
• SAP feltöltő modulokkal, vagy kézzel az adatok rögzítése a SAP rendszerben

• Design and implement a QC-sample-data strategy to support longitudinal comparability
• Define acceptance criteria and evaluate instrument performance, signal drift, and technical variation across batches and years

• Aktív részvétel az ERP rendszer átállási projektjében (IFS9 rendszerről SAP HANA Cloud-ra történő migráció).
• A meglévő IFS rendszer adatstruktúrájának feltérképezése, OpenSQL, MSSQL és PL/SQL scriptek írása az adatok kinyeréséhez, tisztításához és transzformációjához (ETL).

• Unix/Linux alapú rendszereken rendszerintegrációs feladatok elvégzése, menedzselése
• Adatbázisok, (Oracle, MySQL, MSSQL) adminisztrációja
• Scripting eszközök rutinszerű használata
• Üzleti osztályok és külső partnerek támogatása és oktatása

• learning state‑of‑the‑art new technologies
• acting as a team member in BI‑focused engagements

• Create, design and maintain reporting dashboards (Power BI)
• Manage, extract and consolidate data from multiple sources
• Capture and deliver reporting requirements from several business and finance collaborators
• Create standard and ad-hoc reports for management decisions

Develop, optimize, and maintain backend services using Java, leveraging internal framework components Be a key contributor in the architectural decisions which help us build the framework Work on data pipelines that power operations for various different sports like American football or ice hockey...

Your role will be at the forefront of tackling complex challenges in the field of ophthalmology...

Develop innovative business data and analytics concepts, strategies, and solutions for our industrial clients in both national and international contexts....

• Hands-on experience building foundations for realtime simulation systems
• The chance to learn, implement and extend state-of-the-art simulation methods (XPBD, advanced constraint solvers, hybrid models)
• Mentorship from PhD-level researchers

Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Develop and execute vision....

Internship Data Analytics (3 to 6 months) (m/w/d) Are you curious and eager to seize new opportunities? Do you go the extra mile and have an open, communicative personality with a strong customer and solution orientation? Then let's exceed our customers' expectations together and continue the...

• Unique opportunity to contribute to the development of the SAP-RPT model family
• Design, develop and manage tools and data pipelines that enable the processing of tabular data at scale

Where you belong: Where you belong: ...

Design, develop, and maintain SAP's official AI Core SDKs for Python, Java, and TypeScript....

Where you belong: Where you belong: ...

• Become familiar with our previously developed neural network superstructure for learning iterative algorithms
• Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference
• Investigate scaling and performance bottlenecks

• Develop methods and workflows to construct robust co-regulation networks from large single-cell and spatial transcriptomics datasets
• Integrate ontologies and metadata (e.g., tissue, cell type, developmental stage, treatment) to build tissue- and context-specific co-regulation networks