Állam állások XXIII. kerületben (adatbázisszakértő)

• Hitelinformációs API-hoz kapcsolódóan adatelemzések és ügyfelek egyedi igényeinek megvalósítása, ügyfélspecifikus setup-ok felépítése,
• A cégünk által értékesített rendszerrel kapcsolatos adminisztráció elvégzése,

• 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

• 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

az ingatlancom Zrt és a Használtautóhu Kft. riporting igényeinek teljes körű menedzselése, (Tableau-t használunk) dbt modellek készítése, stakeholderekkel aktív kapcsolattartás, proaktív részvétel különböző AI projektekben....

Assessment/blueprinting of enhancements and projects providing ensuring solutions meet or exceed business value propositions and meet architectural policies....

• Manage and maintain dataflow processes within the local YouGov Shopper Operation.
• Maintain and update the YouGov Shopper master databases to ensure data accuracy and consistency.
• Monitor and troubleshoot dataflow processes to ensure smooth and timely data delivery.

• 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

• Nagy mennyiségű adat elemzése, strukturálása és feldolgozása
• Adatminőségi problémák feltárása, javítása és dokumentálása
• Rendszeres adattisztítási (Data Cleansing) folyamatok kidolgozása és futtatása
• Automatizált adatfeldolgozó scriptek és folyamatok fejlesztése

Provides timely and effective technical support to internal customers to troubleshoot issues and minimize down time for the end user community Assist in maintenance, testing, and updates of the Company’s worldwide financial close and consolidation system (Oracle EPM Cloud FCCS) and planning &...

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

Implementation of quantitative financial models and tools across many different areas including single-security pricing, prepayment models, risk, return attribution, optimization and portfolio construction, scenario analysis and simulations Development of portfolio analytics and supporting...

Design and build scalable data pipelines that support AI-enabled digital experiences, personalization, and marketing automation. Leverage AI-driven development and testing tools to increase engineering quality, speed, and reliability. Contribute to ongoing platform modernization efforts across...

Provide the technology platform that enables research, implementation, delivery and execution of financial risk models to internal partners and external clients, and their integration with Aladdin. Onboard models to the platform. Collaborate with modellers on the implementation and deployment of...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Design, implement, and manage Azure cloud infrastructure to support Databricks and data platform workloads Build and maintain Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory (AAD) integrations Implement Infrastructure as Code (IaC) using...

Design, write and execute comprehensive test plans, test cases and test scripts to validate ETL/data‑pipeline processes, data transformations, and data integrity (source‑to‑target, cross‑reference, reconciliation). Validate data extraction, transformation and loading processes for accuracy,...

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models) Implement various machine learning solutions addressing computer vision and NLP use cases Work with Large Language Models (LLMs), perform prompt engineering tasks Design and implement data transformation...