Sql developer állások IV. kerületben (it programozás, fejlesztés)

• Develop and maintain scalable web applications using Angular or React
• Build and optimize RESTful APIs and microservices using Node.js, Python or .NET
• Define and manage cloud infrastructure using Infrastructure as Code, such as Terraform or OpenTofu

• Design, develop, and optimize scalable data pipelines for processing large-scale structured and unstructured data
• Ensure reliability, performance, and scalability of data systems
• Build solutions to handle real-time streaming data from multiple sources

• Microsoft SQL Server operation including maintenance, migrations, administration, configuration
• Support for developers, testers and DevOps engineers about best practices in database operation

• Development and operation of data pipelines
• Building data layers in OneDataLake (ODL) Central Data Store Consumer (CDSC)
• Balancing business and IT demands to build modern and efficient pipelines in public cloud environments
• Integration of data preparations into managed processes

• Build and maintain dataset ingestion, cleaning, and versioning pipelines
• Design and operate labeling workflows including quality control and inter-annotator agreement tracking
• Own dataset testing including coverage analysis, class balance, leakage detection, and dataset documentation

• Work with an agile mindset and according to agile methodology
• Collaboration within the team, with other teams in the Domain and Deutsche Telekom, and with software engineers using the cloud platform
• Approach work with a DevOps and continuous improvement mindset

• Writing system tests
• Executing system tests
• Evaluating system tests
• Writing integration tests
• Executing integration tests
• Updating integration tests
• Taking part in E2E testing
• Cooperating with teams from partner systems
• Managing regression tests
• Reviewing tests
• Writing documentation
• Log analysis

• Ownership of production database stability across engagements
• Design and implementation of monitoring and alerting that surfaces failures before user reports
• Performance tuning across business-critical systems including core applications, accounting platforms, CRM, and ERP environments

• Development, maintenance and enhancement of microservice-based applications using Java and Quarkus
• Operation and support of production environments running on Kubernetes including deployment automation, monitoring, troubleshooting and incident resolution

• Understanding underlying data structure of an ERP system (Microsoft Dynamics 365 Finance & Operations)
• Creating technical specification (design) documents for functional requirements
• Managing existing and creating new automations using Alteryx, Python, SSIS
• Creating reports and dashboards in Power BI

Részt vesz a területre érkező igények megvalósításának tervezésében, mely során megérti és megismeri az üzleti igényeket és az üzemeltetési folyamatokat, felméri a szükséges funkcionális és nem funkcionális igényeket, majd ezek ismeretében tervezi meg az adott rendszer, funkció logikai modelljét....

Termékfejlesztéssel kapcsolatos üzleti igények, visszajelzések gyűjtése (kapcsolódó interjúk, workshopok, UAT-ok, megbeszélések szervezése és vezetése) Részvétel az üzleti megoldások tervezésében...

• Designing and developing proof of concepts (PoCs)
• Demonstrating solutions to internal customers on a tight schedule
• Utilizing GenAI no code, low code, and SDKs to build robust GenAI agents that automate business processes
• Taking GenAI and Agentic AI solutions from concept to Proof-of-Value (PoV)

• Co-design and implement QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques
• Apply AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets

• Design and build artificial intelligence and machine learning solutions for enterprise clients
• Operationalize AI and machine learning solutions combining custom models with cloud and third-party AI services
• Assess client needs and data for AI/ML solutions

• Development of highly scalable services realizing AI/ML functionalities
• Implementation of machine learning solutions addressing computer vision and NLP use cases
• Work with Large Language Models (LLMs) and perform prompt engineering tasks

• Kontrolling számítások elvégzése, riportok és elemzések készítése.
• Excel alapú kimutatások és vezetői riportok összeállítása.
• SQL lekérdezések értelmezése, szükség szerinti módosítása.
• Az ERP rendszerben található adatok ellenőrzése, elemzése és javítása.

• AI-alapú rendszerek és alkalmazások architektúrájának tervezése és fejlesztése
• Microservice és event-driven architektúrák tervezése és technikai irányvonal meghatározása
• Architekturális döntések meghozatala, beleértve a megfelelő technológiai és tervezési megoldások kiválasztását

• Delivery, execution, and outcomes ownership across multiple engineering teams
• Leadership and development of engineering managers
• Building a high-performing engineering organization
• Partnership with product, architecture, data, security, and business stakeholders to shape strategy and define roadmaps

• Definition and improvement of metrics reflecting product performance, service quality, and operational efficiency
• Analysis of client behavior and service processes to identify trends, bottlenecks, inefficiencies, and drivers of performance