Sql állások, munkák VII. kerületben

• Installation, configuration, and maintenance of Microsoft Windows Server environments including AD, DNS, DHCP, and Group Policy
• Administration and monitoring of Linux servers Ubuntu, CentOS, RHEL
• Installation, configuration, backup management, and performance optimization of MSSQL databases

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

• Design and implement enterprise-scale data pipelines and advanced analytics dashboards
• Develop and optimize data ingestion, transformation, and modeling workflows across structured data environments and cloud-based platforms

• Development and maintenance of frontend and backend components of web-based applications
• Implementation of user-facing features using modern web technologies and integration with backend services and APIs
• Building and maintaining backend services using C# and .NET

• Design and develop normalized and denormalized data models to support reporting and data integration needs
• Apply dimensional modelling techniques to create efficient, scalable, and business-oriented data models
• Develop and maintain data transformations and models using SQL and dbt

• Primary adviser on sales force effectiveness topics
• Ownership of segmentation and targeting cycles, customer universe and route-to-market updates
• Design and governance of the sales incentive plan including target setting, rules, settlement and performance monitoring

• Liaison with Ford of Europe CV Brand teams and NSC CV Product Marketing teams to support product updates implementation
• Implementation of product marketing strategy including launches, in-cycle actions, and run-outs across Ford systems

• Data ingestion processes from various sources into the Data Lake
• Design, development and optimization of complex data pipelines for reliable data flow
• Build, development and maintenance of frameworks facilitating construction of data pipelines

• Technical ownership of governance infrastructure supporting the GBS Digital Enablement organization
• Maintenance and continuous enhancement of governance infrastructure
• Ensuring reliability, scalability, governance and accuracy of tools, workflows, data structures and reporting solutions

• Lead the design and implementation of scalable data pipelines and Lakehouse architectures
• Act as the design authority
• Solve the hardest technical challenges including optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

Support of routine daily activities for system design, build, testing, validation, maintenance, and ongoing support of all network infrastructure components...

• Experience in different data science topics
• Independent delivery of data science projects with e2e product-oriented mindset
• Direct engagement with clients to understand business objectives and translate into technical requirements
• Leading pre-sales technical discussions

• Classical controlling responsibilities for local entities
• End-to-end controlling activities for assigned Business Unit(s) with full P&L responsibility
• Ownership of key controlling processes such as closing and forecasting
• Coordination across functions and driving timelines, inputs, and deliverables

• Analysis of webshop and digital campaign performance across multiple brands and channels
• Building and maintaining campaign benchmarking databases using historical performance data
• Development of forecasting methodologies and performance estimates for future campaigns

• 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

• Support and operate enterprise application environments
• Troubleshoot Linux, database, and application issues
• Perform migrations, upgrades, and system changes
• Work with Oracle/PostgreSQL, Apache, SSL/TLS, and SSO
• Communicate directly with international customers

• Development, maintenance, and support of cloud-based data operation infrastructure and production data pipelines
• Design, implementation, operation, and optimization of Azure data services and Databricks workloads

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping

• Biztonsági elemző és felügyeleti rendszerek telepítése, konfigurálása, üzemeltetése
• Biztonsági elemző és felügyeleti rendszerek üzemeltetése
• SOC/MSSP szolgáltatás tervezésében való részvétel
• Presales csapat mérnöki támogatása
• Tanácsadói csapat mérnöki támogatása

• Új technológiák bevezetése
• Termékfejlesztési és szolgáltatási igények implementálása
• Rendszerintegrációk megvalósítása
• Rendszertervezés
• Tesztelés
• Dokumentálás
• Együttműködés solution architektekkel és rendszerszervezőkkel alkalmazás- és interfészfejlesztések terén
• Minőségbiztosítási feladatok támogatása