Sql developer állások, munkák középiskolai végzettséggel

• Design, develop, and maintain backend services and APIs that support scalable cloud and on-prem systems
• Take part in architectural discussions, prototyping, and evaluating technical feasibility
• Optimize, test, and continuously improve system performance and reliability

• 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

• Ügyféligények megértése és egyeztetése funkcionális specifikáció készítésével
• Fejlesztési folyamat támogatása
• Tesztesetek és tesztelési forgatókönyvek készítése, közreműködés a tesztelések végrehajtásában, folyamatos kapcsolattartás az üzleti területekkel
• Élesítés támogatása és koordinálása

• 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

• 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

• 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

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• Own the end-to-end forecasting and price-elasticity models at the core of our pricing engine — from feature and model research through evaluation, deployment, and continuous monitoring
• Scale the forecasting architecture to meet growing demand for granular, product-level forecasts

• 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

You'll deliver the full technical architecture (data model, integration map, deployment topology, security model) for 4+ enterprise HubSpot programs of €150k+ each per year, at Director sign-off quality...

Working on business analytics topics related to the sales performance of digital products within the connected car ecosystem...

• 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

• You further develop quantitative risk and valuation models across asset, trading, and sales portfolios as well as broader Group risk topics
• Developing stochastic power price models and quantitative approaches for complex energy and commodity markets forms a key part of your day-to-day work

• Supporting the implementation of quantitative and qualitative analyses in order to develop insights together with the Operations & Logistics Team that offer the greatest possible benefit for PHOENIX
• Collaboration in the area of data quality and completeness

• 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