Technical állások Törökbálinton (it programozás, fejlesztés)

• High-performance simulation loops, autonomous behavior, and data-oriented design
• Improve system performance, proactively indetify technical debt
• Understanding and optimize complex dataflows
• Designing, improving, extending existing architecture
• Create technical specification based on business needs

Coordinate assigned activities within the Asset Data Management scope, including planning, execution, progress tracking and delivery within agreed timelines and budgets....

• Design, build, and maintain scalable ELT/ETL pipelines on AWS
• Develop and optimize data models and transformations in Amazon Redshift
• Implement and maintain CDC (Change Data Capture) ingestion pipelines
• Build orchestration workflows using AWS Step Functions

• Design, develop, and maintain backend services and RESTful / GraphQL APIs using Node.js
• Build scalable and high-performance applications following best coding practices
• Integrate data storage solutions such as MongoDB, PostgreSQL, MySQL, or similar databases

• Design, develop, and optimize high-performance applications
• Analyze and improve application performance, memory consumption, and CPU utilization
• Identify performance bottlenecks and implement effective optimizations
• Work on resource and memory management challenges

• Manual and automated testing across iOS and Android platforms
• Collaboration with developers, designers, product owners, and fellow QA engineers
• Definition and refinement of test strategies for new functionality and release cycles

• Geographic information systems, spatial analysis, and map server infrastructure
• Maintain a performance oriented GeoServer and database
• Create new features based on specification
• Actively take part in the system design
• Optimize data flows, build automated data piplines

• Build, maintain, and enhance cybersecurity reporting solutions, dashboards, and analytics using Cognos and Tableau.
• Collect, analyze, and transform cybersecurity risk and performance data into actionable insights and metrics.

• Coordinate and support the delivery of Retail IT projects across fuel stations and head office operations.
• Lead and actively participate in IT and IT-related projects, ensuring successful delivery and business alignment.

• Operate, govern, secure, and continuously improve the Azure Databricks platform, ensuring reliability, scalability, security, and cost efficiency.
• Manage Databricks workspaces, environments, account-level settings, identities, and platform access controls.

We are looking for a highly skilled System Administrator/Engineer with solid hands-on experience in managing large user and computer systems and mobile devices in a Microsoft hybrid cloud environment...

•Working closely with Test Engineers and Developers to understand product requirements and ensure high quality in releases •Testing Siemens SIMATIC S7 PLC and HMI product families’ engineering systems and hardwares •Executing test cases (manual and/or automated) and analyzing results •Writing and...

• Cooperates closely with Business side peers, Super Users, Process Architects, Developers, Application Architects and Business Analysts
• Coordinates and owns the business requirement specifications of its own sub-domain, in-line with domain business and IT strategy.

• Define and manage domain-specific architecture standards, principles, and policies aligned with enterprise standards.
• Lead tool and technology selection within the domain(s) to meet strategic objectives.

You’ll make an impact by: • Writing and maintaining automated test-cases by using an internally developed test automation tool • Manual testing • Evaluation • Bug reporting...

Create and maintain multiple semi-complex product models within the SAP Variant Configurator to ensure accurate and efficient generation of Bills of Materials (BOMs)....

• End-to-end management of modern data platform implementations built on Databricks
• Running all scrum ceremonies for data engineering and data science teams
• Tracking budgets and optimizing compute costs
• Managing technical risks such as data quality and pipeline bottlenecks

• Owning the end-to-end delivery lifecycle of Product Order Management and Shopping Cart
• Acting as the go-to technical delivery partner
• Shaping and prioritizing the backlog together with stakeholders
• Translating business needs into clear delivery scope
• Ensuring architectural and integration alignment

• Understanding and aligning with business needs
• Identifying related data requirements
• Participating in technical pre-sales activities
• Effort estimation
• Proposal creation
• Architecting and planning robust data models
• Architecting and planning modern data platforms

• Experience in different Data Science topics
• Independent delivery of Data Science projects
• Engagement with clients to understand business objectives and translate them into technical requirements
• Leading pre-sales technical discussions