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• 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

A szervizbe érkező személygépjárművek javítása, karbantartása, műszaki vizsgára felkészítése. Az új kolléga főbb feladata a futóműszerviz lenne elsősorban, és az autók műszaki állapotának ellenőrzése. Szervizünkben gyorsszerviz szolgáltatásokat végzünk. Feladatok közé tartozik többek között: - A...

• Ellenőrzi a rakodógépek műszaki állapotát
• Jelenti a javítás szükségességét a részlegvezetőnek
• Elvégzi a szükséges javításokat és karbantartásokat

• Setup and maintenance of IT cloud infrastructure for multiple products
• Setup and maintenance of the automated build/deployment jobs
• Maintenance of various support tools and utilities such as logs, monitoring, gathering user feedback
• Monitoring application performance and resource planning

• Delivery on complex data engineering projects across industries
• Leading small delivery teams
• Managing customer relationships alone or with a Project Manager
• Mentoring more junior engineers
• Evaluating the quality of junior engineers' work
• Contributing to hiring best-in-class data engineers

• Real-time decision making with machine learning for risk assessments
• Ownership of risk infrastructure for Instant ACH in the US market
• Cross-functional collaboration with software engineers, data analysts, and data scientists

• Demo development and content creation
• Support the development and implementation of demos showcasing product value
• Setup and troubleshoot demo hardware and partner integrations
• Develop documentation, step-by-step walkthroughs, and supporting materials for demo environments

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• Design, configure, and enhance SAP PP (Production Planning) processes in S/4HANA Public Cloud
• Participation in S/4 rollouts, ensuring consistent global template adoption and local fit-to-standard workshops
• Support clients in implementing best-practice production processes

• Implementation, configuration, and optimization of SAP eWM solutions in S/4HANA
• Driving global rollout activities including fit-to-standard workshops, template localization, testing, and deployment
• Collaboration with MM, SD, TM, and PP teams on end-to-end logistics flows

• Complex programming, testing and debugging functions related to the implementation of SAP modules
• Understanding requirements from provided functional designs and transforming them into technical designs
• Keeping contact with clients, functional teams, and designers

• Consultant and technical expert on the Salesforce platform providing support to stakeholders and users
• Collaboration with experts from other areas to leverage Salesforce technologies through integrations

• Identification of highest-leverage AI opportunities in the developer workflow
• Building and maintaining the internal agentic AI platform engineers rely on daily
• Ownership of foundational architecture and standards for agent and model release evaluation and deployment

• Design, implement, and optimize compiler passes and transformations using LLVM/Clang or GCC
• Build and maintain robust toolchains
• Support new and complex architectures in compiler backends
• Work on architecture-agnostic and IR-level optimizations
• Work on silicon specific optimizations

• End-to-end MES implementations
• Business process assessment
• Requirements gathering
• Solution design
• Configuration
• Development
• Testing
• Deployment
• Ongoing support
• Implementation of MES platforms
• Enhancement of MES platforms
• Integration of MES platforms
• Support of MES platforms

• Designing scalable solutions
• Building modern user interfaces
• Developing high-performance backend services
• Writing automated tests
• Working with SQL and NoSQL databases
• Contributing across the entire software development lifecycle

• Designing and building AWS infrastructure and landing zones
• Defining AWS infrastructure using Terraform or OpenTofu with Terragrunt, or AWS CloudFormation
• Building CI/CD pipelines
• Leading migrations of customer workloads from on-premises, GCP, Azure, or Heroku to AWS

• Research, configure, and test AI tools including Claude, Gemini, Zapier, and n8n to improve the GTM stack
• Build proof-of-concepts for AI-driven lead research, automated email drafting, meeting summarization, and information hand-offs

• Design and own end-to-end solution architecture across distributed systems and cloud environments
• Translate business requirements into scalable technical solutions with clear articulation of trade-offs

• Full-cycle general ledger accounting in accordance with Hungarian accounting regulations
• Preparation of monthly, quarterly, and annual closings
• Supporting tax filings with accurate financial data
• Liaising with auditors and local authorities
• Reconciliation of general ledger and sub-ledgers