Python developer állások, munkák Martonvásárban

Számítunk Rád abban, hogy end-to-end szemlélettel elemzed az ellátási lánc teljesítményét, különös tekintettel az áruházi és raktári termékelérhetőségre, a polcfeltöltöttségre, valamint a készletek alakulására. ...

• Maintaining and evolving data structures
• Building new ETL flows and maintaining or improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

• Maintaining and evolving data structures
• Building new ETL flows and maintaining or improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

• Definition and improvement of metrics representing product performance and operations efficiency
• Data collection from multiple sources ensuring accuracy and completeness
• Data cleaning, organization, and transformation into usable formats for analysis

• Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• Develop and maintain the platform’s core capabilities such as orchestration, data quality validation, and schema management tools

• Design and implementation of new projects and solutions
• Installation, configuration and maintenance of Linux servers
• Installation, configuration and maintenance of cloud resources on AWS, Google Cloud, Azure
• Provision and updating of infrastructure documentation

• Preparation for containerization and cloud deployment
• Increasing scalability of systems while maintaining high quality
• Re-evaluation of systems design and development of new features
• Support of development teams both backend and frontend focused
• Enhancement of CI/CD pipelines

• Development and optimization of large-scale data processing workflows using Apache Spark, PySpark, and SQL
• Building and enhancing multi-stage ETL pipelines with idempotency and failure recovery
• Implementation and configuration of pipeline orchestration using Airflow, Dagster, or Prefect

• Trade a wide range of financial instruments
• Develop, maintain, and improve trading strategies and algorithms
• Run trading desks and support day-to-day trading operations
• Manage execution and risk across complex trading portfolios
• Analyze market data and identify opportunities for strategy improvement

• Development and optimization of algorithmic trading systems
• Writing clean, high-performance code in C++ or Rust
• Collaboration with a team of engineers and quants to deliver robust, scalable trading infrastructure
• Contribution using Python for scripting or tooling tasks

• 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

• Design and implement new market links and connectivity tools
• Improve and maintain existing high-load, low-latency C++ applications
• Actively reduce latency to optimize trading performance
• Ensure operational excellence and reliability of systems as they scale

• Design and implement new market links and connectivity tools
• Improve and maintain existing high-load, low-latency C++ applications
• Actively reduce latency to optimize trading performance
• Ensure operational excellence and reliability of systems as they scale

• Engineering, implementing, and supporting Privileged Access Management services across enterprise environments
• Onboarding applications, systems, credentials, and roles into PAM platforms
• Designing and maintaining secure, scalable, and automated access control solutions

• Architect cloud-native AI applications integrating LLMs, vector search, and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines, model serving, and AI agents in production
• Lead cross-functional teams (Full-stack, AI, Data)

• Architect cloud-native AI applications integrating LLMs, vector search, and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines, model serving, and AI agents in production
• Lead cross-functional teams including full-stack, AI, and data

• Participation in various partner projects building end-to-end web solutions from UI to backend
• Leadership and contribution to development efforts across the full stack supporting technical decision-making
• Design and implementation of web applications using modern frameworks and best practices

• Perform EMC and ESD testing including emissions, immunity, ESD, EFT, surge, conducted and radiated
• Execute pre-compliance and compliance testing according to IEC, CISPR, EN, FCC, ISO, and ECSS standards

• Administration and support of Cloudera Private Cloud Platform (PCP) and Cloudera Data Platform (CDP) environments
• Deployment, configuration, maintenance, and troubleshooting of Cloudera clusters and services
• Management of containerized environments using Docker/Podman and Kubernetes/OpenShift

• Design, develop, and maintain multimedia middleware components
• Build, integrate, and optimize GStreamer-based audio/video pipelines
• Integrate media components with user-space applications and system services
• Debug and resolve complex media issues related to performance, stability, and synchronization