Python programozó diákmunka állások VII. kerületben (adatbázisszakértő)

• Dashboard development for sustainability data visualization
• Data integration from internal databases, external APIs, and third-party platforms
• Client reporting with customized visual analytics solutions
• Data analysis to identify trends, patterns, and insights supporting sustainability initiatives

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn customer data into actionable business value aligned with business goals

• 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

• Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform
• Collaboration with the Architect in design discussions and proposals
• Building robust, scalable pipelines using Azure Databricks (PySpark / SQL)

• Architecture design of large-scale market data initiatives
• Software engineering of secure, high performance, scalable and maintainable applications
• Integration and deployment of market data initiatives
• Coordination and collaboration with internal OneMSCI stakeholders

• Data exploration, profiling, cleansing, and preprocessing
• Design and management of workflows for storing and retrieving vectorised documents
• Application of embedding models for AI-driven solutions

Collaboration with engineers, project managers, technical leads, business owners and analysts throughout the software development lifecycle Design and implementation of new features in the core product’s data platform and suspicious activity identifying mechanism Improvement of resiliency,...

• Build And Maintain Data Models And Pipelines Primarily Using AI Coding Tools
• Build And Improve Agentic Coding Workflows To Accelerate Data Modeling And Testing
• Partner With Stakeholders To Surface Conflicting Metric Definitions And Run Alignment Workshops

• Managing complex database systems within a global technology ecosystem
• Building and managing Database hosting capabilities using Infrastructure as Code for all platform needs
• Building Database Infrastructure Platforms with developers and providing guidance and tooling to handle distributed systems