Python programmer állások XXIII. kerületben (adatbázisszakértő)

Design, develop, and implement complex and scalable data solutions on the AWS cloud platform Design, build, and optimize data pipelines to ensure efficiency and reliability Write clean, efficient, and maintainable SQL and Python code Develop and maintain shell scripts to support automation Utilize...

Design, develop, and optimize scalable data pipelines for processing large-scale structured and unstructured data Ensure reliability, performance, and scalability of data systems Build solutions to handle real-time streaming data from multiple sources Develop and manage knowledge graph data...

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...

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 Conversion of business...

Support Daily Data Production Workflows Across Multiple Asset Classes Perform Quality Assurance Checks On Incoming Vendor Data And Internally Generated Analytics Assist With Investigating Data Quality Issues Help Maintain And Improve Production Monitoring Tools, Dashboards, And Sign-Off Processes...

• Design and implement ETL processes
• Develop and maintain data pipelines to ingest, transform, and load data from various sources
• Ensuring development tasks to support new release of the project/solutions
• Support production issues, or requests
• Ensure data quality and integrity throughout the ETL lifecycle

Build and maintain data models and pipelines primarily using AI coding tools with consistent best-practice patterns, clear documentation, and high-quality standards Build and improve agentic coding workflows to accelerate data modeling and testing while staying in the loop on business logic,...

• ETL folyamatok tervezése, fejlesztése, optimalizálása
• Adatáramlási rendszerek üzemeltetése és finomhangolása
• Skálázható adattárházak és adatpiacok kialakítása
• Logikai és fizikai adatmodellek létrehozása
• Sémadefiníciók karbantartása, fejlesztése
• Interaktív műszerfalak és riportok készítése

• Learn Generative AI principles and models
• Learn Large Language Models, Natural language processing
• Work with Different generative AI Tools and uses
• Learn the LLMs, NLP fundamentals, Transformers, and attention mechanism
• Build Custom dataset for LLM, Build your own custom chatbot/AI bot/custom GPT

• Learn data engineering principles
• Learn to design and implement ETL processes and pipelines
• Work with SQL, Python and different programming languages and notebooks
• Learn Power BI report building, Data Bricks and various ETL tools

• Define early-stage design patterns and usage frameworks for Databricks and AI-enabled analytics capabilities 
• Enterprise data models and architectural patterns that guide IT-built pipelines in Databricks 

Design, develop, and maintain scalable data pipelines in cloud and hybrid environments Contribute to the architecture of enterprise data platforms with a system-oriented mindset Work with large-scale datasets using SQL, Spark, and cloud-native tools Collaborate with cross-functional teams and...

Design and implement data processes (e.g., ADF Pipelines, Databricks) Develop and version data models Work with Azure cloud-based data infrastructures Develop and execute schema and data migrations Optimize ETL performance...