Python állás, munka

• 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

• ORACLE/PostgreSQL/MariaDB adatbázisok telepítése, konfigurálása, frissítése (legalább egy terület üzemeltetési szintű ismerete)
• Adatbázis kiegészítők telepítése, kezelése,
• Több lábas clusterek építése, üzemeltetése (PATRONI HA / RAC – DATAGUARD / GALERA),

• 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

Building, maintaining, and optimizing the global BI and Analytics platform Designing, implementing, and supporting data artifacts in the database and data lake Developing, testing, and maintaining data extract, load, and transformation (ELT/ETL) pipelines and data flows Creating and enhancing data...

Building and optimizing scalable data warehousing and lakehouse solutions Creating and owning robust ELT pipelines connecting multiple internal and external data sources Designing and implementing data models aligned with industry best practices Contributing to architectural decisions with...

Maintaining and evolving existing data platform Building processes to ingest data from Kafka, APIs and Databases using AWS MSK Connect Development and maintenance of real-time data processing applications using frameworks like Spark Structured Streaming and Kafka Streams Applying transformations to...

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,...

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...

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) Integration of data ingestion, processing,...

Setting technical direction across teams Driving AI-native and cloud-native architecture and long-term system evolution Leading design of secure, scalable MCP hosts and AWS microservices Balancing performance, reliability, and cost in system design Influencing AI adoption through AI first solution...

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 and management of data lakes and Lakehouse...