Sql állások XVIII. kerületben (adatbázisszakértő)

Implement and maintain large‑scale data pipelines and the Azure/Databricks data platform in close collaboration with the Architect, contributing to design discussions and proposals. Build robust, scalable pipelines using Azure Databricks (PySpark / SQL), integrating data ingestion, processing,...

Set technical direction across teams, driving ai-native and cloud-native architecture and long-term system evolution Lead design of secure, scalable MCP hosts, and AWS microservices, balancing performance, reliability, and cost Influence AI adoption through AI first solution design, model guidance,...

Deliver complex data engineering projects individually or by leading small delivery teams Work with EMEA and US customers to solve data engineering, ML, ML Ops, and cloud migration challenges Set up new data architectures from scratch Guide customers through adopting the latest technologies Manage...

Design, implement, review, and test features in an Agile environment Contribute to system architecture and shape the future-state design of the platform Build and optimize scalable data processing solutions Develop and integrate AI/ML capabilities into data workflows Prototype and validate backend...

Develop highly scalable services realizing AI/ML functionalities (e.g. NLP, ML and AI models). Implement various machine learning solutions addressing computer vision and NLP use cases. Work with Large Language Models (LLMs), perform prompt engineering tasks. Design and implement data...

Maintaining and evolving our 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...

Meglévő és új online banki core rendszerek fejlesztése piacvezető bankban Hangsúlyosan backend (webservice) és kövér kliens fejlesztési feladatok ellátása Adatbázisfejlesztési feladatok...

Architect and implement cloud-native data solutions using GCP (BigQuery, Dataflow, Pub/Sub, Dataproc, Cloud Composer, Cloud Storage) Lead the design and development of complex data pipelines and distributed processing frameworks that ensure scalability, performance, and operational reliability...

Design various RESTful APIs and backend databases in multi region environment. Contribute into targeting engine and segmentation pipelines. Develop automations and tests to ensure system stability. Collaborate with various Engineering and Business teams on their needs. Drive innovation in Data...