Technologies állások XIV. kerületben (adatbázisszakértő)

• Collaborate to the building, improvement and optimisation of the Customer Analytics process and related systems.
• Contribute to the development of the Customer Analytics Roadmap and translate it into actionable plans.

• Design and build Agentic AI systems (planner/executor patterns, tool calling, memory strategies)
• Adapt and deploy LLMs, including fine-tuning and optimizing performance
• Implement and improve RAG (retrieval-augmented generation) pipelines

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,...

Design, develop, and maintain scalable data pipelines and systems to support data integration and analytics Establish best practices for data management, including data quality, data governance, and data security Collaborate with stakeholders to understand data requirements and deliver actionable...

Implementation and maintenance of large-scale data pipelines and Azure/Databricks data platform Building robust, scalable pipelines using Azure Databricks (PySpark / SQL) Design and enforcement of data architecture standards including Delta Lake / Lakehouse architecture and data modeling Management...

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...

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...

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...