Sql developer állások VI. 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 maintain robust, scalable data architectures
• Build and optimize high‑performance data models for analytics
• Partner with business and engineering teams to shape data solutions end‑to‑end
• Lead data integration, transformation, and migration efforts

• Új kollégák IT oldali beléptetésének támogatása (eszközök, hozzáférések, jogosultságok kezelése).
• Kilépésekhez kapcsolódó IT folyamatok koordinálása.
• Napi szintű IT támogatás biztosítása a munkatársak számára.
• A meglévő IT rendszerek, eszközök és szolgáltatások működtetése és karbantartása.

PostgreSQL adatbázisok üzemeltetése Telepítések és verzióváltások Adatbázis teljesítmény elemzése és hangolások Riasztási események kezelése Mentési és visszatöltési feladatok Kapcsolattartás az alapinfrastruktúra üzemeltető csoportokkal (OS, Hálózat, Backup)...

Support daily data production workflows across multiple asset classes including fixed income curves, futures, derivatives, and equity analytics Perform quality assurance checks on incoming vendor data and internally generated analytics Investigate data quality issues such as pricing discrepancies,...

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 Including Fixed Income Curves, Futures, Derivatives, And Equity Analytics Perform Quality Assurance Checks On Incoming Vendor Data And Internally Generated Analytics Assist With Investigating Data Quality Issues Such As Pricing...

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...

Power BI riportok és dashboardok fejlesztése és karbantartása Üzleti igények elemzése és technikai megvalósítása Adatmodellek és adatvizualizációk kialakítása PL/SQL alapú lekérdezések, tárolt eljárások és adattranszformációk fejlesztése Adatminőség és riportok validálása ETL folyamatok támogatása...

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...

Exploration, profiling, cleansing and preprocessing of data for analytics and reporting Design and management of workflows for storing and retrieving vectorised documents for AI use cases Application of embedding models to build AI-driven solutions Leveraging modern AI and machine-learning...

End-to-end MES project implementations Solution analysis including assessment, requirements, process design, and solution design Solution implementation including configuration, development, and testing Implementation and support of VB.NET based software solutions Participation in the run and...

Daily operations ensuring seamless and timely data flow to product pages Identification of opportunities to enhance data pipelines and alerting mechanisms Collaboration with internal and external teams to resolve issues and deliver tactical and strategic initiatives Application of quality...

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,...

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...

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...

Delivery on complex data engineering projects across industries Leading small delivery teams Managing customer relationships alone or with a Project Manager Mentoring more junior engineers Evaluating quality of junior engineers' work Contributing to hiring best-in-class data engineers...

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...