Data állások XXIII. kerületben (adatbázisszakértő)

• A Sales Igazgatóságot és a Sales Research csapatot támogatod üzleti döntések előkészítésében rövid‑ és középtávú elemzésekkel, adatalapú döntés‑előkészítéssel
• Elemzed az üzleti teljesítményt, feltárod a mögöttes okokat, és konkrét javaslatokat dolgozol ki a további lépésekre

Data exploration, profiling, cleansing, and preprocessing for high-quality datasets Design and management of workflows for storing and retrieving vectorised documents Application of embedding models to build AI-driven solutions Leveraging modern AI and machine-learning techniques including large...

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...

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...

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,...

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...

Big Data rendszer üzemeltetés átvétele Dokumentáció frissítése Alkalmazás és rendszer telepítési automatizáció Ansible segítségével Jogosultság kiosztás Nyomozás Telepítés Üzemeltetés Migrációs projekt Big Data rendszer költöztetés Azure cloud kialakítása Gépi tanulás Mesterséges intelligenciával...

Dashboard development for sustainability data visualization Data integration from internal databases, external APIs, and third-party platforms Client reporting collaboration with sustainability team Data analysis to identify trends, patterns, and insights Quality assurance of data in dashboards and...

Technical and business support for internal and external users of GSCF applications Quick resolution of application issues and leading technical discussions with clients and projects Collaboration with Product, DevOps, and Developers to investigate and resolve reported issues Participation in...

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...

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,...

Design Azure cloud infrastructure to support Databricks and data platform workloads Implement Azure cloud infrastructure to support Databricks and data platform workloads Manage Azure cloud infrastructure to support Databricks and data platform workloads Build Azure resources including Resource...

Design and propose changes to current data systems including migration paths and modernization strategies for legacy architectures Define and evolve the target architecture for data platforms covering ingestion, storage, processing, and consumption layers Design and implement batch and...

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...

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...