Sql developer állások IV. kerületben (adatbázisszakértő)

• Skálázható, megbízható és hatékony data pipeline-ok tervezése, fejlesztése és karbantartása
• Adatplatformok, adatbázisok és adattárházak támogatása és fejlesztése az analitikai igényekhez
• CI/CD folyamatok megvalósítása GitHub Actions és JFrog használatával

• riportigények, adatforrások specifikálása
• adatfeldolgozási folyamatok, adathalmazok rendszerezése, adatmodellek kialakítása
• riport megoldások tervezése, specifikálása, kialakítása, dokumentálása
• folyamat monitoring
• Számvitel csoport saját, belső ellenőrzési folyamatainak automatizálása; 

• A fejlesztői csapat senior munkatársaként banki fejlesztésekben fogsz részt venni.
• Az egyes projektekben Te fogod end to end menedzselni az IT területen belüli feladatokat. 

• 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

Collaborate with business counterparts to conduct requirements engineering and design effective solutions Prepare programming requests for internal development team or external developers Coordinate and oversee the work of external consultants and developers Test, implement, and manage the rollout...

Design, write and execute comprehensive test plans, test cases and test scripts to validate ETL/data‑pipeline processes, data transformations, and data integrity (source‑to‑target, cross‑reference, reconciliation). Validate data extraction, transformation and loading processes for accuracy,...

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,...

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,...

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...

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...

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...

Act as a consultant and technical expert on the Salesforce platform by providing support to stakeholders and users. Closely collaborate with experts from other areas to leverage on the Salesforce technologies through integrations with other solutions. Setting up new business units in SFMC including...

Designing and developing platform to fulfil business needs Design new data pipelines Maintain platforms hosted on data streams for batch-loading and real-time visualisations Maintaining and evolving existing data platform Follow and mentor engineers on data modelling following standards e.g. Inmon,...

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...