Sql developer állások X. kerületben (it programozás, fejlesztés)

• Zöldmezős projekt backend kivitelezésében való részvétel 
• Microservice-ek fejlesztése és fenntartása 
• RESTful API-k tervezése, elkészítése és dokumentálása (OpenAPI) 
• Saját és 3rd party szolgáltatások integrálása 
• (Kód)minőség magas szinten tartása (code review) 

Analysis, design and development or further development of company-wide and cross-disciplinary web-based and mobile software applications (based on MS Power Apps / MS Power Platform) used by Formel D Group and/or customers, taking into account the IT strategy and the Formel D Group IT guidelines,...

• MES rendszer fejlesztése, üzemeltetése
• Kapcsolódó üzleti folyamatok megértése, elemzése, leképezése
• Teljes körű rendszertámogatás gyógyszeripari termeléshez kapcsolódóan

• Provide data-driven support to the Network Development team.
• Support strategic decision-making through data-driven insights and strengthen the company’s data-driven way of working.

• Collaborate with business stakeholders to identify opportunities and translate business challenges into actionable Data Science and AI use cases.
• Design, develop and evaluate machine learning models using statistical methods, supervised and unsupervised learning techniques.

• Investigate data quality issues, anomalies, reconciliation breaks, and inconsistencies across multiple systems.
• Perform structured root cause analysis (RCA) to identify underlying data and process issues.
• Trace data through different processing stages to understand where errors originate.

• Geographic information systems, spatial analysis, and map server infrastructure
• Maintain a performance oriented GeoServer and database
• Create new features based on specification
• Actively take part in the system design
• Optimize data flows, build automated data piplines

• Geographic information systems, spatial analysis, and map server infrastructure
• Maintain a performance oriented GeoServer and database
• Create new features based on specification
• Actively take part in the system design
• Optimize data flows, build automated data piplines

• Design and own the Azure Native Data & AI Platform architecture
• Lead Azure Databricks platform implementation and evolution
• Define enterprise data, analytics, ML and AI platform standards and best practices
• Design Lakehouse and Medallion architectures

• Act as the escalation point and lead investigator for high-impact data exceptions, breaks, and reconciliations.
• Systematically trace end-to-end data lineage across multi-hop data pipelines (ingestion, staging, transformation, reporting layers) to isolate defect origins.

• Designing, developing, and maintaining data ingestion and processing pipelines across different data platforms
• Developing and optimizing batch and streaming data pipelines using Python, SQL, and distributed processing technologies

Automatizálás és digitalizáció: a manuális hibakeresési, KPI-ellenőrzési és vizsgálati folyamatok kiváltása okos, automatizált megoldásokkal és scriptekkel...