Python developer állás, munka

• Co-design and implement QA workflows using statistical diagnostics, validation rules, and anomaly detection techniques
• Apply AI/machine learning tools to identify inconsistencies, missing values, or suspicious patterns in large-scale asset datasets

• Consult requestor regarding new demands and transform them into technical requirements for the SAP BW Dev team
• Consult SAP BW users on how to optimize SAP BW usage
• End user documentation in YAM / myWiki
• Support PM/PO SAP BW in PI Planning and execution during sprints

• Building robust automation processes for seamless data integration
• Creating and managing complex data workflows using Apache Airflow
• Streamlining data-related processes and automating data flows with MS Power Automate
• Designing, implementing, and maintaining data integration solutions

• Gather and translate business requirements into data-driven solutions
• Create and maintain dashboards, reports, and semantic data models
• Ensure data quality, consistency, and usability across reporting solutions

• Build and maintain dataset ingestion, cleaning, and versioning pipelines
• Design and operate labeling workflows including quality control and inter-annotator agreement tracking
• Own dataset testing including coverage analysis, class balance, leakage detection, and dataset documentation

adatbázis lekérdezések elkészítése, adathibák feltárása és javítása üzleti igényeknek megfelelő magas szintű figyelem a részletekre az adatinkonzisztenciák, hibák és anomáliák azonosításában és javításában projektjellegű és rendszeres adattisztítási feladatok önálló elvégzése adattisztítási...

• Design, develop, and maintain scalable data pipelines in cloud and hybrid environments
• Contribute to the architecture of enterprise data platforms with a system-oriented mindset
• Work with large-scale datasets using SQL, Spark, and cloud-native tools

• Definition and improvement of metrics reflecting product performance, service quality, and operational efficiency
• Analysis of client behavior and service processes to identify trends, bottlenecks, inefficiencies, and drivers of performance