Data engineer f m d állás, munka

• Data pipeline-ok tervezése, fejlesztése és karbantartása, nagy mennyiségű adat hatékony feldolgozására és tárolására
• Adattárolási struktúrák (pl. data lake, data warehouse) kialakítása és optimalizálása
• Adatpiacok (data mart) fejlesztése és üzemeltetése az üzleti igényeknek megfelelve

• Participate in the lifecycle of data science projects, incl. design and development of data processing and monitoring pipelinesWork with the state-of-the-art cloud infrastructure (AWS, Databricks)
• Assemble large, complex data sets to meet functional / non-functional business requirements

• Data Engineering fejlesztési projektek támogatása; 
• Projekt dokumentumok és információk beszerzésében, kezelésében, naprakészen tartásában való részvétel; 
• A projekthez kapcsolódó kutatómunka és fejlesztések elvégzése; 
• A projektekhez kapcsolódó prezentációk elkészítése; 

• Design, develop and optimize data pipelines and backend systems using Python, SQL, and Unix/Linux scripting.
• Build and maintain complex SQL solutions across Sybase and DB2, including stored procedures, functions and performance tuning of queries.

• Szereted a kihívásokat és szívesen irányítanád egy innovatív kisvállalati platform fejlesztését
• ️Otthonosan mozogsz a digitális világban és van tapasztalatod kisvállalati felhő alapú szoftverek fejlesztésében, különös tekintettel az új funkciók specifikálására és a fejlesztés koordinációjára

• Develop and maintain a proprietary trading system within a high-performance crypto finance environment.
• Implement technical specifications end-to-end, covering both backend Python components and frontend interfaces.

• Research, design, and implement complex product features and functionalities for cutting-edge cloud technologies as part of SAP Business Technology Platform
• Commit to project timelines and tasks, deliver on time, in scope, and with high, uncompromised quality

• Support the team across the entire project lifecycle, from data exploration and feature engineering to applying machine learning techniques and supporting applications.
• Contribute to innovative solutions in financial crime prevention and credit risk assessment.

You will focus on one or more of the following topics: - Contribute to the design of antennas, phased arrays, and CATR subsystems (reflectors, feeds) using CST Microwave Studio. - Develop calibration and post processing algorithms (e.g., quiet zone characterization, near field to far field...

Design and develop machine learning models and algorithms for various applications. Test and evaluate the performance of these models and algorithms. Collaborate with the applied science teams to develop and implement NLP solutions for processing large document sets. Develop and support semantic...

• Develop, monitor, and document data pipelines in Azure Data Factory and Databricks.
• Assist in data analysis and troubleshooting to ensure smooth data flow across the platform.
• Build Power BI reports and contribute to new data models used by the business.

• Integrate an existing monitoring framework into our autonomous driving stack
• Apply monitoring during motion planning
• Review the temporal logic specifications of the highway traffic rules and possibly adapt them

• You technically lead the internal development of cloud and on-premises software.
• You communicate with external technical leaders to ensure compliance with internal needs and company guidelines.
• You are a trusted fellow, always ready to help colleagues with their daily problems and questions.

As part of a great agile team, you will be involved in all phases of the development lifecycle - from conception and design through to coding, code reviews, testing and delivery....

Take responsibility for full-stack SAP development Continuously enhance components and the development toolchain according to SAP best practices. Execute and participate in testing activities in collaboration with insert team, e.g., QA or Business teams Perform code quality checks and conduct code...

• Develop and optimize our job data crawling pipeline, ensuring high-quality job data acquisition.
• Implement and refine import mapping, improving data accuracy and classification.
• Support the integration of external data sources via APIs or scraping frameworks.