Data science állások Érden (adatbázisszakértő)

• Design, development, and continuous improvement of the Data Warehouse environment 
• Development and optimization of ETL processes
• Administration and operation of complex SQL cluster environments 
• Re-engineering and modernization of existing SQL cluster architectures

Assessment/blueprinting of enhancements and projects providing ensuring solutions meet or exceed business value propositions and meet architectural policies....

• üzleti specifikációk és szakmai iránymutatások alapján a vállalati adatmodellek megtervezése, módosítása és fejlesztése
• felhőalapú és on-premise adat-infrastruktúra fejlesztése és karbantartása
• automatizált élesítési és deployment folyamatok kialakítása és működtetése az adatplatformhoz kapcsolódóan

• Design, build, and maintain robust data pipelines that are scalable, efficient, and meet business needs
• Collaborate with cross-functional teams to understand and translate business requirements into data solutions

• Own and oversee Global Data Platforms (Power BI, AWS, Snowflake), ensuring secure, reliable, and high-performing services
• Monitor, analyse, and report cloud usage and costs, driving transparency and cost optimisation

• Learn data engineering principles
• Learn to design and implement ETL processes and pipelines
• Work with SQL, Python and different programming languages and notebooks
• Learn Power BI report building, Data Bricks and various ETL tools

• Learn Generative AI principles and models
• Learn Large Language Models, Natural language processing
• Work with Different generative AI Tools and uses
• Learn the LLMs, NLP fundamentals, Transformers, and attention mechanism
• Build Custom dataset for LLM, Build your own custom chatbot/AI bot/custom GPT

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...

Work in cross-functional agile teams alongside data scientists, machine learning engineers, product managers, and industry experts to innovate with clients and consulting teams Design and build robust, modular, scalable, and secure data pipelines for machine learning that are deployable,...

Work with C-suite executives to problem-solve key issues and provide actionable recommendations leveraging technology know-how and business sense Play an active role in all aspects of client projects including gathering and analyzing information, formulating and testing hypotheses, developing and...

Defining requirements for reporting and analytical (incl. data science) products Identifying and mapping source systems Preparing detailed functional and data-level specifications for the Data Engineering team (incl. supporting data ingestion, transformation logic, and semantic model needs)...

• Create, design and maintain reporting dashboards (Power BI)
• Manage, extract and consolidate data from multiple sources
• Capture and deliver reporting requirements from several business and finance collaborators
• Create standard and ad-hoc reports for management decisions

• Riport- és dashboard fejlesztési igények elemzése
• Megfelelő technológiák kiválasztása a megvalósításhoz
• Riportok és dashboardok fejlesztése Power BI környezetben
• Agilis csapatmunka nemzetközi környezetben
• Új eszközök és módszerek folyamatos kipróbálása
• Tudásmegosztás a csapaton belül

• Az üzleti adatbázisokhoz kapcsolódó adat-előkészítési feladatok támogatása: adattisztítás, formázás és előkészítés
• Részvétel a célcsoport-kiválasztási folyamatokban: a leválogatási rendszer fejlesztésének támogatása és az adatbázisok standardizálása

Lead the full product lifecycle for compliance applications, from requirements gathering to delivery. Ensure systems and databases align with SEC and FINRA regulations (recordkeeping, surveillance, employee trading, disclosures). Act as the bridge between Compliance, Legal, Engineering, and...

Developing a highly optimized inference framework Running on the world’s largest supercomputers and data centers Working on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features...

Define and improve metrics reflecting product performance, service quality, and operational efficiency Analyze client behavior and service processes to identify trends, bottlenecks, inefficiencies, and drivers of performance Work on problems related to attrition / churn, customer behavior,...

• IT-adatelemzés
• Data scientist feladatok
• Csapatmunka, projektfeladatok
• Alkalmazásfejlesztés
• Feladatok automatizálása
• Gépi tanulási modellek elkészítése

Architect and implement end-to-end cloud data solutions, including data lakes, data warehouses, and real-time analytics platforms. Design, build, and troubleshoot data acquisition pipelines from databases, flat-files, and REST APIs. Apply medallion architecture (bronze/silver/gold) for scalable,...