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

• Maintaining and evolving data structures
• Building new ETL flows and maintaining or improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

• Maintaining and evolving data structures
• Building new ETL flows and maintaining or improving existing ones
• Designing new data structures and data modelling concepts
• Ensuring data quality by verifying data consistency and accuracy
• Creating data validation methods

• Több forrásrendszeren átívelő töltési folyamatok tervezése, dependenciák megállapítása
• Üzleti adattárház architektúra tervek kialakítása
• Az adattárházban az adat életút teljeskörű logikai kontrolálása
• Az adatbázis, adatfolyam fejlesztésekhez tartozó üzleti igény és koncepcióterv elkészítése

• Folyamatosan értékeled és optimalizálod a tesztautomatizálási megoldásainkat (lefedettség, stabilitás, karbantarthatóság, futási idők)
• Az automata tesztelő csapattal együttműködve alakítod a közös munkamódszereket és a szakmai fejlődési irányokat

Data Quality Monitoring: Regularly assess and monitor data quality across various databases and data sources to identify and rectify inconsistencies or errors....

• Microsoft SQL Server operation including maintenance, migrations, administration, configuration
• Support for developers, testers and DevOps engineers about best practices in database operation

• Tackling complex technical challenges focused on scalability, reliability, and speed
• Maintaining a high-performance infrastructure that processes millions of events with low latency
• Collaborating with Data Scientists and Engineers to design and implement cutting-edge feature topologies

• Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• Develop and maintain the platform’s core capabilities such as orchestration, data quality validation, and schema management tools

• Configuration of the P&P platform end to end across frontend and backend
• Tuning and optimization of forecast and attribution models to match client data and business logic
• Writing custom business logic in SQL, Python, or Go for non-standard configuration

• Preparation of business concept and business strategy
• Review, analysis and evaluation of business systems, user requirements and processes
• Definition of business goals and KPIs
• Cooperation with developer and testing team
• Participation in User Acceptance Testing

• Writing reusable, testable, and efficient code mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integration of data storage solutions
• Handling security and data protection professionally and precisely

• Writing reusable, testable, and efficient code mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integration of data storage solutions
• Handling security and data protection professionally and precisely

• Writing reusable, testable, and efficient code mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely
• Providing technical solutions and implementing new software features collaboratively

• Technical management of a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients

• Support KPI governance across core supply chain metrics including Inventory Above/Below Entitlement, Slow-Moving Inventory, End-of-Life Inventory, Delivery, and Quality
• Refresh, validate, and prepare data required for the monthly governance cycle

• Design and build agentic systems that plan, call tools and automate real business workflows
• Develop LLM-powered applications including RAG pipelines: chunking, embedding, retrieval strategies, evaluation and iteration

• Preparation of business concept and business strategy
• Review, analysis and evaluation of business systems, user requirements and processes
• Definition of business goals and KPIs
• Cooperation with developer and testing team
• Participation in User Acceptance Testing

• Writing reusable, testable, and efficient code mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely
• Providing technical solutions and implementing new software features collaboratively

• Understanding business requirements
• Preparation and reconciliation of IT specifications (System Design, Logical Design)
• Cooperation with developer and testing team including participation in bug analysis, IT & Business testing, and active participation in change management

• Development, testing, and maintenance of data pipelines to extract, transform, and load (ETL) data from various sources
• Writing high-quality, maintainable Python code
• Participation in code reviews
• Participation in technical discussions for tool selection and architectural decisions