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

• Delivery on complex data engineering projects across industries
• Leading small delivery teams
• Managing customer relationships alone or with a Project Manager
• Mentoring more junior engineers
• Evaluating the quality of junior engineers' work
• Contributing to hiring best-in-class data engineers

• Search, collect, consolidate, and validate financial and non-financial data across departments and systems
• Design, build, maintain, and automate dashboards and underlying data pipelines to provide timely, accurate insights to stakeholders

• Design the behavioural telemetry event and entity-state schemas and write the instrumentation specification
• Own the measurement standard including canonical definitions, naming, field ownership, versioned change control

• Development, governance, deployment, and ongoing enhancement of liquidity analytics models and supporting infrastructure across asset classes
• Driving the analytics product lifecycle, including prioritizing initiatives, influencing roadmap decisions, and ensuring successful deployment into production

• 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

• 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

• Design and develop distributed backend services using .NET and event-driven architecture
• Collaboration with product and commercial teams to turn engagement ideas into scalable, maintainable, and user-friendly solutions

• Fejlesztés, karbantartás és támogatás felhőalapú adatműveleti infrastruktúrán és termelési adatcsatornákon
• Tervezés, megvalósítás, működtetés és optimalizálás Azure-alapú adat szolgáltatások és Databricks munkaterhelések terén

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• 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

• Implementation and support of VB.NET based software solution
• Participation in the run and maintain team

• Participation in design, POCs and development of complex tasks
• Ensuring high-quality delivery by developers
• Working closely with architects to communicate, align and implement architecture direction
• Aligning with other tech leads to ensure technical consistency

Web alapú vállalatirányítási rendszer fejlesztése...

• Folyamatos kapcsolattartás az üzleti terület és IT képviselőivel
• Rendszerszervezési tudást igénylő szakmai feladatok végrehajtása és dokumentálása
• Komplex szakértői közreműködés dokumentációk és folyamatábrák készítésében

• 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

• 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

• PEGA alacsony kódszintű alkalmazásfejlesztés eset típusok, munkafolyamatok és üzleti folyamatok modellezése és megvalósítása a PEGA Platformon
• Újrafelhasználható komponensek készítése több alkalmazásban is felhasználható funkcionális modulok fejlesztése

• Design, build, and maintain backend services and APIs using C#/.NET Core in a cloud (AWS) environment
• Contribute to the development of scalable and secure microservices supporting SaaS products
• Work with Angular to implement and support end-to-end features where needed

• Build and maintain SQL queries and reports that track bookings, pipeline coverage, and conversion
• Monitor CRM data quality to resolve issues at the source
• Analyze pipeline trends and support the weekly forecasting review cadence with clean, accurate data

• Preparation for containerization
• Increasing scalability of systems
• Maintaining high quality of systems
• Re-evaluation of systems design
• Development of new features
• Building a scalable, multi-brand gaming platform