Sql developer állások V. kerületben (ai és automatizáció)

• Designing scalable solutions
• Building modern user interfaces
• Developing high-performance backend services
• Writing automated tests
• Working with SQL and NoSQL databases
• Contributing across the entire software development lifecycle

• Understanding underlying data structure of an ERP system (Microsoft Dynamics 365 Finance & Operations)
• Creating technical specification (design) documents for functional requirements
• Managing existing and creating new automations using Alteryx, Python, SSIS
• Creating reports and dashboards in Power BI

• 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

• Partnership with data governance and enterprise architecture teams on product, customer and user taxonomies
• Ownership of product measurement standard including canonical metric definitions, naming conventions, field ownership and change control

• Working with cutting edge technology enabling cloud journey
• Building and managing database hosting capabilities using Infrastructure as Code for platform needs
• Building database infrastructure platforms with developers and providing guidance and tooling for distributed systems

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

• Development, governance, deployment, and 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 artificial intelligence and machine learning solutions for enterprise clients
• Assess client needs and data for AI/ML solutions
• Select and customize models including Deep Learning, Generative AI, and Large Language Models

• 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

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping

• Writing and maintaining clean, high-quality, efficient and well tested code that aligns with project specifications
• Architecting and implementing key abstractions that bridge the gap between Software Engineering and DevOps

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Architect and deliver AI/agentic product features including LLM integrations, multi-step agentic workflows, tool-use patterns, RAG pipelines, and intelligent automation

• Development of the Tulip OS
• Maintenance and support of bootloader, kernel, and userspace development for Tulip hardware
• Working alongside product management and customers to identify key features and product performance
• Contributing to strategic planning

• Implementation and maintenance of large-scale data pipelines and the Azure/Databricks data platform
• Building robust, scalable pipelines using Azure Databricks (PySpark / SQL)
• Design and enforcement of data architecture standards including Delta Lake / Lakehouse architecture and data modeling

• Development and continuous enhancement of the system
• Design and implementation of new features within MS Dynamics 365
• Development and maintenance of integrations
• Support and optimization of CI/CD processes
• Close collaboration with development and business teams

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

Design, develop, test, document, and deploy high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

• Lead client discovery and solutioning
• Own the information design layer
• Design and develop executive and tactical BI solutions
• Elevate client reporting maturity
• Leverage AI tools in daily workflow
• Bridge analysis and communication
• Drive semantic model design and development

• Design of high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns
• Development of high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns

• Delivery of complex data engineering projects across industries
• Leading small delivery teams
• Management of 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