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Implementing TypeScript features for AML services (case management, business backends and person service) and customer facing Admin Panel with sound design choices considering performance and error handling...

Designing, developing, testing, documenting, and deploying high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

Designing and building well-architected TypeScript features end to end for AML services (case management, business backends and person service), and customer facing Admin Panel, treating performance, scalability, security and observability as part of the design...

Writing production-quality, well-tested scraper code in Python that needs little rework after review, including comprehensive unit and integration tests written with minimal guidance...

• NET alkalmazások fejlesztése és karbantartása C# és .NET Core technológia használatával
• RESTful API-k és mikro-szolgáltatások fejlesztése
• Adatbázisok (pl. SQL Server, PostgreSQL, NoSQL) kezelése és optimalizálása

• Establishing data feeds with custodian banks, data vendors, and other service providers
• Supporting senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
• Fully automating and centralizing existing data integration processes

• Acting as a strategic project manager to guide customers through a structured onboarding process, including defining timelines and managing milestones
• Coordinating technical setup and overseeing API integration
• Ensuring rule configuration, system testing, and user training

Designing, building, reviewing, testing, and maintaining Ruby on Rails features and services in line with Diligent’s agile engineering practices...

• Participating in backend and frontend development efforts where high-performance and speed play vital role
• Cooperating with product team including UX, UI, and Product management
• Building and coding backend in Node.JS and frontend in React in a complex web application

• Building, operating, and improving production data pipelines using Python, Airflow, Kubernetes, and related technologies
• Designing scalable data pipelines and data models for growing data volumes and processing needs

• Developing, customizing, and maintaining ServiceNow applications, modules, and integrations
• Collaborating with cross-functional teams to understand business requirements and translate them into technical solutions

Embedding in the daily life of up to three engineering teams: Customer Platform (customer-facing applications, APIs, tenant management and provisioning) and Scoring (rules, scoring models and real-time decisioning)...

• Designing, building, and configuring applications to meet business process and application requirements
• Collaborating and managing the team to perform effectively
• Being a subject matter expert
• Making team decisions and engaging with multiple teams
• Contributing to key decisions

• Working together with the client on their requirements
• Transferring requirements to the backlog of understandable and estimable project tasks
• Understanding priorities
• Preparing release/sprint plans
• Focusing on maximum transparency when working with stakeholders

• Support the development of GenAI applications using Python and frameworks such as LangChain or LangGraph.
• Help build and test RAG pipelines for document search, summarization, and question answering.

Providing technical leadership post-sales to guide strategic customers in designing and implementing big data projects, from architectural design to data engineering and model deployment...

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

• Leading the optimisation and continuous improvement of Dynamics 365 Sales
• Gathering requirements and translating business needs into effective solutions
• Facilitating workshops and collaborating with stakeholders at all levels
• Designing and implementing scalable processes, workflows and automations

• Supporting the migration of ETL pipelines between source systems and Snowflake
• Using SQL to validate data, check data quality, reconcile datasets, and identify discrepancies
• Monitoring pipeline executions, investigating issues, and helping resolve technical blockers

• Leading a Snowflake migration project, supporting the migration of ETL pipelines between source systems and Snowflake
• Assigning tasks, tracking progress, and ensuring smooth day-to-day delivery