Data science állások, munkák programozó, fejlesztő kategóriában

• Consulting and technical expertise on the Salesforce platform
• Collaboration with experts for Salesforce technology integrations
• Setting up new business units in Salesforce Marketing Cloud including data points and FTP configuration

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

• High-performance simulation loops, autonomous behavior, and data-oriented design
• Improve system performance, proactively indetify technical debt
• Understanding and optimize complex dataflows
• Designing, improving, extending existing architecture
• Create technical specification based on business needs

• Delivery of complex data engineering projects individually or by leading small delivery teams
• Management of customer relationships alone or in collaboration with a Project Manager
• Support of pre-sales process
• Mentoring of more junior engineers
• Contribution to hiring best-in-class data talent

• Conduct data quality assessments and audits across enterprise systems, primarily focusing on financial master data.
• Identify, document, and coordinate the resolution of data quality issues with business stakeholders, IT, and master data teams.

• 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

• Dashboard development for sustainability data visualization
• Data integration from various sources for comprehensive reports
• Client reporting collaboration with sustainability team
• Data analysis to identify trends and insights for sustainability initiatives

• 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

• Design and build scalable data warehousing and lakehouse solutions
• Operate scalable data infrastructure and lakehouse solutions
• Create and own robust ELT pipelines connecting multiple internal and external data sources
• Design and implement data models aligned with industry best practices

• Development of new Outsystems applications
• Analysis of existing processes and workflows with used tools such as Excel-based forms
• Collection of use-cases and definition of design elements
• Definition of solution architecture

• Design end-to-end cloud solutions supporting digital products and business initiatives.
• Translate business requirements into scalable, secure, and cost-efficient architectures.
• Drive cloud adoption, modernization, and architecture best practices across the Digital Factory.

• Developing the following: Standalone Java application, CI/CD tools, Bioinformatics tools, Data visualization, Performance critical algorithms
• Ownership of specific software components and managing their life cycle.
• Supporting the development team in algorithm research and development

• Create robust and scaleable services in a performance focused environment
• Implement complex features based on specification
• Maintain and transform already existing code and database
• Improve system performance, proactively indetify technical debt
• Actively participate in the desing of the application

• Folyamat automatizálási, robotizálási (RPA) és Power Apps megoldások tervezése
• Automatizált folyamatok fejlesztése, konfigurálása, tesztelése és dokumentálása – projektek teljes életciklusának végig követése
• Automatizált folyamatok kontrollja, felmerülő problémák elemzése és megoldása

• Development, optimisation, and maintenance of backend services using Java (Spring Boot)
• Contribution to design decisions for new and existing projects
• Deployment and scaling of applications in AWS (ECS, Lambda, S3, DynamoDB, etc.)

• 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

• Contribute to MDM strategy development
• Contribute to IT projects, developments to ensure the satisfaction of stakeholders
• Lead the professional execution of solution design, implementation and unit testing activities
• Participate in ERP related projects as Developer

• Műszaki projektek állapotának követése
• Kapcsolattartás meglévő ügyfeleinkkel személyesen, telefonon, emailen
• Emlékeztetők, jegyzőkönyvek megírása
• Projekt dokumentumok önálló precíz elkészítése
• Projekt adminisztrációs követelményeinek betartása
• Dokumentumok leadási határidejének figyelése, betartása

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...

• 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