Software development engineer állás, munka

Adatfolyamok (pipelines) tervezése és fejlesztése: Robusztus, skálázható és biztonságos batch (kötegelt) és real-time (valós idejű) ETL/ELT folyamatok fejlesztése...

• Designing, developing, and maintaining critical applications and systems that enable customers to make the world healthier, cleaner, and safer
• Working with cross-functional teams to deliver robust technical solutions, from cloud-native applications to enterprise integrations

• Designing, developing, and implementing scalable Salesforce solutions across Sales Cloud, Service Cloud, and Health Cloud
• Building and enhancing user experiences using Lightning Web Components (LWC) and Aura Components

• Developing, testing, and maintaining data pipelines to extract, transform, and load (ETL) data from various sources (APIs, Databases, Files)
• Writing high-quality, maintainable Python code and participating in code reviews

• Supporting client projects in reporting transformation and AI-enabled analytics with a consulting-first approach
• Contributing to discovery, design, and MVP delivery, documenting findings and shaping recommendations

• 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

• 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 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

• Full stack fejlesztés Node.js és React technológiákkal
• Technikai architektúra tervezése és alakítása
• Aktív részvétel a terméktervezési és döntéshozatali folyamatokban
• Együttműködés üzleti és technikai stakeholderekkel
• Részvétel release-ekben, deploymentekben és üzemeltetési feladatokban

• Designing, building, and operating enterprise-grade Agentic AI platforms
• Owning architecture and delivery while mentoring engineers and partnering closely with client and internal teams
• Helping organizations run secure AI environments at scale under strict regulatory and security requirements

• 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.

• Részt vétel egy meglévő, Cloudera-alapú adatplatform GCP környezetbe történő migrációjában
• Meglévő adatfeldolgozási pipeline-ok átültetése, optimalizálása és modernizálása
• Új, end-to-end adatfeldolgozási folyamatok tervezése és fejlesztése a forrásrendszerektől egészen az üzleti adatrétegig

• Provisioning and managing Azure/AWS resources as part of real client engagements
• Building IaC and CI/CD pipelines to automate deployments
• Ensuring reliability through monitoring, runbooks, and incident handling
• Applying security patterns across projects

• Designing and implementing pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Actively monitoring and optimizing pipelines for performance and cost
• Configuring pipeline deployments and managing environment settings using IaC tools (Terraform) and CI/CD

• Leading the design and implementation of scalable data pipelines and Lakehouse architectures as the Design Authority
• Solving the hardest technical challenges—optimizing high-load streaming pipelines, debugging complex Spark jobs, and designing generic frameworks

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...

• Delivering independently Data Science projects with an end-to-end product-oriented mindset
• Engaging directly with clients to understand their business objectives and translate them into technical requirements

• Designing, developing, and maintaining data ingestion and processing pipelines across different data platforms
• Developing and optimizing batch and streaming data pipelines using Python, SQL, and distributed processing technologies

• Leading a Core Modelling team building the foundational CAD engine that defines the Shapr3D user experience across all platforms
• Regularly reviewing and challenging engineering design documents, fostering an environment of collaborative problem-solving

• Providing troubleshooting, user support, and post-implementation assistance across supported HR applications
• Acting as a functional expert for SAP HCM and developing expertise across the broader HR application landscape