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

Designing, configuring, and implementing Identity Governance & Administration (IGA) solutions including joiner-mover-leaver lifecycle, access certification campaigns, role-based and attribute-based access control (RBAC/ABAC), and Segregation of Duties (SoD) controls...

• 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

• 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, differentiating between a working query and an efficient one

• 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

• Analyzing and understanding business, functional and technical requirements and working with stakeholders to clarify acceptance criteria
• Coordinating testing activities within a Scrum Software Development Team and contributing to the further development of the overall test strategy

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...

• Designing and maintaining automated deployment pipelines
• Supporting and operating Kubernetes-based platforms and containerized workloads
• Managing infrastructure provisioning and configuration using Terraform
• Deploying and supporting Apache Kafka environments

• 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 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

• Pentest folyamatok részleges automatizálása
• Sérülékenységvizsgálati eredmények AI-alapú feldolgozása
• Saját tudásbázis és RAG-rendszer kialakítása
• Pentest jelentések automatikus generálása
• Eredmények strukturálása, validálása és priorizálása
• On-premise LLM-alapú rendszer fejlesztése

• Implementing end-to-end analytics and dynamic visualizations in Tableau, ThoughtSpot, SAP Analytics Cloud, or equivalent enterprise BI platforms
• Preparing, transforming, and modeling data using SQL, Python, or dbt - leveraging enterprise cloud environments like Snowflake and Microsoft Azure

Automatizálás és digitalizáció: a manuális hibakeresési, KPI-ellenőrzési és vizsgálati folyamatok kiváltása okos, automatizált megoldásokkal és scriptekkel...

• Ügyféligények megértése, egyeztetése majd ezek alapján részletes funkcionális specifikáció készítése
• Fejlesztési folyamat támogatása
• Tesztesetek, tesztelési forgatókönyvek készítése, közreműködés a tesztelések végrehajtásában, folyamatos kapcsolattartás az üzleti területekkel

Designing and implementing enterprise-scale data pipelines and advanced analytics dashboards, including solutions powered by artificial intelligence-enabled analytics tools such as Microsoft Copilot Agents and Claude...

• Taking part in the BAU development tasks
• Designing, implementing, and delivering high-quality software solutions that conform to architectural standards
• Optimizing and refactoring existing code for improved reliability and performance
• Understanding and reworking/improving the existing codebase

Designing, optimizing, and extending transaction surveillance and data pipeline processes to enhance system efficiency, reliability, and scalability...

• Designing, developing, and implementing complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments (Azure, AWS, or GCP)
• Designing, building, and optimizing modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality

• Designing and implementing modern data architectures and lakehouse solutions (Databricks, Snowflake, Azure, AWS)
• Providing technical leadership throughout the project lifecycle and collaborating with business stakeholders

• Shaping transformations in exciting S/4HANA transformation projects from planning to execution
• Designing and developing SAP-based software solutions, architectures, and transformation scenarios for well-known companies across various industries