Sql developer állások X. kerületben (adatbázisszakértő)

• Designing and implementing data fabric architecture across heterogeneous data sources and platforms
• Developing scalable ETL/ELT pipelines for batch and real-time data integration
• Integrating structured and unstructured data from databases, APIs, SaaS applications, data lakes, and enterprise systems

• Owning the data models and storage architecture behind AI systems, across relational, graph, and retrieval-oriented data
• Building and operating the APIs, backend services, and pipelines that keep data current and accessible

• 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

Developing a thorough understanding of the Sage Workplace Management operating model, contractual requirements and reporting objectives to ensure all Business Intelligence activities support successful contract delivery...

• 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 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

• 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

• 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

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...

• 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

• Oracle, Microsoft SQL Server és PostgreSQL adatbázisok napi üzemeltetése és felügyelete Linux és Windows Server platformon
• Mentések ellenőrzése, visszaállítási feladatok és tesztek végrehajtása
• Felhasználó és jogosultságkezelés, adatbázis objektumok kezelése

Tervezés komplex, nagyvállalati alkalmazások megvalósításában, fejlesztésében, tesztelésében és dokumentálásában...