Sql állások XXIII. kerületben (adatbázisszakértő)

• Adatmigrációs folyamatok áttekintése, fejlesztések kivitelezése (Power BI)
• SQL programozói feladatok ellátása
• Üzleti folyamatok feltérképezése, hatékonyságának javítására való javaslattétel
• Fejlesztési specifikációk elkészítése, fejlesztési dokumentáció
• Ellenőrző, támogató riportok készítése

• Leading a data engineering team comprising 5-6 consultants
• Overseeing project delivery
• Managing and mentoring the team
• Ensuring successful execution of data engineering projects
• Ensuring successful execution of ML/MLOps projects
• Ensuring successful execution of cloud migration projects

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

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

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

• Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• Develop and maintain the platform’s core capabilities such as orchestration, data quality validation, and schema management tools

• 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

Performing tasks related to the position....

• Delivery on complex data engineering projects across industries
• Leading small delivery teams
• Managing 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

• Designing scalable solutions
• Building modern user interfaces
• Developing high-performance backend services
• Writing automated tests
• Working with SQL and NoSQL databases
• Developing modern web applications using JavaScript/TypeScript and a modern UI framework
• Building scalable backend services with .NET / C#

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

• 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

• Implementation and support of VB.NET based software solution
• Participation in the run and maintain team

• Development, maintenance and support of cloud-based data operations infrastructure and production data pipelines
• Design, implementation, operation and optimization of Azure-based data services and Databricks workloads

• Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• Develop and maintain the platform’s core capabilities such as orchestration, data quality validation, and schema management tools

• Dashboard development with Power BI to visualize sustainability data and metrics
• Data integration from various sources including internal databases, external APIs, and third-party platforms
• Client reporting with customized visual analytics solutions

• Design and implement data fabric architecture across heterogeneous data sources and platforms
• Develop scalable ETL/ELT pipelines for batch and real-time data integration
• Integrate structured and unstructured data from databases, APIs, SaaS applications, data lakes, and enterprise systems

• Microsoft SQL Server operation including maintenance, migrations, administration, configuration
• Support for developers, testers and DevOps engineers about best practices in database operation

• Managing and migrating ETL pipelines between various source systems
• Validating pipeline build success and output data quality
• Communicating with business stakeholders and SME's regarding their respective data domain
• Analysing and resolving blockers and issues with ETL pipelines and data discrepancies

• Setup, operation, maintenance, and reliability of databases used for IT service operations and ITSM processes
• Operation-relevant databases supporting service management, monitoring, reporting, and operational tooling