Microsoft Senior Software Engineer - Cloud & Data Engineering 

Czechia, Prague, Prague 

538489514

creating engaging experiencesefficient and agile

- Cutting-Edge Technology: Work with the latest technologies and methods in Generative AI and data management

- Skills and Expectations: Leadership across feature areas with a focus on quality and attention to detail

- Engage in delivering the next-generation Analytics Storage (Unified Analytics Storage) through integrations and query compute capabilities

- Build AI capabilities to analyze next-generation Analytics Storage, develop key metrics, and insights for Retrieval Augmentation Generation (RAG)

- Bachelor's Degree in Computer Science or related technical discipline plus 4+ years of technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.

- Bachelor's Degree in Computer Science or related field plus 8+ years of technical engineering experience, OR

- Master's Degree in Computer Science or related field plus 6+ years of technical engineering experience, OR equivalent experience.

- Conflict Resolution, Data Analysis, Decision Making, Design Readiness, Detail Oriented

- Distributed Systems Application Development, Engineering Lifecycle, Livesite Skills

- Negotiation, Oral Communication, Problem Solving, Process and Solution Curiosity

- Product Lifecycle, Programming Language Transferability, Project Management, Project Vision

- Quality Assurance, Readiness Assessments, Resilient System Design, Runtime Analysis

- Software Development, Software Development Methodologies, Strategic Technical Implementation

- Systems Thinking, Technical Domain, Technology Selection, Testing Process, Writes Code, Written Communication

- Data Platforms and Services: Kusto, Azure Delta Lake Storage Gen 2, Azure Kubernetes Service, Azure Event Hubs, Azure Synapse, Azure SQL Data Warehouse, Databricks, Azure Data Factory, Trino, Spark

- Data Structures and Formats: Delta Tables, Delta Log, Common Data Model

- Data Visualization and Analysis: PowerBI, Grafana, Azure Data Explorer

- Data Warehouse Concepts and Design: Data Warehouse, Database architecture design

- Data Quality and Performance: Data Integrity & Quality, High Performance & Scalability

- Data Monitoring and Reporting: Metrics, Telemetry & Monitoring

- Collaborate with stakeholders to gather user requirements and feedback.

- Lead architectural discussions and create design documents.

- Develop and implement testing plans for quality assurance.

- Produce high-quality, maintainable, and efficient code.

- Drive project planning, estimation, and experimentation.

- Maintain and support live services, implementing solutions to complex issues.

- Integrate telemetry for monitoring and refining products.

- Share best practices and enhance software developer tools.

- Maintain communication with partners and stakeholders.