We are seeking a seasoned Software Engineer to spearhead our Data Intelligence initiatives, ensuring seamless integration and optimal performance across our platforms.
As a Software Architect you will
Architect and Develop: Design, implement, and oversee robust data integration frameworks utilizing C# (.NET Core/8), ensuring high performance and scalability.
Distributed Systems: Participate in the the development and maintenance of distributed systems, ensuring data consistency and reliability across platforms.
Enterprise Software: Drive the development of enterprise-level software solutions, ensuring they meet organizational standards and client requirements.
Azure Knowledge: Deep expertise with Azure public cloud offering for ensuring seamless cloud integration and deployment.
Big Data Expertise: Apply real-world big data experience to manage and optimize large datasets, ensuring efficient processing and storage.
Microservices Architecture: Design and implement event-driven microservices architectures, promoting modularity and scalability.
Data Engineering Oversight: Lead data engineering efforts, ensuring data pipelines are efficient, reliable, and scalable.
Requirements: Proven expertise in C# (.NET Core/8), with a deep understanding of its internals.
Extensive experience in designing and managing distributed systems.
Demonstrated experience in developing and deploying enterprise software solutions.
Strong proficiency with Microsoft Azure and its data integration services.
Solid understanding of microservices architecture, particularly event-based systems.
Proven experience in data engineering, including ETL processes and data pipeline management.
Excellent problem-solving and analytical skills.
Ability to work collaboratively in a remote team environment.
You may also have
GraphDB experience
Experience with data tools such as ETLs, databases, and analytics/reporting platforms.
Proficiency in Python for data manipulation and scripting.
Proficiency in Java/Scala mainly related to graph processing
Experience with big data technologies and real-world applications.
Familiarity with Generative AI (GenAI) technologies and their applications.
Experience with front-end frameworks like Angular.
This position is open to all candidates.
