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We are looking for a highly skilled Senior Software Engineer to join our team on Project Insights, a cutting-edge, data-driven platform delivering scalable, cloud-native solutions. This role is perfect for an engineer with deep back-end development expertise in C#/.NET and a strong background in big data technologies, who thrives on solving complex data challenges at scale.
Job Responsibility:
Architect and develop robust back-end services using C# and .NET, ensuring high performance and scalability
Design and optimize big data pipelines and ETL/ELT workflows leveraging Databricks and Azure Data Lake
Build and maintain RESTful APIs, integrating seamlessly with internal and external systems
Collaborate with DevOps to enhance CI/CD pipelines and deployment automation
Deploy and manage containerized applications using Kubernetes (k8s) for scalable cloud environments
Ensure code quality and maintainability through Git workflows, code reviews, and automated testing
Actively participate in Agile ceremonies, contributing to sprint planning, retrospectives, and daily stand-ups
Requirements:
Expert-level proficiency in C# and .NET Framework/Core, including advanced software design patterns
Proven experience building high-performance back-end systems and API-driven architectures
Strong hands-on experience with Azure Cloud Services and cloud-native development
Practical knowledge of big data ecosystems, including data lakes and distributed data processing
Proficiency in Databricks, SQL, and Entity Framework
Solid understanding of async/await, Task-based programming, and concurrency patterns
Familiarity with Git and modern version control practices
Excellent problem-solving skills and ability to work in a fast-paced, agile environment
Nice to have:
Bachelor’s degree in Computer Science, Engineering, or related field
5+ years of experience in back-end development and API design
Deep understanding of big data principles (distributed computing, data partitioning, CAP theorem)
Experience building ETL/ELT pipelines for large-scale data ingestion and transformation
Exposure to Kubernetes and container orchestration
Familiarity with Python or Scala for data engineering tasks
Experience with data visualization tools (e.g., Power BI)
Working knowledge of Agile methodologies (Scrum, Kanban)
What we offer:
A great team and culture
An exciting career as part of a world-leading software company providing solutions for architecture, engineering, and construction
An attractive salary and benefits package designed to reward your expertise
A commitment to inclusion, belonging, and well-being through global initiatives and resource groups
A mission-driven company dedicated to advancing the world’s infrastructure for a better quality of life
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