Lead Python developer with data engineering skills

Lead Python Developer with Azure, Kubernetes, Docker

• Knowledge of software development principles and Object-Oriented development and design patterns.
• Experience with back-end technologies such as Oracle, SQL Server, .NET, REST API, Linux, Apache Spark, microservices, etc.
• Focus on building scalable and high-performance systems. <--- Candidates should have experience on Enterprise systems doing large high performance work
• Strong knowledge of Python programming language and its frameworks, with a focus on back-end development .
• Background/experience in C# is a plus.
• Working experience/knowledge of Azure (Kubernetes, Data Factory, Containers/Pods/Docker, Batch/Parallel HPC (High-performance computing) [ AWS is ok as long as they can learn the Azure equivalent ]
• Understanding of parallel programming concepts and packages parallelization/multiprocessing/cloud .
• Experience writing SQL queries and stored procedures on large datasets with an emphasis on performance .
• Ability to take ownership of systems and drive innovation, introducing new technologies and approaches to improve system performance and functionality.
• Ability to write clean, maintainable, extensible, and well-documented code.
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.

Pre-screening interview video (5-10 min long)

1. Discuss approach to software design (Design patterns, working with Queues/EventHub, separation of layers, etc.)
2. Discuss approach to parallelization / multi-threading / scaling complex software
3. Discuss knowledge and use of Cloud technology: docker / containers / Kubernetes / pods / clusters

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