Data sciense Engineer

We are looking for a software engineer who can help us build and advance foundational solutions and data processes, to help deliver data analytics and data science use cases, while balancing security, privacy and ethics of data. The ideal candidate will possess a combination of software engineering, data engineering and business acumen skills. The successful candidate will work in lockstep with Software Engineers, Data scientists, Business analysts, Product Managers, and other stakeholders across the organization. Your responsibility will include the following:

Responsibilities
• Design and implement cloud architectures and infrastructure that support our data science and experimentation projects. 
• Design and develop cloud-based data pipelines for data collection, analysis, and related functions. 
• Provide thought leadership for technical architecture design, development, and deployment to support customer/partners data science scenarios. Identify technical blockers to accelerate architecture implementations and route non-technical issues for removal by the appropriate party. 
• Share ideas, insight, and technical input with virtual team members using a working knowledge of Azure architectures and other relevant products. 
• Participate in security peer reviews to identify and mitigate risks, including code reviews and threat modeling.
• Support team functions by resolving service issues, providing technical guidance and assistance to users, conducting investigations, and creating documentation.

Required Qualifications
• Bachelor’s degree in computer science, or related technical discipline AND coding in languages including, but not limited to C#, Java or Python
o OR equivalent experience.
• Experience developing with cloud-based technologies.
• Experience in modern DevOps practices (including Git, CI/CD)
• Experience and proficient in data modeling, Data pipeline development, and Data warehousing
• "Hands on" Experience creating Proof of Concepts, Minimum Viable Products (MVPs) for customers that lead to production deployments.

Preferred Qualifications
• Experience with Azure Data Lake, Azure Data Factory and Azure Synapse
• Experience with Databricks and Spark SQL
• Experience with Azure ML services, and/or Azure Cognitive services, and/or TensorFlow and/or PyTorch.
• Experience with distributed computing frameworks (e.g., Spark), configuring, and running services in Kubernetes clusters. 
• Experience contributing to Open Source Projects. 
• Experienced agile practitioner with experience in Service Oriented Architectures (SOA) and/or REST.