Data Engineer

at  CVS Health

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• Platforms: Snowflake, Kubernetes, Kubeflow, Tensorflow, Azure Cloud, Teradata

• Languages: Kubectl, SnowSQL, Python, Pyspark, Scala
• Ability to design and build a framework to orchestrate data pipelines and Machine Learning models
• Experience with scaling workloads on GPUs and deep neural networks
• Experience with serving models using KFServing etc.,
• Experience with scaling using Dask
• Familiarity with building data pipelines, data modeling, architecture & governance concepts
• Experience implementing ML models and building highly scalable and high availability systems
• Experience operating in distributed environments including cloud (Azure, GCP, AWS etc.)
• Experience building, launching and maintaining complex analytics pipelines in production
• Familiarity with data modeling, data architecture and governance concepts
• Proficiency with tools to automate workflow and data pipelines (e.g., Gitlab, Jenkins, Control-M)
• Should be able to aggregate huge amount of data and information from large numbers of sources to discover patterns and features necessary to build machine learning models.
• Design and implement end-to-end solutions using Machine Learning, Optimization, and other advanced computer science technologies, and own live deployments.
• Expertise in specialized areas such as Optimization, NLP, Reinforcement Learning, Probabilistic Inference, Machine Learning, Information Retrieval, Recommendation Systems.
• Experience with frameworks for either Machine Learning or NLP (Scikit-Learn, SpaCy, Pytorch, Tenosrflow, Spark NLP)
• Exposure to Healthcare Domain knowledge. Master’s in Data Science or Business Analytics
• Experience with cloud computing environment (ideally Microsoft Azure) and the organizational risks of transitioning from on-prem to cloud infrastructure.

EDUCATION

Bachelor’s degree or equivalent work experience in Mathematics, Statistics, Computer Science, Business Analytics, Economics, Physics, Engineering, or related discipline. Master’s degree preferred

Please refer the Job description for details