AWS Cloud Data Engineer

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Help us tame our data. Be part of Data team focused on transforming how chronic disease is managed through application of modern data science & engineering application solutions, catering to both your engineering mentality and desire to make a difference in world. With access to large amounts of related data, you will help create data solutions that simplify care and improve clinical outcomes.

Medtronic Diabetes is focused on transforming diabetes care for better freedom and great health, serving patients across the continuum of diabetes. Our goal is to become a holistic diabetes management company focused on making a real difference in outcomes and cost. We want to transform healthcare toward value-based models by driving both product and business model innovation with the goal of elevating patient experience, improving clinical outcomes and lowering the total cost of care for our customers. Data driven applications and you would be central to making this happen

A Day in the Life

• Design and develop secure data processing platforms for predominantly real time data analytics & data science algorithms
• Build and design robust distributed data processing systems architectures that are highly scalable and performant
• Establish and adhere to strong data engineering best practices
• Keep up with and implement modern data solutions
• Interface with regulatory stakeholders to guide development that conforms to requirements
• Own deliverables from ideation to operating in production, i.e., “If you build it, you run it.”

Must Have:

• Bachelor’s with 4+ years of experience, Master’s with 2+ years of experience. Degree must be in Computer Science, Engineering, Statistics, Math, or similar field.
• Robust and in-depth knowledge of Python, R, or other language used for analytics
• Robust and in-depth knowledge of Java or other compiled language
• Good to have knowledge and experience in Apache Spark, Hadoop, New Relic APM, REST API development, Microservices using Spring boot.
• Good to have knowledge and experience in at least one container platform like Docker, Kubernetes etc.
• Documented experience with application of Continuous Integration/ Delivery
• Experience implementing CIS best practices on AWS 
• Expereince with automated deployment using Cloud Formation and SAM CLI 
• Proficiency with relational database technologies
• Experience in NoSQL technologies including graph, document, and key-value data storage technologies
• Must have experience creating APIs to pull data from one location to another.
• Must have experience in key AWS services like Lambda, DynamoDB, API Gateway, KMS, etc.
• Proficiency in at least one compiled and one scripted language – Python, Java etc.

Nice to Have

• AWS Cloud certification
• Experience in CI/CD and DevOps practices
• Experience with AWS security tools such as DOME9, Rapid7, and Gaurd Duty
• Experience in developing systems for AWS meeting high availability, Performance, security and scalability criteria.
• Self-motivated and pro-active with demonstrated problem solving and critical thinking skills.
• Excellent communication skills - Verbal as well written
• Should be Hands-on developer
• Knowledge and Experience implementing and using Kafka, CloudWatch, ELK, CloudTrail
• Understanding of FDA regulations including (ISO) 13485 
• Experience with metadata management and data governance
• Experience in medical device industry