Senior Data Engineer with SAS/Python

Job Description:

Develops Data integration and automation requirements for Opportunity Analytics and RWE automation working with business and technical teams, business analyst(s) and Data Analyst(s). Develops Technical Requirements for Data Integration Pipelines and frameworks, build test plans and tests integration components for Opportunity Assessments MVP's and Analytics design. API development, Cloud deployment activities, DevOPs, CI/CD, Orchestration, Databricks, Snowflake and Python /Spark Experience. SAS and Health Care Payer Domain is desired. Must have Programming skills – Python, SQL, Spark (4+ years)

· At least 1 year1 of Databricks experience

· At least 2 years of healthcare experience

· At least 1 year of SAS programming experience

Nice to have:

· Good Experience (4+ years) designing, developing, and implementing Cloud solutions, preferably Azure technologies.

· Good Experience (3+ years) on DevOps on cloud solution in Azure / AWS etc. and manage cloud infrastructure/container services like Kubernetes/ Docker etc.

· Overall, 6-8 years’ experience

· At least 1 year of SAS experience

· Experience with designing, configuring, and managing cloud infrastructure (Azure/Databricks)

· Good Exposure to API (REST) web services development & deployment

· Experienced in Docker container orchestration framework using Kubernetes

· Deployments of microservices based applications

· Proficient in using Docker for wrapping up final code and setting up Dev/Test environments

· Hands on experience in Jenkins for CI/CD, Airflow

· Good understanding of Azure

· Experience on DevOps on cloud solution in Azure / AWS etc. and manage cloud infrastructure/container services like Kubernetes/ Docker etc.

· Demonstrated ability in DevOps / Layers of support & operations, managing code.