Senior Data Engineer 1/Development Lead

Overall, 10 to 12 years of experience. Leads Data integration and automation requirements for Opportunity Analytics working with business and technical teams, business analyst(s) and Data Analyst(s). Reviews Technical Requirements for Data Integration Pipelines and frameworks, validates 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. Ideally 2-3 years healthcare experience• Experience developing well documented, modular, testable code by setting maintaining/setting coding standards and data quality objectives• Experience successfully delivering and maintaining software solutions• Good Experience (5+ years) designing, developing, and implementing Cloud solutions, preferably Azure technologies.• Good Exposure to API (REST) web services development & deployment.• Must have Programming experience - Python, SQL, Spark• Must have Databricks experience• Good Experience (5+ years) on DevOps, CI/CD on cloud solution in Azure / AWS etc. and manage cloud infrastructure/container services like Kubernetes/ Docker etc.