Mamsys World | Hiring | Sr Data Engineer 10+ USC, GC, TN//Remote//long term Contract | United States | BigDataKB.com | 2022-09-27

Job Location: United States

Position: Software/Data Engineer/SAS/Python

Location: Remote + Travel

Duration: Contract

 

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 โ€“ Python, SQL, Spark (4+ years)

โ€ขAt least 1 year1 of Databricks experience

โ€ขAt least 2 years of healthcare experience

โ€ขAt least 1 year of SAS programming experience

โ€ขNice 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.

โ€ขOverall, 6-8 yearsโ€™ experience

โ€ขAt least 1 year of SAS experience

โ€ขExperience with designing, configuring, and managing cloud infrastructure (Azure/Databricks)

โ€ขGood Exposure to API (REST) web services development & deployment

โ€ขExperienced in Docker container orchestration framework using Kubernetes

โ€ขDeployments of microservices based applications

โ€ขProficient in using Docker for wrapping up final code and setting up Dev/Test environments

โ€ขHands on experience in Jenkins for CI/CD, Airflow

โ€ขGood understanding of Azure

โ€ขExperience on DevOps on cloud solution in Azure / AWS etc. and manage cloud infrastructure/container services like Kubernetes/ Docker etc.

โ€ขDemonstrated ability in DevOps / Layers of support & operations, managing code

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