• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 13th Dec 2023

You will collaborate with business partners to identify opportunities to leverage big data technologies in support of Pharmacy Personalization with a common set of tools and infrastructure to make analytics faster, more insightful, and more efficient. You will design highly saleable and extensible Big Data platforms which enables collection, storage, modeling, and analysis of massive data sets from numerous channels. You will define and maintain data architecture, focusing on applying technology to enable business solutions. You will assess and provide recommendations on business relevance, with appropriate timing and deployment. You will perform architecture design, data modeling, and implement CVS Big Data platforms and analytic applications. You will bring a DevOps mindset to enable big data and batch/real-time analytical solutions that leverage emerging technologies. You will develop prototypes and proof of concepts for the selected solutions, and implement complex big data projects. You will apply a creative mindset to a focus on collecting, parsing, managing, and automating data feedback loops in support of business innovation. 

Required Qualifications:

Required: Bachelor’s Degree in Computer Science, Engineering, Statistics, Physics, Math, or related field with 4+ years of professional or business analytics experience; or Master’s Degree with 2+ years of experience in:

Strong in SQL and Python, with 2+ years hands-on coding experience with both 

Experience building automated big data pipelines

Experience performing data analysis and data exploration 

Experience working in an agile delivery environment

Strong critical thinking, communication, and problem solving skills

Experience with big data frameworks (i.e. Hadoop and Spark)

Experience with cloud-based platforms (i.e. Azure, GPC, AWS)

Experience with Snowflake and hands-on query tuning/optimization.

Experience working in multi-developer environment, using version control (i.e. Git)

Experience with orchestrating pipelines using tools (i.e. Airflow, Azure Data Factory)

Experience with real-time and streaming technology (i.e. Azure Event Hubs, Azure Functions Kafka, Spark Streaming)

Experience with REST API/Microservice development using Python

Experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)

Preferred Qualifications: Previous healthcare experience and domain knowledge

Exposure/understanding DevOps best practice and CICD (i.e. Jenkins)

Exposure/understanding of containerization (i.e. Kubernetes, Docker)

Education: Bachelor’s Degree in Computer Science, Engineering, Statistics, Physics, Math, or related field or Advanced Degree

Preferred: Master’s Degree with coursework focused on advanced algorithms, mathematics in computing, data structures, etc.