• 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 :- 20th Oct 2025

• 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
• Design highly saleable and extensible Big Data platforms which enables collection, storage, modeling, and analysis of massive data sets from numerous channels
• Define and maintain data architecture, focusing on applying technology to enable business solutions
• Assess and provide recommendations on business relevance, with appropriate timing and deployment
• Perform architecture design, data modeling, and implement CVS Big Data platforms and analytic applications
• Bring a DevOps mindset to enable big data and batch/real-time analytical solutions that leverage emerging technologies
• Develop prototypes and proof of concepts for the selected solutions, and implement complex big data projects
• Apply a creative mindset to a focus on collecting, parsing, managing, and automating data feedback loops in support of business innovation.

Required Qualifications:
• SQL and Python, with 2+ years hands-on coding experience with both

• Experience with REST API/Microservice development using Python

• Experience performing data analysis and data exploration
• Experience working in an agile delivery environment
• Strong critical thinking, communication, and problem solving skills and a quick learner

• Experience partnering cross-functionally with other technical teams (i.e. data ingestion, data science, operational systems) to align priorities and achieve deliverable outcomes

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

• Ability to understand complex systems and solve challenging analytical problems

• Ability to learn from a Senior Data Engineer

Preferred (Plus) Qualifications:

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

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

• Experience building automated big data pipelines
• Experience with Snowflake, Databricks or any big data frameworks on Spark

• Experience with RDBMS and NoSQL Databases and hands-on query tuning/optimization
• Experience with orchestrating pipelines using tools (i.e. Airflow, Azure Data Factory)
• Experience with data modeling and system architecture design
• Experience with deployment/scaling of apps on containerized environment (i.e. Kubernetes, AKS)
• Experience with bash shell scripts, UNIX utilities & UNIX Commands
• Previous healthcare experience and domain knowledge
• Exposure/understanding DevOps best practice and CICD (i.e. Jenkins)