We are seeking a highly skilled

to support a strategic

. This role focuses on building and supporting a modern

to enable advanced

. The ideal candidate will have strong hands-on experience with

, along with the ability to work closely with both technical and business stakeholders.

*Key Responsibilities
Design, develop, and maintain data ingestion pipelines for real-world data (RWD) sources
Build and optimize data models within a Databricks Lakehouse architecture
Ensure data governance, quality, and compliance standards are met
Optimize cost, performance, and resource utilization across AWS and Databricks
Collaborate with business and technical stakeholders to translate requirements into scalable solutions
Provide technical guidance, coding standards, and best practices
Support knowledge sharing through documentation and training sessions
Deliver status updates and progress reports to senior leadership
*Required Qualifications
Strong hands-on experience with AWS services (S3, Glue, Lambda, Redshift, etc.)
Proven experience with Databricks (Delta Lake, notebooks, workflows)
Expertise in SQL and Python
Experience building end-to-end ETL/ELT data pipelines
Strong understanding of data modeling techniques
Experience with data governance, quality, and compliance frameworks
Ability to work independently and in a collaborative team environment
Data bricks Certification
*Highly Preferred Skills**
Experience in Healthcare / Pharma domain
Exposure to RWD (Real World Data) or HEOR analytics
Familiarity with Lakehouse architecture / Medallion (Bronze-Silver-Gold) models
Experience optimizing cost and performance in cloud environments
Strong communication and stakeholder management skills

AWS Data Engineer - Databricks

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