Senior Data Engineer

Job Title: Senior AWS Data EngineerLocation: Indianapolis, IN (Hybrid)Role OverviewWe are seeking a highly skilled AWS Data Engineer to support a strategic STRADA Modernization initiative. This role focuses on building and supporting a modern AWS + Databricks Lakehouse platform to enable advanced healthcare analytics (RWD/HEOR). The ideal candidate will have strong hands-on experience with AWS, Databricks, and data pipeline development, along with the ability to work closely with both technical and business stakeholders.Key ResponsibilitiesDesign, develop, and maintain data ingestion pipelines for real-world data (RWD) sourcesBuild and optimize data models within a Databricks Lakehouse architectureEnsure data governance, quality, and compliance standards are metOptimize cost, performance, and resource utilization across AWS and DatabricksCollaborate with business and technical stakeholders to translate requirements into scalable solutionsProvide technical guidance, coding standards, and best practicesSupport knowledge sharing through documentation and training sessionsDeliver status updates and progress reports to senior leadershipRequired QualificationsStrong hands-on experience with AWS services (S3, Glue, Lambda, Redshift, etc.)Proven experience with Databricks (Delta Lake, notebooks, workflows)Expertise in SQL and PythonExperience building end-to-end ETL/ELT data pipelinesStrong understanding of data modeling techniquesExperience with data governance, quality, and compliance frameworksAbility to work independently and in a collaborative team environmentDatabricks CertificationHighly Preferred SkillsExperience in Healthcare / Pharma domainExposure to RWD (Real World Data) or HEOR analyticsFamiliarity with Lakehouse architecture / Medallion (Bronze-Silver-Gold) modelsExperience optimizing cost and performance in cloud environmentsStrong communication and stakeholder management skills #J-18808-Ljbffr