Senior Data Engineer – Azure | Healthcare
- Location
- Philadelphia, Pennsylvania, United States
- Salary
- Not specified
- Company
- Akash pawar
Job description
• Role & Company / Project Overview We are seeking a highly experienced Senior Data Engineer with strong expertise in the Azure Data Platform and Healthcare/Payer data environments. The ideal candidate will design, develop, and support scalable cloud data platforms, ETL/ELT pipelines, and modern Lakehouse solutions. • Key Responsibilities & Daily Duties - Design and develop scalable ETL/ELT data pipelines on Azure. - Build data ingestion, transformation, and orchestration frameworks. - Develop Azure Databricks solutions using PySpark and Python. - Implement Delta Lake and Lakehouse architectures. - Develop curated data layers for analytics, reporting, and BI. - Perform data modeling, migration, modernization, and cloud transformation. - Ensure data quality, lineage, governance, and reliability. - Implement CI/CD, monitoring, deployment automation, and operational best practices. - Collaborate with business and technical teams in an Agile/Scrum environment. • Required Qualifications, Skills & Experience - Experience: 12+ years of relevant experience. - Domain Expertise: Healthcare / Payer domain experience, including hands-on experience with Healthcare/Payer data such as Claims, Membership/Member, Provider, or Care Management data. - Core Required Skills: Azure Databricks, ADLS Gen2, Azure Data Factory, Azure Synapse, Azure SQL, PySpark, Python, SQL, Delta Lake, Lakehouse, ETL/ELT, Data Modeling, Git, CI/CD, Azure Cloud. - Preferred Skills: Power BI, Azure DevOps, Terraform/Bicep, FHIR/HL7, AI/ML Data Pipelines. • Working Hours, Shifts & Location Details - Location: Philadelphia, PA - Work Mode: Hybrid – 3 Days Onsite - Employment Type: Contract on C2C / W2 • Application Instructions Interested candidates are invited to submit their updated resume via DM or email.