Azure Data Engineer

Apton Inc
United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Microsoft Azure Big Data Cloud Computing Cloud Database Continuous Integration Data as a Services Information Engineering Data Infrastructure Data Integration Extract Transform Load (ETL) Data Security Data Systems
+18 more
Data Warehousing Database Queries Python (Programming Language) SQL Azure Azure Data Lake Data Processing EHR Systems Azure Data Factory Fast Healthcare Interoperability Resources Electronic Medical Records Git Data Lakes Pyspark Health Level Seven International Data Management Azure Synapse Analytics Data Pipelines Databricks

Job description

We are seeking a highly skilled and experienced Azure Data Engineer to support the design, development, and optimization of scalable data solutions on the Microsoft Azure platform. The ideal candidate will possess strong technical expertise in cloud-based data engineering, data integration, ETL/ELT pipelines, and modern Azure data services, along with a solid understanding of healthcare data systems, including Electronic Health Records (EHR)., · Design, develop, and optimize scalable data pipelines and data solutions using Azure.

· Build and maintain ETL/ELT pipelines using Azure Data Factory (ADF).

· Develop data processing and transformation solutions using Azure Databricks, PySpark, and Python.

· Work with Azure Synapse Analytics, Azure SQL Database, and Data Lake Storage Gen2.

· Integrate data from multiple sources, including healthcare systems and EHR platforms.

· Implement data quality, validation, governance, security, and monitoring processes.

· Optimize data pipelines and queries for performance, scalability, and reliability.

· Collaborate with data architects, analysts, application teams, and business stakeholders.

· Develop solutions following Azure cloud architecture and best practices.

Requirements

· Strong experience with Azure Data Engineering.

· Hands-on experience with Azure Data Factory (ADF).

· Strong knowledge of Azure Databricks, PySpark, and Python.

· Experience with Azure Synapse Analytics.

· Strong SQL skills and experience with Azure SQL.

· Experience with Azure Data Lake Storage (ADLS Gen2).

· Knowledge of ETL/ELT, data warehousing, and data modeling.

· Experience working with large and complex datasets.

· Understanding of healthcare data, EHR, HL7/FHIR, or related healthcare systems is preferred.

· Experience with Git, CI/CD, Azure DevOps, and cloud deployment practices.

· Strong understanding of data security, governance, and compliance.

· Preferred Experience:

· 8+ years of overall data engineering experience.

· 5+ years of experience working with Microsoft Azure data services.

· Experience developing enterprise-scale data platforms.

· Healthcare/health insurance domain experience is highly preferred.

· Experience with HIPAA-compliant data environments is a plus.

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