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Sr. Azure Databricks Developer

Sr. Azure Databricks Developer

Lorven technologiesUnited States
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Hi,

Our client is looking for a Sr. Azure Databricks Developer with a Long-Term Contract project in Remote below is the detailed requirement.

Title : Sr. Azure Databricks Developer

Location : Remote

Contract

Job Description :

We are seeking a highly skilled Data Engineer with expertise in Azure Databricks and Data Science to join our team. The ideal candidate will have experience working in the healthcare domain , building scalable data pipelines, optimizing data workflows, and leveraging cloud-

Responsibilities

  • Design, develop, and maintain scalable ETL / ELT pipelines in Azure for healthcare data processing.
  • Work with structured and unstructured data from various healthcare sources (EHR, claims data, IoT, etc.).
  • Implement and optimize data storage solutions using Azure technologies such as Azure Data Lake, Azure SQL, Synapse Analytics, Databricks .
  • Develop and deploy machine learning models and predictive analytics solutions to support healthcare analytics.
  • Ensure data quality, integrity, and security in compliance with HIPAA and other healthcare regulations .
  • Collaborate with data scientists, analysts, and software engineers to deliver high-performance data solutions.
  • Automate data workflows using c, and other cloud tools .
  • Monitor and troubleshoot data pipelines to ensure optimal performance and reliability.

Required Skills & Qualifications :

  • 10+ years of experience as a Data Engineer with a focus on Azure cloud services .
  • Strong expertise in SQL, Python, Spark, and Databricks .
  • Hands-on experience with Azure Data Factory, Azure Synapse, Azure Data Lake, and Power BI .
  • Knowledge of machine learning models and data science techniques in a healthcare setting.
  • Experience working with FHIR, HL7, and other healthcare data standards .
  • Familiarity with DevOps and CI / CD pipelines for data workflows.
  • Strong problem-solving skills and ability to work in an agile environment.
  • Preferred Qualifications :

  • Experience with Big Data technologies (Hadoop, Kafka, etc.) .
  • Knowledge of data governance and compliance regulations in healthcare.
  • Azure / Databricks certifications such as Microsoft Certified : Azure Data Engineer Associate .
  • Understanding of cloud cost optimization for data workloads
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