Azure Databricks with Salesforce Specialist c2c careers (Healthcare Domain)

Azure Databricks with Salesforce Specialist

Job TitleAzure Databricks with Salesforce Specialist (Healthcare Domain)
Location: Remote
Job Type: Contract
Department: Data Engineering / Analytics
Reports To: [Manager’s Title]
Job Summary
We are seeking an experienced Azure Databricks with Salesforce Specialist to join our dynamic data engineering team. The ideal candidate will have experience with Azure Databricks and integrating Salesforce within the healthcare domain, bringing a deep understanding of data processing, cloud platforms, and healthcare data workflows. The role involves developing and optimizing scalable data pipelines and working closely with stakeholders to deliver insights from complex healthcare datasets.
Responsibilities
  • Data Pipeline Development & Management: Design, build, and maintain scalable data pipelines on Azure Databricks to support data processing, transformation, and analytics, ensuring high data quality and reliability.
  • Salesforce Integration: Integrate Salesforce data with Azure Databricks, ensuring seamless data flow from Salesforce CRM to Databricks for deeper analytics, reporting, and insights.
  • Healthcare Data Expertise: Apply knowledge of healthcare industry standards (e.g., HIPAA compliance, HL7, FHIR) to build solutions that meet regulatory requirements and address industry-specific challenges.
  • Cloud Infrastructure: Leverage Azure services (e.g., Azure Data Lake, Azure Synapse Analytics, Azure SQL Database) in conjunction with Databricks to enable end-to-end data processing, analysis, and reporting.
  • Collaboration & Reporting: Work with business analysts, data scientists, and stakeholders to understand business requirements and deliver actionable insights.
  • Optimization: Continuously optimize performance of Databricks clusters and data pipelines to ensure low-latency and high-performance analytics in a cloud environment.
  • Documentation & Training: Document pipeline architecture, workflows, and provide guidance to the team on best practices for data engineering in healthcare data solutions.
Qualifications
Education:
  • Bachelor’s or Master’s Degree in Computer Science, Data Engineering, Healthcare Informatics, or related field.
Technical Skills:
  • Strong experience with Azure Databricks for big data processing and analytics.
  • Hands-on experience integrating Salesforce data with Azure-based platforms, including using APIs or custom solutions for data synchronization.
  • Proficiency in SQL and programming languages such as Python or Scala for data transformation and pipeline orchestration.
  • Experience with Azure Data Services: Azure Data Lake, Azure Synapse, Azure SQL, etc.
  • Solid understanding of cloud architectures, data security, and governance best practices, particularly within the healthcare domain.
  • Familiarity with Salesforce data models and APIs, including both standard and custom objects.
  • Knowledge of healthcare data standards such as HL7, FHIR, and HIPAA compliance.
  • Experience working with ETL/ELT frameworks and technologies for scalable data integration.
Soft Skills:
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration skills with the ability to explain complex technical concepts to non-technical stakeholders.
  • Ability to work independently and as part of a team.
  • Experience working in agile environments with a focus on delivering solutions in iterative cycles.
Preferred Skills
  • Experience with Healthcare Analytics: Familiarity with analyzing and working with patient data, claims, medical records, etc.
  • Experience with Power BITableau, or similar reporting and visualization tools.
  • Prior work in healthcare-specific CRM or ERP systems (Salesforce Health Cloud, etc.).
  • Knowledge of Data Science workflows, and machine learning model deployment in Databricks.
 
 
 
 

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