High-Performance Data Specialist

6 days ago

Chennai, Tamil Nadu, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Senior Data Engineer

We are seeking a highly skilled and experienced data engineer to join our growing team focused on delivering impactful solutions in the healthcare and medical technology space.

This role is ideal for individuals passionate about building scalable pipelines, driving analytics, and working with healthcare data standards.

About the Role:

  • Design and maintain scalable pipelines using Databricks, Azure Data Factory, and ETL tools
  • Optimise workflows for efficient data ingestion, transformation, and delivery
  • Build data models and schemas for analytics and reporting
  • Manage and secure SQL Server databases
  • Handle structured/unstructured datasets from diverse sources
  • Ensure alignment with HL7, FHIR, and HIPAA standards
  • Create dashboards using Power BI, Tableau, Qliksense
  • Collaborate with business users to deliver actionable insights
  • Process large datasets using Python, SQL, PySpark, and Spark SQL
  • Prepare data for machine learning pipelines and predictive modeling
  • Work with data scientists, analysts, and domain experts
  • Mentor junior engineers and promote best practices
  • Monitor data pipeline performance
  • Troubleshoot and refine systems for scalability and uptime
  • Ensure adherence to regulatory data governance
  • Implement robust data security for patient and clinical information

Requirements:

  • 7+ years in data engineering, ideally in healthcare or medical data environments
  • Strong hands-on experience with Databricks, Azure Data Factory, SQL Server, Python, SQL, PySpark, Spark SQL, Power BI, Tableau, Qliksense, HL7, FHIR, and healthcare data privacy standards (HIPAA)
  • Proven ability to work independently and in cross-functional teams
  • Strong communication, documentation, and problem-solving skills

Bonus:

  • Familiarity with healthcare data standards
  • Experience with data science and machine learning
  • Prioritisation of tasking and effective time management

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