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Senior Data Engineer

2 weeks ago

Hyderabad, Telangana, India Avontix Full time ₹ 6,00,000 - ₹ 8,00,000 per year

Job Summary:

As a Senior Data Engineer, you will play a crucial role in designing, building, and maintaining robust data pipelines and architectures. You will optimize data workflows, ensure scalability, and contribute to the development of a new data infrastructure that integrates with Microsoft Fabric, Azure Synapse, Databricks, and Snowflake and other cloud-based technologies. This role requires expertise in cloud-based data solutions, big data processing, and the ability to collaborate with cross-functional teams to enhance healthcare data analytics and operational efficiency.

Key Responsibilities:

  • Design, develop, and optimize scalable ETL/ELT data pipelines for healthcare RCM processes
  • Build and maintain a modern data infrastructure incorporating Microsoft Fabric, Azure Synapse, Databricks, and Snowflake and other cloud technologies
  • Collaborate with data architects, analysts, and engineering teams to improve data accessibility and performance
  • Ensure data quality, security, and compliance with healthcare regulations (HIPAA, HITRUST)
  • Optimize database performance and implement best practices for data governance and metadata management
  • Work with structured and unstructured data, integrating diverse data sources such as EHR/EMR systems, claims data, and financial records
  • Implement real-time and batch data processing solutions using various cloud data platforms and tools
  • Support data integration with BI and analytics tools such as Power BI
  • Mentor junior engineers and contribute to technical best practices

Requirements

Required Skills & Experience:

  • 5+ years of experience in data engineering or a related field
  • Expertise in SQL, Python, or Scala for data processing and transformation
  • Strong knowledge of Azure Data Services, including Microsoft Fabric, Azure Synapse, Databricks, and Snowflake, Azure Data Factory, Synapse, and Databricks
  • Experience working with large-scale data architectures in cloud environments
  • Proficiency in ETL/ELT workflows and data pipeline optimization
  • Hands-on experience with healthcare data (e.g., claims, EMR/EHR, HL7, FHIR)
  • Familiarity with data security, compliance, and governance best practices in healthcare
  • Ability to work in an agile, collaborative, and remote environment

Preferred Skills:

  • Experience with Microsoft Fabric, Azure Synapse, Databricks, and Snowflake in a production environment
  • Knowledge of other cloud-based data platforms and integration tools
  • Hands-on experience with Power BI, DAX, and data modeling
  • Experience with machine learning pipelines or predictive analytics in healthcare
  • Previous experience in RCM, insurance, or healthcare analytics