Lead Data Engineer (Healthcare Domain)

Ready to embark on a journey where your growth is intertwined with our commitment to making a positive impact? Join the Delphi family - where Growth Meets Values.

Delphi Consulting Pvt. Ltd.

About the Role:

What you'll do:

• Design and implement end-to-end data solutions on the

  Microsoft Azure platform

  , including ingestion, storage, processing, and visualization.
• Build and manage robust data pipelines and ETL processes using

  Azure Data Factory

  ,

  Azure Databricks

  , and related services.
• Ensure

  data security

  ,

  privacy

  , and

  compliance

  with healthcare regulations (e.g., HIPAA, GDPR).
• Optimize data storage and retrieval for performance, scalability, and cost-efficiency using

  Azure Blob Storage

  ,

  Azure SQL Database

  ,

  Azure Data Lake Storage

  , etc.
• Design and implement data models, schemas, and structures tailored for analytics and reporting.
• Collaborate with data scientists and analysts by providing well-organized, clean, and reliable datasets.
• Set up

  monitoring and alerting mechanisms

  to maintain data quality, availability, and reliability.
• Work closely with cross-functional teams to translate complex business requirements into scalable technical solutions.
• Troubleshoot and resolve performance issues or data-related challenges quickly and effectively.
• Stay current with emerging Azure data services, technologies, and best practices, and make recommendations for improvements.

What you'll bring:

• Proven hands-on experience with

  Azure data services

  including:
• Azure Data Factory
• Azure Databricks
• Azure SQL Database
• Azure Synapse Analytics
• Azure Data Lake Storage
• Proficiency in

  Python

  ,

  SQL

  , or

  Scala

  .
• Strong understanding of

  data modeling

  ,

  data warehousing

  , and

  ETL pipelines

  .
• Previous experience handling

  healthcare datasets

  or working on projects in the

  healthcare domain

  is highly desirable.
• Knowledge of

  healthcare data standards

  (HL7, FHIR, ICD codes) is a plus.
• Familiarity with big data technologies such as

  Hadoop

  ,

  Spark

  , or

  Kafka

  is an added advantage.
• Strong analytical, problem-solving, and troubleshooting abilities.
• Excellent communication skills with a collaborative mindset.

What We Offer:

competitive compensation package, performance-based incentives,

remote work