Senior Data Engineer

Company: The Hrism

Website: Visit Website

LinkedIn: Visit LinkedIn

Business Type: Startup

Company Type: Product

Business Model: B2B

Funding Stage: Pre-seed

Industry: Information Technology

Salary Range: ₹ 12-20 Lacs PA

Job Description

We are hiring Senior Data Engineer role for the 25-year-old US-based healthcare billion-dollar product MNC employing 700+ people globally and employing 350+ people in India.

About the Client More than 2 decades old, US-based healthcare product MNC

Job Location: Ahmedabad / Remote

Job Timing: 2PM to 11PM

Essential Duties & Responsibilities

• Design, develop, and maintain enterprise-grade ETL pipelines for US healthcare data
• Process and transform healthcare data formats, including HL7, CCD, FHIR, and related standards
• Implement ETL workflows using C#, SQL Server, and Snowflake
• Build and optimize healthcare-focused data models supporting analytics, reporting, and downstream systems
• Ensure data quality, validation, normalization, and consistency across clinical and administrative datasets
• Collaborate with product, clinical, analytics, and compliance teams to translate healthcare requirements into technical solutions
• Optimize SQL and Snowflake workloads for performance, scalability, and cost efficiency
• Support cloud-based data platforms using Azure and/or AWSservices
• Leverage Python for data transformation, automation, and orchestration as needed
• Adhere to HIPAA and healthcare data governance best practices
• Provide technical leadership and mentor junior engineers on ETL and healthcare data standards
• Contribute to continuous improvement initiatives, including modernization and AI-ready data pipelines
  
  

• 5 to 10 years of experience in ETL development and data engineering
• Strong hands-on experience with C#
• Advanced expertise in SQL Server (T-SQL, performance tuning, stored procedures)
• Solid experience with Snowflake in production environments
• Strong understanding of data warehousing and ETL best practices
• Experience working with US healthcare data
• Familiarity with healthcare interoperability standards such as HL7, CCD, and FHIR
• Experience with version control, CI/CD, and production support
  
  

• Experience with Azure (ADF, Synapse, Data Lake) and/or AWS (S3, Glue, Redshift)
• Working knowledge of Python for data engineering tasks
• Exposure to healthcare interoperability tools (interfaces, APIs, message brokers)
• Understanding of AI/ML concepts in healthcare analytics (data preparation, feature engineering)
• Knowledge of healthcare coding systems (ICD-10, CPT, LOINC, SNOMED)
• Experience in Agile/Scrum delivery environments
  
  

• Strong communication skills with the ability to work across technical and non-technical stakeholders
• Detail-oriented mindset essential for regulated healthcare environments
• Ownership-driven, reliable, and delivery-focused
• Ability to mentor and guide team members in a senior capacity