Senior Data Engineer
SourcingXPress
Remote
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