Sr Data Engineer - India residents

Job Description

We are looking for a highly experienced Senior ETL / Healthcare Data Engineer to build and support scalable data integration solutions for US healthcare data. This role will focus on processing, transforming, and integrating complex clinical and operational datasets while ensuring accuracy, compliance, and performance.

The ideal candidate combines deep ETL expertise using C#, SQL Server, and Snowflake with a working understanding of healthcare interoperability standards such as HL7, CCD, and FHIR. Exposure to cloud platforms, Python, and emerging AI-driven healthcare analytics is a strong plus.

Essential Duties & Responsibilities

• Design, develop, and maintain enterprise-gradeETL pipelinesfor US healthcare data
• Process and transform healthcare data formats includingHL7, CCD, FHIR, and related standards
• Implement ETL workflows usingC#, 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 usingAzure and/or AWSservices
• LeveragePythonfor data transformation, automation, and orchestration as needed
• Adhere toHIPAAand 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

Qualifications

• 5–10 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 withUS healthcare data
• Familiarity with healthcare interoperability standards such asHL7, CCD, and FHIR
• Experience with version control, CI/CD, and production support

Good-to-Have Skills

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

Soft Skills

• 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

Additional Information

ELLKAY is committed to fostering a collaborative and high-performance work environment that supports innovation, teamwork, and professional growth. Most roles are designed to operate from our office locations to encourage effective collaboration and engagement across teams.

Any alternative work arrangements may be considered at the company’s discretion based on role requirements and business needs.