Job Title: Data Engineer – ETL/ELT & Snowflake (Healthcare Data)
Experience: 5–8 Years
Employment Type: Full-Time
Position Summary
We are looking for an experienced Data Engineer to design, develop, and maintain scalable data pipelines and modern data warehouse solutions. The ideal candidate will have strong expertise in ETL/ELT processes, SQL, Snowflake, and data warehousing concepts. This role involves ensuring high-quality, reliable data for analytics, reporting, and AI-assisted decision-making, with experience handling healthcare data being highly preferred.
Key Responsibilities
- Design, develop, and optimize ETL/ELT pipelines for structured and semi-structured data.
- Build and maintain scalable data warehouse solutions using Snowflake.
- Develop efficient SQL queries, stored procedures, and data transformation logic.
- Ensure data quality, integrity, consistency, and governance across data platforms.
- Support business intelligence, reporting, and advanced analytics initiatives.
- Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements.
- Integrate data from multiple internal and external sources into centralized repositories.
- Optimize data pipelines for performance, scalability, and cost efficiency.
- Implement data validation, monitoring, and error-handling mechanisms.
- Support AI-assisted analytics initiatives by preparing high-quality datasets for AI/ML models.
- Work with healthcare datasets while ensuring compliance with data privacy and security standards.
- Document data models, ETL processes, and technical specifications.
- Troubleshoot and resolve data pipeline and performance issues.
Required Skills
Technical (Must Have):
- Strong experience with ETL/ELT pipeline development.
- Advanced SQL programming and query optimization.
- Hands-on experience with Snowflake.
- Strong understanding of Data Engineering principles.
- Experience with Data Warehousing concepts (Star Schema, Snowflake Schema, Dimensional Modeling).
- Experience implementing Data Quality frameworks and validation processes.
- Knowledge of Data Analytics support and reporting workflows.
- Experience working with structured and semi-structured datasets.
Preferred Skills:
- Experience supporting AI-Assisted Analytics or AI-enabled reporting solutions.
- Experience working with Healthcare Data (claims, clinical, EMR/EHR, patient, or provider data).
- Familiarity with healthcare data standards such as HL7 or FHIR is an advantage.
- Knowledge of cloud-based data platforms (AWS, Azure, or GCP).
- Experience with version control and CI/CD practices for data engineering.
Qualifications
- Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.
- 5–8 years of experience in Data Engineering or Data Warehouse development.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration abilities.
- Experience working in Agile development environments is preferred.
Preferred Experience
- Building enterprise-scale data warehouses on Snowflake.
- Developing robust ETL/ELT pipelines for analytics platforms.
- Supporting business intelligence and data analytics teams.
- Implementing data quality and governance best practices.
- Working with healthcare data while ensuring regulatory compliance.
- Contributing to AI-assisted analytics or data-driven decision support initiatives.
Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)
