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 up-to-date 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)

📌 Data Engineer – ETL/ELT & Snowflake (Healthcare Data) (India)
🏢 WebSenor InfoTech
📍 India