Job Summary

Role Summary We are seeking an experienced Data Engineer to support enterprise healthcare data platforms, AI/ML initiatives, reporting modernization, and cloud-based data engineering programs. The ideal candidate will have strong expertise in designing, developing, and optimizing scalable data pipelines, building modern data warehouse solutions, and integrating diverse healthcare data sources.

Role Details

- Job Title: Data Engineer
- Experience: 5 8 Years
- Employment Type: Full-Time
- Location: Noida, Uttar Pradesh

What you'll do

- Own delivery for client-facing web, mobile, AI, cloud or digital transformation work based on the role.
- Collaborate with project managers, designers, QA and client stakeholders through discovery, build, launch and support.
- Write clear documentation, communicate risks early and keep delivery quality high.
- Contribute to reusable engineering practices, reviews and mentoring inside the WebSenor team.

What we're looking for

- Solid hands-on experience relevant to this role and a portfolio of shipped production work.
- Clear communication, ownership mindset and ability to work with global clients.

Key Responsibilities

- Design, develop, test, and maintain scalable ETL/ELT pipelines for enterprise data platforms.
- Build and optimize data ingestion frameworks using Snowflake, Azure Data Factory, Databricks, and cloud-based technologies.
- Integrate data from multiple healthcare source systems including claims, membership, provider, and clinical data platforms.
- Develop and maintain enterprise data models supporting: Reporting
- Develop and maintain enterprise data models supporting: Analytics
- Develop and maintain enterprise data models supporting: Business intelligence
- Develop and maintain enterprise data models supporting: AI/ML solutions




- Perform data transformation, cleansing, validation, and enrichment activities.
- Ensure data quality, governance, security, and compliance standards are followed across data solutions.
- Develop efficient SQL queries and optimize data processing performance.
- Support reporting modernization initiatives, including migration from legacy reporting platforms.
- Collaborate with Data Architects and Data Scientists to prepare and optimize datasets for advanced analytics and machine learning workflows.
- Troubleshoot data pipeline failures, performance issues, and production data processing challenges.
- Implement data engineering best practices for scalability, reliability, and maintainability.
- Participate in Agile ceremonies, technical discussions, code reviews, and release activities.
- Maintain documentation related to data pipelines, architecture, processes, and operational procedures.

Qualifications

Education

- Bachelor s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.

Experience

- 5 8 years of experience in Data Engineering roles.
- Experience building enterprise-scale data pipelines and data warehouse solutions.
- Experience working with cloud-based data platforms and modern analytics ecosystems.
- Strong understanding of data engineering concepts, architecture, and best practices.

Required Technical Skills

Programming

- SQL
- Python
- Complex SQL queries




- Data transformation logic
- Query optimization
- Data validation processes

Cloud Data Platforms

- Snowflake
- Azure Data Factory (ADF)
- Azure Databricks
- Azure Cloud data services
- Similar cloud-based data engineering platforms

Data Engineering

- ETL/ELT frameworks
- Data pipeline development
- Data ingestion frameworks
- Data warehouse concepts
- Data modeling
- Data integration patterns
- Data quality management

DevOps Engineering Practices

- Git
- CI/CD pipelines
- Agile development methodologies
- Source control best practices
- Production support processes

Desired Skills

- Healthcare domain experience, including claims data
- Membership data
- Provider data
- Clinical data
- Healthcare analytics platforms
- Exposure to AI/ML data preparation workflows
- Experience preparing datasets for machine learning models
- Experience with reporting and visualization tools such as Power BI
- Experience with cloud data modernization initiatives

Key Competencies

- Cloud Data Engineering
- Snowflake Development
- SQL Python Programming
- Healthcare Data Analytics
- Data Quality Governance
- Performance Optimization
- Agile Delivery

Role Outcomes

- The successful candidate will: Build and maintain scalable healthcare data platforms.
- Enable analytics, reporting, and AI/ML initiatives through reliable data solutions.
- Modernize legacy reporting and data processing workflows.
- Improve data quality, accessibility, and performance across enterprise data ecosystems.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Data Engineer 3 (Noida)
🏢 WebSenor
📍 Noida