E-Solutions is seeking a Senior Healthcare Data Engineer to build scalable data pipelines and manage cloud-based data platforms. The role focuses on optimizing data processing systems and involves collaboration with analytics, product, and business teams to support healthcare analytics and application development.
Responsibilities:
- Design and build scalable, reliable data pipelines
- Work with cloud data platforms (Azure, Snowflake, AWS)
- Develop ETL/ELT pipelines using Python, SQL, Spark
- Implement data orchestration using Airflow or similar tools
- Build API and streaming-based ingestion pipelines
- Optimize pipeline performance, cost, and scalability
- Manage schema design, evolution, and data modeling
- Implement CI/CD pipelines using GitLab
- Work closely with analytics, product, and business teams
- Ensure data SLAs, reliability, and governance
- Contribute to healthcare data platform development
Requirements:
- Minimum 12 Years of experience
- Responsible for building scalable data pipelines
- Managing cloud-based data platforms
- Optimizing distributed data processing systems
- Working with Snowflake
- Working with Azure Data Factory
- Using Python
- Using SQL
- Using Airflow
- Using CI/CD pipelines
- Supporting healthcare analytics and application development
- Designing and building scalable, reliable data pipelines
- Developing ETL/ELT pipelines using Python, SQL, Spark
- Implementing data orchestration using Airflow or similar tools
- Building API and streaming-based ingestion pipelines
- Optimizing pipeline performance, cost, and scalability
- Managing schema design, evolution, and data modeling
- Implementing CI/CD pipelines using GitLab
- Working closely with analytics, product, and business teams
- Ensuring data SLAs, reliability, and governance
- Contributing to healthcare data platform development