Data Engineer – Microsoft Fabric & Cloud Data Platforms
Thinkgrid Labs6–10 yrsRemoteDirect career pageEst. 16–28 LPA
Posted on 22 Sept
Reach people at Thinkgrid Labs
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Thinkgrid Labs you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Design, build, and operate reliable end-to-end data pipelines using Microsoft Fabric and comparable cloud data platforms.
- Develop and maintain lakehouse and warehouse data solutions that support analytics and reporting, ensuring data quality and governance.
- Monitor, troubleshoot, and optimize data workflows for performance, cost, and reliability in a production healthcare environment.
Minimum Requirements
- 6–10 years of data engineering experience, including 2+ years on cloud data platforms like Microsoft Fabric or Databricks.
- Strong SQL skills and experience with large relational databases and data modeling.
- Proficiency in Python and Apache Spark for data processing and pipeline development.
- Bachelor's or Master's degree in Computer Science, Health Informatics, or Business.
Ideal Candidate Profile
- Experienced in building production data pipelines with CDC, schema evolution, and data quality controls on Microsoft Fabric or similar platforms.
- Capable of operational ownership including pipeline orchestration, monitoring, troubleshooting, and documentation in complex cloud environments.
- Familiar with healthcare data domain requirements such as handling PII/PHI and implementing security and governance controls.
