Data Engineer

1 week ago

hyderabad, India WaferWire Cloud Technologies Full time
Role: Data Engineer
Experience: 4+ Years
Job Description:
About Us: WaferWire Cloud Technologies is a leading provider of innovative cloud solutions. We are committed to delivering cutting-edge technology and services to our clients. We value inclusivity and are open to hiring individuals returning to work after a career break.
About the Project: This project aims to revolutionize healthcare data management by developing advanced data pipelines and integration solutions. The goal is to enhance the efficiency and accuracy of healthcare data ingestion, monitoring, and reporting. The project encompasses multiple tracks of work, including Release Management, DevOps, Data Solutions, FHIR (Fast Healthcare Interoperability Resources), and Platform development.
About the Role: Specifically, this role focuses on delivering data solutions within the Fabric environment, ensuring seamless data integration and management. By leveraging cutting-edge technologies and best practices, this project will provide valuable insights and improve overall data operations within the healthcare and life sciences sector.
Responsibilities:
Develop and maintain data pipelines, notebooks, and Livi endpoints to ingest various modalities of healthcare data into the Fabric lake house.
Monitor pipeline performance and troubleshoot any issues that arise.
Adhere to data governance policies and best practices.
Generate reports and dashboards to provide visibility into data operations and performance.
Technical Skills:
Microsoft Fabric: Proficiency in using Microsoft Fabric for data integration and management.
Data Engineering: Strong understanding of data engineering principles, including ETL (Extract, Transform, Load) processes.
Programming Languages: Proficiency in Python, SQL, and other relevant programming languages.
Big Data Technologies: Experience with big data technologies such as Apache Spark.
Cloud Platforms: Familiarity with cloud platforms, especially Microsoft Azure.
Database Management: Knowledge of relational and non-relational databases (e.g., SQL Server, MongoDB).
Data Modeling: Experience in data modeling and schema design.
Version Control: Proficiency with version control systems like Git.

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