Data Engineer - Azure Data Fabric (3-6 yrs)

Job Description :

Job Title : Data Engineer

Work Location : Hyderabad

Work Mode : WFO

Experience : 3 - 6 Years

Rel. Exp : Azure Data Fabric

Job Summary :

We are seeking a skilled Azure Data Fabric Data Engineer to join our data engineering team. The ideal candidate will have experience designing, building, and managing data fabric solutions across various platforms. This role requires a strong understanding of data integration, distributed data systems, and cloud-based data engineering. The candidate should be able to work effectively in a collaborative environment to develop scalable and robust data pipelines.

Key Responsibilities :

- Data Fabric Implementation : Design and implement data fabric solutions to unify data across multiple sources and platforms, ensuring seamless data flow and integration.

- Data Pipeline Development : Build and maintain scalable, efficient data pipelines using modern data engineering tools like data fabric platform and frameworks.

- Data Integration : Work with diverse data sources, including structured, semi-structured, and unstructured data, to create integrated datasets that support business analytics and decision-making.

- Cloud Infrastructure Management : Leverage cloud platforms (such as Azure, AWS, or Google Cloud) to deploy and manage data infrastructure, ensuring performance, scalability, and cost-efficiency.

- Data Quality and Governance : Develop and enforce data quality standards and governance practices to ensure data accuracy, consistency, and security.

- Performance Optimization : Monitor and optimize the performance of data pipelines and data fabric solutions to handle large volumes of data effectively.

- Collaboration : Work closely with data scientists, analysts, and other stakeholders to understand data needs and deliver solutions that meet business objectives.

- Documentation : Create and maintain comprehensive documentation for data engineering processes, architectures, and workflows.

Skills/Tags : Data Engineering, Application Programming Interfaces (API), Azure Data Factory, Azure Service Fabric, Data Infrastructure, Data Integration, Data Pipelines, Microsoft Azure, Microsoft Fabric, Orchestration