Syren Technologies

3 days ago

Hyderabad, Telangana, India Syren Technologies Private Limited Full time ₹ 20,00,000 - ₹ 25,00,000 per year

We are seeking a highly skilled Fabric Data Engineer with strong expertise in Azure ecosystem to design, build, and maintain scalable data solutions. The ideal candidate will have hands-on experience with Microsoft Fabric, Databricks, Azure Data Factory, PySpark, SQL, and other Azure services to support advanced analytics and data-driven decision-making.


Key Responsibilities :

- Design, develop, and maintain scalable data pipelines using Microsoft Fabric and Azure data services.

- Implement data integration, transformation, and orchestration workflows with Azure Data Factory, Databricks, and PySpark.

- Work with stakeholders to understand business requirements and translate them into robust data solutions.

- Optimize performance and ensure data quality, reliability, and security across all layers.

- Develop and maintain data models, metadata, and documentation to support analytics and reporting.

- Collaborate with data scientists, analysts, and business teams to deliver insights-driven solutions.

- Stay updated with emerging Azure and Fabric technologies to recommend best practices and innovations.


Required Skills & Experience :

- Proven experience as a Data Engineer with strong expertise in the Azure cloud ecosystem.

- Hands-on experience with:

a. Microsoft Fabric

b. Azure Databricks

c. Azure Data Factory (ADF)

d. PySpark & Python

e. SQL (T-SQL/PL-SQL)

- Solid understanding of data warehousing, ETL/ELT processes, and big data architectures.

- Knowledge of data governance, security, and compliance within Azure.

- Strong problem-solving, debugging, and performance tuning skills.

- Excellent communication and collaboration abilities.


Preferred Qualifications :

- Microsoft Certified: Fabric Analytics Engineer Associate / Azure Data Engineer Associate.

- Experience with Power BI, Delta Lake, and Lakehouse architecture.

- Exposure to DevOps, CI/CD pipelines, and Git-based version control.

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