Senior Data Engineer
at Syrencloud

3 - 10 yrs
₹10L - ₹30L / yr
Remote, Hyderabad
Skills
Microsoft Fabric
ADF
Synapse
databricks
Microsoft Windows Azure
PySpark

SQL
Stored Procedures
Microsoft Office
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:
- Microsoft Fabric
- Azure Databricks
- Azure Data Factory (ADF)
- PySpark & Python
- 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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