Job Summary

Azure data engineer ..

Responsibilities

- Design and develop scalable data pipelines using Microsoft Fabric Pipelines or Azure Data Factory (ADF).
- Build and manage data transformations using Fabric Notebooks or Azure Databricks (PySpark/SQL).
- Implement and maintain Lakehouse architecture in Microsoft Fabric or Azure Data Lake Storage (ADLS).
- Develop and optimize ETL/ELT workflows for structured and semi-structured data.
- Work with Delta Lake, Parquet, and other modern storage formats.
- Perform data modeling and optimization for analytics workloads.
- Ensure data quality, governance, and performance tuning.
- Collaborate with business and BI teams to deliver data for reporting and analytics.
- Support Power BI datasets, data models, and basic report optimization (secondary responsibility).




- Monitor and troubleshoot data pipelines and resolve performance issues.

Required Skills

- 3+ years of experience in Data Engineering.
- Strong hands-on experience with either of the following technology stacks:
- Option 1: Microsoft Fabric; Power BI
- Option 2: Azure Data Factory (ADF); Azure Data Lake Storage (ADLS); Azure Databricks; Power BI
- Valuable knowledge of: PySpark / Spark SQL
- SQL (T-SQL or equivalent)
- Data warehousing concepts (Star/Snowflake schema)
- Lakehouse architecture
- Delta Lake
- Experience with data ingestion and processing.
- Understanding of CI/CD and deployment in Fabric & Azure.

📌 Microsoft Fabric or Azure Data Lake Storage Professional (Hyderabad)
🏢 Suzva Software Technologies
📍 Hyderabad