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.

- Solid 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

- Good 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