Key Responsibilities

- Design, develop, and maintain scalable data pipelines and ETL/ELT solutions on Azure.
- Build and manage data solutions using Microsoft Fabric, including:

- Fabric Lakehouse

- Fabric Warehouse
- Data pipelines and related Fabric components
- Develop and optimize data processing solutions using PySpark.
- Design and implement data integration workflows using Azure Data Factory (ADF).
- Work with Azure Synapse Analytics for data warehousing, analytics, and large-scale data processing.
- Develop and maintain solutions using Azure SQL.
- Design and implement dimensional data models, including fact and dimension tables, star/snowflake schemas, and slowly changing dimensions.
- Develop reusable and scalable data transformation frameworks.
- Implement CI/CD pipelines for data engineering solutions using Azure DevOps or similar tools.
- Apply data engineering best practices around data quality, security, governance, lineage, and access control.
- Troubleshoot data pipeline failures and production issues and provide root-cause analysis.
- Perform query, pipeline, storage, and compute performance optimization.
- Work closely with data architects, analysts, application teams,



and business stakeholders to understand data requirements.
- Participate in code reviews, technical design discussions, and documentation.

Required Skills
- 610 years of experience in Data Engineering.
- Strong hands-on experience with Microsoft Azure data services.
- Strong experience with Microsoft Fabric.
- Hands-on experience with:

- Fabric Lakehouse

- Fabric Warehouse

- Azure Synapse Analytics

- Azure Data Factory (ADF)

- Azure SQL
- Strong programming experience with Python and PySpark.
- Valuable understanding of SQL and complex query development.
- Strong knowledge of Dimensional Modeling and data warehouse concepts.
- Experience with ETL/ELT architecture and data pipeline development.
- Experience implementing CI/CD for data engineering projects.
- Understanding of Data Governance, Data Quality, Security, and Data Lineage.
- Strong understanding of performance optimization techniques for data pipelines, SQL queries, Spark jobs, and data warehouses.
- Experience working with large datasets and distributed data processing.

📌 Senior Azure data Engineer-Immediate (Ahmedabad)
🏢 Synoptek
📍 Ahmedabad