The Azure Data Engineer with MS Fabric is a senior specialized role requiring 5-10 years of experience focused on designing, developing, and implementing scalable data solutions primarily within the Microsoft Azure and Fabric ecosystems.

Located in Chennai, the incumbent must have mandatory expertise in Microsoft Fabric, Azure Data Factory, Synapse, and strong coding skills in Python or PySpark.

This role is critical for integrating, processing, and analyzing large datasets to provide business insights and drive data-driven decision-making.

Job Summary :

We are seeking an experienced Azure Data Engineer (510 years experience) with mandatory expertise as an Azure Microsoft Fabric Developer to design and implement scalable data solutions.

Proficiency in Azure Data Factory, Synapse, Power BI, and OneLake is essential.

Key responsibilities include integrating and processing large datasets, leveraging hands-on experience with SQL, Python, or PySpark, designing complex relational and analytical data models, and building/optimizing dashboards in Power BI to deliver actionable business insights.

Strong knowledge of Azure services like Azure Data Lake and the ability to troubleshoot complex data issues are mandatory.

Key Responsibilities and Technical Deliverables :

Microsoft Fabric and Azure Data Solutions :

- Demonstrate mandatory expertise as an Azure Microsoft Fabric Developer to design, develop, and implement scalable data solutions using Microsoft Fabric (including OneLake).

- Utilize Proficiency in Azure Data Factory (ADF) for orchestrating complex ETL/ELT pipelines and Synapse for large-scale data warehousing and analytics.

- Integrating, processing, and analyzing large datasets, leveraging various Azure services to provide business insights.

- Apply Strong knowledge of Azure services like Azure Data Lake (ADLS Gen2) for scalable storage, Azure Functions for serverless processing, and Azure Active Directory (AAD) for secure access control.

Programming and Data Modeling :

- Possess Hands-on experience with SQL for querying and manipulation, and proficiency in Python or PySpark for custom data transformations and scripting.

- Expertise in designing relational and analytical data models (e.g., Star Schema, Dimensional Modeling) to support efficient reporting and analytics.

- Utilize advanced features of PySpark within Databricks/Synapse Analytics environments for big data processing.

Visualization and Quality Assurance :

- Demonstrate Proficiency in building and optimizing dashboards in Power BI to effectively visualize data and drive data-driven decision-making.

- Ability to troubleshoot and resolve data-related issues across the data platform, ensuring data integrity and pipeline reliability.

Collaboration and Communication :

- Apply Strong communication and collaboration skills to work effectively with data scientists, business analysts, and stakeholders to understand data requirements and deliver effective solutions.

Mandatory Skills & Qualifications :

- Experience : 5-10 Years.

- Core Cloud : Azure Microsoft Fabric and Azure Data Factory.

- Tools : Synapse, Power BI, and OneLake.

- Languages/Tech : Python, or PySpark, and SQL.

- Architecture : Strong knowledge of Azure services (Azure Data Lake, Azure Functions, Azure AD) and Expertise in designing relational and analytical data models.

Preferred Skills :

- Experience with version control systems (e.g., Git) for code management.

- Familiarity with CI/CD practices for data pipeline deployment.

- Experience in performance tuning complex Synapse SQL pools or Databricks clusters.

- Certification in relevant Microsoft Azure Data Engineering tracks