Overview

Power BI Azure Data Engineer responsible for designing, developing, and maintaining interactive dashboards and reports using Power BI, along with building robust data pipelines and data models using Azure Synapse, Azure Data Factory, and Fabric. The role involves working with structured and unstructured data, implementing advanced DAX calculations, ensuring data security, and delivering scalable data warehousing and analytics solutions aligned to business needs, preferably within Financial and Workforce domains.

Responsibilities

- Deep knowledge of Power BI and data visualization best practices.
- Design, develop, test, and deploy Power BI Reports and work with client to generate and maintain visually appealing and insightful reports.
- Create custom visualization and implement row level security on data.
- Build data models and develop dashboards using Power BI desktop.
- Develop tabular and multidimensional models that are compatible with warehouse standards.
- Work with application developers to design and develop Power BI data visualizations.
- Use advance level calculations on the data set using DAX functions in Power BI.
- Test formulas and visualizations to ensure their functionality.




- Preferred domain Financial and Workforce data.
- Design, build, and optimize solutions using Azure Synapse Analytics and Azure Data Factory, fabric Pipelines and including data ingestion, transformation.
- Develop and manage data pipelines using Azure Data Factory or Synapse Pipelines or fabric Pipelines for data movement and transformation.
- Integrate structured and unstructured data from various sources into Azure Synapse Analytics.
- Build and maintain data warehouses, data lakes, and analytics solutions using Azure Synapse Studio, SQL Data Warehouse, and Spark pools.

Qualifications

- 1.5 3 years of experience in Power BI, SQL, Azure data factory, Azure synapse/ Fabric
- Experience with Azure Data Lake, Azure Blob Storage, and integrating various data formats (e.g., JSON, Parquet).
- Solid proficiency in SQL, data modelling, and ETL/ELT process.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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