Description

You will lead the development and modernization of business intelligence solutions.

Responsibilities

• Gather requirements from business users and translate them into data and BI solutions.
• Design and implement scalable data pipelines using PySpark and Azure Data Factory, integrating Azure Data Lake, Synapse Analytics, DataBricks, and Microsoft Fabric.
• Develop and optimize data models and visualizations using Power BI.
• Lead the migration of legacy BI systems to cloud-based platforms.
• Oversee system testing, UAT, and production deployments while documenting data flows and transformation logic.

Required Skills

• 11+ years of experience in data engineering and BI development.
• Proven expertise in PySpark for data transformation and pipeline development.
• Extensive experience with Azure Data Services: Data Factory, Data Lake, Synapse, Microsoft Fabric, and DataBricks.
• Strong proficiency in Power BI dashboard development and data modeling.
• Advanced SQL skills focused on query performance and scalability.
• Experience with dimensional modeling (Star and Snowflake schemas).
• Solid understanding of cloud architecture, data governance, and performance optimization.
• Excellent communication and collaboration in cross-functional environments.

Preferred Skills

• Familiarity with SSIS, SSRS, and SSAS (tabular and multi-dimensional models).
• Experience with DAX and MDX query languages.

Key Skills

Education

Any Gradute