Description

You design, build, and maintain scalable data models and analytics solutions using Azure services. You own the end-to-end data pipeline from ingestion to visualization, ensuring data integrity and performance across cloud environments.

This role is on-site.

Responsibilities

• Design and maintain scalable data models using Azure SQL Database and Azure Synapse Analytics.
• Write optimized SQL queries and leverage Azure Data Factory to clean, transform, and integrate disparate data sources.
• Build interactive Power BI dashboards and reports using advanced DAX and Power Query to monitor KPIs.
• Monitor data pipeline performance, optimize slow-running queries, and ensure data integrity across storage layer services.
• Partner with product, business, and engineering teams to translate business requirements into clear analytical solutions.

Required Skills

• 5+ years of experience in data analysis, modeling, and ETL processes.
• Advanced proficiency in Power BI (Service/Desktop) and DAX calculations.
• Strong expertise in Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake Storage.
• Hands-on experience with Azure Data Factory for data integration and transformation.
• Proficiency in SQL and Python for data manipulation and scripting.
• Solid understanding of data modeling concepts and ETL best practices.

Preferred Skills

• Familiarity with PySpark for automated data handling and statistical analysis.
• Experience with Databricks for data transformation and integration.
• Knowledge of star/snowflake schema design patterns and data governance standards.

Key Skills

Education

Any Graduate