Description

You will design and manage end-to-end data pipelines and business intelligence solutions within the Azure ecosystem.

Responsibilities

• Design and develop interactive Power BI dashboards, including data models, DAX measures, and calculated columns.
• Build and optimize ADF pipelines for ETL processes, integrating Azure SQL, ADLS, and on-premises databases.
• Develop and optimize T-SQL queries, stored procedures, views, and indexing strategies to ensure database performance.
• Manage data integrity, security, and Row-Level Security (RLS) within Azure SQL Database.
• Implement incremental loading, error handling, and monitoring mechanisms for automated data processing.
• Troubleshoot performance bottlenecks across Power BI, ADF, and Databricks workflows.
• Maintain database backup and recovery plans while documenting ETL workflows and system architecture.

Required Skills

• 5+ years of experience in data engineering or systems engineering roles.
• Advanced proficiency in Power BI report development and dashboarding.
• Expertise in Azure Data Factory (ADF) for ETL workflow orchestration.
• Strong T-SQL skills for query tuning, stored procedures, and data modeling.
• Experience with Azure SQL Database management and security.
• Hands-on experience with Databricks and Apache Spark performance optimization.
• Knowledge of data integration between Azure SQL, ADLS, and on-premises sources.
• Bachelor's Degree in Computer Science, Computer Engineering, Information Systems, or Information Technology.

Key Skills

Education

Any Graduate