Description

You will build and manage scalable data pipelines and ETL processes within the MSBI and Azure ecosystems.

Responsibilities

• Develop, schedule, and manage ETL processes using SSIS and Azure Data Factory (ADF).
• Design and implement OLAP cubes and data models using SSAS and Azure Analysis Services.
• Migrate on-premises workloads to Azure SQL, Data Lake, and Synapse Analytics.
• Build scalable data pipelines and workflows using Databricks (PySpark).
• Write complex T-SQL queries, stored procedures, functions, and triggers.
• Create and manage CI/CD pipelines for data deployment using Azure DevOps.

Required Skills

• 5+ years of experience in data engineering.
• Expertise in MSBI stack: SSIS, SSRS, and SSAS.
• Strong experience with Azure Data Services: ADF, Synapse, Databricks, Cosmos DB, and Azure SQL.
• Advanced proficiency in SQL Server (2008R2-2019).
• Proficiency in Python and C#.
• Hands-on experience with Azure DevOps and CI/CD tools.
• Experience integrating with Azure Synapse, Purview, and Power BI.
• Solid understanding of data warehousing, data modeling, and ETL best practices.
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.

Preferred Skills

• Microsoft Certified: Azure Data Engineer Associate (DP-203).
• Microsoft Certified: Azure Fundamentals (AZ-900).
• Microsoft Certified: Data Analyst Associate (Power BI).

Key Skills

Education

Any Graduate