Job Description

Role & responsibilities Design and develop ETL/ELT pipelines using Azure Data Factory and SQL Server Write and optimize complex T-SQL queries , procedures, and data transformation scripts Automate data workflows and integrations using Python Implement and manage data ingestion processes from various sources to Azure Data Lake and Azure SQL Ensure data quality , reliability, and consistency across systems Collaborate with data analysts, data scientists, and business stakeholders to understand data needs and ensure pipeline delivery Work with Azure Key Vault , CI/CD tools , and version control systems to ensure secure and automated deployments Create and maintain technical documentation for all data workflows and systems Preferred candidate profile Strong experience in Microsoft SQL Server (including advanced T-SQL) and Azure Data Factory. experience with SQL Server and T-SQL experience in building pipelines in Azure Data Factory Experience with Python for data automation/integration Solid understanding of ETL/ELT processes and data modeling Familiarity with Azure SQL, Data Lake, Key Vault, and CI/CD practices Preferred (but not required) skills include experience with Synapse, Databricks, Power BI, and Microsoft certifications like DP-203.