<p><p><b>Job Title : </b> Data Engineer SQL / SSIS / ADF / Python.<br/><br/> <b>Experience : </b> 35 Years.<br/><br/> <b>Location : </b> Remote / Hybrid.<br/><br/> <b>Employment Type : </b> [Full-Time / Contract].<br/><br/><b>Role Summary :</b></p><p><p><b><br/></b></p>We are hiring a Data Engineer with 35 years of experience in SQL Server, SSIS, Azure Data Factory (ADF), and Python.
The ideal candidate will be responsible for building robust data pipelines, integrating diverse data sources, and ensuring the reliability and scalability of data workflows.<br/><br/> <b>Key Responsibilities :</b></p><p><p><b><br/></b></p>- Develop, maintain, and optimize ETL processes using SSIS and ADF.<br/><br/></p><p> - Write complex SQL queries for data extraction, transformation, and loading.<br/><br/></p><p> - Build automated data workflows and pipelines using Python.<br/><br/></p><p> - Collaborate with data analysts, business teams, and other engineers.<br/><br/></p><p> - Monitor and troubleshoot data integration issues.<br/><br/></p><p> - Ensure data accuracy, quality, and security in all workflows.<br/><br/> <b>Required Skills : </b><br/><br/></p><p> - 35 years of experience in data engineering or related role.<br/><br/></p><p> - Proficiency in SQL Server and SSIS.<br/><br/></p><p> - Strong hands-on experience with Azure Data Factory (ADF).<br/><br/></p><p> - Working knowledge of Python for scripting and automation.<br/><br/></p><p> - Experience with cloud-based data solutions, preferably on Azure.<br/><br/></p><p> - Good understanding of data warehousing concepts and ETL best practices.<br/><br/> <b>Nice to Have :</b></p><p><p><b><br/></b></p>- Experience with Azure Synapse, Data Lake, or other Azure services.<br/><br/></p><p> - Familiarity with DevOps for data pipeline deployment.<br/><br/></p><p> - Basic understanding of data governance and compliance.</p><br/></p> (ref:hirist.tech)