Description

Lead the design and maintenance of data infrastructure to transform raw data into actionable insights.

Responsibilities

• Build scalable data solutions using Microsoft SQL Server and SSIS.
• Create complex SQL objects including stored procedures, functions, views, indexes, and triggers.
• Develop and maintain ETL packages to extract data from flat files, XML, CSV, Access, and Excel into data warehouses.
• Design conceptual, logical, and physical data models to support business intelligence needs.
• Optimize database performance through query tuning and indexing.

Required Skills

• 12+ years of experience in data engineering or database development.
• Expertise in Microsoft SQL Server.
• Advanced proficiency in SSIS for ETL pipeline development.
• Strong SQL skills for complex data manipulation.
• Experience building ETL processes from XML, CSV, and flat file sources.
• Proven ability in Data Modeling and database schema design.
• Experience implementing error handling and event handling in SSIS.
• Ability to translate business requirements into technical data models.

Key Skills

Education

Any Graduate