Data Engineer
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This project entails designing, developing, and maintaining ETL processes using SQL Server Integration Services (SSIS) to extract data from Azure SQL Server database and load it into a mainframe system. Collaboration with cross-functional teams and optimization of ETL processes for performance and scalability are key aspects of the role.
Required Education and Experience
- Bachelor's degree in Computer Science, Engineering, or related field
- Experience with SSIS, SWL Server, and complex SQL queries and development
- Proven experience as a Data Engineer with a focus on SQL Server and SSIS
- Hands-on experience designing and implementing ETL processes using SSIS
- Experience with performance tuning and optimization of SQL queries and ETL processes
- Availability to work in the Central Time Zone
- Strong proficiency in SQL and database concepts, with experience working with Azure SQL Server
- Excellent problem-solving skills and attention to detail
- Strong communication and collaboration skills
- US citizen or green card
- Familiarity with Azure and Azure Data Factory (ADF)
- Familiarity with mainframe systems and experience converting files to VSAM format
- Design, develop, and maintain ETL processes using SSIS
- Collaborate with cross-functional teams to develop efficient data transfer solutions
- Optimize ETL processes for performance and scalability
- Ensure data quality and integrity throughout the data pipeline
- Develop and maintain documentation for data processes
- Monitor and troubleshoot data pipelines
- Stay up-to-date with industry trends and best practices
- Perform other tasks as required
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