SQL Server / SSIS Developer

• Design, develop, and maintain SQL Server 2019/2022 databases, SSIS packages, and ETL solutions.
• Develop, optimize, and support complex SQL queries, stored procedures, views, and functions.
• Perform debugging, troubleshooting, and root cause analysis of data and performance-related issues.
• Analyze database structures and perform performance tuning, including indexing strategies and query optimization.
• Process and manage large volumes of data efficiently while ensuring data accuracy and integrity.
• Work with and interpret XML data formats as part of data integration and transformation processes.
• Support and participate in DevOps / CI-CD pipelines for database and SSIS deployments.
• Work independently on assigned tasks while actively supporting and collaborating with team members.

Experience with development of SQL/SSIS packages, stored procedures. An ability to work with complex SQL queries, debugging of issues. Position General Duties and Tasks:

• Primary skill: SQL Server 2019/2022 and SSIS
• Experience with development of SQL/SSIS packages, stored procedures. An ability to work with complex SQL queries, debugging of issues.
• Knowledge of database structures, performance tuning, strong data analysis.
• Experience with processing of large amounts of data. Understanding of XML data formats
• Experience with DevOps/CICD pipeline
• Ability to work independently and support other team members, * 4+ years of experience in SQL Server development, including writing and optimizing complex SQL queries and stored procedures.
• 3+ years of experience with SSIS development and ETL processes.
• 4+ years of experience in Strong expertise in database performance tuning, execution plan analysis, and data optimization.
• Solid understanding of data analysis and relational database design.
• 4+ years of experience with CI/CD tools, source control, and DevOps practices related to database or ETL deployments.
• Proven ability to work independently and collaborate effectively within cross-functional teams.

Nice to Have (Not Mandatory):

• Experience leading or mentoring team members.
• Prior exposure to enterprise-scale data platforms or large data environments.

Degree:

• Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience.