
Data Solution Architect
5 days ago
We are seeking a seasoned database expert to design, develop, and maintain high-performance database solutions. This key role will focus on data integration, ETL processes, and query optimization.
Key Responsibilities:- Develop and implement complex SSIS packages for data integration and ETL processes.
- Create, schedule, and monitor SQL Server Agent Jobs for automated workflows.
- Troubleshoot and optimize stored procedures, views, and SQL queries to enhance database performance.
- Analyze and improve query execution plans and system responsiveness.
- Collaborate with application developers to design and maintain database schemas, stored logic, and support data access needs.
- Perform data analysis and validation to support data migration, transformation, and reporting activities.
- Ensure database integrity, security, and optimal performance.
- Participate in code reviews and contribute to continuous improvement initiatives.
- Strong experience with Microsoft SQL Server (2016 and above preferred).
- Proficiency in developing and managing SSIS packages for ETL processes.
- In-depth knowledge of SQL Server Agent Jobs – creation, scheduling, and troubleshooting.
- Expertise in writing and debugging complex stored procedures, views, and T-SQL scripts.
- Experience in performance tuning and analyzing query execution plans.
- Solid understanding of relational database concepts, normalization, and indexing strategies.
- Strong problem-solving and analytical skills.
- Ability to work independently and as part of a team in a fast-paced environment.
- Strong experience with MYSQL, Mango DB, and NoSQL.
- Experience with SSRS or other reporting tools is a plus.
- Exposure to Azure SQL, Power BI, or NoSQL databases is an advantage.
- Familiarity with source control tools like Git.
- Knowledge of Agile methodologies (Scrum/Kanban).
The ideal candidate will have a Bachelor's degree in Computer Science, Information Technology, or a related field. Experience with 2-3 years in similar roles is preferred.
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