MSSQL Developer

Job Description

Dear Candidates, We are hiring Data Analyst at Saisystems Health Engineering and Product. Please find below job details and job descriptions. Experience -7+ years Location - Pune Mode of Work - Office Notice Period - Immediate - 15 days Job Description Required Qualifications: Experience: Minimum of 5 years of hands-on experience in database development, SQL, and database administration. Technical Skills: Expertise in writing SQL queries (including joins, subqueries, and complex operations) and database design, including normalization and ER modeling. Strong experience in writing and optimizing stored procedures and functions for complex business logic. Solid understanding of indexing strategies and query optimization techniques. Experience with ETL tools such as SSIS or Talend for data migration and integration. Experience with database management, backup and recovery, replication, and clustering strategies to ensure high availability and disaster recovery. Proficient in analyzing database performance and applying tuning strategies to enhance query execution times and system performance. Hands-on experience with at least one Business Intelligence (BI) tool, such as Power BI, Tableau, or similar, to assist with data analysis and reporting. Preferred Qualifications: • Familiarity with cloud-based databases (e.g., Azure SQL Database, AWS RDS) and cloud services related to data management. • Knowledge of automation tools for database deployment and management. • Experience in designing and maintaining data warehouses or large-scale data processing systems. • Experience with NoSQL databases (e.g., MongoDB, Cassandra) is a plus. • Advanced experience with BI tools (e.g., Power BI, Tableau) for data visualization, reporting, and dashboard creation. Key Performance Indicators: • Efficient, optimized database design and development with high-performance queries. • Successful development and management of ETL processes, ensuring smooth data flow between systems. • High availability of data with minimal downtime through effective backup, recovery, and replication strategies. • Impactful optimization of database performance, reducing query execution times and improving system responsiveness. • Clear and consistent communication with stakeholders and developers to meet business and technical requirements.