Senior Database Developer

3 days ago

Bengaluru, Karnataka, India Mouritech Full time ₹ 9,00,000 - ₹ 12,00,000 per year

A Senior Database Developer is a highly skilled professional responsible for designing, developing, and maintaining databases to support the storage and retrieval of data for organizations. They are typically involved in creating efficient, scalable database structures, ensuring high performance, data integrity, and security. Senior Database Developers usually work with relational databases (like SQL Server, MySQL, PostgreSQL) or NoSQL databases (like MongoDB, Cassandra), depending on the project.

Here are some common responsibilities and skills for a Senior Database Developer:Responsibilities :Database Design & Architecture :

  • Designing database schemas and structures for high-performance, scalable, and secure systems.
  • Developing complex queries, stored procedures, triggers, and views.

Performance Optimization :

  • Monitoring and optimizing database performance, identifying bottlenecks, and making improvements.
  • Writing efficient, optimized SQL queries for data retrieval and manipulation.

Data Security & Integrity :

  • Implementing backup strategies, disaster recovery plans, and security measures.
  • Ensuring data integrity and consistency within databases.

Collaboration :

  • Collaborating with software developers, system architects, and other stakeholders to meet business requirements.
  • Mentoring junior developers and providing guidance on database best practices.

Database Maintenance :

  • Performing routine database maintenance tasks such as updates, patches, and database migrations.
  • Ensuring the availability and reliability of databases.

Required Skills :

  • SQL (Structured Query Language): Mastery in writing complex SQL queries, joins, and subqueries.
  • Database Management Systems (DBMS): Proficiency in relational and non-relational DBMS like SQL Server, Oracle, MySQL, PostgreSQL, MongoDB, etc.
  • Performance Tuning: Experience optimizing query performance, indexing strategies, and database tuning.
  • ETL Processes: Knowledge of data extraction, transformation, and loading (ETL) processes and tools.
  • Database Security: Experience with database security best practices, including encryption, user management, and access control.

Data Modeling: Strong knowledge of designing normalized and denormalized data models. Scripting Languages: Familiarity with scripting languages (like Python, PowerShell) to automate tasks. Version Control Systems: Knowledge of version control systems like Git for managing database schema changes.

Cloud Databases: Experience with cloud-based databases (AWS RDS, Azure SQL Database, Google Cloud SQL) is a plus. Certifications (optional but beneficial) :Microsoft Certified: Azure Database Administrator AssociateOracle Certified Professional (OCP)Certified MySQL Database Administrator )

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