Database Administrator (DBA) (Job Code: CDIPD/DBA/03/2025)

Brief DescriptionThe Centre for Digital Innovation and Product Development (CDIPD), is a Centre of Excellence established and operating under the aegis of the Kerala University of Digital Sciences, Innovation and Technology (Digital University Kerala), is pleased to announce openings for various project-based positions. We invite applications from highly qualified Indian Citizens to contribute to our diverse portfolio of enterprise-level projects focused on Digital Innovation, Digital Transformation, AI and Data Analytics. At CDIPD, we are at the forefront of Digital Innovation, developing cutting-edge digital solutions across a multitude of sectors. We are entrusted with managing significant enterprise-level digital transformation and Digital innovation projects for a diverse clientele. Our commitment to quality is underscored by our adherence to the CMMI Level 3 industry standard process, ensuring robust and efficient project delivery.   CDIPD prides itself on being an equal opportunity employer, fostering a workplace characterized by fairness and inclusivity. We provide an industry-standard working environment and meticulously defined processes, ensuring a professional and efficient experience for our team members. Our commitment extends to providing comprehensive support facilities and state-of-the-art infrastructure, aligning with the best practices in the industry. Joining CDIPD offers exceptional career growth opportunities through exposure to a wide array of technically challenging projects and the chance to work with multiple cutting-edge technologies, fostering continuous learning and professional advancement.   The Centre is actively seeking experienced and highly skill-oriented candidates to fill the following positions. The initial contract appointment will be for one year and the contract may be extended beyond the initial term, based on the individual's performance and the evolving requirements of our ongoing projects.   Applications shall be submitted only through the CDIPD Career portal (https://cdipd.duk.ac.in/career) on or before 22-09-2025. No other means of application will be accepted.   Job Description

The Database Administrator (DBA) will be responsible for designing, implementing, maintaining, and securing enterprise-level database systems that support high-performance, mission-critical digital solutions across CDIPD. The role requires deep expertise in both on-premise and cloud-based environments, ensuring the reliability, availability, and scalability of the databases integrated with state and national level digital ecosystems.The ideal candidate will have extensive experience in database administration, performance tuning, backup and disaster recovery planning, and working with agile development teams to support scalable, secure, and highly available data systems.

Roles & Responsibilities

Design, install, configure, and upgrade enterprise-class database systems (relational and NoSQL). Ensure high availability and disaster recovery of database services using clustering, replication, and backup strategies. Monitor database performance and implement tuning strategies to optimize query execution and resource utilization. Manage database security including authentication, authorization, auditing, and data encryption. Implement and maintain database backup and recovery solutions aligned with business continuity goals. Collaborate with application development teams to support data modeling, schema design, and performance-aware SQL development. Automate routine DBA tasks using scripts and tools to improve operational efficiency. Conduct regular health checks, audits, and capacity planning for database infrastructure. Participate in cloud migration and modernization projects, including the use of cloud-native database services (AWS RDS, Azure SQL, etc.). Maintain documentation on database configurations, procedures, and operations for compliance and continuity. Provide technical guidance and mentorship on database-related best practices to internal teams

Essential Qualification

BE/BTech/MCA /M.Sc (CS/IT)  from a recognized University/Educational Institution

Desirable Qualification

Certifications related to database administration such as Oracle Certified Associate (OCA) OR Microsoft SQL Server Certification OR, PostgreSQL Certification OR equivalent recognized DBA certifications.

Desirable Experience

Experience in designing and implementing complex database architectures supporting large-scale enterprise applications. Exposure to cloud-native database solutions (such as AWS RDS, Azure SQL, or Google Cloud SQL) and hybrid cloud deployments. Familiarity with disaster recovery planning, database failover strategies, and real-time data replication tools. Hands-on experience with automation tools and scripting for database maintenance and monitoring (e.g., Shell, Python, Ansible). Strong Knowledge of data warehousing concepts, ETL tools, and reporting/BI integration is an added advantage. Knowledge on Database migration process Preferred SkillsRequired Skills

Proven expertise in managing and maintaining large-scale enterprise-grade database systems across on-premise and cloud environments. Hands-on experience in database performance tuning, query optimization, indexing strategies, and resolving performance bottlenecks. Proficiency in backup and recovery strategies, disaster recovery planning, replication, and high availability architectures In-depth knowledge of PL/SQL, stored procedures, triggers, and database design best practices. Familiarity with relational databases (e.g., Oracle, PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra). Strong understanding of database security practices, including access controls, encryption, and auditing. Experience with monitoring and health check tools for production database systems. Exposure to cloud-native database services (AWS RDS, Azure SQL, Google Cloud SQL) and DevOps practices (e.g., CI/CD pipeline, Infrastructure as Code Ability to collaborate effectively with development teams for data modeling, schema design, and deployment.