• Provide database support to Development, Infrastructure, DevOps, and Data/Analytics teams across MySQL, PostgreSQL, and NoSQL (MongoDB, Couchbase) environments

• Act as Level 2 escalation for database-related production incidents; lead root cause analysis (RCA) and drive corrective/preventive actions to closure

• Install and configure MySQL (InnoDB and NDB Cluster storage engines), set up and maintain replication, and resolve replication issues

• Review, validate, and advise on schema changes, stored procedures, functions, and triggers submitted by development teams; guide developers on query and indexing optimization

• Monitor database health, performance, capacity, and availability; proactively identify risks and apply corrective actions including configuration tuning and workload analysis

• Support and maintain MinIO/S3-compatible object storage — bucket management, access policies, lifecycle rules, and integration with data pipelines and archival processes

• Support data lakehouse environments integrating relational databases, object storage, and query engines (Apache Spark, Apache Iceberg, Dremio, Trino); assist Data/Analytics teams with ingestion, transformation, and archival workloads

• Implement and maintain database security controls — access management, privileges, authentication, and encryption; perform regular audits, integrity checks, and access reviews

• Execute and validate backup and recovery procedures; support BC/DR planning, testing, and contingency activities

• Review and support database changes across Dev, Test, Pre-Production, and Production environments per change management procedures

• Maintain documentation of configurations, support procedures, change records, and operational runbooks aligned to organisational standards

Desired Candidate Profile

• Bachelor's degree in Computer Science, Information Technology, or a related field.

• 6 + years of combined experience in database development and/or database support roles.

• Strong proficiency in developing stored procedures, functions, triggers, and ETL processes.

• Strong expertise in configuring and maintaining database software across production and non-production environments.

• Expertise in MySQL and PostgreSQL databases.

• Expertise in MongoDB or Couchbase databases.

• Expertise in implementing and managing Redis caching solutions.

• Hands-on experience with MinIO or S3-compatible object storage — bucket management, access policies (IAM), lifecycle rules, and data archival integration.

• Knowledge of data lakehouse concepts and tooling — Apache Iceberg / Delta Lake table formats, query engines such as Dremio, Trino, or Apache Spark, and metadata catalogue services (e.g., Project Nessie).

• Experience with big data technologies (e.g., Hadoop, Spark).

• Knowledge of data warehouse technologies.

• Experience in performance tuning and optimisation.

• Good knowledge of backup and recovery procedures.

• Knowledge of programming languages such as Python or JavaScript.

• Excellent problem-solving and troubleshooting skills.

• Ability to work collaboratively in a team environment.

• Strong communication skills