Data Engineer

Expertise in SQL and NoSQL databases (PostgreSQL, Oracle, MySQL, MongoDB,
Cassandra).
Strong experience with AWS database services (RDS, Aurora, DynamoDB,
Redshift).
Advanced skills in performance tuning, data modeling, and query
optimization.
Proficiency in scripting languages (Python, Bash) for automation.
Familiarity with Kafka, streaming technologies, and cloud-native
architectures.

· Performance Optimization
Conduct advanced query tuning, indexing strategies, and resource
optimization for high-volume transactional systems.
Monitor database health and proactively address performance bottlenecks.

· Cloud & Modernization Initiatives
Lead database migration projects to AWS (RDS, Aurora, Redshift) and other
cloud platforms.
Implement automation for schema changes, backups, and disaster recovery
using tools like Liquibase, Terraform, and AWS-native services.

· DevOps Integration
Integrate database operations into CI/CD pipelines for seamless deployments.
Promote Infrastructure-as-Code and automation-first approaches for database
provisioning and configuration.

· Incident Response & Monitoring
Develop observability dashboards (Prometheus/Grafana) and alerting
mechanisms for proactive monitoring.
Lead incident response and root cause analysis for critical database issues.

Minimum job requirements:
Bachelor’s degree with five (5)+ years of relevant experience.