Database Engineer (SQL)

As a Database Engineer (SQL), you will play a key role in designing, optimizing, and scaling our database infrastructure. You will collaborate closely with engineers, data analysts, and product teams to improve the current database architecture and build new high-performance, scalable, and secure databases tailored to our business needs.

• Design, develop, and optimize highly scalable database architectures with a focus on PostgreSQL .
  

• Lead the migration, optimization, and restructuring of existing databases to ensure efficiency and scalability.
  

• Implement and enforce database best practices, including indexing, partitioning, query optimization, and normalization.
  

• Define and execute high-availability and disaster recovery strategies.
  

• Work closely with engineering teams to ensure efficient database schema design and support the development of new features.
  

• Monitor and troubleshoot database performance, identifying and resolving bottlenecks.
  

• Ensure data security and compliance with industry standards, implementing encryption, access control, and auditing policies.
  

• Optimize stored procedures, triggers, and functions for maximum efficiency.
  

Technology Stack:

• Database: PostgreSQL (Primary), AWS RDS, SQL.
  

• Big Data & ETL: Apache Kafka, Airflow, dbt, Snowflake (nice to have).
  

• Performance Optimization: Indexing, Partitioning, Query Optimization, Caching.
  

• Security: Data Encryption, Role-Based Access Control (RBAC), Auditing.
  

• Tools & DevOps: Liquibase, Flyway, Terraform, Kubernetes (for DB management).
  

• Scripting & Programming: SQL, PL/pgSQL, Python, Bash.
  

• Methodologies: Agile, Scrum.
  

  
  
  
  

Requirements

• 3+ years of experience as a Database Developer , focusing on PostgreSQL.
  

• Proven expertise in designing, optimizing, and managing large-scale, high-performance databases .
  

• Strong knowledge of AWS database services (RDS, Aurora, EC2-based PostgreSQL instances) and on-premise PostgreSQL deployments.
  

• Experience implementing HA (High Availability) & replication strategies (e.g., Patroni, PgBouncer, Streaming Replication).
  

• Deep understanding of query optimization, partitioning, indexing, caching, and concurrency control.
  

• Proficiency in backup/recovery strategies and disaster recovery planning.
  

• Hands-on experience with CI/CD pipelines and Infrastructure as Code tools like Terraform, Ansible, or AWS CloudFormation.
  

• Experience in database security , ETL pipelines and data warehousing .
  

• Proficiency in SQL, PL/pgSQL , and scripting languages like Python or Bash for automation.
  

• Familiarity with monitoring and alerting tools (AWS CloudWatch, Prometheus, Grafana, Datadog).
  

• Excellent English communication skills, with the ability to collaborate effectively with both technical and non-technical teams.