Job Description

We are seeking an experienced Database Engineer to design, develop, optimize, and manage enterprise-grade relational and non-relational database systems. The ideal candidate will have strong expertise in database architecture, performance tuning, ETL processes, and large-scale data management, with exposure to geospatial datasets, cloud platforms, and modern DevOps practices. The role involves supporting mission-critical applications, ensuring data security, availability, scalability, and enabling seamless integration across diverse data ecosystems.

Essential Qualifications & Experience

Experience

• Minimum 8+ years of experience in database development, administration, and management of large-scale operational and analytical databases.
• Proven expertise in database design, data modeling, SQL query optimization, indexing strategies, and performance tuning.
• Hands-on experience in designing and managing production-grade databases including:
  • PostgreSQL/PostGIS
  • MySQL
  • Oracle Database
  • MongoDB
  • Cassandra
• Strong experience working with ETL/ELT processes, data integration frameworks, and workflow automation.
• Experience with cloud database platforms such as:
  • AWS RDS
  • Amazon Aurora
  • Azure SQL Database
  • Google Cloud SQL
• Exposure to Python or R for data processing, automation, and analytics workflows.
• Experience managing large-volume datasets, preferably within geospatial, remote sensing, satellite imagery, or IoT environments.
• Prior experience working on Government, Public Sector, Smart City, GIS, or large enterprise projects is highly preferred.
• Working knowledge of containerized environments and DevOps practices using technologies such as Docker, Kubernetes, and CI/CD pipelines.

Domain Knowledge

• Understanding of geospatial data structures, coordinate reference systems (CRS), projections, and spatial indexing techniques.
• Familiarity with OGC, ISO metadata standards, and spatial database best practices.
• Knowledge of database security, high availability, disaster recovery, and compliance frameworks.

Certifications (Mandatory/Preferred)

Relevant certifications in one or more of the following areas are preferred:

• PostgreSQL Certified Professional
• Oracle Database Administration Certification
• Microsoft Azure Database Certifications
• AWS Database Specialty Certification
• MongoDB Certified Developer/DBA
• Cloud or DevOps-related certifications

Key Responsibilities

Database Design & Development

• Design, develop, and maintain scalable relational and non-relational database architectures for enterprise and analytical systems.
• Develop optimized data models, database schemas, entity-relationship diagrams (ERDs), and normalization strategies.
• Implement and manage PostgreSQL/PostGIS, Oracle, MySQL, MongoDB, and other database technologies based on business requirements.
• Define and implement effective indexing, partitioning, and storage strategies for high-performance data access.

Data Integration & ETL

• Design and support robust data ingestion pipelines from:
  • Remote sensing platforms
  • Satellite data sources
  • IoT systems
  • Enterprise applications
  • External APIs
• Develop ETL/ELT workflows for data transformation, validation, and integration.
• Create stored procedures, triggers, functions, views, and automation scripts to improve operational efficiency and data consistency.

Performance Optimization

• Monitor database health and conduct proactive performance tuning.
• Analyze query execution plans and optimize SQL workloads for performance and scalability.
• Implement partitioning, replication, caching, and indexing mechanisms for large datasets.
• Optimize spatial queries, geometry processing, and location-based analytics.

Geospatial Data Management

• Manage spatial and non-spatial datasets within enterprise GIS environments.
• Maintain metadata repositories and data catalogs adhering to OGC and ISO standards.
• Support geospatial interoperability through APIs, web services, and GIS platforms.
• Enable efficient integration with web, mobile, and enterprise GIS applications.

Security, Availability & Governance

• Implement role-based access control (RBAC), authentication, authorization, and data security policies.
• Design and maintain backup, recovery, replication, and high-availability solutions.
• Support disaster recovery planning and business continuity requirements.
• Apply security patches, upgrades, and vulnerability remediation activities.
• Conduct database audits and ensure compliance with organizational and regulatory requirements.

DevOps & Cloud Operations

• Support cloud-native database deployments and hybrid infrastructure environments.
• Collaborate with DevOps teams on CI/CD-enabled database deployment processes.
• Implement database monitoring, logging, and alerting solutions.
• Participate in infrastructure automation and containerized database deployments.

Support & Collaboration

• Provide Level 2/Level 3 technical support for database-related incidents and performance issues.
• Collaborate with application developers, data engineers, GIS specialists, and solution architects to implement robust data solutions.
• Prepare technical documentation, standards, and operating procedures.
• Mentor junior team members and contribute to database best practices across the organization.

Required Technical Skills

Database Technologies

• PostgreSQL/PostGIS
• Oracle Database
• MySQL
• MongoDB
• Cassandra

Programming & Scripting

• SQL/PL-SQL
• Python
• R
• Shell Scripting

Cloud Platforms

• AWS RDS/Aurora
• Azure SQL Database
• Google Cloud SQL

Data Engineering

• ETL/ELT Frameworks
• Data Warehousing
• API Integration
• Workflow Automation

DevOps & Infrastructure

• Docker
• Kubernetes
• CI/CD Pipelines
• Git

GIS & Spatial Technologies

• PostGIS
• Geospatial Data Management
• OGC Standards
• Spatial Indexing
• Coordinate Reference Systems (CRS)