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Open nowPosted 73 days ago

Senior Database Engineer

Cambridge Technology15 open roles

Where
Hyderabad, India
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Your applicationOpen nowSenior Database EngineerCambridge Technology · Hyderabad, India
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This job: posted 73 days ago

The posting

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)
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