Job highlights

- 8+ years in database engineering with 4+ years in graph or time-series DBs, expertise in Neo4j, Cypher, TimescaleDB, and graph algorithms
- Design and optimize Neo4j graph models and Cypher queries, architect TimescaleDB schemas, manage DBA functions including security, replication, backup, and incident response

Database Specialist

Overview

We are seeking an experienced Database Specialist with deep expertise in graph databases and time-series data stores to own the full lifecycle from design to operations — of the data persistence layer for our digital twin platforms. You will be responsible for data modeling, schema design, query optimization, as well as DBA functions including installation, security, replication, backup/recovery, and incident response. This role is critical to ensuring reliable, performant, and secure databases that power simulation and operational intelligence.

Our core database stack includes:

Graph Database

- Neo4j for network topology modeling and relationship graphs
- Cypher for graph queries and traversals
- Graph algorithms (pathfinding, centrality, community detection)

Time-Series Database
- TimescaleDB for high-volume operational and temporal data
- Continuous aggregates and retention policies
- Time-series indexing and compression

Analytics & Governance
- Databricks SQL for analytical queries
- Unity Catalog for metadata management and governance
- Spatial data indexing and geospatial queries

Key Responsibilities
- Design and implement Neo4j graph models for network topology, assets, and dependencies
- Develop and optimize Cypher queries for complex traversals and real-time lookups
- Architect TimescaleDB schemas for high-volume time-series data with partitioning and retention




- Implement graph algorithms for pathfinding, connectivity, and network optimization
- Tune database performance via indexing, query optimization, and schema design
- Install, configure, and maintain Neo4j and TimescaleDB across environments
- Manage database security, access control, encryption, and compliance logging
- Configure replication, clustering, failover, and execute upgrades/migrations
- Establish monitoring, alerting, capacity planning, and incident response
- Integrate with Databricks lakehouse, support Unity Catalog, and document standards/procedures

Preferred Qualifications
- 8+ years of database engineering/DBA experience, with 4+ years in graph or time-series databases
- Track record of designing and operating production-grade Neo4j or TimescaleDB deployments at scale
- Experience with graph algorithm libraries (Neo4j GDS, NetworkX)
- Experience managing databases in enterprise environments with strict SLAs and compliance requirements
- Experience working in agile, cross-functional teams

Highly Desirable
- Experience with database design and operations for digital twin or simulation platforms
- Familiarity with network topology modeling (infrastructure, logistics, utilities, or similar domains)
- Experience with temporal graph patterns (versioned relationships, time-varying properties)
- Exposure to hybrid query patterns combining graph traversals with time-series analytics
- Experience with database migration and schema evolution strategies at scale
- Neo4j Certified Skilled or equivalent certification
- Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus

Location: Hyderabad, Telangana

Department: Engineering

Employment Type: Full-Time

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