Senior Database Engineer

Are you passionate about building robust, scalable, and high-performance database solutions? Do you want to be part of a growing technology organization that is shaping innovative products globally? Transond Systems is looking for a Senior Database Engineer to join our team and help power our next-generation software platforms.Company DescriptionTransond Systems is a forward-thinking technology company with presence in Coimbatore, India, serving clients worldwide. We have a strong track record of building innovative platforms and we are now expanding our engineering team to scale globally.Role OverviewAs a Database Engineer, you will be responsible for designing, implementing, and optimizing databases that can handle high-throughput, low-latency, and globally distributed workloads. You will work closely with backend, data, and DevOps teams to ensure our systems are secure, resilient, and scalable.Key Responsibilities- Design, implement, and maintain highly available and scalable databases (SQL + NoSQL).- Optimize schema design, indexing, and query performance for real-time charging workflows.- Manage time-series data storage for charger telemetry and analytics.- Support multi-tenant SaaS data architecture for global deployments.- Ensure data integrity, backups, disaster recovery, and replication strategies.- Work with data engineers to enable ETL pipelines, reporting, and analytics.- Collaborate with backend engineers to ensure efficient API and microservices performance.- Implement security best practices (encryption at rest, access controls, GDPR compliance).- Monitor and troubleshoot database health, scaling, and cost optimization.- Evaluate and integrate new database technologies where needed.Required Skills & Experience- 4–8 years of experience in database engineering, administration, or development.- Strong expertise in SQL databases (PostgreSQL, MySQL, or similar).- Hands-on experience with NoSQL / time-series DBs (MongoDB, Cassandra, InfluxDB, TimescaleDB).- Proven skills in query optimization, indexing, and performance tuning.- Experience with replication, sharding, clustering, and scaling.- Familiarity with cloud-native databases (AWS RDS, DynamoDB, Aurora, BigQuery, etc.).- Strong background in backup, recovery, and HA / DR strategies.- Knowledge of data security, privacy, and compliance (encryption, GDPR).- Proficiency in scripting (Python, Bash, SQL automation).- Experience working with DevOps / CI-CD pipelines for database changes.Nice to Have- Exposure to real-time streaming pipelines (Kafka, Spark, Flink).- Experience in multi-region database deployments for SaaS.- Knowledge of IoT telemetry or observability related data flows.- Familiarity with data warehousing and BI tools.- Contributions to open-source database tools / monitoring frameworks.