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 Description

Transond 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 Overview

As 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 Dev Ops teams to ensure our systems are secure, resilient, and scalable.

Key Responsibilities

Design, implement, and maintain highly available and scalable databases (SQL + No SQL).

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 Saa S 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 (Postgre SQL, My SQL, or similar).

Hands-on experience with No SQL / time-series DBs (Mongo DB, Cassandra, Influx DB, Timescale DB).

Proven skills in query optimization, indexing, and performance tuning.

Experience with replication, sharding, clustering, and scaling.

Familiarity with cloud-native databases (AWS RDS, Dynamo DB, Aurora, Big Query, 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 Dev Ops / 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 Saa S.

Knowledge of Io T telemetry or observability related data flows.

Familiarity with data warehousing and BI tools.

Contributions to open-source database tools / monitoring frameworks.