Senior Database Engineer

Transond Systems

8 years

0 Lacs

coimbatore tamil nadu india

Posted:1 week ago| Platform:

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Skills Required

database technology power software engineering latency data devops design sql indexing query storage support saas architecture integrity replication etl reporting api microservices security encryption rest controls scaling postgresql mysql nosql mongodb optimization sharding clustering aws dynamodb backup compliance scripting python kafka spark iot monitoring

Work Mode

On-site

Job Type

Full Time

Job Description

Senior Database Engineer

Company Description

India

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 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.

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