Job Title

Senior Database Developer

Location

Bangalore

Employment Type

Full-Time

Experience Required

8+ years of relevant experience in Database Development, Data Engineering, ETL Modernization, Kafka-based Event Streaming, Cloud-Native Platforms, and Enterprise Application Development.

Job Summary

We are seeking a highly skilled Senior Database Developer / Data Engineering Lead to join our technology team and drive the design, development, modernization, and support of enterprise-scale data platforms and event-driven applications. The ideal candidate will possess deep expertise in SQL Server, ETL, Kafka, OpenShift/Kubernetes, DevOps, and enterprise data engineering practices.

This role requires strong hands-on technical leadership, architectural expertise, and the ability to collaborate across application, infrastructure, cloud, and database teams to deliver scalable, resilient, and high-performance solutions.

The successful candidate will play a key role in modernizing legacy systems, implementing cloud-native architectures, optimizing database performance, and enabling seamless data integration across the enterprise ecosystem.

Responsibilities

- Design, develop, and maintain enterprise-scale ETL and data integration solutions.
- Modernize legacy ETL applications and migrate workloads to Spark and Spring Batch frameworks.
- Design and implement high-performance Kafka-based event streaming and ingestion platforms.
- Lead SQL Server performance optimization, database modernization, migration, and scalability initiatives.
- Design, deploy, and support cloud-native applications on OpenShift and Kubernetes platforms.
- Develop resilient and scalable microservices using Spring Boot and REST APIs.
- Lead technical architecture discussions, design reviews, and solution governance activities.
- Establish development standards, best practices, and engineering frameworks.
- Mentor development teams and provide technical leadership across projects.
- Troubleshoot and resolve production issues across application, database, Kafka, middleware, and infrastructure layers.
- Drive DevOps adoption through automation, CI/CD implementation,



and deployment optimization.
- Collaborate with DBAs, infrastructure teams, cloud architects, and business stakeholders to deliver enterprise solutions.
- Ensure platform reliability, security, scalability, and operational excellence.

Required Qualifications
- Bachelors or masters degree in computer science, Information Technology, Engineering, or a related field.
- 10+ years of experience in SQL Server development and enterprise database solutions.
- Strong expertise in SQL Server 2017/2022, including:

- Stored Procedures

- Functions

- Views

- Triggers

- Complex SQL Queries

- Extensive experience in

- SSIS Development

- Complex ETL Design

- Data Integration Platforms

- Strong knowledge of

- Query Optimization

- Index Optimization

- Database Partitioning

- Performance Tuning
- Hands-on experience with:
- SQL Server Always on Availability Groups

- Database Migration

- Data Archiving

- Data Retention Strategies
- Proven experience developing and supporting Kafka-based solutions, including:

- Kafka Producers and Consumers

- Kafka Performance Tuning

- Avro Schemas

- Schema Registry

- Strong experience with

- OpenShift (OCP)

- Kubernetes

- Docker Containers

- Cloud Migration Initiatives
- Hands-on experience with DevOps practices and tools:

- GitHub Actions

- Harness

- Liquibase

- CI/CD Pipelines
- Experience with automation scripting using:

- PowerShell

- Autosys
- Experience in enterprise file integration technologies:

- NAS
- IBM NDM / Connect: Direct

- Object Storage

- Batch Processing
- Experience providing production support in large-scale enterprise environments.
- Solid analytical, troubleshooting, and problem-solving skills.




- Excellent stakeholder management and communication skills.

Desired Qualifications
- Experience with Java development using Spring Boot.
- Knowledge of REST API development and Microservices architecture.
- Exposure to Spark-based data engineering solutions.
- Experience with Service Mesh technologies such as Istio.
- Experience with API Management platforms including:

- APIGEE

- API Gateway
- Familiarity with Avi Load Balancer.
- Experience working in cloud transformation and modernization programs.
- Exposure to Agile and DevSecOps methodologies.
- Prior experience leading teams and mentoring engineers.

Primary Skillset

Data Engineering ETL

- SQL Server (2017/2022) Development.
- SSIS Development and complex ETL pipeline design.
- Development of database objects including Stored Procedures, Functions, Views, and Triggers.
- Database performance tuning, query optimization, partitioning, and indexing strategies.
- SQL Server Always on Availability Groups implementation and support.
- Database migration, data archival, and retention management.

Messaging Event Streaming
- Apache Kafka administration and development.
- Kafka Producer and Consumer application development.
- Kafka monitoring and performance optimization.
- Avro Schemas and Schema Registry.

Cloud Container Platforms
- OpenShift (OCP) Administration and Application Deployment.
- Kubernetes orchestration and container management.
- Docker containerization.
- Service Mesh (Istio).
- APIGEE and API Gateway implementations.
- Avi Load Balancer.
- Cloud migration and modernization initiatives.

DevOps
- GitHub Actions.
- Harness.
- Liquibase.
- CI/CD Pipeline implementation and automation.

Automation
- PowerShell scripting.
- Autosys job scheduling and automation.

File Integration
- NAS integrations.
- IBM NDM / Connect: Direct.
- Object Storage solutions.
- Enterprise batch processing platforms.

Observability Monitoring Tools
- Splunk.
- Grafana.
- Prometheus.
- AppDynamics.
- Dynatrace/Linborg (as applicable).

Secondary Skillset
- Java development using Spring Boot.

📌 Senior Database Consultant (Bengaluru)
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