Senior Database Consultant
NTT DATA BUSINESS SOLUTIONS
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Job summary
NTT DATA BUSINESS SOLUTIONS is seeking a Senior Database Developer / Data Engineering Lead to drive design, development, modernization, and support of enterprise-scale data platforms and event-driven apps.
The role demands deep SQL Server, ETL, Kafka, OpenShift/Kubernetes, DevOps expertise and hands-on technical leadership across cross-functional teams.
Qualifications
- 8+ years of experience in SQL Server development and enterprise database solutions.
- Experience with SQL Server 2017/2022 including Stored Procedures, Functions, Views, Triggers and Complex Queries.
- Experience with SSIS, ETL design, and data integration platforms.
- Hands-on experience with OpenShift/Kubernetes, cloud-native apps, and DevOps practices.
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.
- Develop resilient and scalable microservices using Spring Boot and REST APIs.
- Lead architecture discussions, reviews, and 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 infra.
Skills
Education
Tools
Job description
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.
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.
- 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.
- 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 DesignLet's correct that part of
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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 SummaryWe 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.
- Strong 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 SkillsetData 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.
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