Senior Lead Data Engineer - R01560164
Brillio 2
Posted: February 4, 2026
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Quick Summary
We are seeking a Senior Lead Data Engineer to join our team in Bangalore, Karnataka, India. The successful candidate will be responsible for monitoring and troubleshooting ETL pipelines, providing end-to-end support, debugging, and resolution of pipeline failures, and communicating pipeline status updates to internal stakeholders.
Required Skills
Job Description
Senior Lead Data Engineer
Primary Skills:
• AKS, Event Hub, Azure DevOps, Cosmos DB, Azure Functions
Specialization:
• Azure Data Engineering Advanced: Senior Data Engineer
Job requirements:
• Key Responsibilities:- ETL Pipeline Monitoring & Support o Monitor and manage multiple ETL pipelines supporting Novacore data platforms. o Provide end-to-end troubleshooting, debugging, and resolution of pipeline failures. o Perform root cause analysis for issues and implement permanent fixes. o Proactively communicate pipeline failures, resolutions, and status updates to internal stakeholders and clients. 1. ETL Development & Architecture Design o Design and develop new ETL pipelines and data processing workflows as per business requirements. o Assist clients in defining data architecture and proposing optimal technical solutions. o Recommend and implement scalable, efficient, and cost-effective ETL and data architecture approaches. o Support enhancements and optimizations to existing pipelines and data models. 2. Production Deployment & DevOps Support o Manage code deployments to Production environments following established release processes. o Utilize Azure DevOps for source control, CI/CD pipelines, release management, and work item tracking. o Ensure deployment best practices, version control, and rollback strategies are followed. 3. Operational Support, Documentation & Collaboration o Provide ongoing operational support and maintenance for data pipelines and related systems. o Create and maintain technical documentation, including pipeline workflows, architecture diagrams, and runbooks. o Collaborate with cross-functional teams (engineering, analytics, and business stakeholders) to ensure smooth delivery and alignment with business goals. o Adhere to agreed SLAs, timelines, and quality standards.