Key Responsibilities:

• Lead architecture and implementation of lakehouse solutions using Iceberg for table management, governance, and scalable storage patterns.
• Design and optimize distributed query workloads using Trino, including catalog configuration, connector strategy, and query performance tuning.
• Build and operate high-performance analytics serving layers using Doris, focusing on ingestion patterns, schema design, and workload isolation.
• Drive end-to-end data pipeline execution leveraging Spark for batch processing, transformations, and data quality enforcement.
• Establish standards for data modeling, partitioning, compaction, file sizing, and lifecycle management to improve cost and performance.
• Own production readiness: monitoring, alerting, incident response, root-cause analysis, and continuous performance improvements across the stack.
• Collaborate with stakeholders to translate analytical needs into scalable technical designs, delivery plans, and measurable outcomes.
• Mentor engineers, conduct design/code reviews,



and guide best practices for reliability, maintainability, and secure data access. Minimum Qualifications:
• BTECH, MTECH, MCA, or MSC in Computer Science, Engineering, or a related field.
• 8–12 years of experience in data engineering, data platform, or analytics infrastructure roles with leadership/ownership responsibilities.
• Strong hands-on expertise with Iceberg, Doris, and Trino in production environments, including performance tuning and operational support.
• Solid experience with Spark for scalable data processing and pipeline development.
• Solid understanding of distributed systems, data storage formats, query optimization, and production troubleshooting practices. Preferred Qualifications:
• Proven experience designing lakehouse architectures, including table layout strategies, compaction approaches, and multi-engine interoperability.
• Advanced Trino optimization experience (query plans, statistics, resource groups,

📌 Iceberg, Doris, Trino (Bengaluru)
🏢 Infosys
📍 Bengaluru