Netezza Performance Engineer
Netezza Performance EngineerBlutic is looking for a highly skilled Netezza Performance Engineer with a minimum of 7+ years of experience in database performance engineering, query optimization, workload tuning, and performance analysis within large-scale enterprise data warehouse environments. The ideal candidate should possess deep expertise in identifying performance bottlenecks, optimizing SQL workloads, improving system throughput, and enhancing overall platform efficiency in mission-critical 24x7 environments.The candidate should have strong analytical and troubleshooting capabilities along with hands-on experience working with Netezza architecture, Linux/Unix systems, and large development teams supporting high-volume transactional and analytical workloads.This is a 100% remote opportunity. The candidate will need to work in PST time zone, 8 am to 5 pm.Location: Remote (Night Shift)Experience: 7+ YearsRoles & Responsibilities:· The candidate should have a Bachelor’s degree in Computer Science or a related field.· Lead database performance engineering initiatives for Netezza environments supporting enterprise-scale data warehouse platforms.· Analyze and optimize complex SQL queries, ETL jobs, and stored procedures, providing recommendations displaying performance improvements. · Identify system bottlenecks related to CPU, memory, disk I/O, SPU distribution, skew, and concurrency issues.· Optimize database performance through effective table design, distribution keys, zone maps, data organization, and partitioning strategies.· Collaborate with application development, ETL, BI, and infrastructure teams to improve application SQL performance.· Monitor platform health, workload behavior, and long-running queries using Netezza performance monitoring tools and custom scripts.· Hands-on experience with Groom, Generate Statistics, query execution plans, and database performance diagnostics.· Strong understanding of Netezza architecture, Postgres internals, query execution engine, and parallel processing concepts.· Recommend database performance best practices, coding standards, and optimization frameworks.· Support high-availability enterprise environments with focus on performance stability, scalability, and reliability.· Ability to document performance findings, optimization recommendations, and engineering solutions for technical and management stakeholders.· Strong verbal and written communication skills.Nice to Have· Experience with cloud platforms such as Azure or AWS.· Exposure to Snowflake or modern cloud data warehouse technologies.· Experience with enterprise monitoring and observability tools.· Knowledge of data warehousing concepts and large-scale ETL ecosystems.