Netezza Performance Engineer

Blutic; Oregon (WI); Hybrid; USD 120,000 - 160,000; Full time

Job summary

Blutic is seeking a Netezza Performance Engineer to optimize large-scale data warehouse workloads in a 24x7 environment. The role focuses on identifying bottlenecks, tuning SQL, and improving throughput using Netezza architecture on Linux/Unix systems.

Remote position in PST hours (8am–5pm). Requires 7+ years of experience and a Bachelor’s degree in CS or related field. Collaboration with cross-functional teams is essential to deliver reliable data platform performance.

Qualifications

• Bachelor’s degree in Computer Science or a related field is required.
• Lead database performance engineering initiatives for Netezza environments in large-scale data warehouses.
• Analyze and optimize complex SQL queries, ETL jobs, and stored procedures to achieve performance gains.
• Identify bottlenecks related to CPU, memory, I/O, distribution, skew, and concurrency.
• Collaborate with development, ETL, BI, and infra teams to improve SQL performance.

Responsibilities

• 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 with performance improvements.
• Identify bottlenecks related to CPU, memory, disk I/O, SPU distribution, skew, and concurrency issues.
• Optimize database performance through table design, distribution keys, zone maps, partitioning strategies.
• Monitor platform health and workload behavior, long-running queries with performance tools.
• Document performance findings and optimization solutions for stakeholders.

Skills

Netezza performance engineering

Query optimization

Workload tuning

Performance analysis

Netezza architecture

Linux/Unix systems

Postgres internals

Parallel processing concepts

Troubleshooting

SQL performance tuning

Education

Bachelor’s degree in Computer Science or related field

Tools

Groom

Generate Statistics

Query execution plans

Enterprise monitoring tools

System performance diagnostics

Job description

Blutic 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, 8am to 5 pm.

Location: Remote (Night Shift)

Experience: 7+ Years

• 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.