Performance Engineer (MDM)

niktor llc • United State
Remote
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AI Summary

Design and implement performance test strategies for enterprise Master Data Management (MDM) platforms. Ensure scalability, reliability, and optimal performance of MDM systems. Collaborate with MDM architects, developers, and infrastructure teams.

Key Highlights
Design and implement performance test strategies
Ensure scalability and reliability of MDM systems
Collaborate with MDM teams
Key Responsibilities
Design and implement performance test strategies for MDM applications and services
Develop and execute load, stress, endurance, and scalability testing
Analyze system performance metrics and identify bottlenecks
Validate performance of data ingestion, data synchronization, data matching, and data governance workflows
Work closely with MDM architects, developers, and infrastructure teams to resolve performance issues
Create workload models simulating real-world data volumes and transaction patterns
Monitor system behavior using APM and monitoring tools
Provide performance tuning recommendations for applications, middleware, and databases
Prepare performance test reports and present findings to stakeholders
Support performance testing in CI/CD pipelines
Ensure performance compliance with SLA and NFR requirements
Technical Skills Required
Performance Testing Tools JMeter / LoadRunner / NeoLoad / Gatling MDM & Data Systems Informatica MDM TIBCO Reltio IBM InfoSphere MDM Database & Query Optimization SQL performance tuning Monitoring & Observability Dynatrace / AppDynamics / Splunk / Grafana / Prometheus Cloud & Infrastructure AWS / Azure / GCP Microservices and API performance testing Containerized environments (Docker, Kubernetes)
Benefits & Perks
100% remote work
Long-term contract

Job Description


Job Title: Performance Engineer

Location: 100% Remote (EST/CST Candidates Only)

Duration: Longterm contract


We are seeking a skilled Performance Engineer to design, develop, execute, and analyze performance testing strategies for enterprise Master Data Management (MDM) platforms. The candidate will ensure scalability, reliability, and optimal performance of MDM systems handling large volumes of data across multiple integration points.


Key Responsibilities

  • Design and implement performance test strategies for MDM applications and services.
  • Develop and execute load, stress, endurance, and scalability testing.
  • Analyze system performance metrics and identify bottlenecks across application, database, and infrastructure layers.
  • Validate performance of data ingestion, data synchronization, data matching, and data governance workflows.
  • Work closely with MDM architects, developers, and infrastructure teams to resolve performance issues.
  • Create workload models simulating real-world data volumes and transaction patterns.
  • Monitor system behavior using APM and monitoring tools.
  • Provide performance tuning recommendations for applications, middleware, and databases.
  • Prepare performance test reports and present findings to stakeholders.
  • Support performance testing in CI/CD pipelines.
  • Ensure performance compliance with SLA and NFR requirements.


Required Technical Skills

Performance Testing Tools

  • JMeter / LoadRunner / NeoLoad / Gatling or similar tools
  • Experience designing distributed load tests


MDM & Data Systems

  • EXPERT Experience with MDM platforms such as:
  • Informatica MDM
  • STIBO
  • Reltio
  • IBM InfoSphere MDM
  • Understanding of data governance and data quality workflows
  • Experience testing ETL and data integration pipelines


Database & Query Optimization

  • Strong knowledge of SQL performance tuning
  • Experience with relational and NoSQL databases
  • Ability to analyze execution plans and optimize queries


Monitoring & Observability

  • Dynatrace / AppDynamics / Splunk / Grafana / Prometheus or similar tools


Cloud & Infrastructure

  • Experience with AWS / Azure / GCP environments
  • Understanding of microservices and API performance testing
  • Familiarity with containerized environments (Docker, Kubernetes)


Required Qualifications

  • Bachelor’s degree in computer science, Engineering, or related field
  • 5+ years in performance engineering or performance testing
  • 3+ years of experience working in enterprise data or MDM projects
  • Strong analytical and troubleshooting skills
  • Excellent communication and documentation


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