Data Analytics Engineer (Datadog)

PROLIM Global Corporation
Frederick, MD, United States
19 days ago
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Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours

Tech stack

Microsoft Excel Amazon Web Services Data Analysis Microsoft Azure Information Systems Information Technology Consulting Database Queries Python (Programming Language) Power BI Cloud Services Standard Sql Data Driven Tests
+7 more
Tableau (Software) Datadog Reliability of Systems Information Technology Data Analytics Performance Monitor Network Server

Job description

PROLIM Global Corporation (www.prolim.com) is currently seeking Data Analytics Engineer for Frederick, Maryland, United State location for one of our Top clients.Location: Frederick, MDExperience: 8-12 YearsDuration: 6 Months [ With possible extension]Job Description:We are looking for an experienced Data Analytics Engineer with strong hands-on expertise in Datadog and Performance Capacity Management (PCM). The ideal candidate will be responsible for building monitoring dashboards, analyzing application and business performance data, identifying trends, supporting capacity planning, and delivering actionable insights to improve system reliability and business operations.Key ResponsibilitiesDesign, build, and maintain Datadog dashboards, monitors, alerts, and APM solutions.Analyze application, infrastructure, and business performance metrics to identify trends, anomalies, and optimization opportunities.Perform performance and capacity analysis using Performance Capacity Management (PCM) methodologies.Create and maintain dashboards and reports for business and technical stakeholders.Support root cause analysis using Datadog logs, traces, and APM.Develop daily, weekly, and monthly reports on system health, performance, and capacity utilization.Collaborate with Engineering, Operations, and Business teams to define KPIs, SLAs, and SLOs.Translate technical monitoring data into meaningful business insights and recommendations.Maintain documentation for monitoring standards, reporting processes, and capacity management.Recommend process improvements based on data-driven analysis.Required Skills8-12 years of experience as a Data Analytics Engineer, Performance Analyst, or similar role.Strong hands-on experience with Datadog (Dashboards, Monitoring, APM, Log Management, Alerting).Experience with Performance Capacity Management (PCM) and Capacity Planning.Strong SQL skills for data analysis and reporting.Experience analyzing system performance and business metrics.Knowledge of KPI, SLA, and SLO monitoring.Strong analytical, problem-solving, and communication skills.Ability to work collaboratively with Engineering, Operations, and Business teams.Preferred SkillsPower BI or Tableau.Advanced Microsoft Excel.AWS, Azure, or GCP monitoring experience.Python or R for data analysis and forecasting.Knowledge of ITIL / IT Service Management (ITSM).Datadog or ITIL certification is a plus.QualificationsBachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field.If you’re passionate about data analytics, observability, performance monitoring, and capacity management, and have strong Datadog expertise, we’d love to hear from youAbout PROLIM CorporationPROLIM is a leading provider of end-to-end IT, PLM and Engineering Services and Solutions for Global 1000 companies. They understand business as much as technology, and help their customers improve their profitability and efficiency by providing high value technology consulting, staffing, and project management outsourcing services.Their IT and PLM consulting offerings include; Advisory, PLM Software/Services, Program Management, Solution Architecture Training/Staffing, Cloud Solutions, Servers/Networking, Infrastructure, ERP Practices and QA Services. Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.

Requirements

  • 8-12 years of experience as a Data Analytics Engineer, Performance Analyst, or similar role.
  • Strong hands-on experience with Datadog (Dashboards, Monitoring, APM, Log Management, Alerting).
  • Experience with Performance Capacity Management (PCM) and Capacity Planning.
  • Strong SQL skills for data analysis and reporting.
  • Experience analyzing system performance and business metrics.
  • Knowledge of KPI, SLA, and SLO monitoring.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to work collaboratively with Engineering, Operations, and Business teams.

Preferred Skills

  • Power BI or Tableau.
  • Advanced Microsoft Excel.
  • AWS, Azure, or GCP monitoring experience.
  • Python or R for data analysis and forecasting.
  • Knowledge of ITIL / IT Service Management (ITSM).
  • Datadog or ITIL certification is a plus.

Qualifications

  • Bachelor’s degree in Computer Science, Information Systems, Business Analytics, or a related field.

If you’re passionate about data analytics, observability, performance monitoring, and capacity management, and have strong Datadog expertise, we’d love to hear from you

About the company

PROLIM Global Corporation (www.prolim.com) is currently seeking Data Analytics Engineer for Frederick, Maryland, United State location for one of our Top clients., PROLIM is a leading provider of end-to-end IT, PLM and Engineering Services and Solutions for Global 1000 companies. They understand business as much as technology, and help their customers improve their profitability and efficiency by providing high value technology consulting, staffing, and project management outsourcing services.

Their IT and PLM consulting offerings include; Advisory, PLM Software/Services, Program Management, Solution Architecture Training/Staffing, Cloud Solutions, Servers/Networking, Infrastructure, ERP Practices and QA Services. Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.

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