Mainframe Capacity Planning Engineer - US

Stradit

Dallas (TX)

On-site

USD 110,000 - 150,000

Full time

5 days ago
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Job summary

Stradit in Dallas, TX seeks a Senior Mainframe Capacity Planning Engineer to monitor and analyze mainframe capacity. You will collect, process, and validate system resource data and business volumes for reporting, using SAS in both mainframe and distributed environments.

Qualifications include 5–10 years of relevant experience, a math/statistics degree, and knowledge of SMF, RMF, CICS, DB2, MQ. MICS/MXG experience is essential, with JCL/ISPF skills and strong Excel/PowerPoint. This is a W2 role.

Qualifications

  • Minimum of 5 years of related experience.
  • Bachelor’s degree in mathematics or statistics preferred or equivalent work experience.

Responsibilities

  • Run and validate the Data Collection and Reporting process using scheduling software.
  • Design basic SAS reports.
  • Build and edit JCL in ISPF.
  • Creating / Updating policies, job aids and other documentation.
  • Data analysis - descriptive statistics and reporting of business volumes.

Education

Bachelor's in Mathematics or Statistics

Tools

SAS
JCL/ISPF
Excel
PowerPoint
Descriptive statistics
Data collection & reporting
Mainframe knowledge
MICS/MXG
SMF
RMF
CICS
DB2
MQ
SAS tooling

Job description

Role: Mainframe Capacity Planning Engineer

Experience: 5 to 10 Years

Employment: W2 (GC and USC only)

Locations: Jersey City NJ, Tampa FL, Dallas TX & Boston MA

Position Summary


The Senior Capacity Planning Engineer for Mainframe works directly with a team responsible for monitoring, analyzing, and reporting mainframe processing capacity at DTCC. The successful candidate will collect, process and validate system resource data along with business volume data for future analysis using sound data science principles. One should have a basic understanding of Mainframe while knowledgeable of sources and tools used to collect, validate, then process required system data. One should have a solid background in descriptive statistics to extrapolate insight from large quantities of raw data using SAS software on the mainframe and in distributed environments.

Specific Responsibilities

Mainframe capacity planning

  • Run and validate the Data Collection and Reporting process using scheduling software.
  • Design basic reports using SAS
  • Build and Edit JCL in ISPF
  • Creating / Updating policies, job aids and other documentation

MICS/MXG support and maintenance

  • Learn MICS/MXG Database Architecture
  • Diagnose MICS related errors.
  • Able to execute and validate MICS administrative tasks to maintain proper maintenance.

Data analysis - Descriptive Statistics

  • Basic methods to Summarize Data
  • Display data in an organized manner.
  • Able to identify, describe patterns and relationships.

Business volumes and other reporting

  • Collection and reporting of business volume data from varied sources.
  • Risk assessments of extreme market conditions for selected business streams
  • Produce/update a Business Process Requirements document for selected business streams.

Management / Regulatory / Audit

  • Organize and store Capacity Planning artifacts in their proper location for future retrieval.
  • Ad hoc report development for senior business and management forums

Mitigates risk by following established procedures and monitoring controls, spotting key errors and demonstrating strong ethical behavior.

Qualifications

  • Minimum of 5 years of related experience
  • Bachelor's degree in a mathematics / statistics discipline preferred or equivalent work experience

Specific Skills & Technologies

  • SAS experience required.
  • Understanding of mainframe technology and components
  • MICS/MXG experience essential.
  • Familiarity with mainframe capacity / performance data (SMF, RMF, CICS, DB2, MQ)
  • MS Office skills, in particular intermediate PowerPoint, and Excel skills
  • Excellent analytical skills including data exploration, analysis, and production of models.
  • Solid background with Descriptive Statistics
  • Inferential Statistics are a plus.
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