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Legacy System Modernization Consultant (COBOL/JCL to Databricks) - Remote

Posted 4 weeks ago
Software Development
Contract
NJ, USA
70USD/hour

Overview

We are seeking experienced consultants to support the modernization of legacy mainframe applications, transforming them into scalable, cloud-native solutions.

In Short

  • Analyze existing COBOL and JCL code to extract business logic and data workflows.
  • Translate and re-engineer legacy processes using Databricks (PySpark, SQL, Delta Lake).
  • Document system behavior and technical design for modern implementation.
  • Work closely with architects, analysts, and developers to ensure accurate migration.
  • Conduct unit testing, validation, and performance tuning of modernized code.
  • Provide documentation and knowledge transfer for ongoing support.

Requirements

  • 5+ years of experience with COBOL and JCL in a mainframe environment.
  • 2+ years of hands-on experience with Databricks, PySpark, and Delta Lake.
  • Strong understanding of data migration and legacy modernization best practices.
  • Proficiency with SQL and modern data engineering workflows.
  • Ability to reverse-engineer and refactor legacy systems for cloud platforms.
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration abilities.

Benefits

  • Competitive hourly rate.
  • Opportunity to work on cutting-edge cloud technologies.
  • Flexible working conditions.
  • Engagement in impactful modernization projects.
Lenmar Consulting logo

Lenmar Consulting

Lenmar Consulting is a company operating within the pharmaceutical industry, specializing in providing consulting services that support clinical studies and statistical programming. They focus on delivering high-quality programming and validation activities, ensuring compliance with FDA guidelines and industry standards. With a commitment to excellence, Lenmar Consulting collaborates closely with clients and external vendors to maintain the integrity and accuracy of statistical methodologies in clinical research.

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